From ef81ba73587266663dcd208cb03b877d499b8f6b Mon Sep 17 00:00:00 2001 From: dr3y Date: Mon, 27 May 2019 13:52:34 -0700 Subject: [PATCH 01/43] Update README.md text to update library from my repo --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index bce113e..380fa1c 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,5 @@ +pip install --upgrade --no-deps git+git://github.com/dr3y/dnaplotlib.git@master + # DNAplotlib DNAplotlib is a library that enables highly customizable visualization of individual genetic constructs and libraries of design variants. It can be thought of in many ways as matplotlib for genetic diagrams. Publication quality vector-based output is produced and all aspects of the rendering process can be easily customized or replaced by the user. DNAplotlib is capable of SBOL Visual compliant diagrams in addition to a format able to better illustrate the precise location and length of each genetic part. This alternative "traced-based" visualization method enables direct comparison with nucleotide-level information such as RNA-seq read depth or other base resolution measures. While it is envisaged that access will be predominantly via the programming interface, several easy to use text-based input formats can be processed by a command-line scripts to facilitate broader usage. DNAplotlib is cross-platform and open-source software released under the OSI OSL-3.0 license. From fd930f866bc633f4bd49a51587eb7e8f3e6dc427 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 14:00:49 -0700 Subject: [PATCH 02/43] added recombinase site renderers --- dnaplotlib/dnaplotlib.py | 550 +++++++++++++++++++++++++-------------- 1 file changed, 350 insertions(+), 200 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index ff6ab05..9dc9caa 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -4,21 +4,21 @@ ========== This module is designed to allow for highly customisable visualisation of DNA fragments. Diagrams can be in the form of conceptual SBOL compliant icons or - make use of icons whose width is scaled to allow for easier comparison of part + make use of icons whose width is scaled to allow for easier comparison of part locations to trace information, such as for corresponding RNA-seq read depth - data. All plotting is performed using matplotlib and to an axis object. This + data. All plotting is performed using matplotlib and to an axis object. This enables the export of publication quality, vector-based figures. Furthermore, - all standard renderers can be replaced with user defined versions to allow + all standard renderers can be replaced with user defined versions to allow for full customisation of the plot. - To make use of this module it is necessary to create the rendering object + To make use of this module it is necessary to create the rendering object after importing the module: > import dnaplotlib as dpl > dr = dpl.DNARenderer() This object performs all rendering using the renderDNA() method. To describe - what should be plotted, dnaplotlib requires the DNA design in a specific + what should be plotted, dnaplotlib requires the DNA design in a specific format. For standard SBOL diagrams a design is a list of dictionaries where each dictionary relates to a specific part and as a minimum contains the keys: @@ -40,7 +40,7 @@ > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) The function returns the start and end point of the design which can then - be used for resizing the axes and figure. For more advanced use cases we + be used for resizing the axes and figure. For more advanced use cases we advise looking at the gallery distributed with this module. """ @@ -100,7 +100,7 @@ def write_label (ax, label_text, x_pos, opts=None): if 'label_rotation' in list(opts.keys()): label_rotation = opts['label_rotation'] ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', - verticalalignment='center', fontsize=label_size, fontstyle=label_style, + verticalalignment='center', fontsize=label_size, fontstyle=label_style, color=label_color, rotation=label_rotation, zorder=30+zorder_add) @@ -152,17 +152,17 @@ def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = start+x_extent final_end = end+end_pad # Draw the promoter symbol - l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, + l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=9+zorder_add) l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], - [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, + [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=10+zorder_add) ax.add_line(l1) ax.add_line(l2) - p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent+(arrowhead_height)), + p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, + dir_fac*y_extent+(arrowhead_height)), (start+dir_fac*x_extent, dir_fac*y_extent), - (start+dir_fac*x_extent-dir_fac*arrowhead_length, + (start+dir_fac*x_extent-dir_fac*arrowhead_length, dir_fac*y_extent-(arrowhead_height))], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 @@ -233,15 +233,15 @@ def sbol_cds (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = start+x_extent final_end = end+end_pad # Draw the CDS symbol - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (end-dir_fac*arrowhead_length, -y_extent), (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), (end, 0), (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), (end-dir_fac*arrowhead_length, y_extent)], - edgecolor=edgecolor, facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=11+zorder_add, + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): @@ -297,9 +297,9 @@ def sbol_terminator (ax, type, num, start, end, prev_end, scale, linewidth, opts end = start+x_extent final_end = end+end_pad # Draw the terminator symbol - l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, + l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add) - l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], + l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, color=color, zorder=9+zorder_add) ax.add_line(l1) ax.add_line(l2) @@ -352,7 +352,7 @@ def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = prev_end+end_pad final_end = start+start_pad rbs_center = (end+((start-end)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, + w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) ax.add_patch(w1) else: @@ -360,7 +360,7 @@ def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = start+x_extent final_end = end+end_pad rbs_center = (start+((end-start)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, + w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) ax.add_patch(w1) if opts != None and 'label' in list(opts.keys()): @@ -435,20 +435,20 @@ def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = prev_end+end_pad final_end = start+start_pad rbs_center = (end+((start-end)/2.0),-y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], + x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], + x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) if(headgroup == "O" and linetype == "dash"): @@ -472,20 +472,20 @@ def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = start+x_extent final_end = end+end_pad rbs_center = (start+((end-start)/2.0),y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], + x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], + x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) if(headgroup == 'O' and linetype == 'dash'): @@ -504,7 +504,7 @@ def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): ax.add_line(x1) ax.add_line(x2) ax.add_line(solidX) - + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -834,17 +834,17 @@ def sbol_scar (ax, type, num, start, end, prev_end, scale, linewidth, opts): start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], + l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) @@ -928,18 +928,18 @@ def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], + l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_line(l_top) @@ -995,18 +995,18 @@ def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], + l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_line(l_top) @@ -1058,7 +1058,7 @@ def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, lin linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + # Direction is meaningless for this part => start is always < end if start > end: temp_end = end @@ -1071,21 +1071,21 @@ def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, lin start = prev_end+start_pad end = start+x_extent+site_space+x_extent final_end = end+end_pad - - l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], + + l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], + l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], + l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], + l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], + l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], + l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - + ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) @@ -1136,7 +1136,7 @@ def sbol_primer_binding_site (ax, type, num, start, end, prev_end, scale, linewi linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + direction = 'F' if start > end: direction = 'R' @@ -1217,7 +1217,7 @@ def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + # Direction is meaningless for this part => start is always < end if start > end: temp_end = end @@ -1230,24 +1230,24 @@ def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, start = prev_end+start_pad end = start+end_space+x_extent+end_space final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], + l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], + l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (end, -y_extent), (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) @@ -1291,7 +1291,7 @@ def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + # Direction is meaningless for this part => start is always < end if start > end: temp_end = end @@ -1304,24 +1304,24 @@ def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, start = prev_end+start_pad end = start+end_space+x_extent+end_space final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], + l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], + l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) ax.add_line(l1_top) ax.add_line(l1_bottom) # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (end, -y_extent), (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) @@ -1372,17 +1372,17 @@ def sbol_user_defined (ax, type, num, start, end, prev_end, scale, linewidth, o start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - + #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) - + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -1429,7 +1429,7 @@ def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + direction = 'F' if start > end: direction = 'R' @@ -1455,12 +1455,12 @@ def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts cross_width = (y_extent*2.0)*0.7 if direction == 'F': - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) top1x = start + indent_fac top1y = y_extent - indent_fac @@ -1470,21 +1470,21 @@ def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts bot1y = -y_extent + indent_fac bot2x = start + cross_width bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lcross1) ax.add_line(lcross2) - lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], + lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lsign) else: - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start-x_extent, -y_extent), (start-x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) top1x = start - indent_fac @@ -1495,13 +1495,13 @@ def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts bot1y = -y_extent + indent_fac bot2x = start - cross_width bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lcross1) ax.add_line(lcross2) - lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], + lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(lsign) @@ -1515,6 +1515,152 @@ def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts return prev_end, final_start else: return prev_end, final_end +def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - forward direction + """ + # Default parameters + color = (0,0,0) + color2 = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'color2' in list(opts.keys()): + color2 = opts['color2'] + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad + final_end = start+start_pad + color = color2 + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + +def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + color2 = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'color2' in list(opts.keys()): + color2 = opts['color2'] + else: + if 'color' in list(opts.keys()): + r2 = float(color[0]) / 2 + g2 = float(color[1]) / 2 + b2 = float(color[2]) / 2 + color2 = (r2,g2,b2) + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad + final_end = start+start_pad + temp = color + color = color2 + color2 = temp + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + midpoint = (end + start) / 2 + hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) + hypotenuse2 = hypotenuse / 2 + cosineA = (y_extent/2) / hypotenuse + f = hypotenuse2 * cosineA + p2 = Polygon([(midpoint, -1*f), + (midpoint, f), + (end,0)], + edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + ax.add_patch(p2) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): @@ -1552,8 +1698,8 @@ def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth start = prev_end+start_pad end = start + linewidth final_end = end+end_pad - - l1 = Line2D([start,start],[-y_extent,y_extent], + + l1 = Line2D([start,start],[-y_extent,y_extent], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) ax.add_line(l1) @@ -1606,7 +1752,7 @@ def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): # Check direction add start padding final_end = end final_start = prev_end - + start = prev_end+start_pad end = start+x_extent final_end = end+end_pad @@ -1616,13 +1762,13 @@ def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): delta = radius - 0.5 * radius * math.sqrt(2) - l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], + l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], + l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, facecolor=color, zorder=12+zorder_add) - + ax.add_patch(c1) ax.add_line(l1) ax.add_line(l2) @@ -1673,17 +1819,17 @@ def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): # Check direction add start padding final_end = end final_start = prev_end - + start = prev_end+start_pad end = start+x_extent final_end = end+end_pad ori_center = (start+((end-start)/2.0),0) - - c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + + c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=12+zorder_add) - + ax.add_patch(c1) - + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -1734,17 +1880,17 @@ def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - + #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) - + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -1788,21 +1934,21 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - + # Check direction add start padding final_end = end final_start = prev_end start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - + #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + p1 = Polygon([(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) bits = 5.0 gap_size = ((end-start)/bits) @@ -1810,16 +1956,16 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) x_inset_end = start + ((bits-1.0)*gap_size) # Inside rectangle - p2 = Polygon([(x_inset_start, y_extent-gap_size), + p2 = Polygon([(x_inset_start, y_extent-gap_size), (x_inset_start, -y_extent+gap_size), (x_inset_end, -y_extent+gap_size), (x_inset_end, y_extent-gap_size)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) ax.add_patch(p2) - + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -1878,13 +2024,13 @@ def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - + e1center = (start+((end-start)/2.0),0) e2center = (start+((end-start)/2.0)+x_extent/3.75,0) - e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, fill=True, zorder=12+zorder_add) - e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, fill=True, zorder=11+zorder_add) ax.add_patch(e1) @@ -1933,7 +2079,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ arcHeightEnd = arcHeightStart*1.5 arc_start_x_offset = 0.0 arc_end_x_offset = 0.0 - + # Reset defaults if provided if opts != None: if 'arrowhead_length' in list(opts.keys()): @@ -1979,17 +2125,17 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ corr *= -1 - line_away = Line2D([start,start],[base,top], + line_away = Line2D([start,start],[base,top], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_across = Line2D([start,end],[top,top], + line_across = Line2D([start,end],[top,top], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_toward = Line2D([end,end],[top,arcHeightEnd+corr], + line_toward = Line2D([end,end],[top,arcHeightEnd+corr], linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], + line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], linewidth=linewidth, color=color, zorder=12, linestyle='-') if(type == 'Repression'): @@ -2058,26 +2204,26 @@ def trace_promoter_start (ax, type, num, start_bp, end_bp, prev_end, scale, line dir_fac = -1.0 y_offset = -y_offset # Draw the promoter symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) ax.add_line(l2) - p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), + p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): @@ -2130,26 +2276,26 @@ def trace_promoter (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, dir_fac = -1.0 y_offset = -y_offset # Draw the promoter symbol - l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) ax.add_line(l1) ax.add_line(l2) - p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), + p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): @@ -2201,10 +2347,10 @@ def trace_rbs (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) ax.add_artist(c1) # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): @@ -2248,12 +2394,12 @@ def trace_user_defined (ax, type, num, start_bp, end_bp, prev_end, scale, linewi if start_bp > end_bp: dir_fac = -1.0 # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), + p1 = Polygon([(start_bp, y_extent+y_offset), (start_bp, -y_extent+y_offset), (end_bp-dir_fac*scale, -y_extent+y_offset), (end_bp-dir_fac*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): @@ -2303,15 +2449,15 @@ def trace_cds (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts if start_bp > end_bp: dir_fac = -1.0 # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), + p1 = Polygon([(start_bp, y_extent+y_offset), (start_bp, -y_extent+y_offset), (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), (end_bp, 0+y_offset), (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) if opts != None and 'label' in list(opts.keys()): @@ -2363,10 +2509,10 @@ def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidt ax.add_line(l1) ax.add_line(l2) # Shade the terminator area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), (start_bp, highlight_y_extent+y_offset), (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): @@ -2389,13 +2535,15 @@ class DNARenderer: """ # Standard part types - STD_PART_TYPES = ['Promoter', - 'CDS', + STD_PART_TYPES = ['Promoter', + 'CDS', 'Terminator', 'RBS', 'Scar', 'Spacer', 'EmptySpace', + 'RecombinaseSite', + 'RecombinaseSite2', 'Ribozyme', 'Ribonuclease', 'Protease', @@ -2427,7 +2575,7 @@ class DNARenderer: 'Activation', 'Connection'] - def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), + def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), backbone_pad_left=0.0, backbone_pad_right=0.0): """ Constructor to generate an empty DNARenderer. @@ -2456,8 +2604,8 @@ def SBOL_part_renderers (self): """ Return dictionary of all standard built-in SBOL part renderers. """ return { - 'Promoter' :sbol_promoter, - 'CDS' :sbol_cds, + 'Promoter' :sbol_promoter, + 'CDS' :sbol_cds, 'Terminator' :sbol_terminator, 'RBS' :sbol_rbs, 'Scar' :sbol_scar, @@ -2465,6 +2613,8 @@ def SBOL_part_renderers (self): 'EmptySpace' :sbol_empty_space, 'Ribozyme' :sbol_ribozyme, 'Ribonuclease' :sbol_stem_top, + 'RecombinaseSite' :sbol_recombinase1, + 'RecombinaseSite2' :sbol_recombinase2, 'Protease' :sbol_stem_top, 'DNACleavageSite' :sbol_stem_top, 'RNACleavageSite' :sbol_stem_top, @@ -2493,17 +2643,17 @@ def trace_part_renderers (self): """ Return dictionary of all standard built-in trace part renderers. """ return { - 'Promoter' :trace_promoter, - 'CDS' :trace_cds, + 'Promoter' :trace_promoter, + 'CDS' :trace_cds, 'Terminator' :trace_terminator, 'RBS' :trace_rbs, - 'UserDefined' :trace_user_defined} + 'UserDefined' :trace_user_defined} def std_reg_renderers (self): """ Return dictionary of all standard built-in regulation renderers. """ return { - 'Repression' :repress, + 'Repression' :repress, 'Activation' :induce, 'Connection' :connect} @@ -2519,7 +2669,7 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p The design to draw. This is a list of dicts, where each dict relates to a part and must contain the following keys: - name (string) - - type (string) + - type (string) - fwd (bool) - start (float, optional) - end (float, optional) @@ -2533,12 +2683,12 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p Regulation present in the design. This is a list of dicts, where each dict relates to a single regulation arc and must contain the following keys: - type (string) - - from_part (part object dict) + - from_part (part object dict) - to_part (part object dict) These will then be drawn in accordance with the renders selected. reg_renderers : dict(functions) (default=None) - Dict of functions where the key in the regulation type and the dictionary + Dict of functions where the key in the regulation type and the dictionary returns the function to be used to draw that regulation type. Returns @@ -2555,7 +2705,7 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' # Make text editable in Adobe Illustrator - matplotlib.rcParams['pdf.fonttype'] = 42 + matplotlib.rcParams['pdf.fonttype'] = 42 # Plot the parts to the axis part_num = 0 prev_end = 0 @@ -2592,9 +2742,9 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p # Use the correct renderer if 'renderer' in list(part.keys()): # Use custom renderer - prev_start, prev_end = part['renderer'](ax, part['type'], part_num, + prev_start, prev_end = part['renderer'](ax, part['type'], part_num, part['start'], part['end'], prev_end, - self.scale, self.linewidth, + self.scale, self.linewidth, opts=part_opts) #update start,end for regulation @@ -2607,12 +2757,12 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p else: # Use standard renderer, if one exists if part['type'] in list(part_renderers.keys()): - prev_start, prev_end = part_renderers[part['type']](ax, - part['type'], part_num, - part['start'], part['end'], - prev_end, self.scale, + prev_start, prev_end = part_renderers[part['type']](ax, + part['type'], part_num, + part['start'], part['end'], + prev_end, self.scale, self.linewidth, opts=part_opts) - + #update start,end for regulation [TEG] if part['fwd'] == True: part['start'] = prev_start @@ -2620,12 +2770,12 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p else: part['start'] = prev_end part['end'] = prev_start - + if first_part == True: first_start = prev_start first_part = False part_num += 1 - + # first pass to get all of the arcranges if regs != None: @@ -2639,9 +2789,9 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p reg_opts = None if 'opts' in list(reg.keys()): reg_opts = reg['opts'] - + if reg['type'] in list(reg_renderers.keys()): - + ############################################################################## arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 @@ -2669,20 +2819,20 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p reg_opts = None if 'opts' in list(reg.keys()): reg_opts = reg['opts'] - + if reg['type'] in list(reg_renderers.keys()): - + ############################################################################## # arc height algorithm: greedy from left-to-right on DNA design - + arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 - + arcmin = min(arcstart,arcend) arcmax = max(arcstart,arcend) arcrange = [arcmin,arcmax,reg['arc_height_index']] arc_height_index = 1 - + # arc above if to_part is fwd if(reg['to_part']['fwd'] == True): # find max arc height index of ONLY the prior arcs that clash with the current arc @@ -2700,7 +2850,7 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p elif(arcrange[1] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] - + # if arcs cross over, increment the arc height index for r in pos_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): @@ -2716,7 +2866,7 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p reg['arc_height_index'] = current_max + 1 arcrange[2] = reg['arc_height_index'] pos_arc_ranges.append(arcrange) - + # arc below if to_part is reverse else: # find max arc height index @@ -2734,7 +2884,7 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p elif(arcrange[1] > r[1] and arcrange[0] < r[0]): if(r[2] > current_max): current_max = r[2] - + # if arcs cross over, increment the arc height index for r in neg_arc_ranges: if (arcrange[0] > r[0] and arcrange[0] < r[1]): @@ -2751,14 +2901,14 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p arcrange[2] = reg['arc_height_index'] neg_arc_ranges.append(arcrange) ############################################################################## - reg_renderers[reg['type']](ax, reg['type'], - reg_num, reg['from_part'], - reg['to_part'], self.scale, + reg_renderers[reg['type']](ax, reg['type'], + reg_num, reg['from_part'], + reg['to_part'], self.scale, self.linewidth, reg['arc_height_index'], opts=reg_opts) reg_num += 1 # Plot the backbone (z=1) if plot_backbone == True: - l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], + l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], linewidth=self.linewidth, color=self.linecolor, zorder=10) ax.add_line(l1) return first_start, prev_end @@ -2772,10 +2922,10 @@ def annotate (self, ax, part_renderers, part, annotate_zorder=1000): else: part['opts']['zorder_add'] = annotate_zorder # Draw the part - part_renderers[part['type']](ax, - part['type'], 1, - part['start'], part['end'], - part['start'], self.scale, + part_renderers[part['type']](ax, + part['type'], 1, + part['start'], part['end'], + part['start'], self.scale, self.linewidth, opts=part['opts']) @@ -2790,7 +2940,7 @@ def plot_sbol_designs (axes, dna_designs, regulations=None, plot_params={}, plot Parameters ---------- axes : list(matplotlib.axis) - List of axis objects to plot the designs to. + List of axis objects to plot the designs to. dna_designs : list(dict(design_information)) List of designs to plot. @@ -2830,7 +2980,7 @@ def plot_sbol_designs (axes, dna_designs, regulations=None, plot_params={}, plot if 'linewidth' in list(plot_params.keys()): linewidth = plot_params['linewidth'] dr = DNARenderer(scale=scale, linewidth=linewidth, - backbone_pad_left=left_pad, + backbone_pad_left=left_pad, backbone_pad_right=right_pad) # We default to the standard regulation renderers @@ -2945,8 +3095,8 @@ def convert_attrib (attrib): return attrib -dpl_default_type_map = {'gene': 'CDS', - 'promoter': 'Promoter', +dpl_default_type_map = {'gene': 'CDS', + 'promoter': 'Promoter', 'terminator': 'Terminator', 'rbs': 'RBS'} From 49934449f5e6142e447ce270a39fcd1a612d4176 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 14:11:59 -0700 Subject: [PATCH 03/43] reverse crash fix? --- dnaplotlib/dnaplotlib.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 9dc9caa..1698035 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2721,10 +2721,11 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p part['fwd'] = True else: if part['fwd'] == False: - start = part['start'] - end = part['end'] - part['end'] = start - part['start'] = end + if('start' in keys): + start = part['start'] + end = part['end'] + part['end'] = start + part['start'] = end if 'start' not in keys: if part['fwd'] == True: part['start'] = part_num From e800399fc3afaf35cd500b9379bb8bedb9ec891c Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 14:40:00 -0700 Subject: [PATCH 04/43] reverse crash fix try 2 --- dnaplotlib/dnaplotlib.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 1698035..10987b6 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2720,12 +2720,13 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p if 'fwd' not in keys: part['fwd'] = True else: - if part['fwd'] == False: - if('start' in keys): - start = part['start'] - end = part['end'] - part['end'] = start - part['start'] = end + pass + #if part['fwd'] == False: + #if('start' in keys): + # start = part['start'] + # end = part['end'] + # part['end'] = start + # part['start'] = end if 'start' not in keys: if part['fwd'] == True: part['start'] = part_num From 0ca5ed3117f026524c33aca63f21dba3f582d246 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 15:39:26 -0700 Subject: [PATCH 05/43] recombinase spacing bug on reverse fixed? --- dnaplotlib/dnaplotlib.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 10987b6..cb62a58 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1551,9 +1551,11 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op final_start = prev_end y_lower = -1 * y_extent/2 y_upper = y_extent/2 + + if start > end: start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad + end = prev_end+end_pad+linewidth final_end = start+start_pad color = color2 else: @@ -1623,7 +1625,7 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op y_upper = y_extent/2 if start > end: start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad + end = prev_end+end_pad+linewidth final_end = start+start_pad temp = color color = color2 From d1c521fd8ed8ad334dcfc9e012c7fe508d3760f0 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 16:43:43 -0700 Subject: [PATCH 06/43] rna symbol --- dnaplotlib/dnaplotlib.py | 78 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 78 insertions(+) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index cb62a58..1049cb8 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1581,6 +1581,82 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op else: return prev_end, final_end +def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + # Check direction add start padding + + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad + temp = color + color = color2 + color2 = temp + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + midpoint = (end + start) / 2 + hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) + hypotenuse2 = hypotenuse / 2 + cosineA = (y_extent/2) / hypotenuse + f = hypotenuse2 * cosineA + p2 = Polygon([(midpoint, -1*f), + (midpoint, f), + (end,0)], + edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + ax.add_patch(p2) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ SBOL recombinase site renderer - reverse direction """ @@ -2546,6 +2622,7 @@ class DNARenderer: 'EmptySpace', 'RecombinaseSite', 'RecombinaseSite2', + 'NCRNA', 'Ribozyme', 'Ribonuclease', 'Protease', @@ -2614,6 +2691,7 @@ def SBOL_part_renderers (self): 'Spacer' :sbol_spacer, 'EmptySpace' :sbol_empty_space, 'Ribozyme' :sbol_ribozyme, + 'NCRNA' :sbol_ncrna, 'Ribonuclease' :sbol_stem_top, 'RecombinaseSite' :sbol_recombinase1, 'RecombinaseSite2' :sbol_recombinase2, From dcaa3b2ceca3485904a4c33d8469ce801992ad90 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 16:43:43 -0700 Subject: [PATCH 07/43] rna symbol --- dnaplotlib/dnaplotlib.py | 78 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 78 insertions(+) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index cb62a58..1049cb8 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1581,6 +1581,82 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op else: return prev_end, final_end +def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + # Check direction add start padding + + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad + temp = color + color = color2 + color2 = temp + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + midpoint = (end + start) / 2 + hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) + hypotenuse2 = hypotenuse / 2 + cosineA = (y_extent/2) / hypotenuse + f = hypotenuse2 * cosineA + p2 = Polygon([(midpoint, -1*f), + (midpoint, f), + (end,0)], + edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + ax.add_patch(p2) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ SBOL recombinase site renderer - reverse direction """ @@ -2546,6 +2622,7 @@ class DNARenderer: 'EmptySpace', 'RecombinaseSite', 'RecombinaseSite2', + 'NCRNA', 'Ribozyme', 'Ribonuclease', 'Protease', @@ -2614,6 +2691,7 @@ def SBOL_part_renderers (self): 'Spacer' :sbol_spacer, 'EmptySpace' :sbol_empty_space, 'Ribozyme' :sbol_ribozyme, + 'NCRNA' :sbol_ncrna, 'Ribonuclease' :sbol_stem_top, 'RecombinaseSite' :sbol_recombinase1, 'RecombinaseSite2' :sbol_recombinase2, From bd18e7d2cbc850ce3a00c21b45671f21e98dddb6 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 16:57:06 -0700 Subject: [PATCH 08/43] more rna symbol --- dnaplotlib/dnaplotlib.py | 54 +++++++++++++++++++++++++++------------- 1 file changed, 37 insertions(+), 17 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 1049cb8..09d702b 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1615,6 +1615,7 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): final_start = prev_end y_lower = -1 * y_extent/2 y_upper = y_extent/2 + wavemult = 1 if start > end: start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth @@ -1622,28 +1623,47 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): temp = color color = color2 color2 = temp + wavemult = -1 else: start = prev_end+start_pad+linewidth end = start+x_extent final_end = end+end_pad - # Draw the site - p1 = Polygon([(start, y_lower), - (start, y_upper), - (end,0)], - edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, - path_effects=[Stroke(joinstyle="miter")]) midpoint = (end + start) / 2 - hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) - hypotenuse2 = hypotenuse / 2 - cosineA = (y_extent/2) / hypotenuse - f = hypotenuse2 * cosineA - p2 = Polygon([(midpoint, -1*f), - (midpoint, f), - (end,0)], - edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, - path_effects=[Stroke(joinstyle="miter")]) - ax.add_patch(p1) - ax.add_patch(p2) + + + wave_height = wavemult*y_extent + #wave_height = -y_extent + wave_start = start + + wave_length = end-start + wave_bezier_amp = y_extent*0.2 + wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wavemult*wave_bezier_amp*math.sin(math.pi/4) + wavy_rna_path = Path(vertices=[[wave_start,0], + [wave_start, wave_height], + [wave_start + wave_bezier_dx, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*2, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*3, wave_height], + [wave_start + wave_bezier_dx*4, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*5, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*6, wave_height], + [wave_start + wave_bezier_dx*7, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*8, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*9, wave_height], + [wave_start + wave_bezier_dx*10, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*11, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*12, wave_height], + [wave_start + wave_bezier_dx*13, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*14, wave_height+wave_bezier_dy], + [wave_end,wave_height], + [wave_end,0], + [wave_end,0] + ], + codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) + wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=(0,0,0), + facecolor=color, zorder=12, linestyle='-') + + ax.add_patch(wavy_rna) # Add a label if needed if opts != None and 'label' in list(opts.keys()): if final_start > final_end: From 6c59d1630c438c2e077c5a6f41824349a73fd565 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 16:59:27 -0700 Subject: [PATCH 09/43] bugfix --- dnaplotlib/dnaplotlib.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 09d702b..1f49c76 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1620,9 +1620,6 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth final_end = start+start_pad - temp = color - color = color2 - color2 = temp wavemult = -1 else: start = prev_end+start_pad+linewidth From e2eed118bf2acdbf49f589e642a36ad28ed1f3d4 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 17:01:28 -0700 Subject: [PATCH 10/43] bugfix --- dnaplotlib/dnaplotlib.py | 5942 +++++++++++++++++++------------------- 1 file changed, 2971 insertions(+), 2971 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 1f49c76..d1a707e 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2,46 +2,46 @@ """ DNAplotlib ========== - This module is designed to allow for highly customisable visualisation of DNA - fragments. Diagrams can be in the form of conceptual SBOL compliant icons or - make use of icons whose width is scaled to allow for easier comparison of part - locations to trace information, such as for corresponding RNA-seq read depth - data. All plotting is performed using matplotlib and to an axis object. This - enables the export of publication quality, vector-based figures. Furthermore, - all standard renderers can be replaced with user defined versions to allow - for full customisation of the plot. - - To make use of this module it is necessary to create the rendering object - after importing the module: - - > import dnaplotlib as dpl - > dr = dpl.DNARenderer() - - This object performs all rendering using the renderDNA() method. To describe - what should be plotted, dnaplotlib requires the DNA design in a specific - format. For standard SBOL diagrams a design is a list of dictionaries where - each dictionary relates to a specific part and as a minimum contains the - keys: - - - name: A name that can be potentially used in regulation. - - type: The type of part (decides which renderer to use). - - fwd: Boolean defining if the part is in a forward orientation. - - start: Start position (optional) - - end: End position (optional) - - Once this list is defined and an axis object is created the design can be - draw using standard renders and to a user created matplotlib axes by running: - - > reg_renderers = dr.std_reg_renderers() - > part_renderers = dr.SBOL_part_renderers() - > regs = None - > design = ... Design is created here ... - > ax = ... matplotlib axes created here ... - > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) - - The function returns the start and end point of the design which can then - be used for resizing the axes and figure. For more advanced use cases we - advise looking at the gallery distributed with this module. + This module is designed to allow for highly customisable visualisation of DNA + fragments. Diagrams can be in the form of conceptual SBOL compliant icons or + make use of icons whose width is scaled to allow for easier comparison of part + locations to trace information, such as for corresponding RNA-seq read depth + data. All plotting is performed using matplotlib and to an axis object. This + enables the export of publication quality, vector-based figures. Furthermore, + all standard renderers can be replaced with user defined versions to allow + for full customisation of the plot. + + To make use of this module it is necessary to create the rendering object + after importing the module: + + > import dnaplotlib as dpl + > dr = dpl.DNARenderer() + + This object performs all rendering using the renderDNA() method. To describe + what should be plotted, dnaplotlib requires the DNA design in a specific + format. For standard SBOL diagrams a design is a list of dictionaries where + each dictionary relates to a specific part and as a minimum contains the + keys: + + - name: A name that can be potentially used in regulation. + - type: The type of part (decides which renderer to use). + - fwd: Boolean defining if the part is in a forward orientation. + - start: Start position (optional) + - end: End position (optional) + + Once this list is defined and an axis object is created the design can be + draw using standard renders and to a user created matplotlib axes by running: + + > reg_renderers = dr.std_reg_renderers() + > part_renderers = dr.SBOL_part_renderers() + > regs = None + > design = ... Design is created here ... + > ax = ... matplotlib axes created here ... + > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) + + The function returns the start and end point of the design which can then + be used for resizing the axes and figure. For more advanced use cases we + advise looking at the gallery distributed with this module. """ @@ -60,8 +60,8 @@ __author__ = 'Thomas E. Gorochowski \n\ - Bryan Der \n\ - Emerson Glassey ' + Bryan Der \n\ + Emerson Glassey ' __license__ = 'MIT' __version__ = '1.0' @@ -72,1451 +72,1610 @@ def write_label (ax, label_text, x_pos, opts=None): - """ Renders labels on parts. - """ - zorder_add = 0.0 - y_offset = 0.0 - label_style = 'normal' - label_size = 7 - label_y_offset = 0 - label_x_offset = 0 - label_color = (0,0,0) - label_rotation = 0 - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'label_style' in list(opts.keys()): - label_style = opts['label_style'] - if 'label_size' in list(opts.keys()): - label_size = opts['label_size'] - if 'label_y_offset' in list(opts.keys()): - label_y_offset = opts['label_y_offset'] - if 'label_x_offset' in list(opts.keys()): - label_x_offset = opts['label_x_offset'] - if 'label_color' in list(opts.keys()): - label_color = opts['label_color'] - if 'label_rotation' in list(opts.keys()): - label_rotation = opts['label_rotation'] - ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', - verticalalignment='center', fontsize=label_size, fontstyle=label_style, - color=label_color, rotation=label_rotation, zorder=30+zorder_add) + """ Renders labels on parts. + """ + zorder_add = 0.0 + y_offset = 0.0 + label_style = 'normal' + label_size = 7 + label_y_offset = 0 + label_x_offset = 0 + label_color = (0,0,0) + label_rotation = 0 + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'label_style' in list(opts.keys()): + label_style = opts['label_style'] + if 'label_size' in list(opts.keys()): + label_size = opts['label_size'] + if 'label_y_offset' in list(opts.keys()): + label_y_offset = opts['label_y_offset'] + if 'label_x_offset' in list(opts.keys()): + label_x_offset = opts['label_x_offset'] + if 'label_color' in list(opts.keys()): + label_color = opts['label_color'] + if 'label_rotation' in list(opts.keys()): + label_rotation = opts['label_rotation'] + ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', + verticalalignment='center', fontsize=label_size, fontstyle=label_style, + color=label_color, rotation=label_rotation, zorder=30+zorder_add) def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL promoter renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,0.0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10 - x_extent = 10 - arrowhead_height = 2 - arrowhead_length = 4 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the promoter symbol - l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, - color=color, zorder=9+zorder_add) - l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], - [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, - color=color, zorder=10+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent+(arrowhead_height)), - (start+dir_fac*x_extent, dir_fac*y_extent), - (start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent-(arrowhead_height))], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL promoter renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,0.0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10 + x_extent = 10 + arrowhead_height = 2 + arrowhead_length = 4 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the promoter symbol + l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, + color=color, zorder=9+zorder_add) + l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], + [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, + color=color, zorder=10+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, + dir_fac*y_extent+(arrowhead_height)), + (start+dir_fac*x_extent, dir_fac*y_extent), + (start+dir_fac*x_extent-dir_fac*arrowhead_length, + dir_fac*y_extent-(arrowhead_height))], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_cds (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL coding sequence renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - start_pad = 1.0 - end_pad = 1.0 - y_extent = 5 - x_extent = 30 - arrowhead_height = 4 - arrowhead_length = 8 - edgecolor = (0,0,0) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'edge_color' in list(opts.keys()): - edgecolor = opts['edge_color'] - - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the CDS symbol - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end-dir_fac*arrowhead_length, -y_extent), - (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), - (end, 0), - (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), - (end-dir_fac*arrowhead_length, y_extent)], - edgecolor=edgecolor, facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL coding sequence renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + start_pad = 1.0 + end_pad = 1.0 + y_extent = 5 + x_extent = 30 + arrowhead_height = 4 + arrowhead_length = 8 + edgecolor = (0,0,0) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'edge_color' in list(opts.keys()): + edgecolor = opts['edge_color'] + + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the CDS symbol + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end-dir_fac*arrowhead_length, -y_extent), + (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), + (end, 0), + (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), + (end-dir_fac*arrowhead_length, y_extent)], + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_terminator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL terminator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10.0 - x_extent = 8.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the terminator symbol - l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, - color=color, zorder=8+zorder_add) - l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], - linewidth=linewidth, color=color, zorder=9+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10.0 + x_extent = 8.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the terminator symbol + l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, + color=color, zorder=8+zorder_add) + l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], + linewidth=linewidth, color=color, zorder=9+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL ribosome binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 10.0 - edgecolor = (0,0,0) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'edge_color' in list(opts.keys()): - edgecolor = opts['edge_color'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - rbs_center = (0,0) - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - rbs_center = (end+((start-end)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, - facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) - ax.add_patch(w1) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, - facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) - ax.add_patch(w1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL ribosome binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + edgecolor = (0,0,0) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'edge_color' in list(opts.keys()): + edgecolor = opts['edge_color'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + rbs_center = (0,0) + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + rbs_center = (end+((start-end)/2.0),0) + w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, + facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) + ax.add_patch(w1) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),0) + w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, + facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) + ax.add_patch(w1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_ribozyme (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL ribozyme renderer. - """ - return stick_figure(ax,type,num,start,end,prev_end,scale,linewidth,opts) + """ Built-in SBOL ribozyme renderer. + """ + return stick_figure(ax,type,num,start,end,prev_end,scale,linewidth,opts) def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ General function for drawing stick based parts (e.g., ribozyme and protease sites). - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 5.0 - y_extent = 10.0 - linestyle = '-' - linetype = ""; - shapetype = ""; - if(type == "Ribozyme"): - linetype = 'dash' - headgroup = 'O' - elif(type == "Protease"): - linetype = 'dash' - headgroup = 'X' - elif(type == "ProteinStability"): - linetype = 'solid' - headgroup = 'O' - elif(type == "Ribonuclease"): - linetype = 'solid' - headgroup = 'X' - - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - rbs_center = (end+((start-end)/2.0),-y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - - if(headgroup == "O" and linetype == "dash"): - ax.add_patch(c1) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "X" and linetype == "dash"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "O" and linetype == "solid"): - ax.add_patch(c1) - ax.add_line(solidO) - elif(headgroup == "X" and linetype == "solid"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(solidX) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - - if(headgroup == 'O' and linetype == 'dash'): - ax.add_patch(c1) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "X" and linetype == "dash"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "O" and linetype == "solid"): - ax.add_patch(c1) - ax.add_line(solidO) - elif(headgroup == "X" and linetype == "solid"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(solidX) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ General function for drawing stick based parts (e.g., ribozyme and protease sites). + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 5.0 + y_extent = 10.0 + linestyle = '-' + linetype = ""; + shapetype = ""; + if(type == "Ribozyme"): + linetype = 'dash' + headgroup = 'O' + elif(type == "Protease"): + linetype = 'dash' + headgroup = 'X' + elif(type == "ProteinStability"): + linetype = 'solid' + headgroup = 'O' + elif(type == "Ribonuclease"): + linetype = 'solid' + headgroup = 'X' + + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + rbs_center = (end+((start-end)/2.0),-y_extent) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add) + x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + + if(headgroup == "O" and linetype == "dash"): + ax.add_patch(c1) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "X" and linetype == "dash"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "O" and linetype == "solid"): + ax.add_patch(c1) + ax.add_line(solidO) + elif(headgroup == "X" and linetype == "solid"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(solidX) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),y_extent) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add) + x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + + if(headgroup == 'O' and linetype == 'dash'): + ax.add_patch(c1) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "X" and linetype == "dash"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "O" and linetype == "solid"): + ax.add_patch(c1) + ax.add_line(solidO) + elif(headgroup == "X" and linetype == "solid"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(solidX) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_stem_top (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ General function for drawing stem-top parts (e.g., ribozyme and protease sites). - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 5.0 - y_extent = 10.0 - linestyle = '-' - shapetype = ""; - if type in ["DNACleavageSite"]: - stemtype = 'straight' - toptype = 'X' - elif type in ["RNACleavageSite", "Ribonuclease"]: - stemtype = 'wavy' - toptype = 'X' - elif type in ["ProteinCleavageSite", "Protease"]: - stemtype = 'loopy' - toptype = 'X' - elif type in ["DNALocation"]: - stemtype = 'straight' - toptype = 'O' - elif type in ["RNALocation"]: - stemtype = 'wavy' - toptype = 'O' - elif type in ["ProteinLocation"]: - stemtype = 'loopy' - toptype = 'O' - elif type in ["DNAStability"]: - stemtype = 'straight' - toptype = 'P' - elif type in ["RNAStability"]: - stemtype = 'wavy' - toptype = 'P' - elif type in ["ProteinStability"]: - stemtype = 'loopy' - toptype = 'P' - elif type in ["StemTop"]: - stemtype = opts['stem'] - toptype = opts['top'] - - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - # Patches and lines for top glyph - # toptype=="X" - x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[-y_extent/1.25,-y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - # toptype=="O" - center = (end+((start-end)/2.0),-y_extent) - c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - # toptype=='P' - pentagon_xy = [[end, -y_extent*1.25], - [end, -y_extent*0.87], - [(start + end)/2, -y_extent*0.68], - [start, -y_extent*0.87], - [start, -y_extent*1.25], - ] - p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - - # Lines for stem glyph - # stemtype=='straight' - straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0, -y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='wavy' - wave_height = y_extent/6 - wave_start = (start + end)/2 - wave_bezier_amp = x_extent*0.2 - wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) - wavy_stem_path = Path(vertices=[[wave_start, 0], - [wave_start - wave_bezier_dx, -wave_bezier_dy], - [wave_start - wave_bezier_dx, -(wave_height - wave_bezier_dy)], - [wave_start, -wave_height], - [wave_start + wave_bezier_dx, -(wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(2*wave_height - wave_bezier_dy)], - [wave_start, -2*wave_height], - [wave_start - wave_bezier_dx, -(2*wave_height + wave_bezier_dy)], - [wave_start - wave_bezier_dx, -(3*wave_height - wave_bezier_dy)], - [wave_start, -3*wave_height], - [wave_start + wave_bezier_dx, -(3*wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(4*wave_height - wave_bezier_dy)], - [wave_start, -4*wave_height], - [wave_start - wave_bezier_dx, -(4*wave_height + wave_bezier_dy)], - [wave_start - wave_bezier_dx, -(5*wave_height - wave_bezier_dy)], - [wave_start, -5*wave_height], - [wave_start + wave_bezier_dx, -(5*wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(6*wave_height - wave_bezier_dy)], - [wave_start, -6*wave_height]], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='loopy' - loop_offset_y = y_extent*0.015 - loop_height = (y_extent - 2*loop_offset_y)/4 - loop_start = (start + end)/2 + x_extent*0.05 - loop_end = end + x_extent*0.15 - loop_bezier_amp = y_extent*0.03 - loop_stem_path = Path(vertices=[[loop_start, -loop_offset_y], - [loop_start, -(loop_offset_y - loop_bezier_amp)], - [loop_end, -(loop_offset_y - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*0.5)], - [loop_end, -(loop_offset_y + loop_height + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height)], - [loop_start, -(loop_offset_y + loop_height - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*1.5)], - [loop_end, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*2)], - [loop_start, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*2.5)], - [loop_end, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*3)], - [loop_start, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*3.5)], - [loop_end, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*4)], - ], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Patches and lines for top glyph - # toptype=="X" - x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[y_extent/1.25,y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - # toptype=="O" - center = (start+((end-start)/2.0),y_extent) - c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - # toptype=='P' - pentagon_xy = [[start, y_extent*1.25], - [start, y_extent*0.87], - [(start + end)/2, y_extent*0.68], - [end, y_extent*0.87], - [end, y_extent*1.25], - ] - p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - - # Lines for stem glyph - # stemtype=='straight' - straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='wavy' - wave_height = y_extent/6 - wave_start = (start + end)/2 - wave_bezier_amp = x_extent*0.2 - wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) - wavy_stem_path = Path(vertices=[[wave_start, 0], - [wave_start + wave_bezier_dx, wave_bezier_dy], - [wave_start + wave_bezier_dx, wave_height - wave_bezier_dy], - [wave_start, wave_height], - [wave_start - wave_bezier_dx, wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 2*wave_height - wave_bezier_dy], - [wave_start, 2*wave_height], - [wave_start + wave_bezier_dx, 2*wave_height + wave_bezier_dy], - [wave_start + wave_bezier_dx, 3*wave_height - wave_bezier_dy], - [wave_start, 3*wave_height], - [wave_start - wave_bezier_dx, 3*wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 4*wave_height - wave_bezier_dy], - [wave_start, 4*wave_height], - [wave_start + wave_bezier_dx, 4*wave_height + wave_bezier_dy], - [wave_start + wave_bezier_dx, 5*wave_height - wave_bezier_dy], - [wave_start, 5*wave_height], - [wave_start - wave_bezier_dx, 5*wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 6*wave_height - wave_bezier_dy], - [wave_start, 6*wave_height]], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='loopy' - loop_offset_y = y_extent*0.015 - loop_height = (y_extent - 2*loop_offset_y)/4 - loop_start = (start + end)/2 - x_extent*0.05 - loop_end = end - x_extent*0.15 - loop_bezier_amp = y_extent*0.03 - loop_stem_path = Path(vertices=[[loop_start, loop_offset_y], - [loop_start, loop_offset_y - loop_bezier_amp], - [loop_end, loop_offset_y - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*0.5], - [loop_end, loop_offset_y + loop_height + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height], - [loop_start, loop_offset_y + loop_height - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*1.5], - [loop_end, loop_offset_y + loop_height*2 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*2 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*2], - [loop_start, loop_offset_y + loop_height*2 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*2 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*2.5], - [loop_end, loop_offset_y + loop_height*3 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*3 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*3], - [loop_start, loop_offset_y + loop_height*3 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*3 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*3.5], - [loop_end, loop_offset_y + loop_height*4 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*4 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*4], - ], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - - # Add stem patches and/or lines - if stemtype == 'straight': - ax.add_line(straight_stem) - elif stemtype == 'wavy': - ax.add_line(wavy_stem) - elif stemtype == 'loopy': - ax.add_line(loop_stem) - - # Add top patches and/or lines - if toptype == 'O': - ax.add_patch(c1) - elif toptype == 'X': - ax.add_line(x1) - ax.add_line(x2) - elif toptype == 'P': - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ General function for drawing stem-top parts (e.g., ribozyme and protease sites). + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 5.0 + y_extent = 10.0 + linestyle = '-' + shapetype = ""; + if type in ["DNACleavageSite"]: + stemtype = 'straight' + toptype = 'X' + elif type in ["RNACleavageSite", "Ribonuclease"]: + stemtype = 'wavy' + toptype = 'X' + elif type in ["ProteinCleavageSite", "Protease"]: + stemtype = 'loopy' + toptype = 'X' + elif type in ["DNALocation"]: + stemtype = 'straight' + toptype = 'O' + elif type in ["RNALocation"]: + stemtype = 'wavy' + toptype = 'O' + elif type in ["ProteinLocation"]: + stemtype = 'loopy' + toptype = 'O' + elif type in ["DNAStability"]: + stemtype = 'straight' + toptype = 'P' + elif type in ["RNAStability"]: + stemtype = 'wavy' + toptype = 'P' + elif type in ["ProteinStability"]: + stemtype = 'loopy' + toptype = 'P' + elif type in ["StemTop"]: + stemtype = opts['stem'] + toptype = opts['top'] + + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end -def sbol_scar (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL scar renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + # Patches and lines for top glyph + # toptype=="X" + x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[-y_extent/1.25,-y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + # toptype=="O" + center = (end+((start-end)/2.0),-y_extent) + c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + # toptype=='P' + pentagon_xy = [[end, -y_extent*1.25], + [end, -y_extent*0.87], + [(start + end)/2, -y_extent*0.68], + [start, -y_extent*0.87], + [start, -y_extent*1.25], + ] + p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + + # Lines for stem glyph + # stemtype=='straight' + straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0, -y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='wavy' + wave_height = y_extent/6 + wave_start = (start + end)/2 + wave_bezier_amp = x_extent*0.2 + wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) + wavy_stem_path = Path(vertices=[[wave_start, 0], + [wave_start - wave_bezier_dx, -wave_bezier_dy], + [wave_start - wave_bezier_dx, -(wave_height - wave_bezier_dy)], + [wave_start, -wave_height], + [wave_start + wave_bezier_dx, -(wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(2*wave_height - wave_bezier_dy)], + [wave_start, -2*wave_height], + [wave_start - wave_bezier_dx, -(2*wave_height + wave_bezier_dy)], + [wave_start - wave_bezier_dx, -(3*wave_height - wave_bezier_dy)], + [wave_start, -3*wave_height], + [wave_start + wave_bezier_dx, -(3*wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(4*wave_height - wave_bezier_dy)], + [wave_start, -4*wave_height], + [wave_start - wave_bezier_dx, -(4*wave_height + wave_bezier_dy)], + [wave_start - wave_bezier_dx, -(5*wave_height - wave_bezier_dy)], + [wave_start, -5*wave_height], + [wave_start + wave_bezier_dx, -(5*wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(6*wave_height - wave_bezier_dy)], + [wave_start, -6*wave_height]], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='loopy' + loop_offset_y = y_extent*0.015 + loop_height = (y_extent - 2*loop_offset_y)/4 + loop_start = (start + end)/2 + x_extent*0.05 + loop_end = end + x_extent*0.15 + loop_bezier_amp = y_extent*0.03 + loop_stem_path = Path(vertices=[[loop_start, -loop_offset_y], + [loop_start, -(loop_offset_y - loop_bezier_amp)], + [loop_end, -(loop_offset_y - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*0.5)], + [loop_end, -(loop_offset_y + loop_height + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height)], + [loop_start, -(loop_offset_y + loop_height - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*1.5)], + [loop_end, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*2)], + [loop_start, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*2.5)], + [loop_end, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*3)], + [loop_start, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*3.5)], + [loop_end, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*4)], + ], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Patches and lines for top glyph + # toptype=="X" + x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[y_extent/1.25,y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + # toptype=="O" + center = (start+((end-start)/2.0),y_extent) + c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + # toptype=='P' + pentagon_xy = [[start, y_extent*1.25], + [start, y_extent*0.87], + [(start + end)/2, y_extent*0.68], + [end, y_extent*0.87], + [end, y_extent*1.25], + ] + p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + + # Lines for stem glyph + # stemtype=='straight' + straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='wavy' + wave_height = y_extent/6 + wave_start = (start + end)/2 + wave_bezier_amp = x_extent*0.2 + wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) + wavy_stem_path = Path(vertices=[[wave_start, 0], + [wave_start + wave_bezier_dx, wave_bezier_dy], + [wave_start + wave_bezier_dx, wave_height - wave_bezier_dy], + [wave_start, wave_height], + [wave_start - wave_bezier_dx, wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 2*wave_height - wave_bezier_dy], + [wave_start, 2*wave_height], + [wave_start + wave_bezier_dx, 2*wave_height + wave_bezier_dy], + [wave_start + wave_bezier_dx, 3*wave_height - wave_bezier_dy], + [wave_start, 3*wave_height], + [wave_start - wave_bezier_dx, 3*wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 4*wave_height - wave_bezier_dy], + [wave_start, 4*wave_height], + [wave_start + wave_bezier_dx, 4*wave_height + wave_bezier_dy], + [wave_start + wave_bezier_dx, 5*wave_height - wave_bezier_dy], + [wave_start, 5*wave_height], + [wave_start - wave_bezier_dx, 5*wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 6*wave_height - wave_bezier_dy], + [wave_start, 6*wave_height]], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='loopy' + loop_offset_y = y_extent*0.015 + loop_height = (y_extent - 2*loop_offset_y)/4 + loop_start = (start + end)/2 - x_extent*0.05 + loop_end = end - x_extent*0.15 + loop_bezier_amp = y_extent*0.03 + loop_stem_path = Path(vertices=[[loop_start, loop_offset_y], + [loop_start, loop_offset_y - loop_bezier_amp], + [loop_end, loop_offset_y - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*0.5], + [loop_end, loop_offset_y + loop_height + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height], + [loop_start, loop_offset_y + loop_height - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*1.5], + [loop_end, loop_offset_y + loop_height*2 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*2 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*2], + [loop_start, loop_offset_y + loop_height*2 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*2 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*2.5], + [loop_end, loop_offset_y + loop_height*3 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*3 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*3], + [loop_start, loop_offset_y + loop_height*3 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*3 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*3.5], + [loop_end, loop_offset_y + loop_height*4 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*4 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*4], + ], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + + # Add stem patches and/or lines + if stemtype == 'straight': + ax.add_line(straight_stem) + elif stemtype == 'wavy': + ax.add_line(wavy_stem) + elif stemtype == 'loopy': + ax.add_line(loop_stem) + + # Add top patches and/or lines + if toptype == 'O': + ax.add_patch(c1) + elif toptype == 'X': + ax.add_line(x1) + ax.add_line(x2) + elif toptype == 'P': + ax.add_patch(p1) -def sbol_empty_space (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in empty space renderer. - """ - # Default options - zorder_add = 0.0 - x_extent = 12.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - # Check direction add start padding - final_start = prev_end - final_end = final_start+x_extent - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end -def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 5' overhang renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 0.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end +def sbol_scar (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL scar renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) -def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 3' overhang renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 0.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end -def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL blunt-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 1.5 - site_space = 1.5 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'site_space' in list(opts.keys()): - site_space = opts['site_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent+site_space+x_extent - final_end = end+end_pad - - l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - - l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - ax.add_line(l2) - ax.add_line(l2_top) - ax.add_line(l2_bottom) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end +def sbol_empty_space (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in empty space renderer. + """ + # Default options + zorder_add = 0.0 + x_extent = 12.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + # Check direction add start padding + final_start = prev_end + final_end = final_start+x_extent + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL 5' overhang renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 0.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL 3' overhang renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL blunt-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 1.5 + site_space = 1.5 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'site_space' in list(opts.keys()): + site_space = opts['site_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent+site_space+x_extent + final_end = end+end_pad + + l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + + l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + ax.add_line(l2) + ax.add_line(l2_top) + ax.add_line(l2_bottom) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end + + +def sbol_primer_binding_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL primer binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 2.0 + y_offset = 1.5 + x_extent = 8.0 + arrowhead_length = 2.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + direction = 'F' + if start > end: + direction = 'R' + temp_end = end + end = start + start = temp_end + + final_end = prev_end + final_start = prev_end + + if direction == 'F': + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + else: + final_start = prev_end + end = prev_end+end_pad + start = end+x_extent + final_start = start+start_pad + + if direction == 'F': + verts = [(start, y_offset), (end, y_offset), (end-arrowhead_length, y_offset+y_extent)] + codes = [Path.MOVETO, Path.LINETO, Path.LINETO] + path = Path(verts, codes) + patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) + ax.add_patch(patch) + else: + verts = [(start, -y_offset), (end, -y_offset), (end+arrowhead_length, -y_offset-y_extent)] + codes = [Path.MOVETO, Path.LINETO, Path.LINETO] + path = Path(verts, codes) + patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) + ax.add_patch(patch) + + if opts != None and 'label' in list(opts.keys()): + if start > end: + write_label(ax, opts['label'], end+((start-end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start+((end-start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL 5' sticky-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 8.0 + end_space = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'end_space' in list(opts.keys()): + end_space = opts['end_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+end_space+x_extent+end_space + final_end = end+end_pad + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + + # White rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end, -y_extent), + (end, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end + + +def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL 3' sticky-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 8.0 + end_space = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'end_space' in list(opts.keys()): + end_space = opts['end_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+end_space+x_extent+end_space + final_end = end+end_pad + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + + # White rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end, -y_extent), + (end, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end + + +def sbol_user_defined (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL user-defined element renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 12.0 + y_extent = 3.0 + linestyle = '-' + fill_color = (1,1,1) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'fill_color' in list(opts.keys()): + fill_color = opts['fill_color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL signature renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 12.0 + y_extent = 3.0 + linestyle = '-' + fill_color = (1,1,1) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'fill_color' in list(opts.keys()): + fill_color = opts['fill_color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + direction = 'F' + if start > end: + direction = 'R' + temp_end = end + end = start + start = temp_end + + final_end = prev_end + final_start = prev_end + + if direction == 'F': + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + else: + final_start = prev_end + end = prev_end+end_pad + start = end+x_extent + final_start = start+start_pad + + indent_fac = (y_extent*2.0)*0.3 + cross_width = (y_extent*2.0)*0.7 + + if direction == 'F': + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + top1x = start + indent_fac + top1y = y_extent - indent_fac + top2x = start + cross_width + top2y = y_extent - indent_fac + bot1x = start + indent_fac + bot1y = -y_extent + indent_fac + bot2x = start + cross_width + bot2y = -y_extent + indent_fac + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lcross1) + ax.add_line(lcross2) + lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lsign) + else: + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start-x_extent, -y_extent), + (start-x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + top1x = start - indent_fac + top1y = y_extent - indent_fac + top2x = start - cross_width + top2y = y_extent - indent_fac + bot1x = start - indent_fac + bot1y = -y_extent + indent_fac + bot2x = start - cross_width + bot2y = -y_extent + indent_fac + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lcross1) + ax.add_line(lcross2) + lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lsign) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end +def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - forward direction + """ + # Default parameters + color = (0,0,0) + color2 = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'color2' in list(opts.keys()): + color2 = opts['color2'] + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 -def sbol_primer_binding_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL primer binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 2.0 - y_offset = 1.5 - x_extent = 8.0 - arrowhead_length = 2.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - direction = 'F' - if start > end: - direction = 'R' - temp_end = end - end = start - start = temp_end - - final_end = prev_end - final_start = prev_end - - if direction == 'F': - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - else: - final_start = prev_end - end = prev_end+end_pad - start = end+x_extent - final_start = start+start_pad - - if direction == 'F': - verts = [(start, y_offset), (end, y_offset), (end-arrowhead_length, y_offset+y_extent)] - codes = [Path.MOVETO, Path.LINETO, Path.LINETO] - path = Path(verts, codes) - patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) - ax.add_patch(patch) - else: - verts = [(start, -y_offset), (end, -y_offset), (end+arrowhead_length, -y_offset-y_extent)] - codes = [Path.MOVETO, Path.LINETO, Path.LINETO] - path = Path(verts, codes) - patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) - ax.add_patch(patch) - - if opts != None and 'label' in list(opts.keys()): - if start > end: - write_label(ax, opts['label'], end+((start-end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start+((end-start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad + color = color2 + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end -def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 5' sticky-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 8.0 - end_space = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'end_space' in list(opts.keys()): - end_space = opts['end_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+end_space+x_extent+end_space - final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - - # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end, -y_extent), - (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end +def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + wavemult = 1 + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad + wavemult = -1 + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad + midpoint = (end + start) / 2 -def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 3' sticky-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 8.0 - end_space = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'end_space' in list(opts.keys()): - end_space = opts['end_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+end_space+x_extent+end_space - final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - - # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end, -y_extent), - (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end + wave_height = wavemult*y_extent + #wave_height = -y_extent + wave_start = start + + wave_length = end-start + wave_bezier_amp = y_extent*0.2 + wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wavemult*wave_bezier_amp*math.sin(math.pi/4) + wavy_rna_path = Path(vertices=[[wave_start,0], + [wave_start, wave_height], + [wave_start + wave_bezier_dx, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*2, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*3, wave_height], + [wave_start + wave_bezier_dx*4, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*5, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*6, wave_height], + [wave_start + wave_bezier_dx*7, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*8, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*9, wave_height], + [wave_start + wave_bezier_dx*10, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*11, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*12, wave_height], + [wave_start + wave_bezier_dx*13, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*14, wave_height+wave_bezier_dy], + [wave_end,wave_height], + [wave_end,0], + [wave_end,0] + ], + codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) + wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=(0,0,0), + facecolor=color, zorder=12, linestyle='-') -def sbol_user_defined (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL user-defined element renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 12.0 - y_extent = 3.0 - linestyle = '-' - fill_color = (1,1,1) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'fill_color' in list(opts.keys()): - fill_color = opts['fill_color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + ax.add_patch(wavy_rna) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end -def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL signature renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 12.0 - y_extent = 3.0 - linestyle = '-' - fill_color = (1,1,1) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'fill_color' in list(opts.keys()): - fill_color = opts['fill_color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - direction = 'F' - if start > end: - direction = 'R' - temp_end = end - end = start - start = temp_end - - final_end = prev_end - final_start = prev_end - - if direction == 'F': - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - else: - final_start = prev_end - end = prev_end+end_pad - start = end+x_extent - final_start = start+start_pad - - indent_fac = (y_extent*2.0)*0.3 - cross_width = (y_extent*2.0)*0.7 - - if direction == 'F': - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - top1x = start + indent_fac - top1y = y_extent - indent_fac - top2x = start + cross_width - top2y = y_extent - indent_fac - bot1x = start + indent_fac - bot1y = -y_extent + indent_fac - bot2x = start + cross_width - bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lcross1) - ax.add_line(lcross2) - lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lsign) - else: - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start-x_extent, -y_extent), - (start-x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - top1x = start - indent_fac - top1y = y_extent - indent_fac - top2x = start - cross_width - top2y = y_extent - indent_fac - bot1x = start - indent_fac - bot1y = -y_extent + indent_fac - bot2x = start - cross_width - bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lcross1) - ax.add_line(lcross2) - lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lsign) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end -def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - forward direction +def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ SBOL recombinase site renderer - reverse direction """ # Default parameters color = (0,0,0) @@ -1546,53 +1705,255 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op color = opts['color'] if 'color2' in list(opts.keys()): color2 = opts['color2'] + else: + if 'color' in list(opts.keys()): + r2 = float(color[0]) / 2 + g2 = float(color[1]) / 2 + b2 = float(color[2]) / 2 + color2 = (r2,g2,b2) # Check direction add start padding final_end = end final_start = prev_end y_lower = -1 * y_extent/2 y_upper = y_extent/2 - - if start > end: start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth final_end = start+start_pad + temp = color color = color2 + color2 = temp else: start = prev_end+start_pad+linewidth end = start+x_extent final_end = end+end_pad # Draw the site p1 = Polygon([(start, y_lower), - (start, y_upper), - (end,0)], - edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, - path_effects=[Stroke(joinstyle="miter")]) + (start, y_upper), + (end,0)], + edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + midpoint = (end + start) / 2 + hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) + hypotenuse2 = hypotenuse / 2 + cosineA = (y_extent/2) / hypotenuse + f = hypotenuse2 * cosineA + p2 = Polygon([(midpoint, -1*f), + (midpoint, f), + (end,0)], + edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, + path_effects=[Stroke(joinstyle="miter")]) ax.add_patch(p1) + ax.add_patch(p2) # Add a label if needed if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start + linewidth + final_end = end+end_pad + + l1 = Line2D([start,start],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL spacer renderer. + """ + # Default options + zorder_add = 0.0 + color = (1,1,1) + edgecolor = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),0) + center_x = start+(end-start)/2.0 + radius = x_extent/2 + + delta = radius - 0.5 * radius * math.sqrt(2) + + l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], + linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) + l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], + linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, + facecolor=color, zorder=12+zorder_add) + + ax.add_patch(c1) + ax.add_line(l1) + ax.add_line(l2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + + +def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL origin renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + y_extent = 10.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + ori_center = (start+((end-start)/2.0),0) + + c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + + ax.add_patch(c1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: return prev_end, final_start else: return prev_end, final_end -def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - reverse direction + +def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL operator renderer. """ - # Default parameters + # Default options + zorder_add = 0.0 color = (0,0,0) - start_pad = 0.0 - end_pad = 0.0 + start_pad = 2.0 + end_pad = 2.0 x_extent = 6.0 - y_extent = 6.0 + y_extent = 3.0 linestyle = '-' - # Update default parameters if provided + # Reset defaults if provided if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): @@ -1607,86 +1968,53 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - if 'color' in list(opts.keys()): - color = opts['color'] # Check direction add start padding - final_end = end final_start = prev_end - y_lower = -1 * y_extent/2 - y_upper = y_extent/2 - wavemult = 1 - if start > end: - start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad+linewidth - final_end = start+start_pad - wavemult = -1 - else: - start = prev_end+start_pad+linewidth - end = start+x_extent - final_end = end+end_pad - midpoint = (end + start) / 2 + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad - wave_height = wavemult*y_extent - #wave_height = -y_extent - wave_start = start - - wave_length = end-start - wave_bezier_amp = y_extent*0.2 - wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wavemult*wave_bezier_amp*math.sin(math.pi/4) - wavy_rna_path = Path(vertices=[[wave_start,0], - [wave_start, wave_height], - [wave_start + wave_bezier_dx, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*2, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*3, wave_height], - [wave_start + wave_bezier_dx*4, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*5, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*6, wave_height], - [wave_start + wave_bezier_dx*7, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*8, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*9, wave_height], - [wave_start + wave_bezier_dx*10, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*11, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*12, wave_height], - [wave_start + wave_bezier_dx*13, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*14, wave_height+wave_bezier_dy], - [wave_end,wave_height], - [wave_end,0], - [wave_end,0] - ], - codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) - wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=(0,0,0), - facecolor=color, zorder=12, linestyle='-') + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) - ax.add_patch(wavy_rna) - # Add a label if needed if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer + if final_start > final_end: return prev_end, final_start else: return prev_end, final_end -def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - reverse direction +def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL insulator renderer. """ - # Default parameters + # Default options + zorder_add = 0.0 color = (0,0,0) - color2 = (0,0,0) - start_pad = 0.0 - end_pad = 0.0 - x_extent = 6.0 - y_extent = 6.0 + start_pad = 2.0 + end_pad = 2.0 + x_extent = 8.0 + y_extent = 4.0 linestyle = '-' - # Update default parameters if provided + # Reset defaults if provided if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] if 'start_pad' in list(opts.keys()): start_pad = opts['start_pad'] if 'end_pad' in list(opts.keys()): @@ -1701,440 +2029,112 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'color2' in list(opts.keys()): - color2 = opts['color2'] - else: - if 'color' in list(opts.keys()): - r2 = float(color[0]) / 2 - g2 = float(color[1]) / 2 - b2 = float(color[2]) / 2 - color2 = (r2,g2,b2) + # Check direction add start padding final_end = end final_start = prev_end - y_lower = -1 * y_extent/2 - y_upper = y_extent/2 - if start > end: - start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad+linewidth - final_end = start+start_pad - temp = color - color = color2 - color2 = temp - else: - start = prev_end+start_pad+linewidth - end = start+x_extent - final_end = end+end_pad - # Draw the site - p1 = Polygon([(start, y_lower), - (start, y_upper), - (end,0)], - edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, - path_effects=[Stroke(joinstyle="miter")]) - midpoint = (end + start) / 2 - hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) - hypotenuse2 = hypotenuse / 2 - cosineA = (y_extent/2) / hypotenuse - f = hypotenuse2 * cosineA - p2 = Polygon([(midpoint, -1*f), - (midpoint, f), - (end,0)], - edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, - path_effects=[Stroke(joinstyle="miter")]) + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + bits = 5.0 + gap_size = ((end-start)/bits) + x_inset_start = start + gap_size + x_inset_end = start + ((bits-1.0)*gap_size) + + # Inside rectangle + p2 = Polygon([(x_inset_start, y_extent-gap_size), + (x_inset_start, -y_extent+gap_size), + (x_inset_end, -y_extent+gap_size), + (x_inset_end, y_extent-gap_size)], + edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) ax.add_patch(p2) - # Add a label if needed + if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) else: write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer + if final_start > final_end: return prev_end, final_start else: return prev_end, final_end -def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start + linewidth - final_end = end+end_pad - - l1 = Line2D([start,start],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end - - -def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL spacer renderer. - """ - # Default options - zorder_add = 0.0 - color = (1,1,1) - edgecolor = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 6.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),0) - center_x = start+(end-start)/2.0 - radius = x_extent/2 - - delta = radius - 0.5 * radius * math.sqrt(2) - - l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], - linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], - linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, - facecolor=color, zorder=12+zorder_add) - - ax.add_patch(c1) - ax.add_line(l1) - ax.add_line(l2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end - - -def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL origin renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 10.0 - y_extent = 10.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - ori_center = (start+((end-start)/2.0),0) - - c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - - ax.add_patch(c1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end - - -def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL operator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 3.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end +# Not used at present +def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, opts): + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10 + x_extent = 10 + arrowhead_height = 2 + arrowhead_length = 4 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + e1center = (start+((end-start)/2.0),0) + e2center = (start+((end-start)/2.0)+x_extent/3.75,0) -def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL insulator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 8.0 - y_extent = 4.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - bits = 5.0 - gap_size = ((end-start)/bits) - x_inset_start = start + gap_size - x_inset_end = start + ((bits-1.0)*gap_size) - - # Inside rectangle - p2 = Polygon([(x_inset_start, y_extent-gap_size), - (x_inset_start, -y_extent+gap_size), - (x_inset_end, -y_extent+gap_size), - (x_inset_end, y_extent-gap_size)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_patch(p2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + linewidth=linewidth, fill=True, zorder=12+zorder_add) + e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + linewidth=linewidth, fill=True, zorder=11+zorder_add) + ax.add_patch(e1) + ax.add_patch(e2) -# Not used at present -def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, opts): - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10 - x_extent = 10 - arrowhead_height = 2 - arrowhead_length = 4 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - e1center = (start+((end-start)/2.0),0) - e2center = (start+((end-start)/2.0)+x_extent/3.75,0) - - e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, - linewidth=linewidth, fill=True, zorder=12+zorder_add) - e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, - linewidth=linewidth, fill=True, zorder=11+zorder_add) - - ax.add_patch(e1) - ax.add_patch(e2) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end ############################################################################### @@ -2143,115 +2143,115 @@ def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, def repress (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard repression regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard repression regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def induce (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard induction regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard induction regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def connect (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard induction regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard induction regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ General function for drawing regulation arcs. - """ - - color = (0.0,0.0,0.0) - arrowhead_length = 3 - linestyle = '-' - arcHeightConst = 15 - arcHeightSpacing = 5 - arcHeightStart = 10 - arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing - arcHeightEnd = arcHeightStart*1.5 - arc_start_x_offset = 0.0 - arc_end_x_offset = 0.0 - - # Reset defaults if provided - if opts != None: - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'arc_height' in list(opts.keys()): - arcHeight = opts['arc_height'] - if 'arc_height_const' in list(opts.keys()): - arcHeightConst = opts['arc_height_const'] - if 'arc_height_spacing' in list(opts.keys()): - arcHeightSpacing = opts['arc_height_spacing'] - if 'arc_height_start' in list(opts.keys()): - arcHeightStart = opts['arc_height_start'] - if 'arc_height_end' in list(opts.keys()): - arcHeightEnd = opts['arc_height_end'] - if 'arc_start_x_offset' in list(opts.keys()): - arc_start_x_offset = opts['arc_start_x_offset'] - if 'arc_end_x_offset' in list(opts.keys()): - arc_end_x_offset = opts['arc_end_x_offset'] - - if opts == None or 'arc_height' not in list(opts.keys()): - arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing - startHeight = arcHeightStart - - start = ((from_part['start'] + from_part['end']) / 2) + arc_start_x_offset - end = ((to_part['start'] + to_part['end']) / 2) + arc_end_x_offset - - top = arcHeight; - base = startHeight; - indHeight = arrowhead_length - corr = linewidth - - if to_part['fwd'] == False: - base = -1*startHeight - arcHeightEnd = -arcHeightEnd - top = -1*arcHeight - indHeight = -1*arrowhead_length - corr *= -1 - - - line_away = Line2D([start,start],[base,top], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_across = Line2D([start,end],[top,top], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_toward = Line2D([end,end],[top,arcHeightEnd+corr], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - - if(type == 'Repression'): - ax.add_line(line_rep) - ax.add_line(line_away) - ax.add_line(line_across) - ax.add_line(line_toward) - - if(type == 'Activation'): - ax.add_line(line_ind1) - ax.add_line(line_ind2) - ax.add_line(line_away) - ax.add_line(line_across) - ax.add_line(line_toward) - - if(type == 'Connection'): - verts = [ (start, base), (start, top), (end, top), (end, base) ] - codes = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4] - path1 = Path(verts, codes) - patch = patches.PathPatch(path1, facecolor='none', lw=linewidth, edgecolor=color) - ax.add_patch(patch) + """ General function for drawing regulation arcs. + """ + + color = (0.0,0.0,0.0) + arrowhead_length = 3 + linestyle = '-' + arcHeightConst = 15 + arcHeightSpacing = 5 + arcHeightStart = 10 + arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing + arcHeightEnd = arcHeightStart*1.5 + arc_start_x_offset = 0.0 + arc_end_x_offset = 0.0 + + # Reset defaults if provided + if opts != None: + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'arc_height' in list(opts.keys()): + arcHeight = opts['arc_height'] + if 'arc_height_const' in list(opts.keys()): + arcHeightConst = opts['arc_height_const'] + if 'arc_height_spacing' in list(opts.keys()): + arcHeightSpacing = opts['arc_height_spacing'] + if 'arc_height_start' in list(opts.keys()): + arcHeightStart = opts['arc_height_start'] + if 'arc_height_end' in list(opts.keys()): + arcHeightEnd = opts['arc_height_end'] + if 'arc_start_x_offset' in list(opts.keys()): + arc_start_x_offset = opts['arc_start_x_offset'] + if 'arc_end_x_offset' in list(opts.keys()): + arc_end_x_offset = opts['arc_end_x_offset'] + + if opts == None or 'arc_height' not in list(opts.keys()): + arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing + startHeight = arcHeightStart + + start = ((from_part['start'] + from_part['end']) / 2) + arc_start_x_offset + end = ((to_part['start'] + to_part['end']) / 2) + arc_end_x_offset + + top = arcHeight; + base = startHeight; + indHeight = arrowhead_length + corr = linewidth + + if to_part['fwd'] == False: + base = -1*startHeight + arcHeightEnd = -arcHeightEnd + top = -1*arcHeight + indHeight = -1*arrowhead_length + corr *= -1 + + + line_away = Line2D([start,start],[base,top], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_across = Line2D([start,end],[top,top], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_toward = Line2D([end,end],[top,arcHeightEnd+corr], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + + if(type == 'Repression'): + ax.add_line(line_rep) + ax.add_line(line_away) + ax.add_line(line_across) + ax.add_line(line_toward) + + if(type == 'Activation'): + ax.add_line(line_ind1) + ax.add_line(line_ind2) + ax.add_line(line_away) + ax.add_line(line_across) + ax.add_line(line_toward) + + if(type == 'Connection'): + verts = [ (start, base), (start, top), (end, top), (end, base) ] + codes = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4] + path1 = Path(verts, codes) + patch = patches.PathPatch(path1, facecolor='none', lw=linewidth, edgecolor=color) + ax.add_patch(patch) ############################################################################### @@ -2260,365 +2260,365 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ def trace_promoter_start (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based promoter renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,1.0) - y_offset = 0.0 - y_extent = 6.0 - x_extent = 30.0 - arrowhead_height = 0.5 - arrowhead_length = 15.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - y_offset = -y_offset - # Draw the promoter symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), - (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based promoter renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,1.0) + y_offset = 0.0 + y_extent = 6.0 + x_extent = 30.0 + arrowhead_height = 0.5 + arrowhead_length = 15.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + y_offset = -y_offset + # Draw the promoter symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), + (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), + (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent-(arrowhead_height)+y_offset)], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_promoter (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based promoter renderer with arrow at TSS. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,1.0) - y_offset = 0.0 - y_extent = 6.0 - x_extent = 30.0 - arrowhead_height = 0.5 - arrowhead_length = 15.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - y_offset = -y_offset - # Draw the promoter symbol - l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), - (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based promoter renderer with arrow at TSS. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,1.0) + y_offset = 0.0 + y_extent = 6.0 + x_extent = 30.0 + arrowhead_height = 0.5 + arrowhead_length = 15.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + y_offset = -y_offset + # Draw the promoter symbol + l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), + (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), + (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent-(arrowhead_height)+y_offset)], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_rbs (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based ribosome binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.16,0.68,0.15) - y_offset = 0.0 - y_extent = 3.5 - x_extent = 10.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the RBS symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) - ax.add_line(l1) - c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) - ax.add_artist(c1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based ribosome binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.16,0.68,0.15) + y_offset = 0.0 + y_extent = 3.5 + x_extent = 10.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the RBS symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) + ax.add_line(l1) + c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) + ax.add_artist(c1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_user_defined (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based user defined region renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - y_offset = 0.0 - y_extent = 1.5 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), - (start_bp, -y_extent+y_offset), - (end_bp-dir_fac*scale, -y_extent+y_offset), - (end_bp-dir_fac*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based user defined region renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + y_offset = 0.0 + y_extent = 1.5 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the CDS symbol + p1 = Polygon([(start_bp, y_extent+y_offset), + (start_bp, -y_extent+y_offset), + (end_bp-dir_fac*scale, -y_extent+y_offset), + (end_bp-dir_fac*scale, y_extent+y_offset)], + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_cds (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based coding sequence renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - y_offset = 0.0 - y_extent = 1.5 - arrowhead_height = 1.0 - arrowhead_length = 30.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), - (start_bp, -y_extent+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), - (end_bp, 0+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based coding sequence renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + y_offset = 0.0 + y_extent = 1.5 + arrowhead_height = 1.0 + arrowhead_length = 30.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the CDS symbol + p1 = Polygon([(start_bp, y_extent+y_offset), + (start_bp, -y_extent+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), + (end_bp, 0+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based terminator renderer. - """ - # Default options - zorder_add = 0.0 - color = (1.0,0.0,0.0) - y_offset = 0.0 - y_extent = 3.5 - x_extent = 10.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the terminator symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=8+zorder_add) - l2 = Line2D([start_bp-(x_extent*scale),start_bp+(x_extent*scale)],[dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - # Shade the terminator area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (1.0,0.0,0.0) + y_offset = 0.0 + y_extent = 3.5 + x_extent = 10.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the terminator symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=8+zorder_add) + l2 = Line2D([start_bp-(x_extent*scale),start_bp+(x_extent*scale)],[dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + # Shade the terminator area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp ############################################################################### # The DNA renderer @@ -2626,406 +2626,406 @@ def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidt class DNARenderer: - """ Class defining the DNA rendering funtionality. - """ - - # Standard part types - STD_PART_TYPES = ['Promoter', - 'CDS', - 'Terminator', - 'RBS', - 'Scar', - 'Spacer', - 'EmptySpace', - 'RecombinaseSite', - 'RecombinaseSite2', - 'NCRNA', - 'Ribozyme', - 'Ribonuclease', - 'Protease', - 'DNACleavageSite', - 'RNACleavageSite', - 'ProteinCleavageSite', - 'DNALocation', - 'RNALocation', - 'ProteinLocation', - 'DNAStability', - 'RNAStability', - 'ProteinStability', - 'StemTop', - 'Operator', - 'Origin', - 'Insulator', - '5Overhang', - '3Overhang', - 'RestrictionSite', - 'BluntRestrictionSite', - 'PrimerBindingSite', - '5StickyRestrictionSite', - '3StickyRestrictionSite', - 'UserDefined', - 'Signature'] - - # Standard regulatory types - STD_REG_TYPES = ['Repression', - 'Activation', - 'Connection'] - - def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), - backbone_pad_left=0.0, backbone_pad_right=0.0): - """ Constructor to generate an empty DNARenderer. - - Parameters - ---------- - scale : float (default=1.0) - A scaling factor for the plot. Only used if rendering traces. - - linewidth : float (default=1.0) - The default linewidth for all part drawing. - - backbone_pad_left : float (default=0.0) - Padding to add to the left side of the backbone. - - backbone_pad_right : float (default=0.0) - Padding to add to the left side of the backbone. - """ - self.scale = scale - self.linewidth = linewidth - self.linecolor = linecolor - self.backbone_pad_left = backbone_pad_left - self.backbone_pad_right = backbone_pad_right - self.reg_height = 15 - - def SBOL_part_renderers (self): - """ Return dictionary of all standard built-in SBOL part renderers. - """ - return { - 'Promoter' :sbol_promoter, - 'CDS' :sbol_cds, - 'Terminator' :sbol_terminator, - 'RBS' :sbol_rbs, - 'Scar' :sbol_scar, - 'Spacer' :sbol_spacer, - 'EmptySpace' :sbol_empty_space, - 'Ribozyme' :sbol_ribozyme, - 'NCRNA' :sbol_ncrna, - 'Ribonuclease' :sbol_stem_top, - 'RecombinaseSite' :sbol_recombinase1, - 'RecombinaseSite2' :sbol_recombinase2, - 'Protease' :sbol_stem_top, - 'DNACleavageSite' :sbol_stem_top, - 'RNACleavageSite' :sbol_stem_top, - 'ProteinCleavageSite':sbol_stem_top, - 'DNALocation' :sbol_stem_top, - 'RNALocation' :sbol_stem_top, - 'ProteinLocation' :sbol_stem_top, - 'DNAStability' :sbol_stem_top, - 'RNAStability' :sbol_stem_top, - 'ProteinStability' :sbol_stem_top, - 'StemTop' :sbol_stem_top, - 'Operator' :sbol_operator, - 'Origin' :sbol_origin, - 'Insulator' :sbol_insulator, - '5Overhang' :sbol_5_overhang, - '3Overhang' :sbol_3_overhang, - 'RestrictionSite' :sbol_restriction_site, - 'BluntRestrictionSite' :sbol_blunt_restriction_site, - 'PrimerBindingSite' :sbol_primer_binding_site, - '5StickyRestrictionSite' :sbol_5_sticky_restriction_site, - '3StickyRestrictionSite' :sbol_3_sticky_restriction_site, - 'UserDefined' :sbol_user_defined, - 'Signature' :sbol_signature} - - def trace_part_renderers (self): - """ Return dictionary of all standard built-in trace part renderers. - """ - return { - 'Promoter' :trace_promoter, - 'CDS' :trace_cds, - 'Terminator' :trace_terminator, - 'RBS' :trace_rbs, - 'UserDefined' :trace_user_defined} - - def std_reg_renderers (self): - """ Return dictionary of all standard built-in regulation renderers. - """ - return { - 'Repression' :repress, - 'Activation' :induce, - 'Connection' :connect} - - def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True): - """ Render the parts on the DNA and regulation. - - Parameters - ---------- - ax : matplotlib.axes - Axes to draw the design to. - - parts : list(dict) - The design to draw. This is a list of dicts, where each dict relates to - a part and must contain the following keys: - - name (string) - - type (string) - - fwd (bool) - - start (float, optional) - - end (float, optional) - These will then be drawn in accordance with the renders selected - - part_renderers : dict(functions) - Dict of functions where the key in the part type and the dictionary returns - the function to be used to draw that part type. - - regs : list(dict) (default=None) - Regulation present in the design. This is a list of dicts, where each dict - relates to a single regulation arc and must contain the following keys: - - type (string) - - from_part (part object dict) - - to_part (part object dict) - These will then be drawn in accordance with the renders selected. - - reg_renderers : dict(functions) (default=None) - Dict of functions where the key in the regulation type and the dictionary - returns the function to be used to draw that regulation type. - - Returns - ------- - start : float - The x-point in the axis space that drawing begins. - - end : float - The x-point in the axis space that drawing ends. - """ - # Update the matplotlib rendering default for drawing the parts (we want mitered edges) - matplotlib.rcParams['lines.dash_joinstyle'] = 'miter' - matplotlib.rcParams['lines.dash_capstyle'] = 'butt' - matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' - matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' - # Make text editable in Adobe Illustrator - matplotlib.rcParams['pdf.fonttype'] = 42 - # Plot the parts to the axis - part_num = 0 - prev_end = 0 - first_start = 0 - first_part = True - - for part in parts: - keys = list(part.keys()) - - # Check the part has minimal details required - if 'type' in keys: - if 'fwd' not in keys: - part['fwd'] = True - else: - pass - #if part['fwd'] == False: - #if('start' in keys): - # start = part['start'] - # end = part['end'] - # part['end'] = start - # part['start'] = end - if 'start' not in keys: - if part['fwd'] == True: - part['start'] = part_num - else: - part['start'] = part_num+1 - if 'end' not in keys: - if part['fwd'] == True: - part['end'] = part_num+1 - else: - part['end'] = part_num - # Extract custom part options (if available) - part_opts = None - if 'opts' in list(part.keys()): - part_opts = part['opts'] - # Use the correct renderer - if 'renderer' in list(part.keys()): - # Use custom renderer - prev_start, prev_end = part['renderer'](ax, part['type'], part_num, - part['start'], part['end'], prev_end, - self.scale, self.linewidth, - opts=part_opts) - - #update start,end for regulation - #part['start'] = prev_start - #part['end'] = prev_end - - if first_part == True: - first_start = prev_start - first_part = False - else: - # Use standard renderer, if one exists - if part['type'] in list(part_renderers.keys()): - prev_start, prev_end = part_renderers[part['type']](ax, - part['type'], part_num, - part['start'], part['end'], - prev_end, self.scale, - self.linewidth, opts=part_opts) - - #update start,end for regulation [TEG] - if part['fwd'] == True: - part['start'] = prev_start - part['end'] = prev_end - else: - part['start'] = prev_end - part['end'] = prev_start - - if first_part == True: - first_start = prev_start - first_part = False - part_num += 1 - - # first pass to get all of the arcranges - if regs != None: - - for reg in regs: - keys = list(reg.keys()) - - # Check the part has minimal details required - if 'type' in keys and 'from_part' in keys and 'to_part' in keys: - # Extract custom part options (if available) - - reg_opts = None - if 'opts' in list(reg.keys()): - reg_opts = reg['opts'] - - if reg['type'] in list(reg_renderers.keys()): - - ############################################################################## - arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 - arcrange = [arcstart,arcend] - reg['arclength'] = math.fabs(arcstart-arcend) - reg['arc_height_index'] = 1 - ############################################################################## - - #sort regs by arc ranges from shortest to longest - regs.sort(key=lambda x: x['arclength'], reverse=False) - - reg_num = 0 - pos_arc_ranges = [] # arc above DNA backbone if to_part is fwd - neg_arc_ranges = [] # arc below DNA backbone if to_part is reverse - current_max = 1 - - # second pass to render all the arcs - for reg in regs: - keys = list(reg.keys()) - - # Check the part has minimal details required - if 'type' in keys and 'from_part' in keys and 'to_part' in keys: - # Extract custom part options (if available) - - reg_opts = None - if 'opts' in list(reg.keys()): - reg_opts = reg['opts'] - - if reg['type'] in list(reg_renderers.keys()): - - ############################################################################## - # arc height algorithm: greedy from left-to-right on DNA design - - arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 - - arcmin = min(arcstart,arcend) - arcmax = max(arcstart,arcend) - arcrange = [arcmin,arcmax,reg['arc_height_index']] - arc_height_index = 1 - - # arc above if to_part is fwd - if(reg['to_part']['fwd'] == True): - # find max arc height index of ONLY the prior arcs that clash with the current arc - current_max = 1 - for r in pos_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - - # if arcs cross over, increment the arc height index - for r in pos_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - pos_arc_ranges.append(arcrange) - - # arc below if to_part is reverse - else: - # find max arc height index - current_max = 1 - for r in neg_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - - # if arcs cross over, increment the arc height index - for r in neg_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - neg_arc_ranges.append(arcrange) - ############################################################################## - reg_renderers[reg['type']](ax, reg['type'], - reg_num, reg['from_part'], - reg['to_part'], self.scale, - self.linewidth, reg['arc_height_index'], opts=reg_opts) - reg_num += 1 - # Plot the backbone (z=1) - if plot_backbone == True: - l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], - linewidth=self.linewidth, color=self.linecolor, zorder=10) - ax.add_line(l1) - return first_start, prev_end - - def annotate (self, ax, part_renderers, part, annotate_zorder=1000): - """ Annotate a plot at a user specified location and offset. - """ - # Annotations show be placed on top of existing design - if 'opts' not in list(part.keys()): - part['opts'] = {'zorder_add': annotate_zorder} - else: - part['opts']['zorder_add'] = annotate_zorder - # Draw the part - part_renderers[part['type']](ax, - part['type'], 1, - part['start'], part['end'], - part['start'], self.scale, - self.linewidth, opts=part['opts']) + """ Class defining the DNA rendering funtionality. + """ + + # Standard part types + STD_PART_TYPES = ['Promoter', + 'CDS', + 'Terminator', + 'RBS', + 'Scar', + 'Spacer', + 'EmptySpace', + 'RecombinaseSite', + 'RecombinaseSite2', + 'NCRNA', + 'Ribozyme', + 'Ribonuclease', + 'Protease', + 'DNACleavageSite', + 'RNACleavageSite', + 'ProteinCleavageSite', + 'DNALocation', + 'RNALocation', + 'ProteinLocation', + 'DNAStability', + 'RNAStability', + 'ProteinStability', + 'StemTop', + 'Operator', + 'Origin', + 'Insulator', + '5Overhang', + '3Overhang', + 'RestrictionSite', + 'BluntRestrictionSite', + 'PrimerBindingSite', + '5StickyRestrictionSite', + '3StickyRestrictionSite', + 'UserDefined', + 'Signature'] + + # Standard regulatory types + STD_REG_TYPES = ['Repression', + 'Activation', + 'Connection'] + + def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), + backbone_pad_left=0.0, backbone_pad_right=0.0): + """ Constructor to generate an empty DNARenderer. + + Parameters + ---------- + scale : float (default=1.0) + A scaling factor for the plot. Only used if rendering traces. + + linewidth : float (default=1.0) + The default linewidth for all part drawing. + + backbone_pad_left : float (default=0.0) + Padding to add to the left side of the backbone. + + backbone_pad_right : float (default=0.0) + Padding to add to the left side of the backbone. + """ + self.scale = scale + self.linewidth = linewidth + self.linecolor = linecolor + self.backbone_pad_left = backbone_pad_left + self.backbone_pad_right = backbone_pad_right + self.reg_height = 15 + + def SBOL_part_renderers (self): + """ Return dictionary of all standard built-in SBOL part renderers. + """ + return { + 'Promoter' :sbol_promoter, + 'CDS' :sbol_cds, + 'Terminator' :sbol_terminator, + 'RBS' :sbol_rbs, + 'Scar' :sbol_scar, + 'Spacer' :sbol_spacer, + 'EmptySpace' :sbol_empty_space, + 'Ribozyme' :sbol_ribozyme, + 'NCRNA' :sbol_ncrna, + 'Ribonuclease' :sbol_stem_top, + 'RecombinaseSite' :sbol_recombinase1, + 'RecombinaseSite2' :sbol_recombinase2, + 'Protease' :sbol_stem_top, + 'DNACleavageSite' :sbol_stem_top, + 'RNACleavageSite' :sbol_stem_top, + 'ProteinCleavageSite':sbol_stem_top, + 'DNALocation' :sbol_stem_top, + 'RNALocation' :sbol_stem_top, + 'ProteinLocation' :sbol_stem_top, + 'DNAStability' :sbol_stem_top, + 'RNAStability' :sbol_stem_top, + 'ProteinStability' :sbol_stem_top, + 'StemTop' :sbol_stem_top, + 'Operator' :sbol_operator, + 'Origin' :sbol_origin, + 'Insulator' :sbol_insulator, + '5Overhang' :sbol_5_overhang, + '3Overhang' :sbol_3_overhang, + 'RestrictionSite' :sbol_restriction_site, + 'BluntRestrictionSite' :sbol_blunt_restriction_site, + 'PrimerBindingSite' :sbol_primer_binding_site, + '5StickyRestrictionSite' :sbol_5_sticky_restriction_site, + '3StickyRestrictionSite' :sbol_3_sticky_restriction_site, + 'UserDefined' :sbol_user_defined, + 'Signature' :sbol_signature} + + def trace_part_renderers (self): + """ Return dictionary of all standard built-in trace part renderers. + """ + return { + 'Promoter' :trace_promoter, + 'CDS' :trace_cds, + 'Terminator' :trace_terminator, + 'RBS' :trace_rbs, + 'UserDefined' :trace_user_defined} + + def std_reg_renderers (self): + """ Return dictionary of all standard built-in regulation renderers. + """ + return { + 'Repression' :repress, + 'Activation' :induce, + 'Connection' :connect} + + def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True): + """ Render the parts on the DNA and regulation. + + Parameters + ---------- + ax : matplotlib.axes + Axes to draw the design to. + + parts : list(dict) + The design to draw. This is a list of dicts, where each dict relates to + a part and must contain the following keys: + - name (string) + - type (string) + - fwd (bool) + - start (float, optional) + - end (float, optional) + These will then be drawn in accordance with the renders selected + + part_renderers : dict(functions) + Dict of functions where the key in the part type and the dictionary returns + the function to be used to draw that part type. + + regs : list(dict) (default=None) + Regulation present in the design. This is a list of dicts, where each dict + relates to a single regulation arc and must contain the following keys: + - type (string) + - from_part (part object dict) + - to_part (part object dict) + These will then be drawn in accordance with the renders selected. + + reg_renderers : dict(functions) (default=None) + Dict of functions where the key in the regulation type and the dictionary + returns the function to be used to draw that regulation type. + + Returns + ------- + start : float + The x-point in the axis space that drawing begins. + + end : float + The x-point in the axis space that drawing ends. + """ + # Update the matplotlib rendering default for drawing the parts (we want mitered edges) + matplotlib.rcParams['lines.dash_joinstyle'] = 'miter' + matplotlib.rcParams['lines.dash_capstyle'] = 'butt' + matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' + matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' + # Make text editable in Adobe Illustrator + matplotlib.rcParams['pdf.fonttype'] = 42 + # Plot the parts to the axis + part_num = 0 + prev_end = 0 + first_start = 0 + first_part = True + + for part in parts: + keys = list(part.keys()) + + # Check the part has minimal details required + if 'type' in keys: + if 'fwd' not in keys: + part['fwd'] = True + else: + pass + #if part['fwd'] == False: + #if('start' in keys): + # start = part['start'] + # end = part['end'] + # part['end'] = start + # part['start'] = end + if 'start' not in keys: + if part['fwd'] == True: + part['start'] = part_num + else: + part['start'] = part_num+1 + if 'end' not in keys: + if part['fwd'] == True: + part['end'] = part_num+1 + else: + part['end'] = part_num + # Extract custom part options (if available) + part_opts = None + if 'opts' in list(part.keys()): + part_opts = part['opts'] + # Use the correct renderer + if 'renderer' in list(part.keys()): + # Use custom renderer + prev_start, prev_end = part['renderer'](ax, part['type'], part_num, + part['start'], part['end'], prev_end, + self.scale, self.linewidth, + opts=part_opts) + + #update start,end for regulation + #part['start'] = prev_start + #part['end'] = prev_end + + if first_part == True: + first_start = prev_start + first_part = False + else: + # Use standard renderer, if one exists + if part['type'] in list(part_renderers.keys()): + prev_start, prev_end = part_renderers[part['type']](ax, + part['type'], part_num, + part['start'], part['end'], + prev_end, self.scale, + self.linewidth, opts=part_opts) + + #update start,end for regulation [TEG] + if part['fwd'] == True: + part['start'] = prev_start + part['end'] = prev_end + else: + part['start'] = prev_end + part['end'] = prev_start + + if first_part == True: + first_start = prev_start + first_part = False + part_num += 1 + + # first pass to get all of the arcranges + if regs != None: + + for reg in regs: + keys = list(reg.keys()) + + # Check the part has minimal details required + if 'type' in keys and 'from_part' in keys and 'to_part' in keys: + # Extract custom part options (if available) + + reg_opts = None + if 'opts' in list(reg.keys()): + reg_opts = reg['opts'] + + if reg['type'] in list(reg_renderers.keys()): + + ############################################################################## + arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + arcrange = [arcstart,arcend] + reg['arclength'] = math.fabs(arcstart-arcend) + reg['arc_height_index'] = 1 + ############################################################################## + + #sort regs by arc ranges from shortest to longest + regs.sort(key=lambda x: x['arclength'], reverse=False) + + reg_num = 0 + pos_arc_ranges = [] # arc above DNA backbone if to_part is fwd + neg_arc_ranges = [] # arc below DNA backbone if to_part is reverse + current_max = 1 + + # second pass to render all the arcs + for reg in regs: + keys = list(reg.keys()) + + # Check the part has minimal details required + if 'type' in keys and 'from_part' in keys and 'to_part' in keys: + # Extract custom part options (if available) + + reg_opts = None + if 'opts' in list(reg.keys()): + reg_opts = reg['opts'] + + if reg['type'] in list(reg_renderers.keys()): + + ############################################################################## + # arc height algorithm: greedy from left-to-right on DNA design + + arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + + arcmin = min(arcstart,arcend) + arcmax = max(arcstart,arcend) + arcrange = [arcmin,arcmax,reg['arc_height_index']] + arc_height_index = 1 + + # arc above if to_part is fwd + if(reg['to_part']['fwd'] == True): + # find max arc height index of ONLY the prior arcs that clash with the current arc + current_max = 1 + for r in pos_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + + # if arcs cross over, increment the arc height index + for r in pos_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + pos_arc_ranges.append(arcrange) + + # arc below if to_part is reverse + else: + # find max arc height index + current_max = 1 + for r in neg_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + + # if arcs cross over, increment the arc height index + for r in neg_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + neg_arc_ranges.append(arcrange) + ############################################################################## + reg_renderers[reg['type']](ax, reg['type'], + reg_num, reg['from_part'], + reg['to_part'], self.scale, + self.linewidth, reg['arc_height_index'], opts=reg_opts) + reg_num += 1 + # Plot the backbone (z=1) + if plot_backbone == True: + l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], + linewidth=self.linewidth, color=self.linecolor, zorder=10) + ax.add_line(l1) + return first_start, prev_end + + def annotate (self, ax, part_renderers, part, annotate_zorder=1000): + """ Annotate a plot at a user specified location and offset. + """ + # Annotations show be placed on top of existing design + if 'opts' not in list(part.keys()): + part['opts'] = {'zorder_add': annotate_zorder} + else: + part['opts']['zorder_add'] = annotate_zorder + # Draw the part + part_renderers[part['type']](ax, + part['type'], 1, + part['start'], part['end'], + part['start'], self.scale, + self.linewidth, opts=part['opts']) ############################################################################### @@ -3034,142 +3034,142 @@ def annotate (self, ax, part_renderers, part, annotate_zorder=1000): def plot_sbol_designs (axes, dna_designs, regulations=None, plot_params={}, plot_names=None): - """ Plot SBOL designs to axes. - - Parameters - ---------- - axes : list(matplotlib.axis) - List of axis objects to plot the designs to. - - dna_designs : list(dict(design_information)) - List of designs to plot. - - regulations : list(dict(regulation_information)) (default=None) - List of regulations to use for each design. - - plot_params : dict (default={}) - General plotting parameters to use. - - plot_names : list(string) (default=None) - List of names to use on each plot. If None provided then no titles displayed. - - Returns - ------- - xlims : [float, float] - The x-axis range for each axis. - - ylims : [float, float] - The y-axis range for each axis. - """ - # Standard plotting parameters - if 'axis_y' not in list(plot_params.keys()): - plot_params['axis_y'] = 35 - left_pad = 0.0 - right_pad = 0.0 - scale = 1.0 - linewidth = 1.0 - fig_y = 5.0 - fig_x = 5.0 - if 'backbone_pad_left' in list(plot_params.keys()): - left_pad = plot_params['backbone_pad_left'] - if 'backbone_pad_right' in list(plot_params.keys()): - right_pad = plot_params['backbone_pad_right'] - if 'scale' in list(plot_params.keys()): - scale = plot_params['scale'] - if 'linewidth' in list(plot_params.keys()): - linewidth = plot_params['linewidth'] - dr = DNARenderer(scale=scale, linewidth=linewidth, - backbone_pad_left=left_pad, - backbone_pad_right=right_pad) - - # We default to the standard regulation renderers - reg_renderers = dr.std_reg_renderers() - # We default to the SBOL part renderers - part_renderers = dr.SBOL_part_renderers() - - # Plot each design on the appropriate axis - num_of_designs = len(dna_designs) - max_dna_len = 0.0 - for i in range(num_of_designs): - - # Create axis for the design and plot - regs = None - if(regulations != None): - regs = regulations[i] - design = dna_designs[i] - ax = axes[i] - - if plot_names != None: - ax.set_title(plot_names[i], fontsize=8) - - start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) - - dna_len = end-start - if max_dna_len < dna_len: - max_dna_len = dna_len - - # Update formatting and resize all axis in similar way - for ax in axes: - ax.set_xticks([]) - ax.set_yticks([]) - # Set bounds - ax.set_xlim([(-0.01*max_dna_len)-left_pad, - max_dna_len+(0.01*max_dna_len)+right_pad]) - ax.set_ylim([-plot_params['axis_y'],plot_params['axis_y']]) - ax.set_aspect('equal') - ax.set_axis_off() - - # xlims, ylims are returned - return max_dna_len, [(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad], [-plot_params['axis_y'],plot_params['axis_y']] + """ Plot SBOL designs to axes. + + Parameters + ---------- + axes : list(matplotlib.axis) + List of axis objects to plot the designs to. + + dna_designs : list(dict(design_information)) + List of designs to plot. + + regulations : list(dict(regulation_information)) (default=None) + List of regulations to use for each design. + + plot_params : dict (default={}) + General plotting parameters to use. + + plot_names : list(string) (default=None) + List of names to use on each plot. If None provided then no titles displayed. + + Returns + ------- + xlims : [float, float] + The x-axis range for each axis. + + ylims : [float, float] + The y-axis range for each axis. + """ + # Standard plotting parameters + if 'axis_y' not in list(plot_params.keys()): + plot_params['axis_y'] = 35 + left_pad = 0.0 + right_pad = 0.0 + scale = 1.0 + linewidth = 1.0 + fig_y = 5.0 + fig_x = 5.0 + if 'backbone_pad_left' in list(plot_params.keys()): + left_pad = plot_params['backbone_pad_left'] + if 'backbone_pad_right' in list(plot_params.keys()): + right_pad = plot_params['backbone_pad_right'] + if 'scale' in list(plot_params.keys()): + scale = plot_params['scale'] + if 'linewidth' in list(plot_params.keys()): + linewidth = plot_params['linewidth'] + dr = DNARenderer(scale=scale, linewidth=linewidth, + backbone_pad_left=left_pad, + backbone_pad_right=right_pad) + + # We default to the standard regulation renderers + reg_renderers = dr.std_reg_renderers() + # We default to the SBOL part renderers + part_renderers = dr.SBOL_part_renderers() + + # Plot each design on the appropriate axis + num_of_designs = len(dna_designs) + max_dna_len = 0.0 + for i in range(num_of_designs): + + # Create axis for the design and plot + regs = None + if(regulations != None): + regs = regulations[i] + design = dna_designs[i] + ax = axes[i] + + if plot_names != None: + ax.set_title(plot_names[i], fontsize=8) + + start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) + + dna_len = end-start + if max_dna_len < dna_len: + max_dna_len = dna_len + + # Update formatting and resize all axis in similar way + for ax in axes: + ax.set_xticks([]) + ax.set_yticks([]) + # Set bounds + ax.set_xlim([(-0.01*max_dna_len)-left_pad, + max_dna_len+(0.01*max_dna_len)+right_pad]) + ax.set_ylim([-plot_params['axis_y'],plot_params['axis_y']]) + ax.set_aspect('equal') + ax.set_axis_off() + + # xlims, ylims are returned + return max_dna_len, [(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad], [-plot_params['axis_y'],plot_params['axis_y']] def save_sbol_designs (filename, dna_designs, regulations=None, plot_params={}, plot_names=None): - """ Plot SBOL designs to axes. + """ Plot SBOL designs to axes. - Parameters - ---------- - filename : string - Image filename to save designs to. Extention provided will determine format - and must be supported by matplotlib. + Parameters + ---------- + filename : string + Image filename to save designs to. Extention provided will determine format + and must be supported by matplotlib. - dna_designs : list(dict(design_information)) - List of designs to plot. + dna_designs : list(dict(design_information)) + List of designs to plot. - regulations : list(dict(regulation_information)) (default=None) - List of regulations to use for each design. + regulations : list(dict(regulation_information)) (default=None) + List of regulations to use for each design. - plot_params : dict (default={}) - General plotting parameters to use. + plot_params : dict (default={}) + General plotting parameters to use. - plot_names : list(string) (default=None) - List of names to use on each plot. If None provided then no titles displayed. - """ + plot_names : list(string) (default=None) + List of names to use on each plot. If None provided then no titles displayed. + """ - # Create the figure - fig = plt.figure(figsize=(10,10)) - fig.patch.set_facecolor('white') + # Create the figure + fig = plt.figure(figsize=(10,10)) + fig.patch.set_facecolor('white') - # Create all the axes required - axes = [] - for i in range(len(dna_designs)): - ax = fig.add_subplot(len(dna_designs),1,i+1, axisbg='white') - axes.append(ax) + # Create all the axes required + axes = [] + for i in range(len(dna_designs)): + ax = fig.add_subplot(len(dna_designs),1,i+1, axisbg='white') + axes.append(ax) - # Plot design to the axes - max_dna_len, lims, params = plot_sbol_designs (axes, dna_designs, regulations=regulations, plot_params=plot_params, plot_names=plot_names) + # Plot design to the axes + max_dna_len, lims, params = plot_sbol_designs (axes, dna_designs, regulations=regulations, plot_params=plot_params, plot_names=plot_names) - # Update the size of the figure to fit the constructs drawn - fig_x_dim = max_dna_len/70.0 - if fig_x_dim < 1.0: - fig_x_dim = 1.0 - fig_y_dim = 1.2*len(axes) - plt.gcf().set_size_inches( (fig_x_dim, fig_y_dim) ) + # Update the size of the figure to fit the constructs drawn + fig_x_dim = max_dna_len/70.0 + if fig_x_dim < 1.0: + fig_x_dim = 1.0 + fig_y_dim = 1.2*len(axes) + plt.gcf().set_size_inches( (fig_x_dim, fig_y_dim) ) - # Save the figure - plt.tight_layout() - fig.savefig(filename, transparent=True, dpi=300) - # Clear the plotting cache - plt.close('all') + # Save the figure + plt.tight_layout() + fig.savefig(filename, transparent=True, dpi=300) + # Clear the plotting cache + plt.close('all') ############################################################################### @@ -3178,80 +3178,80 @@ def save_sbol_designs (filename, dna_designs, regulations=None, plot_params={}, def convert_attrib (attrib): - if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 3: - col_parts = attrib[1:-1].split(',') - new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2])) - return new_col - if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 4: - col_parts = attrib[1:-1].split(',') - new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2]), float(col_parts[3])) - return new_col - try: - # See if a number - return float(attrib) - except ValueError: - # Must be a string - return attrib + if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 3: + col_parts = attrib[1:-1].split(',') + new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2])) + return new_col + if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 4: + col_parts = attrib[1:-1].split(',') + new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2]), float(col_parts[3])) + return new_col + try: + # See if a number + return float(attrib) + except ValueError: + # Must be a string + return attrib dpl_default_type_map = {'gene': 'CDS', - 'promoter': 'Promoter', - 'terminator': 'Terminator', - 'rbs': 'RBS'} + 'promoter': 'Promoter', + 'terminator': 'Terminator', + 'rbs': 'RBS'} def load_design_from_gff (filename, chrom, type_map=dpl_default_type_map, region=None): - # Load the GFF data - gff = [] - data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') - for row in data_reader: - if len(row) == 9: - cur_chrom = row[0] - part_type = row[2] - start_bp = int(row[3]) - end_bp = int(row[4]) - part_dir = row[6] - part_attribs = {} - split_attribs = row[8].split(';') - part_name = None - for attrib in split_attribs: - key_value = attrib.split('=') - if len(key_value) == 2: - if key_value[0] == 'Name': - part_name = key_value[1] - else: - part_attribs[key_value[0]] = convert_attrib(key_value[1]) - if part_name != None and cur_chrom == chrom and part_type in list(type_map.keys()): - # Check feature start falls in region - if region != None and (start_bp > region[0] and start_bp < region[1]): - gff.append([part_name, type_map[part_type], part_dir, start_bp, end_bp, part_attribs]) - # Convert to DNAplotlib design (sort on start position first) - design = [] - for gff_el in sorted(gff, key=itemgetter(3)): - new_part = {} - new_part['name'] = gff_el[0] - new_part['type'] = gff_el[1] - if gff_el[2] == '+': - new_part['fwd'] = True - else: - new_part['fwd'] = False - new_part['start'] = gff_el[3] - new_part['end'] = gff_el[4] - new_part['opts'] = gff_el[5] - design.append(new_part) - # Return the sorted design - return design + # Load the GFF data + gff = [] + data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') + for row in data_reader: + if len(row) == 9: + cur_chrom = row[0] + part_type = row[2] + start_bp = int(row[3]) + end_bp = int(row[4]) + part_dir = row[6] + part_attribs = {} + split_attribs = row[8].split(';') + part_name = None + for attrib in split_attribs: + key_value = attrib.split('=') + if len(key_value) == 2: + if key_value[0] == 'Name': + part_name = key_value[1] + else: + part_attribs[key_value[0]] = convert_attrib(key_value[1]) + if part_name != None and cur_chrom == chrom and part_type in list(type_map.keys()): + # Check feature start falls in region + if region != None and (start_bp > region[0] and start_bp < region[1]): + gff.append([part_name, type_map[part_type], part_dir, start_bp, end_bp, part_attribs]) + # Convert to DNAplotlib design (sort on start position first) + design = [] + for gff_el in sorted(gff, key=itemgetter(3)): + new_part = {} + new_part['name'] = gff_el[0] + new_part['type'] = gff_el[1] + if gff_el[2] == '+': + new_part['fwd'] = True + else: + new_part['fwd'] = False + new_part['start'] = gff_el[3] + new_part['end'] = gff_el[4] + new_part['opts'] = gff_el[5] + design.append(new_part) + # Return the sorted design + return design def load_profile_from_bed (filename, chrom, region): - region_len = region[1]-region[0] - profile = [0]*region_len - data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') - for row in data_reader: - if len(row) == 5: - cur_chrom = row[0] - cur_start_bp = int(row[1]) - cur_end_bp = int(row[2]) - if cur_start_bp == region[0] and cur_end_bp == region[1]: - profile[int(row[3])-1] = float(row[4]) - return profile + region_len = region[1]-region[0] + profile = [0]*region_len + data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') + for row in data_reader: + if len(row) == 5: + cur_chrom = row[0] + cur_start_bp = int(row[1]) + cur_end_bp = int(row[2]) + if cur_start_bp == region[0] and cur_end_bp == region[1]: + profile[int(row[3])-1] = float(row[4]) + return profile From dfcaea7c8e88b8045b56739b92a814700c34e1ee Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Mon, 27 May 2019 17:03:18 -0700 Subject: [PATCH 11/43] wave end --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index d1a707e..ce771a1 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1631,7 +1631,7 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): wave_height = wavemult*y_extent #wave_height = -y_extent wave_start = start - + wave_end = end wave_length = end-start wave_bezier_amp = y_extent*0.2 wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) From b82d00720d69c7cc5467ff59db3fa94b55eb7ba4 Mon Sep 17 00:00:00 2001 From: dr3y Date: Fri, 31 May 2019 01:12:16 -0700 Subject: [PATCH 12/43] fixed operator and added oriT --- dnaplotlib/dnaplotlib.py | 155 +++++++++++++++++++++++++++++++++++++-- 1 file changed, 149 insertions(+), 6 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index ce771a1..9af6e6a 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -314,6 +314,64 @@ def sbol_terminator (ax, type, num, start, end, prev_end, scale, linewidth, opts return prev_end, final_end +def sbol_aptamer (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10.0 + x_extent = 8.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the terminator symbol + l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, + color=color, zorder=8+zorder_add) + l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], + linewidth=linewidth, color=color, zorder=9+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL ribosome binding site renderer. """ @@ -1936,6 +1994,79 @@ def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): else: return prev_end, final_end +def sbol_origin_of_transfer (ax, type, num, start, end, prev_end, scale, linewidth, opts): + """ Built-in SBOL origin of transfer renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + y_extent = 10.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + ori_center = (start+((end-start)/2.0),0) + extend = 1.2 + arrowlongedge = x_extent*extend*.20 + arrowshortedge = x_extent*extend*.09 + arrowdest = (start+x_extent*extend,y_extent*extend/2) + + c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + #arrow = FancyArrow(ori_center[0],ori_center[1],\ + # x_extent/2*extend,y_extent/2*extend,width=linewidth) + arrowpath =Path(vertices=[ori_center, + arrowdest, + (arrowdest[0]-arrowlongedge,arrowdest[1]-arrowshortedge), + (arrowdest[0]-arrowshortedge,arrowdest[1]-arrowlongedge), + arrowdest, + arrowdest,], + codes=[1, 2,2,1,2,79]) + p2 = PathPatch(arrowpath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add, linestyle='-') + + + ax.add_patch(c1) + ax.add_patch(p2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end + def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): """ Built-in SBOL operator renderer. @@ -1977,14 +2108,24 @@ def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): final_end = end+end_pad #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), + + #p1 = Polygon([(start, y_extent), + # (start, -y_extent), + # (start+x_extent, -y_extent), + # (start+x_extent, y_extent)], + # edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=None, zorder=11+zorder_add, + # path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + operatorpath = Path(vertices=[(start, y_extent), (start, -y_extent), (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) + (start+x_extent, y_extent), + (start, y_extent), + (start, y_extent)], + codes=[1, 2,2,2,1,79]) + p2 = PathPatch(operatorpath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=11+zorder_add, linestyle='-') + #ax.add_patch(p1) + ax.add_patch(p2) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: @@ -2655,6 +2796,7 @@ class DNARenderer: 'StemTop', 'Operator', 'Origin', + 'OriginOfTransfer', 'Insulator', '5Overhang', '3Overhang', @@ -2725,6 +2867,7 @@ def SBOL_part_renderers (self): 'StemTop' :sbol_stem_top, 'Operator' :sbol_operator, 'Origin' :sbol_origin, + 'OriginOfTransfer' :sbol_origin_of_transfer, 'Insulator' :sbol_insulator, '5Overhang' :sbol_5_overhang, '3Overhang' :sbol_3_overhang, From 62c6b05d34057c6dfdc423659fefcb806756d4b9 Mon Sep 17 00:00:00 2001 From: dr3y Date: Fri, 31 May 2019 11:58:45 -0700 Subject: [PATCH 13/43] aptamer added --- dnaplotlib/dnaplotlib.py | 80 +++++++++++++++++++++++++++++++++------- requirements.txt | 1 + 2 files changed, 67 insertions(+), 14 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 9af6e6a..f16a183 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -57,6 +57,7 @@ from matplotlib.lines import Line2D from matplotlib.patheffects import Stroke import matplotlib.patches as patches +import numpy as np __author__ = 'Thomas E. Gorochowski \n\ @@ -320,10 +321,10 @@ def sbol_aptamer (ax, type, num, start, end, prev_end, scale, linewidth, opts): # Default options zorder_add = 0.0 color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10.0 - x_extent = 8.0 + start_pad = 0 + end_pad = 0 + y_extent = 12.0 + x_extent = 12.0 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): @@ -348,20 +349,69 @@ def sbol_aptamer (ax, type, num, start, end, prev_end, scale, linewidth, opts): final_start = prev_end if start > end: dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad + start = prev_end+end_pad + end = start+x_extent + final_end = end+start_pad else: start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - # Draw the terminator symbol - l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, - color=color, zorder=8+zorder_add) - l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], - linewidth=linewidth, color=color, zorder=9+zorder_add) - ax.add_line(l1) - ax.add_line(l2) + # Draw the aptamer symbol + aptavertex = np.array([[ 0.43387125, -0.01575775], + [ 0.43387125, 0.27341225], + [ 0.51520025, 0.29435275], + [ 0.57536225, 0.3680035 ], + [ 0.57536225, 0.45586 ], + [ 0.57536225, 0.47506525], + [ 0.572457, 0.49357225], + [ 0.567137, 0.51102275], + [ 0.73824675, 0.60982125], + [ 0.751528, 0.60265225], + [ 0.7664885, 0.59823775], + [ 0.782656, 0.59823775], + [ 0.8347625, 0.59823775], + [ 0.8769835, 0.64045875], + [ 0.8769835, 0.69256525], + [ 0.8769835, 0.74465275], + [ 0.8347625, 0.7868925 ], + [ 0.782656, 0.7868925 ], + [ 0.73053075, 0.7868925 ], + [ 0.68832875, 0.74465275], + [ 0.68832875, 0.69256525], + [ 0.68832875, 0.69171525], + [ 0.68855375, 0.69090525], + [ 0.68859375, 0.69007525], + [ 0.5176915, 0.5914275 ], + [ 0.4837525, 0.6242535 ], + [ 0.4376265, 0.644515 ], + [ 0.386671, 0.644515 ], + [ 0.28251475, 0.644515 ], + [ 0.19801625, 0.56005425], + [ 0.19801625, 0.45586025], + [ 0.19801625, 0.367985 ], + [ 0.25817825, 0.294353 ], + [ 0.33950725, 0.2734125 ], + [ 0.33950725, -0.0157575 ]]) + aptacodes = [1, 2, 4, 4, 4, 4,\ + 4, 4, 2, 4, 4, 4,\ + 4, 4, 4, 4, 4, 4,\ + 4, 4, 4, 4, 4, 4,\ + 2, 4, 4, 4, 4, 4,\ + 4, 4, 4, 4, 2] + aptavertexFlip = np.dot(aptavertex,np.array([[-1,0],[0,-1]]))+(1,0) + aptavertexScaled = aptavertex*(x_extent,y_extent)+(start,0) + aptavertexFlipScaled = aptavertexFlip*(x_extent,y_extent)+(start,0) + #aptapath = Path(aptavertex,aptacodes) + #aptapathFlip = Path(aptavertexFlip,aptacodes) + + if(dir_fac==-1): + aptapath = Path(aptavertexFlipScaled,aptacodes) + else: + aptapath = Path(aptavertexScaled,aptacodes) + aptapatch = PathPatch(aptapath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add, linestyle='-') + + ax.add_patch(aptapatch) if opts != None and 'label' in list(opts.keys()): if final_start > final_end: write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) @@ -2772,6 +2822,7 @@ class DNARenderer: # Standard part types STD_PART_TYPES = ['Promoter', + 'Aptamer', 'CDS', 'Terminator', 'RBS', @@ -2843,6 +2894,7 @@ def SBOL_part_renderers (self): """ return { 'Promoter' :sbol_promoter, + 'Aptamer' :sbol_aptamer, 'CDS' :sbol_cds, 'Terminator' :sbol_terminator, 'RBS' :sbol_rbs, diff --git a/requirements.txt b/requirements.txt index 0bc64fb..5b10244 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,2 +1,3 @@ matplotlib>=1.5.0 pysbol2 +numpy From 6120aeca6a42ec1d8bd945c13f5f97d877a7ea52 Mon Sep 17 00:00:00 2001 From: dr3y Date: Tue, 11 Jun 2019 10:54:25 -0700 Subject: [PATCH 14/43] fixed up spacing on some symbols, reverse on 5poverhang and 3poverhang --- dnaplotlib/dnaplotlib.py | 61 +++++++++++++++-------- gallery/all_parts/actually_all_parts.png | Bin 0 -> 135810 bytes gallery/all_parts/actually_all_parts.py | 39 +++++++++++++++ 3 files changed, 78 insertions(+), 22 deletions(-) create mode 100644 gallery/all_parts/actually_all_parts.png create mode 100644 gallery/all_parts/actually_all_parts.py diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index f16a183..476cb55 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1030,16 +1030,23 @@ def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding - final_end = end + fliptopbottom = 1 final_start = prev_end + spmod = 0 + if(start > end): + start = prev_end+end_pad + end = start+x_extent + fliptopbottom = -1 + final_end = end+start_pad + spmod = (x_extent/2.0) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start+(x_extent/2.0),start+x_extent],[-1*y_extent,-1*y_extent], + l_bottom = Line2D([start+(x_extent/2.0)-spmod,start+x_extent-spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), @@ -1097,16 +1104,23 @@ def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts if 'scale' in list(opts.keys()): scale = opts['scale'] # Check direction add start padding - final_end = end + fliptopbottom = 1 final_start = prev_end + spmod = 0 + if(start > end): + start = prev_end+end_pad + end = start+x_extent + fliptopbottom = -1 + final_end = end+start_pad + spmod = (x_extent/2.0) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+(x_extent/2.0)],[-1*y_extent,-1*y_extent], + l_bottom = Line2D([start+spmod,start+(x_extent/2.0)+spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) #white rectangle overlays backbone line p1 = Polygon([(start, y_extent), @@ -1664,12 +1678,14 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op if start > end: start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth - final_end = start+start_pad + final_end = start+start_pad+linewidth + #temp = color color = color2 + #color2 = temp else: start = prev_end+start_pad+linewidth end = start+x_extent - final_end = end+end_pad + final_end = end+end_pad+linewidth # Draw the site p1 = Polygon([(start, y_lower), (start, y_upper), @@ -1724,15 +1740,16 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): y_lower = -1 * y_extent/2 y_upper = y_extent/2 wavemult = 1 + #print("oogabooga") if start > end: start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth - final_end = start+start_pad + final_end = start+start_pad+linewidth wavemult = -1 else: start = prev_end+start_pad+linewidth end = start+x_extent - final_end = end+end_pad + final_end = end+end_pad+linewidth midpoint = (end + start) / 2 @@ -1827,14 +1844,14 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op if start > end: start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth - final_end = start+start_pad + final_end = start+start_pad+linewidth temp = color color = color2 color2 = temp else: start = prev_end+start_pad+linewidth end = start+x_extent - final_end = end+end_pad + final_end = end+end_pad+linewidth # Draw the site p1 = Polygon([(start, y_lower), (start, y_upper), @@ -1898,8 +1915,8 @@ def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth final_end = end final_start = prev_end - start = prev_end+start_pad - end = start + linewidth + start = prev_end+start_pad+linewidth/2 + end = start + linewidth/2 final_end = end+end_pad l1 = Line2D([start,start],[-y_extent,y_extent], diff --git a/gallery/all_parts/actually_all_parts.png b/gallery/all_parts/actually_all_parts.png new file mode 100644 index 0000000000000000000000000000000000000000..ad7245eb70d7e9702aa5f33f4461db1d96a415c6 GIT binary patch literal 135810 zcmeFZ`9GBH8$LemJ$kfD2yIf`W*WidpgA z9ZeK!k2~_;{=M)M_5(yQ_-nWGZAI<<@aO6NC$HiAzZ~xAIipaA9wGnjz{zG=!4D-| zz9-QPHXU zX0g}8(=1D@t<0@dd!ASYnUbRPqAtvCUgtcf^2NwePX5l}o>DJgU-9<}hQE!4_L;QS 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zKt31sln2ZhLHuG`cv$x7wfWEWM}Y(CgBxCh4S~YVP8c^H*SUUH8ad!j$HULGOpk#r zsDw(;y{M=tFr795MC?JD!`85+`IcVZjVMyjhXr`k&~Tpo%63_2?R^{;6VYOJ%uFo% zycx@X?^%WZJrNQ^fHW^iM9d@K23OxFfdp}!*e@C!NB260qRhPm6|hR2wd^NXAEQOd z#plmA;ELx<&boV@Fd+R(vG#93UqhdBde%=s2!yW;4ZL4~cjWk~kJN0RodkMDSVrIA z%$(yyieI9!gW%RE*t~x8CN}#m7kBKYM_`5$%130rj|rYf!hUo+j5RpNgKB;cyt-&3 z|90=KB_R^x<#9+m66^8GevAVpJ3_I6no4j~p@|}*bXdr{I5E!iBYE(9R|fYN+mI$7 zlva8{03?J$glFX+_0Yly2r;idUGFf+5$qsC6W31AaN^n@i+V>DDyr`$asysnYsGJL zl;M-DP8IXe+=n_NK4?~ub_X7{` Date: Tue, 11 Jun 2019 15:51:55 -0700 Subject: [PATCH 16/43] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 380fa1c..95c0073 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ The DNAplotlib library is contained within the `dnaplotlib.py` file in the `lib` We provide an extensive gallery of use cases for DNAplotlib in the `gallery` directory. Click on a thumbnail below to go directly to the example code: ### Genetic Designs and Annotation - + From 4ff2d02408d5ff8bf6ff6d50b55a8197f96bf5a2 Mon Sep 17 00:00:00 2001 From: dr3y Date: Tue, 11 Jun 2019 15:52:42 -0700 Subject: [PATCH 17/43] Update README.md --- gallery/all_parts/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gallery/all_parts/README.md b/gallery/all_parts/README.md index 0e65e4f..bcb9f1b 100644 --- a/gallery/all_parts/README.md +++ b/gallery/all_parts/README.md @@ -1,6 +1,6 @@ # SBOL Visual Parts & Customization - + Illustration of all SBOL Visual parts in forward and reverse direction. Each part can have its apperance customised to convay further information. From 96336c2bbc2b8f452c11d462da316020dd5c5a28 Mon Sep 17 00:00:00 2001 From: dr3y Date: Tue, 11 Jun 2019 18:06:05 -0700 Subject: [PATCH 18/43] default ncrna length --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 476cb55..41a1b16 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1712,7 +1712,7 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): color = (0,0,0) start_pad = 0.0 end_pad = 0.0 - x_extent = 6.0 + x_extent = 30.0 y_extent = 6.0 linestyle = '-' # Update default parameters if provided From 9bd4ea72bbfea1cb3590fd26466eef5a7c00d0fd Mon Sep 17 00:00:00 2001 From: dr3y Date: Thu, 13 Jun 2019 15:50:11 -0700 Subject: [PATCH 19/43] made recombinase site bigger --- dnaplotlib/dnaplotlib.py | 8 ++++---- gallery/all_parts/actually_all_parts.png | Bin 144296 -> 144363 bytes 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 41a1b16..b4b3830 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1645,8 +1645,8 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op color2 = (0,0,0) start_pad = 0.0 end_pad = 0.0 - x_extent = 6.0 - y_extent = 6.0 + x_extent = 12.0 + y_extent = 12.0 linestyle = '-' # Update default parameters if provided if opts != None: @@ -1807,8 +1807,8 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op color2 = (0,0,0) start_pad = 0.0 end_pad = 0.0 - x_extent = 6.0 - y_extent = 6.0 + x_extent = 12.0 + y_extent = 12.0 linestyle = '-' # Update default parameters if provided if opts != None: diff --git a/gallery/all_parts/actually_all_parts.png b/gallery/all_parts/actually_all_parts.png index 957b51bff27cab11b51ca654426d00b0405c06c8..7003862aa87a2dcb205004a8fb24d4b33922cc8e 100644 GIT binary patch literal 144363 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12:17:01 -0800 Subject: [PATCH 20/43] don't flip attL/R color? --- dnaplotlib/dnaplotlib.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index b4b3830..81554c3 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1842,17 +1842,19 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op y_lower = -1 * y_extent/2 y_upper = y_extent/2 if start > end: + #this is reverse start = prev_end+end_pad+x_extent+linewidth end = prev_end+end_pad+linewidth final_end = start+start_pad+linewidth - temp = color - color = color2 - color2 = temp + #temp = color + #color = color2 + #color2 = temp else: start = prev_end+start_pad+linewidth end = start+x_extent final_end = end+end_pad+linewidth # Draw the site + #big triangle (the whole thing) p1 = Polygon([(start, y_lower), (start, y_upper), (end,0)], @@ -1863,6 +1865,7 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op hypotenuse2 = hypotenuse / 2 cosineA = (y_extent/2) / hypotenuse f = hypotenuse2 * cosineA + #small triangle p2 = Polygon([(midpoint, -1*f), (midpoint, f), (end,0)], From af301a7cf4d0a6696c16c2644a3bb9b8364674b4 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:07:52 -0700 Subject: [PATCH 21/43] linewidth over 2 --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index ce771a1..1b9832e 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2210,7 +2210,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = linewidth + corr = linewidth/2 if to_part['fwd'] == False: base = -1*startHeight From dc3f0765a89a968d665b89f1c14c13c070058ac2 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:11:34 -0700 Subject: [PATCH 22/43] arrow distance 3/4 --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 9420e09..f8b3bf4 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = linewidth/2 + corr = linewidth*3/4 if to_part['fwd'] == False: base = -1*startHeight From 28a7d2f4b3ebada1122a284bdad587b5bdef0b6c Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:12:52 -0700 Subject: [PATCH 23/43] 1.5x linewidth --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index f8b3bf4..1d59e21 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = linewidth*3/4 + corr = linewidth*1.5 if to_part['fwd'] == False: base = -1*startHeight From 90a9e87a3b87a1c336a3093a9772a88c83c1914f Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:17:35 -0700 Subject: [PATCH 24/43] zero test --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 1d59e21..2a7ade6 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = linewidth*1.5 + corr = 0*linewidth*2 if to_part['fwd'] == False: base = -1*startHeight From 86dbe50ac4e6e35098748d0b3e15a779a2f7b167 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:22:44 -0700 Subject: [PATCH 25/43] revert --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 2a7ade6..81554c3 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = 0*linewidth*2 + corr = linewidth if to_part['fwd'] == False: base = -1*startHeight From 7796a9a7ee92f6ff32898df7f3829d73dc14e7d2 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:25:35 -0700 Subject: [PATCH 26/43] Revert "revert" This reverts commit 86dbe50ac4e6e35098748d0b3e15a779a2f7b167. --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 81554c3..2a7ade6 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = linewidth + corr = 0*linewidth*2 if to_part['fwd'] == False: base = -1*startHeight From f1316448064c96fae66c2a20dfcffbbb91702fd4 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:27:41 -0700 Subject: [PATCH 27/43] testtt --- dnaplotlib/dnaplotlib.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 2a7ade6..cc4386c 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2422,6 +2422,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ base = startHeight; indHeight = arrowhead_length corr = 0*linewidth*2 + if to_part['fwd'] == False: base = -1*startHeight @@ -2449,7 +2450,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ ax.add_line(line_away) ax.add_line(line_across) ax.add_line(line_toward) - + print(corr) if(type == 'Activation'): ax.add_line(line_ind1) ax.add_line(line_ind2) From 8625a559fce73304e3f69037d5a14873293d9058 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:29:45 -0700 Subject: [PATCH 28/43] space a bit --- dnaplotlib/dnaplotlib.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index cc4386c..5cdc297 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = 0*linewidth*2 + corr = .25*linewidth if to_part['fwd'] == False: @@ -2450,7 +2450,6 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ ax.add_line(line_away) ax.add_line(line_across) ax.add_line(line_toward) - print(corr) if(type == 'Activation'): ax.add_line(line_ind1) ax.add_line(line_ind2) From 42eec90804a4a7cbf93d826b37932398f20e2254 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:31:30 -0700 Subject: [PATCH 29/43] back to half!! --- dnaplotlib/dnaplotlib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 5cdc297..bf03c9e 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = .25*linewidth + corr = .5*linewidth if to_part['fwd'] == False: From 36f2e153e9afd8e57911bad3d9125b7d89e6739d Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:35:08 -0700 Subject: [PATCH 30/43] moveitabit --- dnaplotlib/dnaplotlib.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index bf03c9e..d5644d6 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = .5*linewidth + corr = .75*linewidth if to_part['fwd'] == False: @@ -2429,7 +2429,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ arcHeightEnd = -arcHeightEnd top = -1*arcHeight indHeight = -1*arrowhead_length - corr *= -1 + corr *= -1.0 line_away = Line2D([start,start],[base,top], From b5384542f01f66db45d3d22bae571a0f617141a2 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:36:21 -0700 Subject: [PATCH 31/43] Revert "moveitabit" This reverts commit 36f2e153e9afd8e57911bad3d9125b7d89e6739d. --- dnaplotlib/dnaplotlib.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index d5644d6..bf03c9e 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = .75*linewidth + corr = .5*linewidth if to_part['fwd'] == False: @@ -2429,7 +2429,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ arcHeightEnd = -arcHeightEnd top = -1*arcHeight indHeight = -1*arrowhead_length - corr *= -1.0 + corr *= -1 line_away = Line2D([start,start],[base,top], From 4d26c79a9e2a898b34352bbb7680968f1a9861c9 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 14 Apr 2020 16:38:51 -0700 Subject: [PATCH 32/43] move tiny bit --- dnaplotlib/dnaplotlib.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index bf03c9e..e93015d 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2421,7 +2421,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ top = arcHeight; base = startHeight; indHeight = arrowhead_length - corr = .5*linewidth + corr = .4*linewidth if to_part['fwd'] == False: @@ -2429,7 +2429,7 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ arcHeightEnd = -arcHeightEnd top = -1*arcHeight indHeight = -1*arrowhead_length - corr *= -1 + corr *= -1.0 line_away = Line2D([start,start],[base,top], From 5af17753d90085c970c08b8664df571314f856b2 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Wed, 15 Apr 2020 15:16:38 -0700 Subject: [PATCH 33/43] dont change color for reverse integrase site --- .vscode/settings.json | 3 +++ dnaplotlib/dnaplotlib.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 .vscode/settings.json diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..079583a --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + "python.pythonPath": "C:\\Users\\andrey\\Anaconda3\\python.exe" +} \ No newline at end of file diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index e93015d..0caac0c 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -1680,7 +1680,7 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op end = prev_end+end_pad+linewidth final_end = start+start_pad+linewidth #temp = color - color = color2 + #color = color2 #color2 = temp else: start = prev_end+start_pad+linewidth From e0ded1f9e14bfbef39406890bfa7d7692357221f Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Thu, 7 May 2020 11:46:44 -0700 Subject: [PATCH 34/43] circular flag in renderDNA --- dnaplotlib/dnaplotlib.py | 23 +- gallery/notebooks/interactiveplot.ipynb | 533 ++++++++++++++++++++++++ 2 files changed, 551 insertions(+), 5 deletions(-) create mode 100644 gallery/notebooks/interactiveplot.ipynb diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 0caac0c..bf140c7 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -52,7 +52,7 @@ import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt -from matplotlib.patches import Polygon, Ellipse, Wedge, Circle, PathPatch +from matplotlib.patches import Polygon, Ellipse, Wedge, Circle, PathPatch, FancyBboxPatch from matplotlib.path import Path from matplotlib.lines import Line2D from matplotlib.patheffects import Stroke @@ -2969,7 +2969,7 @@ def std_reg_renderers (self): 'Activation' :induce, 'Connection' :connect} - def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True): + def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False): """ Render the parts on the DNA and regulation. Parameters @@ -3222,9 +3222,22 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p reg_num += 1 # Plot the backbone (z=1) if plot_backbone == True: - l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], - linewidth=self.linewidth, color=self.linecolor, zorder=10) - ax.add_line(l1) + if(circular): + circ_start = first_start-self.backbone_pad_left + circ_end = prev_end+self.backbone_pad_right + vheight = 5 #this is the height of the oval. + curves = (circ_end-circ_start)*.1 #curves are 5% of the length, lengthwise + plasmid = FancyBboxPatch((circ_start-curves, -curves*2), \ + (circ_end-circ_start)+curves*2, curves*2,\ + fc="none",ec=self.linecolor, linewidth=self.linewidth, \ + boxstyle='round,pad=0,rounding_size={}'.format(curves), \ + joinstyle="round", capstyle='round',mutation_aspect=1, zorder=5) + ax.add_patch(plasmid) + else: + l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], + linewidth=self.linewidth, color=self.linecolor, zorder=5) + + ax.add_line(l1) return first_start, prev_end def annotate (self, ax, part_renderers, part, annotate_zorder=1000): diff --git a/gallery/notebooks/interactiveplot.ipynb b/gallery/notebooks/interactiveplot.ipynb new file mode 100644 index 0000000..9260295 --- /dev/null +++ b/gallery/notebooks/interactiveplot.ipynb @@ -0,0 +1,533 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "

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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "#import sys\n", + "import dnaplotlib as dpl\n", + "import matplotlib.pyplot as plt\n", + "#import matplotlib.transforms as mtransforms\n", + "#import matplotlib.patches as mpatch\n", + "#from matplotlib.patches import FancyBboxPatch\n", + "import numpy as np\n", + "from bokeh.models import (Plot , Range1d)\n", + "#bokeh.io.output_notebook()\n", + "\n", + "%matplotlib inline\n", + "dnaline = 3\n", + "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline)\n", + "part_renderers = dr.SBOL_part_renderers()\n", + "parts = list(part_renderers.keys())+[['EmptySpace','circular test']]+['EmptySpace']*5\n", + "dontrender = ['StemTop']\n", + "fig1 = plt.figure(figsize=(14,14))\n", + "faxes = fig1.subplots(ncols=6,nrows=7)\n", + "raxes = np.ravel(faxes)\n", + "#print(raxes)\n", + "raxind = 0\n", + "\n", + "for part in parts:\n", + " if(part in dontrender):\n", + " continue\n", + " if(type(part)==list):\n", + " circMake = True\n", + " part = part[0]\n", + " partlabel = \"circular=True\"\n", + " else:\n", + " circMake = False\n", + " partlabel=part\n", + " ax = raxes[raxind]\n", + " raxind+=1\n", + " #plt.Figure(figsize=(.1,.1))\n", + " #ax = plt.gca()\n", + " design = [{'type':part, 'name':'test', 'fwd':True,\\\n", + " 'opts':{'label':partlabel,'label_size':13,'label_y_offset':-8,'color':(.5,.5,.2)}},\n", + " {'type':part, 'name':'testr', 'fwd':False,'opts':{'color':(.2,.5,.5)}}]\n", + " start,end = dr.renderDNA(ax,design,part_renderers,circular=circMake)\n", + " ax.axis('off')\n", + " xdist = end-start\n", + " delta = xdist*.2\n", + " start-=delta\n", + " end+=delta\n", + " newxdist = end-start\n", + " ax.set_xlim([start,end])\n", + " ax.set_ylim([-newxdist/len(design),newxdist/len(design)])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
\n", + " \n", + " Loading BokehJS ...\n", + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "\n", + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + " var JS_MIME_TYPE = 'application/javascript';\n", + " var HTML_MIME_TYPE = 'text/html';\n", + " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " var CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " var script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " var cell = handle.cell;\n", + "\n", + " var id = cell.output_area._bokeh_element_id;\n", + " var server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " var id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " var output_area = handle.output_area;\n", + " var output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " var bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var script_attrs = bk_div.children[0].attributes;\n", + " for (var i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " var toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + "\n", + " \n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " var NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " var el = document.getElementById(\"5563\");\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };var element = document.getElementById(\"5563\");\n", + " if (element == null) {\n", + " console.error(\"Bokeh: ERROR: autoload.js configured with elementid '5563' but no matching script tag was found. \")\n", + " return false;\n", + " }\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n", + " var css_urls = [];\n", + "\n", + " var inline_js = [\n", + " function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + " \n", + " function(Bokeh) {\n", + " \n", + " },\n", + " function(Bokeh) {} // ensure no trailing comma for IE\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " \n", + " if ((root.Bokeh !== undefined) || (force === true)) {\n", + " for (var i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }if (force === true) {\n", + " display_loaded();\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " var cell = $(document.getElementById(\"5563\")).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + "\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"5563\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };var element = document.getElementById(\"5563\");\n if (element == null) {\n console.error(\"Bokeh: ERROR: autoload.js configured with elementid '5563' but no matching script tag was found. \")\n return false;\n }\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n var css_urls = [];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"5563\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'xs': [[[[1, 1, 2, 2]]], [[[1, 1, 3], [1.5, 1.5, 2]]], [[[2, 2, 4, 4], [2.5, 2.5, 3], [3.5, 3, 3]], [[3.5, 3.5, 4]]]], 'ys': [[[[4, 3, 3, 4]]], [[[1, 3, 1], [1.5, 2, 1.5]]], [[[2, 4, 4, 2], [3, 3.5, 3.5], [2.5, 2.5, 3]], [[1, 1.5, 1.5]]]]}\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function embed_document(root) {\n", + " \n", + " var docs_json = {\"771b0d00-1823-44b1-8ed9-a8f167ce7a2f\":{\"roots\":{\"references\":[{\"attributes\":{\"min_border\":0,\"plot_height\":300,\"plot_width\":300,\"renderers\":[{\"id\":\"5569\",\"type\":\"GlyphRenderer\"}],\"title\":null,\"toolbar\":{\"id\":\"5572\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5764\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"5765\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"5768\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"5766\",\"type\":\"LinearScale\"}},\"id\":\"5565\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"5764\",\"type\":\"DataRange1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5571\",\"type\":\"HoverTool\"}]},\"id\":\"5572\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"data\":{\"name\":[\"ooga\",\"booga\",\"dooga\"],\"xs\":[[[[1,1,2,2]]],[[[1,1,3],[1.5,1.5,2]]],[[[2,2,4,4],[2.5,2.5,3],[3.5,3,3]],[[3.5,3.5,4]]]],\"ys\":[[[[4,3,3,4]]],[[[1,3,1],[1.5,2,1.5]]],[[[2,4,4,2],[3,3.5,3.5],[2.5,2.5,3]],[[1,1.5,1.5]]]]},\"selected\":{\"id\":\"5770\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"5769\",\"type\":\"UnionRenderers\"}},\"id\":\"5564\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"renderers\":[{\"id\":\"5569\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"name\",\"@name\"]]},\"id\":\"5571\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"5769\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"5770\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"5564\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"5567\",\"type\":\"MultiPolygons\"},\"hover_glyph\":{\"id\":\"5568\",\"type\":\"MultiPolygons\"},\"muted_glyph\":null,\"view\":{\"id\":\"5570\",\"type\":\"CDSView\"}},\"id\":\"5569\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"5765\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"5766\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"5564\",\"type\":\"ColumnDataSource\"}},\"id\":\"5570\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_color\":{\"value\":\"grey\"},\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"5567\",\"type\":\"MultiPolygons\"},{\"attributes\":{\"fill_color\":{\"value\":\"blue\"},\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"5568\",\"type\":\"MultiPolygons\"},{\"attributes\":{\"callback\":null},\"id\":\"5768\",\"type\":\"DataRange1d\"}],\"root_ids\":[\"5565\"]},\"title\":\"Bokeh Application\",\"version\":\"1.3.4\"}};\n", + " var render_items = [{\"docid\":\"771b0d00-1823-44b1-8ed9-a8f167ce7a2f\",\"roots\":{\"5565\":\"c6a473c8-1b3f-4813-b7a2-abb545279d05\"}}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + "\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " var attempts = 0;\n", + " var timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " clearInterval(timer);\n", + " }\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " clearInterval(timer);\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], + "application/vnd.bokehjs_exec.v0+json": "" + }, + "metadata": { + "application/vnd.bokehjs_exec.v0+json": { + "id": "5565" + } + }, + "output_type": "display_data" + } + ], + "source": [ + "from bokeh.io import curdoc, show\n", + "import bokeh.io\n", + "from bokeh.models import ColumnDataSource, Grid, LinearAxis, MultiPolygons, Plot, GlyphRenderer, HoverTool\n", + "bokeh.io.output_notebook()\n", + "xs_dict = [\n", + " [ {'exterior': [1, 1, 2, 2], 'holes': [ ]} ],\n", + " [ {'exterior': [1, 1, 3], 'holes': [ [1.5, 1.5, 2] ]} ],\n", + " [ {'exterior': [2, 2, 4, 4], 'holes': [ [2.5, 2.5, 3], [3.5, 3, 3] ]},\n", + " {'exterior': [3.5, 3.5, 4], 'holes': [ ]} ]\n", + "]\n", + "\n", + "ys_dict = [\n", + " [ {'exterior': [4, 3, 3, 4], 'holes': [ ]} ],\n", + " [ {'exterior': [1, 3, 1], 'holes': [ [1.5, 2, 1.5] ]} ],\n", + " [ {'exterior': [2, 4, 4, 2], 'holes': [ [3, 3.5, 3.5], [2.5, 2.5, 3] ]},\n", + " {'exterior': [1, 1.5, 1.5], 'holes': [ ]} ]\n", + "]\n", + "ys_dict2 = [\n", + " [ {'exterior': [4, 3, 3, 4], 'holes': [ ]} ],\n", + " [ {'exterior': [1, 3, 1], 'holes': [ [1.5, 2, 1.5] ]} ],\n", + " [ {'exterior': [2, 9, 4, 2], 'holes': [ [3, 3.5, 3.5], [2.5, 2.5, 3] ]},\n", + " {'exterior': [1, 1.5, 1.5], 'holes': [ ]} ]\n", + "]\n", + "xs = [[[p['exterior'], *p['holes']] for p in mp] for mp in xs_dict]\n", + "ys = [[[p['exterior'], *p['holes']] for p in mp] for mp in ys_dict]\n", + "print(dict(xs=xs, ys=ys))\n", + "source = ColumnDataSource(dict(xs=xs, ys=ys,name=[\"ooga\",\"booga\",\"dooga\"]))\n", + "\n", + "plot = Plot(\n", + " title=None, plot_width=300, plot_height=300,\n", + " min_border=0, toolbar_location=None)\n", + "\n", + "glyph = MultiPolygons(xs=\"xs\", ys=\"ys\", line_width=2,fill_color=\"grey\")\n", + "selglyph = MultiPolygons(xs=\"xs\", ys=\"ys\", line_width=2,fill_color=\"blue\")\n", + "g1 = plot.add_glyph(source, glyph)\n", + "g1.hover_glyph = selglyph\n", + "\n", + "hover1 = HoverTool(tooltips=[(\"name\",\"@name\")],renderers=[g1])\n", + "\n", + "plot.add_tools(hover1)\n", + "#help(plot)\n", + "xaxis = LinearAxis()\n", + "#plot.add_layout(xaxis, 'below')\n", + "\n", + "yaxis = LinearAxis()\n", + "#plot.add_layout(yaxis, 'left')\n", + "\n", + "#plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))\n", + "#plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))\n", + "\n", + "show(plot)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.4 64-bit ('base': conda)", + "language": "python", + "name": "python37464bitbaseconda4bf18afa65be4bc0b1df4a316a30f53b" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4-final" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} \ No newline at end of file From 0a0a20c1143a48257362d297fc4f0d55aa2c36f6 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Thu, 7 May 2020 16:10:14 -0700 Subject: [PATCH 35/43] plasmids are a constant height --- dnaplotlib/dnaplotlib.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index bf140c7..549f473 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2969,7 +2969,7 @@ def std_reg_renderers (self): 'Activation' :induce, 'Connection' :connect} - def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False): + def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False,circle_vheight=12): """ Render the parts on the DNA and regulation. Parameters @@ -3225,14 +3225,16 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p if(circular): circ_start = first_start-self.backbone_pad_left circ_end = prev_end+self.backbone_pad_right - vheight = 5 #this is the height of the oval. + circle_vheight #this is the height of the oval. curves = (circ_end-circ_start)*.1 #curves are 5% of the length, lengthwise - plasmid = FancyBboxPatch((circ_start-curves, -curves*2), \ - (circ_end-circ_start)+curves*2, curves*2,\ + plasmid = FancyBboxPatch((circ_start-circle_vheight/2, -circle_vheight), \ + (circ_end-circ_start)+circle_vheight, circle_vheight,\ fc="none",ec=self.linecolor, linewidth=self.linewidth, \ - boxstyle='round,pad=0,rounding_size={}'.format(curves), \ + boxstyle='round,pad=0,rounding_size={}'.format(circle_vheight/2), \ joinstyle="round", capstyle='round',mutation_aspect=1, zorder=5) ax.add_patch(plasmid) + first_start = first_start-circle_vheight/2 + prev_end = prev_end+circle_vheight/2 else: l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], linewidth=self.linewidth, color=self.linecolor, zorder=5) From c688bb477fbfb42d6f5276274057a0d44f1e870b Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Fri, 8 May 2020 11:55:59 -0700 Subject: [PATCH 36/43] edge color --- dnaplotlib/dnaplotlib.py | 36 ++++++++++++++++--------- gallery/notebooks/interactiveplot.ipynb | 12 +++++---- 2 files changed, 31 insertions(+), 17 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 549f473..a686898 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -217,8 +217,8 @@ def sbol_cds (ax, type, num, start, end, prev_end, scale, linewidth, opts): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - if 'edge_color' in list(opts.keys()): - edgecolor = opts['edge_color'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding dir_fac = 1.0 @@ -448,8 +448,8 @@ def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] - if 'edge_color' in list(opts.keys()): - edgecolor = opts['edge_color'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding dir_fac = 1.0 final_end = end @@ -499,8 +499,8 @@ def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): x_extent = 5.0 y_extent = 10.0 linestyle = '-' - linetype = ""; - shapetype = ""; + linetype = "" + shapetype = "" if(type == "Ribozyme"): linetype = 'dash' headgroup = 'O' @@ -1648,6 +1648,7 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op x_extent = 12.0 y_extent = 12.0 linestyle = '-' + edgecolor = (0,0,0) # Update default parameters if provided if opts != None: if 'start_pad' in list(opts.keys()): @@ -1668,6 +1669,8 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op color = opts['color'] if 'color2' in list(opts.keys()): color2 = opts['color2'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding final_end = end final_start = prev_end @@ -1690,7 +1693,7 @@ def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, op p1 = Polygon([(start, y_lower), (start, y_upper), (end,0)], - edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, path_effects=[Stroke(joinstyle="miter")]) ax.add_patch(p1) # Add a label if needed @@ -1715,6 +1718,7 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): x_extent = 30.0 y_extent = 6.0 linestyle = '-' + edgecolor = (0,0,0) # Update default parameters if provided if opts != None: if 'start_pad' in list(opts.keys()): @@ -1733,6 +1737,8 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): scale = opts['scale'] if 'color' in list(opts.keys()): color = opts['color'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding final_end = end @@ -1782,7 +1788,7 @@ def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): [wave_end,0] ], codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) - wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=(0,0,0), + wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=edgecolor, facecolor=color, zorder=12, linestyle='-') ax.add_patch(wavy_rna) @@ -1810,6 +1816,7 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op x_extent = 12.0 y_extent = 12.0 linestyle = '-' + edgecolor = (0,0,0) # Update default parameters if provided if opts != None: if 'start_pad' in list(opts.keys()): @@ -1836,6 +1843,8 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op g2 = float(color[1]) / 2 b2 = float(color[2]) / 2 color2 = (r2,g2,b2) + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding final_end = end final_start = prev_end @@ -1858,7 +1867,7 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op p1 = Polygon([(start, y_lower), (start, y_upper), (end,0)], - edgecolor=(0,0,0), facecolor=color, linewidth=linewidth, zorder=11, + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, path_effects=[Stroke(joinstyle="miter")]) midpoint = (end + start) / 2 hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) @@ -1869,7 +1878,7 @@ def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, op p2 = Polygon([(midpoint, -1*f), (midpoint, f), (end,0)], - edgecolor=(0,0,0), facecolor=color2, linewidth=linewidth, zorder=12, + edgecolor=edgecolor, facecolor=color2, linewidth=linewidth, zorder=12, path_effects=[Stroke(joinstyle="miter")]) ax.add_patch(p1) ax.add_patch(p2) @@ -2220,6 +2229,7 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) x_extent = 8.0 y_extent = 4.0 linestyle = '-' + edgecolor = (0,0,0) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): @@ -2240,6 +2250,8 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] # Check direction add start padding final_end = end @@ -2253,7 +2265,7 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) (start, -y_extent), (start+x_extent, -y_extent), (start+x_extent, y_extent)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) bits = 5.0 @@ -2266,7 +2278,7 @@ def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts) (x_inset_start, -y_extent+gap_size), (x_inset_end, -y_extent+gap_size), (x_inset_end, y_extent-gap_size)], - edgecolor=(0,0,0), facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, + edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) ax.add_patch(p1) diff --git a/gallery/notebooks/interactiveplot.ipynb b/gallery/notebooks/interactiveplot.ipynb index 9260295..a8e4d3f 100644 --- a/gallery/notebooks/interactiveplot.ipynb +++ b/gallery/notebooks/interactiveplot.ipynb @@ -2,15 +2,15 @@ "cells": [ { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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NRTWMrQ9ViUiu3QtcB4yq2LSJ2ePHs/uVV9K6c8MsSrpx9Wpmjx+Pl1Wu0TMVdeaRnYASHJH81TrXAezs3P2o2vaZ2eHAG8CJ7v5xLceMA8rc/apq29sTkqIfuPsDZtaJ0Cjg89UuUUZoJlDnDwTuvsDMjgSeB/artrvY3Xev67VEJL+5+0YzOwt4B+i0sbiYaXfeybALLtjhkZz1n33GrPHj2bR6dWbTKuBsdy/bymkiTULr4IjkmVQcd03F8a+A87dy2JupOD66qWJqpoqS/+5Wj3P7J/9dDuDua4HXazju0e1JbjLcfSnwOeA/9YhNRFoQd/+I0FGzHGBjcTHT7riDT196ifING7Z+cg3KSkr45MUXmXbnndnJTRnwJXdvyhFkkVppBEckj6Ti+Bzgr0DPbRzaD3g1FcdPAl9OR9HaRg+umUnKwWYBFxLmvWyP84ES4O1a9q8B3gM61bK/LvEVJ93VHgdOqu91RCT/ufuTZnYmoXysk5eVsfj111k2aRI999uPHnvtRft+/TCreUqGu7P+s89YMXUqy99/n/KSKs1RVhNaxj/f+D+JSN0owRHJE6k4PoOwfkphZlvfrl05eOhQRu+2GxcecgivTZ/OBwsWUFZR2Q75DODJVByfmo6i7b+Vl/+uBp42syXAn939MzPrA1wJzKl+cLLvQuDHhG5oxcn2PwAdksOWAz8idEz71Y4E5+7rzewM4H7g3B25lojkN3efYGYHAfcBBwKUrV/PkjffZMmbb9KqY0fa9+lDu169KGzfHtwp37CBDUVFlBQVUbZuXU2XfRe4WCM3srNRgiOSB1JxvDfwCEly069rV775+c9z/OjRFCR35Ab36sWXDjmExatWcesrr/DMB5VdPI8lrL1yaQ5C36m5+4vJpP6fAP81szaEhgITgLuBk4FLzewCoIJwJ3MicIa7Z8/+LwC+SGgC0Bb4DvB74P8aIMaNZnZh8txn7ej1RCR/ufvHSZLzJeCXQOWKwWXr1rFm7lzWzJ1bl0vNA34APFK9rb3IzkAJjkh++A7QBmBAjx7cftll9KqlS07frl2JzzyTIb168eeXXspsvigVxz9JR9HCpgm3+XD3NFDbEuCXJV/busZ3zOxd4E13n9dgwW2+frmZfYUaRpVERLK5ewVwv5k9Qmh8cgHhb9y2WqutJjRLeQh42d03NWqgIjtACY5IM5eK4x6Eu3EAjD3zzFqTm2yXHXEEb8+eTXrePAgjP18nlFZJI3D3Bxv5+g7c2JjPISL5w903As8Cz5pZITAE2BMYSSipdUI3yBnAh8B8rW8jzUWz6qJmZq+aWamZrTWzVWb2npmdneu4siUx/iTXcUiLsgdhjRUG9uzJPv37b+PwzU7fr0qX4f0bNiwRkZajhs8o75vZubXsX2tms8zsO9Wusb+ZPWdmRWa2xszmmNmdjR27u5e7+yx3f8rdf+/uN7j7z939/9z9aXefo+RGmpNmleAkfu7unQhdoh4CHjazkdkHWNBsR6fMTOuXyPZon/mmd+fOtXbBqUnPTlWaeLWv7TgREamT7M8o44AHzWx49f3JMV8Gfpl0QyRZL+tF4FXC3JiuwPGEifwish2aY4IDQLKQ1F8IpTV7m5mb2bfNLE0YUk2ZWSsz+1lyB2SFmb1kZntlrmFm48zsPjO7y8yKzexTM7vQzPYzs4nJ3ZNXzGzXrHN6mtm9ZrbIzBab2T1m1iPZ92fgSOCnyd2Z6VnnfcXMpmaNPJ2QtW+smb1sZr9PujU9ta2fPxXHbXf8X1Gau1QcDwJ+mnk8a8mS7A5p2zQplKdlLGuwwEQEADOLzezRXMchTSv5jHI7YSpA9QV5M8e8DXwEZD6XjCIkRje7e4m7V7j7bHe/rSliFsknzTbBSboZXQNsAjLtoK4krD/RibDGxP8ClwCnENb9eB140cy6ZF3qHMI6Ej2AnxP+IN1A6Hi0C6EGdWzW8Q8A3Ql1qnsAvQgtF3H3bybPkblDMyqJ9avA94GLknN/DPy92l2do4BFwACg1rK7VBwPTcXxb4FZ2/5XapnM7CdJwnvJdp43zszuaKy4GlIqjkem4vhuwuvgqMz2VSUlTP3kkzpdo3j9eh6ZODF70z8aNEiRHMkqAVprZpuSr8ptTRmLu0fu3mAtvM1sfHIzTXZiyWeUbyQPt2ihnFSaHA7sDryVddwS4FEzO9/MhjVJsCJ5qDmWcf3YzK4DNhI+3J3t7rOSspzfu/vs5LhyM7sc+I27TwMwsxuAq4BTCeVtEDqBPJPsvxe4FbjP3T9Jtj0GfCX5flfgRGCku69Mtn0PmGZm/dx9US0xfwu4wd0zidizZvYKoXPJL5JtC9w90zJ2Y/bJqTguJCzkdzWhLa0RFhGUasysgJDorgC+Btyb24h2TCqO25Zt2HBqq3bt9iSsFN2KMFfmi4TXQaXhffrQu3NnbpwwgS8feiin77dfreVqC5Yv53vjx7OutDSzaRphDR2RZi8p/wEguWnRyt0v25FrmlnrfOkalU8/y04o8xmlM+EG7FXuPqWG/W0IZcG3kZSgufsaMzsY+B4QAaPM7FPgF+7+t6b8IUSau+Y4gvNLd+/m7n3c/TB3fzpr37xqxw4gq21q0hpxXrI9Y1HW/vXVtxHK3TItqTLnZTeJn11tX02GALckZXDFZlYMfA7YbSuxk4rjXqk4vh6YSVh34xSqfaiVLZwI9CeM3B1WrSTRzew7ycTPTPnh8GTf9YQRtkuz7vQWmtm+ZvaamS0zs5XJ5M9hWdesT5ljh6QccW5SOvnP7NE8CxNR/9i2e/d337vxxg3LJk58nDC6+Kvkv2eR9TrYo18/Dh02jJXr1/PW7NnMKSrihqee4sq77+bxdJrla9fi7pSVl/P+ggX85plnuPj225m3rEpF2k/SUaQJpNJimFknM/uTmc0zs+Vm9oyZDc7a/7aZ/c7MJpjZGuAaM/t6Umr8fTP7LCk5/qWZ9Tazp8xstZl9mHxIzVzn12Y2IevxYjO7Pvm7stbMPrCwLklm/0nJ345iM1tqZg+YWc9k308JI/xfTc7NLCRrFkq0ZyTnvWlmh1aL4bnk511KWDNLGscv3b0bobrjWcI6Y1vsd/cOhM8NewJ3ZXa6+3x3/7a770moLLkFuM3Mql9HRLaiOY7gbE31yQcLCckFUHl3f3CyvT4y5w1mc4nY0Gr7apoAMR+I3H1rddgVAKk4NuAgwmjN+YRFAaXuvgY85+7PmNkHwFcJI2gZXwW+AHwK/A54ysz2dvffmtmeQJm7X5U52MwyJYpvEjqV3UFYNf7QrGuek3xdlVz/duBlwijLCkJyOjbZR3KNLsAhwEpCyeKEJI5NAFZQ8LVBX/hCu85DhuCbar7Runf//nRs25aPP/uMjxdtOXg4ZeFCpixcyK+eeQYj1FrWYANweTqKHq95t0jeupdwo2AMsIpQmvyUme2f1S3qSuAM4HTC3fZLCPMkCoFBhLkVbxFuWH2L8Dv/O8LfgH228txXENYdmQX8P+BOYO9kXwmhZfsHhDLpxwiLwl7u7j83s9HAsqQkOuMy4IfAacl5XwFeMLNR7v5ZcszxhL9FuwFqZNPI3H2lmV0FzDazM9z9yRqO+cTCWjS/ooaFlt19FfCb5AbcfoT3FRGpg+Y4grM9xgHXm9lIC/WwPyYkdc/U52LJG8ULwP+ZWTcz605Yify5rPK0xcDwaqfeBIxN7uqbmbU3syPMbPfKI8wKUnF8BWEV9LcJb6RKbrZDMkpyKpvvht0FXGxm2d3B/i9phVkCXA8MAw6mFu4+xd1fcffS5M0mBg4xs45Zh73s7s8kI4T3Ah1JyhyTUcHHCB+iMLNewIXA1e6+JFmHICbMETs4+UEKuo8e7V2GDsXM6N29OxcefDDnjRlD365d2X/gQA4eOpQ5S5fy9uzZrCqpUq1YTLUSR6g1uZkHHJ2OIpWmSYtiZv0JycjX3b0o+T38MTCCqu3Sx7v76x5kRviLgV+5+yZ3n0iYJP6Wu6eTxOh+YC8za7eVEG5x92nJRPQ7gdGZ4939NXef5O5l7v4p4T3muG38SJcn10wncf2FkDydn3XMDHe/Jdm/vubLSENy9xXAH4AbkxusVZhZX+BcknnEZra7mf3YzEYkFQTtzOwbQDfgP00Zu0hzl+8Jzu8Ic21eIEzcOxY4wd1X78A1vwysIcxZmEZ4s8uezH4ToYNbsZl9CODutwO/Be4m3LFfQOh81ToVx8N77L33CZ0GDTqS8EZ34A7E1tJl5t5kykHuJ9x1zX6Tn5f5JnmTLyKUtNXIzIaZ2d+T0rPVbH6T6ZV12PaUOWZGFKfY5nLFFYQ7qgMACtu169K2Z8/2AF3bt+fhq6/mf046ietPOYWnv/1titas4Z05c1i3sUoeM5dw17dvOoraArsS7ii/xeb5WhWEBPxvwDHAsHQUqf2otESZ38PpWb+Hy5NtA7OOm1fDuUuSRVUz1rPl77sRmt3UJvv4ddnHm9khZvaimS1J/uaMA3pv/cepWo6dmE3V0ul527iGNI4/EW5gZT4nZLqsriUkNkvYvFDzGkLJ2guEUcVPgYuB89z9nSaNWhqMmQ01s0eT8tS1ZrbQzJ5IbrxLI2lWJWrufsxW9m0xNyUp94mSr5rOuWxb13H3cYQ3mMzjIkKSU1scE9nc8jF7+z3APZnHqTg+hpCAnTjk7HqtVdo+Fce13JhveZK7Y1cR7nR9Ypsn1xcSSsPGJY8HZ53TgfDBIdN2rKbywr8CnwH7uPtyC3N6/kv950LNT/47Inkt1fSzWCb+zu3a0bnd5hvBG8vLWbu5MUDGJcBD6Sgqy2xIR9Ei4Obki1QctwLK01Gk14xI+D10YOA2bnjVved6w3mUcLPrrGTS+TmEmzVbi6lKOXZiKFXv+ufiZ2lRavqMkry+eiQPx23j/E8Jc0ElvzxLSFpHAasJZaKn0cBzqk3NQ6poVglOnplIaE/dF9g3x7Hkg5MIIzEHEe56ZewDPG9mmfr275rZq8kxvybc9czcGVtMKD8rSMrNIMyVmQkUJ+VlN+xIkO6+1MweBP5iZt9x90/NrBuhhv9Fd19bXlq6Nvkj1fqTlSu59v77OWfMGMorKnjo7bcpXl+luqRrOoq2OSKZnfyItHTuvsDMngBuNbPr3H1RUnJ8HDDB3TfkIq7kzkZnYFWS3AwhLHeQbTGwh5lZ1kjSOMKCkc8QbsBcRSi3UzMBkRxKGoSMItywWJVs/oRw8zRzzFnAjwi/syXAne7+46SU9g5CZU8bYArwHXeflJw3lrBMxGTCSN9kQqddIf9L1HZa6Shal46i2wn13ocDDxJaSkr9fA34R1K7vjjr6wVCmdbXkuPuAP5OKE3bFzgja0LxHYT5M8uTspVC4LuExVtXE9Y4msCO+wowHXjVQnem/xLqsB3Ay8s3la5Y8Xbm4HfnzuX6Rx7hh489xpSqa9xcX5fkRkRqdCnhg8Ybye/h+4SGAjkb5UwSlquAa5MSpvHAw9UO+yth5HmFmWVaId5NKIN+lFBqdylwUjIiICI54u7LgQ+BO8zsEjPbs7JEAzCzkwnVPWMJi7yOBJ5LdhcQFrQfRLgZPpmwhmJ2k5A6raHYElnVUmLJpVQc9yHMI/k6VevAa1KSjqIOjR9V/kg6oh3p7m/kOpZtSUrKfg98u5ZDIuDnKjkTkR2RXeqcjiItQyDSwJLqj+8RKk32IszdvpmwDuIzwIfuXn2ktqbrdCbcbB3t7h8lIziXuPvQrZ/ZMinB2QklC3ueClwDnFDLYUpwtlNzSnAyUnF8AGEC6t6EO8uTgQfSUfRhTgMTkZ1OLuZlKikSqbtk7u95hFbyXwOuA25KmlFVP7YXoQvfMYT5xRVAV+AYd38tU6Lm7lojqQaag7MTShZcfAp4KhXHI4BvENqAdstpYNLk0lE0mZDUiIiISDOWdFodZ2bXEtY2mkeYe1OTX5EsIZHME8yM4GTfVFDzkFpoDs5OLh1FM9NR9D1C142rgPdyHFKz5e7WnEZvREREpPkys+5m9isz28vMWptZKzM7m1Cq9jpwC/B1Mzs52dfFzA5PTu9CaDu/0sw6Ab/JzU/RPGkEp5lIR9F64M5UHN9F6BR2ZY5DEhGRnYjKxYxQsYsAACAASURBVER2OhuBPoTmRv2AMsKozbXu/iiAmV0F3EhoKLKO0PDoP4S5tncTGocsAX5GWPZC6kBzcEREREREJG+oRE1ERERERPKGEhwREREREckbSnBERERERCRvKMEREREREZG8oQRHRERERETyhhIcERERERHJG0pwREREREQkbyjBERERERGRvKEER0RERERE8oYSHBERERERyRtKcEREREREJG8owRERERERkbyhBEdERERERPKGEhwREREREckbSnBERERERCRvKMEREREREZG8oQRHRERERETyhhIcERERERHJG0pwREREREQkbyjBERERERGRvKEER0RERERE8oYSHBERERERyRtKcEREREREJG8owRERERERkbyhBEdERERERPKGEhwREREREckbSnBERERERCRvKMEREREREZG8oQRHRERERETyhhIcERERERHJG0pwREREREQkbyjBERERERGRvKEER0RERERE8karXAcgItJcxHHKgAuBy4DjqNtNoiLgUeBPUZSe0XjRiUguJH8X3gQOydr8B+CHUZTeuAPXvQi4DeiYbFoNjIqi9OL6XlOkpTB3z3UMIiI7vThO9QTuBM6o5yXWA9cCd0dRWn94RfJIHKcOA8YDA7I2vwOcH0Xp+dt5rQ7A/wOuzNpcSvj7cYf+fohsmxIcEZFtiOPUCOB5YEj29oED92evvU5kxIjD6dChG4WFrdm4cT3Ll89n6tQX+PDDF1m7dln1y/0FuDaK0hVNFL6INIHkJsg9wKlZm4uBy6Io/WQdr7E7YcR3r6zNM4Dzoij9QUPFKpLvlOCIiGxFHKe6AxOBYZltY8acxxFHXEqXLrts9dyKinLmz5/Ms8/+lmXL5la5bBSlxzZGvCKSO3GcKgC+B/yKqtMAbgJ+sLWStThOXQzcyuaSNIAHga9HUXpNI4QrkreU4IiIbEUcp54CTgdo1aotZ5/9S3bf/ZjtusbGjSU89dQNfPjhi9mbT46i9D8bLFAR2WnEcepQ4GGqlqy9SyhZm1ft2A7AzcAVWZs3EErS7lRJmsj2U4IjIlKLOE4dBbyWeXzuub9hzz2Pq9e1KirKuP/+bzF37ruZTR8AB6hUTSQ/xXGqBzCO5AZJohi4PIrS/0iO2RN4BBiddcx0QknalCYKVSTvqE20iEjtvp/5Zt99T6t3cgNQUNCKs876Oa1bt6u8JHDCjoUnIjurKEqvIDQl+R+gLNncDXgijlN/jOPU5YTy1+zk5n4gpeRGZMcowRERqUEcp9oAn8s8PvLIy3f4mp069WT//as0YVOCI5LHoijtUZT+A3AksCBr17eBu4AOyeMNhK5pl0RRem3TRimSf5TgiIjUbB+gPUC3brvRs+egBrnosGGHZj88tLbjRCR/RFH6bWB/4OUadn8CHBRF6bs030akYSjBERGpWY/Kb3rs1nAX7dE/+2HPBruwiOzsvkDNNzX6A1fFcaptE8cjkreU4IiI1KyynWtp6boGu2hpaZXqk3qvci4izUMcpzrGceoe4G6SUeFEWdb33wL+E8epoU0anEieUoIjIlKzDzPfLFo0nU2bNjTIRRcu/G/2w//WdpyINH9xnNqL0Ejgkmq7nDAPJ3sB0AOB9+I4dXYThSeSt5TgiIjUIIrSRcDHEFo8f/DBhB2+pnsFkyc/kb3p9R2+qIjsdOI4ZXGcuoKw9s0eNRzyjyhK/wX4IvAdYFOyvQvwWBynblbJmkj9KcEREandHZlvXnvtdtauXbZDF5s48VGKiuZkHq4lLAQoInkkjlOdgHuAO9lcklYCvJF12B5xnOqQdFn7E3A4MC9r/zcJJWvDmiBkkbyjBEdEpHZ/BZYArF27nIcfvr76HJo6mz37bZ5//g/Zm26OovTyHQ9RRHYWcZzam1CSdnHW5o+AMcD1bB6p2R14OY5TfQCiKD2R0GUte4j3QGByHKfOaey4RfKNuasjoYhIbeI4dTzwT5IbQj17DuKcc26kb99RdTrfvYL//OdeXnnlVioqyjObJwFHRlG6pDFiFpGmFccpA64A/gy0y9p1N3BtFKXXJcd9jXDjJGMecGIUpWdkXeda4PdA66zjbgGui6J0w0wGFMlzSnBERLYhjlPfAv6UeVxQ0IoRIw5j9OgTGDXqaNq0ab/FOcuXz2fq1BeYOvV5li2bl73rU+CwKEov2OIkEWl2kqRkHFUbCawHro6i9D01HH8t8Ec2V9HMBMZEUXpV1jEp4BFgSNap7wEnRVF6aYP+ACJ5SAmOiEgdxHHqIuA2oGP29tat2zFo0AF06NCNwsI2bNy4juXL57N48YyaLvM2cG4UpT9pgpBFpInEcSoCxiYPPwTOi6L0R1s5/jRCApO5O/JYFKXPrXZMN8I8wExXtVeA46MoXY6IbJUSHBGROorj1EjCxOEjtvPU9YQ7tmOjKL1pWweLSPMSx6lC4AVCydm1UZReX4dzriGUtAEsiKL0oBqOMeBq4PvAwVGUXtRgQYvkMSU4IiLbKY5Tw4ELgAuBPWs5bCPwLPAQ8EymBl9E8lMcp9ptzxyZOE7dCPwweVhjglPfa4u0dEpwRER2QBynRgMjgb9nbT4V+E92Tb2ICFSOylwH/AawZPMfoyj93dxFJZJflOCIiDSAOE5V/jGNorRt7VgRaZniONWK0BHtq1mb/w18XuWrIg1H6+CIiIiINI0bqZrcvA6cpeRGpGEpwRERERFpZMmCnf+btekBQlc0Lfgr0sBa5ToAERERkRbg1Kzv3wIuiaJ0Ra6CEclnGsERERERaVolgCZBizQSJTgiIiIije/NrO+PBX4bxyl9DhNpBPrFEhEREWl8dwD3ZD2+DngkjlMdchSPSN5SgiMiIiLSyKIo7cA3gKeyNp8NPKiRHJGGpV8oERERkSYQRekS4Czgj1mbzwB+kJuIRPKTFvoUERERaWJxnLqNzWviLIii9KBcxiOSTzSCIyIiItL0/pPrAETylRIcERERkSYUx6mDgZuyNk3PVSwi+UgJjoiIiEgTiePUOcCrQI9k02fAJTkLSBqcmf2PmR1jZpbrWHLNzArM7Hgz+1ZTPq8SHBEREZEmEMeps4FHgXbJpuXAmVGUXpy7qKQRnAy8Akw1s2vMrEuuA2pqZtbdzL4DfAy8ABzXlM/fqimfbGdnZrsQupscAOwJDABaAxuBecBHwLvAP9x9ZQ7iGwJ8Edg3ia8v4f9hCTA7ie8/wAR3X9/U8YmIiEjN4ji1JzAua9NM4JQoSs/KTUTSBPYE/gz82szuA/7i7lNzHFOjMrP9gauBi4D2OYtDXdTAzI4CfkLILusyqrUJeBaI3f29Ro7NCEnN9cDBdTxtHfA4Ib45jRWbiGwWx6nKP6ZRlG7xZQkiUlUcp+4ErkgeLgQOiKL0shyGJI3EzP5F7SMWrwO3AE+4+8ami6rxmFlb4FzgGuCQWg57yt3PaKqYWnSJmpmdZ2bPA68Bx1P3f4/WhL71k8zsH2bWKMNuZnYt8CYhWalrcgPQkVDPO83MxpvZqMaIT0REROos+zPGm0puWoYOHbYoljoSGA/MN7MbzKx/00fVMMxssJn9CvgEuI9qyU2rDh1yEhe04BI1M7uI8D+jyp3WQYM6MWpUN3bZpT3du7elVStj06YKli8vZcmS9UybVsynn1ZWfxkh0TnNzD7v7q82YHwx8LMqGwsK6DpsGF1GjKB9nz606dYNKyigorSUDcuWsX7RIlZ+9BEbllX+zWwNnA98wcz2cXcNg4uIiOTGkqzvz4rj1ElRlP5nzqKRJnH22UMoLDTefbeIadNWUlFRuasv8FPgR2b2JPAX4GXfyUurzKwAOIFQhnYa1T5HW0EB3UePpveYMZStW8fshx/ORZgtM8ExszFUS24GDOjIWWcNoXv3tjWe07NnO0aO7MqRR/ZjyZL1PPbYXIqKNmR2FwIvmtmohigJM7MvUy256bbHHgw87TRad+xY4zntevem2x570O9zn2Pt/PnMeewxytauzexuTxhtGuTuxTsan4hIS2BmhwBfILyJ7561y4FJwDPJ1weZDyVmNiI5/lTgMKq+z87POuff7l6anNMTOCk55wQge0LyasIE3QnA0+6+pmF/SmlCNwAnAvsRbkBOiOPUNVGUvi23YUljGzy4M4MHd2b16o1MnryMSZOWsWbNpszuQsL877OA6Wb2F+Aed1+Vq3hrYmY9gMuBbwDDqu9v3aULvVMpeh1wAK07dQKgeNq0pg0yS4ubg2NmvYE0MLD6vsMP34XjjtuNgoLay+fLyiqYMGEB77+/vKbdU4DD3H3dDsS3B/AO0LnaDgacfDJ9Djpoq+eXlZQw97HHWD17dk27nwW+4O7l9Y1PRGqmOTj5x8w+A/rlOo4sZ7n7E7kOQuovjlODgX8TmhhlXB9F6d/lJiJpDNlzcC6+eATDhlVtolZe7kybVszEiUXMm1fjPYv1wP2EpgQfNHa8W2NmBxLm1lzI5u5/lboMG0bvMWPoOmIEVlhYZV/xtGnMHj8+81BzcBrZb0mSmzZtjB49No/Y/Oc/S3j44dmUltb8+X/duk3ce+/MKslNnz7tKdj8r7gP8KP6BpY0FPgbSXLTqlMnWiVZMO4sfPZZFjzzDF5ec3wbli9n2h13VEluOuy2W/YhpwAX1zc+ERERqb8oSs8jzKmdlLX513GcOiE3EUkuFBYao0d357LLRnL11Xty0EG9adOmykfyDsBXgffN7A0z+1Iykb9JmFk7M7vUzN4hDApcTlZyU9iuHX0OOYTR117LiIsvptvuu2+R3ORaiypRM7NhZH3AP+usoQwe3Jm//30uM2aEkcDp01dx553T+dKXhtGt2+bX0pIlJTz44CxWrdrc8GK//Xpy2mkDef/95UyYsCCz+Voz+4O71zjEsw3HAkdAqGEc8eUv06pDB2aPH8/6zz4DoGjiRDYsX87Qc8+lVfvN3fdWz5nDnEceoXxDZdkc/Y4+mn5HH82nL77Ikrfeymz+iZnd7+5l9YhPRKRFuuaaPStLmEtLy5k1azUzZ65i1qzVbNiw+aZT69YFDB3amREjujJiRFc6dgxvsxUVzoIF65g5cxUzZqxi5crSKtfv378jI0eGc3r33nyT9M9//pDi4rxotCSJKEoviuPU0YTSw8MIN5tvBtQQqAXq06c9p5wykOOO240pU1YwceJSli7dkH3I4cnXTWZ2B3Cbuy+o8WI7KFmO5BuEbn89q+9v37cvfQ46iB577UVBmzaNEUKDaVEJDuF/WCHAkCGd2X33bgBccMEw/vWvT3nzzTD/b+nSEv72t2lccMEwBg7sxPTpxTz++Fw2btw8M+z443fjsMN2wcw44IBevPPO0sycnM7ABYQWgNvra5lveh5wAB369gVg1GWXMe/JJ1n54YcArJkzh2m3387wL32Jdr16UTRxIguefRaSckNr1YrBZ55Jj732AkKis+y99zLJzzBCIvVCPeITEWmR2rYtpFWrcIe1VasC9t23J/vuu8X7/1YNH96F4cO7cPLJA7Z9cKJv3w5KcPJQFKXXxXHq/wgJDtRQ+iMtS9u2hYwZ05tUqhcLFqxl4sQiPvqoSlOCPoQqoR+Y2dOEz5kvuXtFLZesEzMrJMwNu4awQGnVpgGFhZVNAzr2708oNtr5tbQE56jMN6lU78qNBQXGCSf0p3fvdjz99AIqKpz168u4++7p7LFHNz76aPO8/DZtCjj77CGMGtWtyvkHHtiLf/7zk8ymI9nOBCcpT6uMr/eBB26+fps2DDnnHNr17s2iV18FoHTFCj6+/XY6Dx7MqunTK49t3akTwy68kI5ZpWmF7drRY++9KZo4MfvfQQmOiIhIDsRxqjth/b2MtbUdKy2LmTFoUGcGDerMmjWbkqYERaxeXdmUoIDQwfcMYGZWU4LtWoA+aW5yBWHEZkj1/W26dqX3mDH03H//Whtc7cxaWoJzQOabgQM7bbFz//170bNnO8aPn8369WW4UyW56datDRdeOJxddtlyYdaBA6v0BDhwiwO2rR+wC0BB27a032WXKjvNjF2POYb2vXsz94kn8LIyKkpLqyQ3Hfr1Y9iFF9KmS9XJbACdBg3KTnDqE5+ISIv1pz9NJRc3LsvKam4EZGYdgPqUQjemMfm+SnsD+g2wf/J9GWG+xU4hFcdjgHXpKPoo17G0dJ07t+boo/txxBF9mTGjmHffLWLu3CpNCUYANwE3mtkDhKYEW12A3swOIrR4vgDYYl5Pl+HDNzcNKGi+U/XzLsExszq1hevUqeYffeDATlx00XDGjZvBpk2bR/3aty/k0ktH1tpGutr1htc1jpq06tCh1hdV99GjcTPmPvpoZUkaQJvu3Rl56aUUtqt5lLta9n3StuJz9+YxBlkHO/L/QqrS66J2Y8duvm+wM77mDhw7tvL7SVnfN4SW8LooL98p/pf+fScvD/lvdnwt4XVRX+3aFXLllaPo3bs9Tz89v9WkScveGDs29/9cnQYPZsRFF7Fp7Vpad+pE2bp6N4WtlV4X26+w0Nhjj+7ssUd35s5dwyOPzKakpErDqfbAVcBV9f0b0apjR4adfz6dBm7RZLihfGFr/14N/bpovqnZDlq/vuZOZIsXr+eRR+ZUSW4ASkrKeeihWVtMDN18vYabs19eUoJX1FxSuXr2bBY89VSV5AZg48qVzB4/nrL162s8r6ykpMHiExERkfrbsKGcBx+cxSOPzGbSpGXbPqEJtO7alaHnnktB69a07d6dwWc0WUdf2QZ3r0xs7r13RvXkpkGUrVvHjHHjmPPYY6xdsIDmvoxM3o3g1NWCBWvZY49uVbZNmxaaCWSSGzMYNKgT8+aF0tilSzdw++3TOP/8oQwa1HmL6zWU8g0b2LBsGe379Knc5u4UvfsuC//5zyrNBDr068e6hQsBWDNvHtNuv51hX/oS7Xv3rnLNtQsapeGGiIjkmLVqxX7f/35Onvvjv/2NDUVFOXnu5m7lyo2sXLnzNJAYeMopldUem9asYeHzz+c4ItmwoZwpU5YzcWJR9uLyjcYrKlg5dSorp06l/S670HvMGHrsvTeFbZusQ3WDybsEZ2tDXGb2G+B6gPfeW1aZ4Lg7b7yxmJde+qzy2DZtCjjnnKGMHNmV999fztNPz6e8PDQfuOeemZx22kAOOKBX5fmTJ1e5A/Ndd//j9sZuZn8HvgiwbPJkBpx0Urh+eTkLnnuOZel05bGtO3dm2IUX0qFfPxa//jqfvfwyAKUrVzLtjjsYeu65dB0+HICKjRtZ8d//Zj/Vae7+zPbG11zl03C4NJzGfF1EUWNduf5ScVx5O06/EzUzs1eTb492939nbZ8F/MLdxyUNYb5OKAcZBZQAs4G73P1vyfGebK8ASoH3gOvc/f2sazqwAhjm7sXJtv7AQmCIu8/LOnYgMBd4zd2PTbZ1ACrrhwpat264f4jtUbUcZh93/29thzZnLeF3JhXHr5MsVdG6c+exG5Yti3Mc0k6vttdF9kKf9bFkSQkTJxYxZcryKh18s/yb0MzqH+6+Q1lysr7OOYQuaodmtpcsWcKCCRP45MUX6bXffvROpWhX7eb5dmrShT7zLsHZhnuA/wVsxoxVzJ27hv79O/L00/OZMmVF5UHdu4dmAn36hGYC++3Xkx492vLww7NZt66MigrnqafmU1RUwvHH92fq1JUsXlxZAlYCjKd+7iJJcIrSaXqPGUOr9u2Z8+ijrJk7t/KgDrvuyvALL6R15zCK1O+oo2jXqxfznniCik2bqCgtZdYDD9D/xBPpc/DBLH7zzew62k+Af9UzPhGRfLcc+L2ZHew112jcBZwAfBN4kbDieAoYS1ioOeMEd3/DzDon2/8BDK52LSd00rpuGzFdBRQDnzOzke4+o8pFysrwiorKuZvlGzawevZsVs2cyeo5c6jYVNl9iVbt29Nl2DC6jhxJ58GDKxMjLy9n7cKFrJoxg1UzZ7Jp7eaqBCsspPOgQXQdMYIuI0ZU3uV3d43e5JfsWvsvpuL4D+koWlPr0dKgysoqmDYtNBKopSpoLXAfoZFAgzXzcPdS4AHgATPbn9CA4CLCvB4qSktZ+s47LH3nHToPGULvMWPoNmrUTrewZ3XW3GvstpeZjQfOh9A4oGvXNtnJCYMGdeK884ZVLs6Wrbi4lIcems2SJZuPHziwI599tj67080f3P1/6hmbARNJupy16dYNzNi4cnPnv+577cXgM86o8W7d+kWLmPXQQ2xavbpyW5dhw1g9e3b2YVe7+631iU9Emq/sEZx0FOX93ej6SEZw3gIuJYy4PJhsnwX8ApgFvA4c4+6vbeU6Dhzp7m8kj08FJgC93X1Z1jHfAX4N7Onuc2sawUnWqJgP/DGJ63l3v676CI61alWZ4FRs2rTFPM0a4ywowFqF9zovL8fL61bXX7nAn3uV5Ik8HsFpCVJxfBjwKpD5gPEBcFo6ij6p9SSpUfYIzsUXj2DYsC2722asWrWRSZOWMXlyEWvX1jif+yPgL8B97r66pgMampl1I/y9uRoYWX1/686d6Z1K0euAAypvttekeNo0Zo+vvOffpCM4LbHJwHXAUgiNA7KTmwMO6MXFF4+oMbkB6NatLVdcMapygVCABQvWZSc3M4Gf1zew5G7hV4ENABuLi6skN7seeyxDzj671lKEDv36scdXvlJlDZxqyc2/gTvqG5+ISAuwDvgZoe1q9cLzU4BPt5bcVJf1QWEpYRQm2yTgceBXW7nE6YQlBO4jjB5dWkNcYemAjRup2LixTskNhHr7zDl1TW6AynOqJTfSzKWj6E3g2qxN+wLvpOJ49xyFlLfcnTlzVvPww7P54x//y7//vah6clMGPAocA+zl7rc0VXKTxFfs7n8C9gCOJ4xAV9bKbVqzhs9eeYUpN90UqozmzdvpmhK0uATH3T8hGcHJNmhQJ449dtfKlapr07ZtISed1L+mtXAqgDMztdQ7EN9k4LvVt3cfPZo+hxyyzRVkW3fuzIBTT60po14PnOfuekcSEdm6u4E1wLerbe8NfFrHazxnZquBlcAhhPeHmm7P/ojQPvWgWq7zVeAZd19CSHK6AGcRboRdANxPzevhTCbccDsE6JV89SbcVb4JmFHDOZ8At7E5qcqcty/wQ+ANsj7kJNYCfweuJMxFkmYsHUW3ERZ/zLxWdwX+kYrj2ocgpM42bCjn7beXcsstH3HvvTP5+OPi6vcjPiOUuw5y9/Pc/bVaSmWbhLtXuPu/3P2LhBLbX5IMEgBQUcHKDz9kxrhxfHTrrRRNnEh5ac3dhptaS5uDA4C7v2pm3wL+X2bb/Plruemm/zJiRFdGjepKnz7t6dGjLa1aFbBpUwXLl29g8eISpk0rZs6c1dVfkA6c6+4NsiiWu//VzPYmDA0CsPLDD1k1cybddt+drsOH065PH9p2744VFFBeWsqGZctYv2gRKz/6qLKrWpZNwBHJG6SIiGyFu5eb2fXAQ2Z2Z9auImC3Wk6r7uRkDs4IQnnaXoTyt+rPtcDMbgb+D7gwe5+ZDQJOJJmb6e7LzOwp4Gvu/hDwMPBwUsbWIevUcnevec0AeDn5+p6ZdQKy75qtreXD1HJgCvBrM2vH5hImgA26cZZf0lF0dyqOFwBPE+ZhjCKUSF6R08CascWL1ydNA1ZssQxJ4hVCGdqTO+vvk7svBH5iZjcAZxM+ox6R2b9h6VIWPPMMn7z4Ij333ZfeY8bkKlSghSY4AO5+s5mVEX5hUxAWcps2rZhp07ZrEOYN4E/u/vcGju8aM1tB6GyxOyTd0KZMYcWUKXW+DPAS8KNtrWwrIiKbuftzZvYuoVwt41ngh2Z2pLu/XsfrzDSzrwNPm9kz7v5ZDYfdSJjf88Vq279CqLS4w8wyn4o6AJ3NbJS7T0+eo5ww4rRd3H271zdw9w0kZdSSv9JR9FIqjv8CZOYUD8plPM3Z00/Pp7i4xkZnawjNr24FzgQudffHmjK2ejoXuN7d9zWzfYFvAF8GOkL4rFo0cSJFEyeGueQ50uJK1LIlk+0PIrywJm/n6W8Ax7n7kY31gnT3nxLu+n2FML+nrsoJdwwPcPfj3X1iY8QnIpLn/pdQItYbIGkaMA540MzOMLNOFhxoZhNqu4i7vwK8Q9VkKXv/KuCG7P1m1gq4nNCEYB9gv+RrJDAtiUukUaTiuDVZLYN3Nmb2qpmVmtlaM1tlZu+b2bm5jqsmNSQ3UwlJwW7ufq27f+TuN7r76U0f3ZbMbKiZPWpmi5N/34Vm9oSZtQFw9wfcfd/k+w+AdoS5hN8i/G2qtLF4h2Zt7JAWneBAmNjv7k+6+4GEYdgfE+qJpxEmm24k1BhPJZQDXEeojTzS3V9ugvjK3f2OJLYDCfWPEwhrIqxP4ltNSNDuI6zP0M/dT89ec0FERLZP8uY9njDvJeMKQlOAiFCLvhT4M/DkNi4XAVea2fBa9v+VMF8n43SgB3CTuy/O/iLMoamx2YDIjkrFcTfCaOVhySYH/pC7iGr1c3fvBPRk842H2n6/dgZvAUcRug3+1d131hbczwKLCJ87OxMS3eepWs5a3SZ3vxnYkzDP73HCzfacaXFtokVERERkS6k47k/4MLtn1uYoHUU35CikGiUt3f/l7r9IHnck3Iw+190fS9qoZ+aKdAXeBb7p7rOS41sTRmgvJTRSWEoou3o8GT39EXAZ0I2wUO+3M2vPmNk4oJAwv/ksws3w64CPgdsJ0wo2Ad3Z3Ljja8m+EwgjsdOAb2QqbMxsLGGu9OeTx/MI62cdBxwMzAO+6u5vJvuPI5S2jiQ0hHgJ+Ja7L032X0C4qdKfcDP8OXe/LNnXE/htEks7wvyfa919SbJvGTC6tnnlZnYZ8BN3H57MVfxlsivTXaBrMo/xSkKjk76E5GhyMpjQJFr8CI6IiIhIS5eK43aECpbs5OZn7MDyF00hKZ36RvIw0x3wDkKiLzk67gAAIABJREFUcQjhA/Y7wIQksYGwrtWXCfNJugBHs3kqwP8ClxDawvcjrH31opllj+SeQxil6EH497mdkFB9kdCB8P+zd97hdRRXH36P5N5twJhmXABTTF9aQg0YSOg1hGIILSGhOCSBfBgyntAhdFIgGEwNoYUWeo0JJaypJjQbRLWNccdFtqXz/TFzrdW1JMtqV7o67/Po0b0zs7Nn7927u2fmzO/MISQCHhydsApChM0ZcZv7gMfy+szneELYV+/Y162ZunJCsuHVgE0JTto18fPoRojo+aWq9gSGAGNjnRAkn5WwBGJdwlqguwBUdQbwHmHd30gR2VjqkO9V1csISUJvVdUe8a9CREYQnKgfE4QqzgE2FpGd6zjeJsUcHMMwDMMwDOMyICd9tRQ4OnXu/NS51hrqM1pEZgMLCQ7Liar6joisSlAk/IWqTlPVxYAnOCvbxQf2XwK/VdV34lKFL1U1p+D0U+BSVf1AVcsJjksFsE9m38+p6r9UtRK4jbDA/vbYzwLgckJi36w0/FhVnRDtuTTavW8dx3eDqr4XRURuAtYTkd4Q1gOq6uuqujSGrV5GTCwaWQJsKCL9VHV+RhRl6/j3S1WdE209C/hBTDQMIffOC4RExG8B00TkvLocnRo4gyDANV5Vy1X14ngMI1eij0ZhDo5hGIZhGIaxZeb19alzdxbMkvpxoar2IeRqegz4QSwfHP+/IyKzoxM0kyBvvg5h1qM7NeeCIrb5JPcmOjFlsTzHlEz9gvwyQlhYfkLCssw2CnxOCCGrjWx/8+P/ngBR2OTJKAQwF/g7VWIoCwizT3sDk0VkgogcGbcfDHQmOC25z2YyQRlxYNz+W1U9R1W3IoTonUWYyftpHbbmMxg4O7ePuJ/jCDNNLYI5OIZhGIZhGEaWtRPvV2bEvmCo6izgROBHInIA8FmsWl9V+2T+umnIHzWd4DCsX0uXX1DlJCEiJYQkl8slGVxJBmX6FIJD8WUD+7qbIC61gar2Ii+Hlqq+oKr7E5y/C4A7RGQo4bOZD/TL+2y65tb35PWzQFXHEfJgbVGLLTUl9vkMGJO3j56q+qMGHu9KYw6OYRiGYRiGcXfm9aHAnxLv20S+RFWdSVB6u4iwSP4u4M8ishaAiPQRkYNEpEecPfkLcJmIDI9S72vFBOsQFNnOEpEN4vqe0YS8kf9qpJnHi8hWGYGDbo3osxdhnc88ERkI/C5XISKri8ghItI7hrfltJorgJQQdnZNFBRARFaLogSISF8RuTh+Lh1FpIOIHEJYr1Nb7q+pwJDoCOa4GhglIjuJSKmIdIqzTkkDj3elMQfHaLXk6dxn/zZd8dYN2t84EblpJbdZTUTGishX0bYpIvK4iKzRHDYaRkNJvNfcX6FtMQyjVfJnwnqSHKcAjyTe9yiQPSvLNYR1NiMJ+QM/BF4QkXnAuwRBgdz1bzRwD2HB/TzgRapmdC4nhHw9BUwjhL7tqapzG2nfjcC1BDn4HwP7xBxYDeFkwqzVPIIwxL2ZuhLCGqOyeOx/IiQRLYvhdgfGNhNi/WuEdTcQUo/0j33OJMx2nUtQWcvuI8tNhJC/GTEcrVRVn4o2Xk5wOKcQ5O1b7FwymWij1ZIvA9kC+xsHLFXVE1dimycJoyinquo3ItKfEPf6VFz4ZxitgqxjkzrXJkJPDMNoWaKS2s1UD3l6ADi0FYsNGMZy2AyO0SaJsztXxuy680RksojsLiJ7iMhEEZkb63pmtlERGSUh4/E8EXleYlKwqOV+FCF5Xm6maBURWSgiW+bt+98icl58+z1gXE57XlW/UdXbcs6NiBwnIpNE5Ow4u/ONiFwhVVKViMgtEjIFzxOR/2UWA+bqNxORJ0RkuojMFJGnM3UDReS+2PcUEbkxe8yGYRiGUV9S5xYR7oXZgcWDCSFVhtFmMAfHaMscQ5Ba7AP8g6D7fjIhU/AgQhbe0/K2OZkQW9yfoPX+cJxOrUnLfQZh2nfZjI6IbEDI6ntzLPo3cLmInCwiW4pIaQ12rktYTDgkbrsfISlYjpcIi/f6EOQox4nIxnF/axCmzl+MxzQgHjMi0gV4Dvhf7HtjgiLLNSv+6AzDMAxjeVLnNHXuPEKYVo69CmWPYTSEonNwRGSIiNwrQTrvuzgy/s+4UMxoe4yWjMygBKnBHPeo6qtxEd0dhNjby1V1Zlxw+ChVmv45rlDVSaq6kCB9OJSQJbg2bgSOjM4EwAnAE6r6VXz/47jvnwIvE2JQr860h6Aw8ltVXaiqkwl69cvkFlV1rKrOUNUKVb2boFaya6w+BpikqhdHLfvFqvpMrNuXEGb6+9j3LOA84KhaHC3DMAzDqC9LCm2AYTSUNqGOsZI8RlgYNgyYC6xFfBAspFH5xAdQjQu+jNq5sI41OPma8zWV1aVDv0BEplOHDr2qviQiXwGHisjdwLGEWaBc/XfAxcDF0YnemzCTNJegGw/wTUYnP2fD2rBMfnIMwVEaQFgA2Z2oZ0+YtalNq38wMDDP6SP2MQD4avlNDMMwDKN2ojz076ielPGFwlhjGA2jqGZwouTdMOCvMUNrLjvtX1W1XETGiMizInKViMwQkS9FJCut101EHoizP3NF5A0RGZG3j11EZHxcC/GtiNySqRsuIfHStyLyuQSpvY6xblBcA3KCiPyP8PDdv2U+GSPDoNwLEelGcCRyOvS1OZs3EmZu9iXILNYo6xhnVx4GnqG6Xnz/uK+sDbl9/oQQAncI0DcmLXubKoe8jNq1+j8DPsrTme+jql0yM0xGHlHl7qz4Ove7rCvZmmEYRURbuga0tH2J9x0JqlgXZYr/BVzYEvs3jKaiqBycuGbiPeAmERkpIhuLSP7Mzc4E2b81gAOAM0UkpxZSQlALWR9YhRB/er+IrAZhsTfwJDA2br8OUVJRgnrWi3H7NQlrLUYA/5e3/yMJkoM9CfJ7RsvyKxEZGkPILiFkK34t1tWk5Q7hO94WcMAtMSQOAAlCB9uISBcRKRGRXYHdqK4XXwJcIiJdRWQIYf3NrbGuF7CUcC6UiMjxwOaZbe8AhkWRgm4SdOl3j3WPAh1F5BwR6SmBtUTkoEZ8Pm0eqS4vPkeCqMRhuXpV/WFcc2UYRhFi14BGcT1wfOb9C8BRqXMWbWK0KYrKwYnsSvhBjiIkM5omIudlHJ0pwKVxtH0CYXT+pxDCjVT1DlWdp6pLVPVygiZ4bh3Hz4FHVHWcqpbHdQ/Px7qRwNuqekPs+ytC6FJ2ihfAq+rU2KYCY0WcJ8vnwdm3Ef3dRHBCpxMciQMy38NyWu4AqjobuC+2H5vXXwlwC/ANQdv+z8AfgSsybT4jhIt9SnCmniCsw4Hg6LwGTIptNibjHKnq14RzegRh1mcacHasWwDsHrf5gCBX/Sy1ZxtuT5yvqj0IAxXjgLskKua1NxLvhybe75ZXtlXiva3TMooZuwasJIn3J5IJwSZ8bnulzjU0V4thFIyiW4Ojqt8C5wDnxLCgw4G/UbUe4TOtnvynjCCBiIh0JTx47gOsSghZ6kn19RBv1rLrwcD389ZDCJD/EFG2ssfUXlHVXeuofjSvbRl566xUdUwN26WqenUt+/uE2gUHPiXk5Pk0b5tRddiYbXcpUf0sr3wBIflYXdu+CexRS90XwNH1saE9oqpLReRvhARjWwCTpOb8SnvHkJXcTOxJOenvGPp6FcHJFMIs7q9UdaaEDM+3ZvoRQnbqLQmzt1NV9YxllWGG7v+ADQjruc4lJGH7NdAbuIEwMHJj3N/XwImq+lKmj5OAMwgzyJ8AZ8ekastIvB9EWNd1BDU7vBOAKYn39xCyl79mOS6MYqS5rwGxvozwm92dcA8pA05W1Zdj/TjycqzFbc5V1Tvi+10I0sybEJ49HlHVZWI0WUTkQIKgzFDCoO0FqnpnrFubMFi3NdCJIFozSlUnJN6XThgzZjPgOmBTQsj1B4SEk7MqKyqOnfaf/zDjrbdYMm/e0solSzYANsW5CSv6nBPvS1PnbNDWaDUU4wzOMlR1gaqOI/zAczf5dfPC1gZRtR7iTGAXwkWqd1wPMYv6r4d4Jm8tRO84gpTFpnnbGCKyOiErsskvtzGi8MMp8W1tYg0QZlp3Jsh5VxJCA3PcCfQlzJRtRBj8uB1AVe/PyIr3iG1fJTw03AAcLSKdM32dCIzNDLKsS5AHHwLsSJA1f5yQ/bkvYbYxu87vZMIM3lGxfjTwQG5kOvF+eOL9eIJDfgl1z+atQXCUXgE+Sbz/SR1tDaNN0tzXgAzHA6cTBiqepvrAx4psrDX8vYa2I2K7UUA/wkDJ9SKyc2xSQogkWJcgNvMG8MCgAw7oAbzcsVevBwhCTP2A1QnPPYsBvnj88XVnf/gh6x99NJv/7nfXEtIhPCkifWuzPfG+JPH+LODfifemVmu0GorKwRGRvnFh//C4VqFDHGEdTlXYzxrAb2P9loQH1+x6iHJgBtBJRH5PePjIcQOwv4gcIyKd4pqKXWPdbUAiIsdn1mMMEZG9m/eojeZERK4kjJI/oqo1igsYrZLRcTZ1IWFU9ERVfaeO9rnQ0bmEhHYjRGRNEVmTkP/hTFWdFaW4zwR+JCFH0TIkJH/dFdhPVRcBzxOuJQfF+o2AhBD2kWNh3PdiVX2bIDDxulaXP19PRHrH9qcDf1DVt1W1UlUfi/s5IvH+ZOB1gqO0jE6lpWwxcGC1g+3brRt5DALuSry/JfG+ax2fk2G0FVr6GnCDqr4Xf7c3Uf13uyLqCn/P5wzgGlUdH68B/yVcJ0YCqOrnqvpwHOBdSJglHti5b9+/Adt27tt3UO9hw47vs+GGm8RQ/FdVdb6IyIw33xyw9ogRdO7Xj5LS0lO3HjNmFmGGaJ+aDEm8X5UQTXEpIen1clEKhlEoii1EbTFhevkBgiOzlDDrcpqq3isimxAcnTUIC8oXEUbl74rbXwlsRQgLmQ1cTXVZ4bdF5EeEi+V1BI34h4EXVHWqiOxGGDW9COgat72h2Y7WWClUdaWlwlX1TMLNrKH7HEf1B1qjZbhQVS+II49jCcIe+eunspTV8HptqmZvs6GJk+P/dYiy5CIyEjgV+F4Mk0VVNYbGnEgIAzsReFRVp2b6+karS8UvoGb5856ENVaDgT+JyLWZNh16Dh48gOA8AVAqwnZDh7Ln8OHsOmwYPbpk0zLB0spKJpSV8dTEiTz3/vvMW7QoV3UcMDTxfq/UuYUYRtulRa8BVP/dzo//c7/bFTGI2sPf8xkM7CYi2ftSKXEQV0RWJTzL7EoYoK0EqFyyZAuAQQceyJQXX1x3zqRJb5R06PCNVlSMBTzQVysqOk66667KKLTTCbhfSkoWa2Xlcgpuifc7Eq5ra2WKt0u875w6V17PYzGMZqOoHBxVnU+Q862LSlX9FfCrGrafRoixzfLHvDbPEUYqatr//4D9a6kro5Xl4jGMYkdVZ4nIicBkETlAVR+qpekgqh5aBsX/X+bVT4qvh8T/X8CykJFrgT01JHLNMg74g4gMIyRtPbZBB1LFZ4BT1XtzBYn3R5DJOL5e//5cdOihDFlttZq2B6BDSQnbDRnCdkOGcOZee3HJY4/x+DvLBrd3Av6aeH+crcsx2jotcQ2oB98RxA4AEJEOVE8TUUbt4e/5fAaMiyJINXExYRB3O1WdIiI9gbmfPvDAaVv87nf7dO7bd9SgAw8EKF0wbdpqH9500xmVS5Z8SgiFnd9r6NAjh/74x1cAOUGGToS1OkAISSMkyb6A6muMLwdGp85ZclCjVVBUIWqGYRj5xIXAVwIXyfIS4DnOE5HVRaQXIcziWVX9OqrYPQVcISJ94mjwFcDj8eFhM+AfwMgYKpK/7+nAQwQHZCEhzr4xXAWMEZEtRETWP+aYQfPKym5ZND0ozm8/dCjjTjyxTucmn+6dO3P+QQdx6u67Z4tHsgLxC8NoKzTnNaCeJqTA7iIyOK7JuxDomKmvK/w9n6uBUSKyk4iUxvZbi0huBrcXYeZ3loj0iMdCxaJFS1PnfvXJffddu3ju3DkAHbp06VDatWvPtUaMOHXrMWP6AtfMfv/9X0++++6jgJcqysuZM2kSi+fOvSTxfo/E+9UIOXEupsq5mQnsmzp3ljk3RmvCHBzDMNoD1xBGNfNl23PcQQjx+IIwYplVpjsamEcQDviAEL6a6+dgwqLiu/KkzDfNbH8DQVXt5rxwtJVGVf9GUHq8BZj1yT33/G/q+PFdtLKSgf36ccmhh9KlY8cV9FIzx37/++y/RTVNAmdS0kYR0VzXgPpwJyGc/Q3CLNHnVCm7Etff/YgghvBNrD+mpo6iYuLJhBmTbwmhcVcBOUEjR5gdmkEQWHqZzAzMrIkT+7x71VWL37jggsoPbrqJfptuyuo77LAl8ObmZ5/9OPDQ7A8+GDdhzJjN373mmiXfpimolhDC798EsuuKXwa2SJ2z9alGq0OqKyYbhmEYTYmIDAY+BgZHWe8mIfG+A2H0tCfAFUccwS7DhjWqzzkLF7L/1Vczf/HiXNEPUudqW+xsGEYbJSqeXUL1cP2lBBn7K1PnKhPvLyMILgAo1cPsLwPOtVkbo7ViMziGYRjNRIy1Pxv4Z1M6N5EtiM7N6r16sfMGGzS6w95du7Ln8OHZop1ra2sYRtsldW5x6tyZwIGEGSkI67IvBx5KvN8b+EVmk5xzMwPYJ3XubHNujNaMOTiGYRjNQIyJnwN8H/hNM+xi89yLzdZZh+rpvRrRaXVJ6c1ra2cYRtsnde4hQgjta5nifQlrB7vnNf8PsGXq3GMtZJ5hNBhzcAzDMJoBVU1VtbuqbqqqnzXDLpZpP/fKk4FuDL27VkuD03QdG4bRKkmdKyPM1l6RKc5P2nkJsFvqXFPPRBtGs2AOjmEYRtskF1bClDn1SbVRP6bMnp19O7u2doZhFA+pc4sJ62pqysfzOnCFhaQZbQlzcAzDMNomy0JK3v7iCxYtaZpnj/9+ms1nyKtN0qlhGK2axPtdgLcI4Wr5bAO8mXj//Za1yjAajjk4hmEYbZPJhKR/zC8v5/40bXSHn06fzosffJAterbRnRqG0WpJvC9NvD8XeI4go53jUqqHrK0NvJh4f3ZM9mkYrRo7SQ3DMNogqXNKUDwC4K/PP8+kb75pcH+Llizh9//8J5nEAY+lzr3XGBsNw2i9JN6vDjwBnE/V8+C3wA9T536XOvcbYD+CHD2E5J6XAI8m3q/a0vYaxspgDo5hGEbbZSwwCWDhkiWMuusuJjfAyZlfXs7/3Xcf709Zlph9KXBek1lpGEarIvF+N0JI2h6Z4vGExJ1P5ApS5x4lhK29kmn3Q+CtxPsdW8JWw2gIlujTMAyjDZN4P5ywVqY7QOcOHRi1557st8UWdOnYsc5tK1WZUFbGhY88wpezZmWrfpk69+dmM9owjIKQeF8KjAYcVYPcClwEjEmdW1rLdh2BC4CzMsUVwLnAZalzlc1mtGE0AHNwDMMw2jiJ93sBDwDdcmXdOnVil2HD2HP4cLYdMoTOHToAUFFZycfTpvHkxIk8/d57TF1ege1iYHQMgTMMo0iIIWl3ArtniqcDR6fOPVXPPvYBbgP6ZYqfAEamzk1vKlsNo7GYg2MYhlEEJN5vCtwNbFxTfafSUkpLSlhYu9raPODnqXN3NZOJhmEUiMT7HxCcmwGZ4heBI1Pnvl7JvtYhXGu+lyn+GjgidW58Y201jKbAHBzDMIwiIfG+G/Br4Ghgg3puNgu4D7g0dW5yc9lmGEZhSLzvCnxClXOjwIWAry0krR59diSIE5ydKf4SWC91rrwR5hpGk2AOjmEYhmEYhmEYRYOpqBmGYRiGYRiGUTSYg2MYhmEYhmEYRtFgDo5hGIZhGIZhGEWDOTiGYRiGYRiGYRQN5uAYhmEYhmEYhlE0mINjGIZhGIZhGEbRYA6OYRiGYRiGYRhFgzk4hmEYhmEYhmEUDebgGIZhGIZhGIZRNJiDYxiGYRiGYRhG0WAOjmEYhmEYhmEYRYM5OIZhGIZhGIZhFA3m4BiGYRiGYRiGUTSYg2MYhmEYhmEYRtFgDo5hGIZhGIZhGEWDOTiGYRiGYRiGYRQN5uAYhmEYhmEYhlE0mINjGIZhGIZhGEbR0KHQBhhGofE+GQncCHTOFI8FTncuXdCA/gYB/wC2zRR/ARzgXPpmI0w1WhDvkzOAK4DSTPEVwP85ly5pQH8bAfcAwzPFHwL7O5d+1BhbjZbD+2QM8HtAYlElMAa4yLm0ogH9JYTrxZBM8ZuE8+LLRhlrtAjeJwJcC5yaKV4C/Bq43rlUG9DnrsBdwBqZ4vHAQc6lMxpurVFIvE9KgdGAo2GTDNcAZzuXljepYUWIqK70784wig7vk80JD58bZIonAoc5l36wEv0cAIwD+mSKHwGOcy6d2QSmGi2I98n3gLuBdTLFrwJHOJd+thL9jAT+AnTLFN8BnOJc+l1T2Gq0HN4nexK+v9Uyxc8ARzuXTqtnH0J4IL4C6Jip+hPwG+fSRU1krtFCeJ8cShgc65UpfgA4wbl0dj37KAXOITjNuQdgBS4CxjiXLm0yg40WxftkFeA+YNdseUlJKUOH7sDAgVvQpUtPAMrL5/PVVxP56KOXqKhYnN+VDYDUA3NwDCPifdIT+CtwZKZ4PuEh9PYVbNsJuBQYlSleCpwNXNWQETyjdRBvSrcC+2SKZxGc1odXsG134HrguEzxIuCXwC12XrRdvE/WJIyw75Ipngoc6Vz6/Aq27UN4ED44UzyX8CB8X1PbarQc3idDCYNlW2WKPwV+7Fz6+gq2XZ3gOO+RKZ5OcJyfampbjZbD+6QH8B9gs1zZmmtuzFZbHcRGG+1Gt259atyuvPw7Pvzw37z55kOUlU3IVn0GbONcOr057W7LmINjGBniqOoJwHVAl0zVzcBpNYWseZ8MJoSYbJMp/pxwQ3u1Gc01WgjvkxLgTOBiqof2XkkIWVtuiM37ZGPgXmDjTPEHwOHOpe82o7lGC+F90oEQajKa6iFrHriwppA175NtCNeLwZniNwjnxeTmtdhoCbxPOgOXA6dlipcAvwWurWlgw/tkN4LDPCBT/CLBYf66Gc01mpn4XPEP4LBc2S67nMzOO59ASUlp7RtmUFVef/0ennzyKiorl03ivQDs2ZCQ6faAOTiGUQPeJ5sRRuGGZYrfIzyE/C/T7iDgFqB3pt3DwE8tJK348D7ZgXCjyoas/ZfgzJZl2h1HCDXKhqTdDvzCQtKKD++TEcCdVA9Zew44yrl0amwjwOmEB99sSNp1wG8tpr748D45hDA4lg1ZexA43rl0VmxT05oMBS4EvIWktX28T/YBHs2933ff0Wy99UEN6uvDD//N3Xf/mnCKAHCSc+lNjTayCDEHxzBqIU4p/wU4OlO8ADiFsC7jMuCMTN1S4Czgags9Kl68T/oR1lntlymeTQhDe4bg2BybqVtICEkbZ+dF8RJD1u6kenz9NELI65uEB90DM3VzCQ+697eUjUbL430yhDAokmSKy4AfE2b67wR+kKmbTnCMn24pG43mIw5svEaM8NhyywPYf//zGtXnc8/9hfHjx+belgEb2CzO8piDYxh1EC9OPyU8tGZD1r4FVs28/4wwiv9aC5pnFIh4XvyKsO4qG7I2E+iXef8+QajivRY0zygQcTT+98B5VIWsKTCH6sIjKeF68UnLWmgUghiydhlhBi/HUsLgR89M2QsE58ZC0oqEGML+CUBpaSfOOOMhevZcbQVb1c3ixQu4+ur9WLhwTq7o+86lLzfO0uLD8uAYRh04l6pz6c0EyeesmlrWuXkO2Mqcm/ZDPC+uBHYijMLmyDo3txIWgZpz005wLq1wLnXAnsA3sVio7txcC+xozk37wbm03Ln0DOAQgrMLYWAk59wocDWwhzk3RcdOuReDBm3daOcGoFOnbgwbtnO2aOfa2rZnzMExjPrxEWHBZ038APjU++TGOFpjtB8mAq/UUL4QeMi5dH4L22O0DiYQhAPymQM8Yutt2i0vExTV8hGCAmeZ98m53ie9a2hjtE2G5l6sscaGTdbpGmtslH1rzx01YA6OYayAGEP9H+BndTTrBZwEfOx9cnyLGGYUFO+T4cDrhFj6fLoCD3ifXB0lxI12gvfJdoQ1N3vXUN0beMr7xMdwNqOd4H2yB/A2sEUdzdYGzgcmRbU9o+2TC1WlpKRDXe1Wijz1NXuWrwH7UAyjDmLitjeBrTPF/ySEmcyqYZNSYKz3yc9bwDyjAHifiPfJCQT1tBUNyZ0B/Cc6yUYRE8+LM4GXgHXzqt8nCA5AeOD5PfCM98kaGEWN90mp94kHngL6x2IlSM4/DNQ0m7cq8Hx0lo22zVe5F998M6nJOp02rVpfFtZYA+bgGEYNeJ909j65jpDHJCfxuYTwwHpIjKdeh7DOoiYuikkejSIiKuvdBtxEmKWBoKx3XF7ThzKvE+AN75ODMYqSqKz3IHAF1UUnIKgcbUMYuX8uU74r8FaUmDaKkOjAPkNwaHMj+dOAEc6l5ziXHkAYJPlvDZt3By5oEUON5uSl3ItPP/0vixY1PktARcVSPv54fLZofG1t2zPm4BhGHjET9cvAqZniTwlKJcuStDmXzncuPY6gsrYwr5u+hJA1o0jwPtmUoH6VlQ1/jyAkkO/oHkSIqc9Jd/YG7vc+uTYqKhlFgvfJ9oRZ3v0zxVMyr6cBC2I+nD0J+U5y8qX9gSe9T86PSUONIiE6rm9RXTb8OWAL59JncwUxf9ZOwFU1dLNHvO4YbZf3gUkA5eXzeeWVOxrd4RtvPMicOVNzb2cQnleMPEwm2jAyeJ8cRhidzyZmux840bl0dh3bbUJIDJrNWj8L2Nm5dGJz2Gq0DFES+gRCQsasVPjNwGnOpQtiu2UXU+dSiWXbEM6LQZntJhASxpqKVhsmnhdnApdQfdbmKuAdQgLgHBcB5+YGRyxrffESHVVHSN6ZlQpRBc0PAAAgAElEQVQfA1zoXFpRx7YHEHJsZVX33iBkq5/RHPYazY/3ybGE7xWREo466lqGDt2+QX1NmfIBN998AkuXLots/D/n0kuaxNAiw2ZwDAPwPuniffInwsNozrlZTJjFOawu5wYgSgFvS/VQg77Af71PTogPQ0Ybw/ukJ3AH8DeqnJsFwEjn0hNyzk1tOJe+DmwJPJAp3hp4M67vMtog3ierENZP/JEq52YWcIBz6ZmE0NWsg3MOcJf3SRcA59LnCSFrz2Ta7EIIWduzmc03momY7PUZ4FyqnJupwO7OpX+oy7kBcC59iHBeZNd3bkW4XuzQDCYbLcOdxFkW1UruvvvXTJz41Ep3Mnnyq9x22y+yzs0HwPVNZmWRYTM4RrvH+2Q9gmOzZab4E8Io+4SV6KeUIBlck/rNHcApzqWND8A1WgTvk80Ia7A2yBRPJJwX79fQfrkZnEydEJzlK4COmarrgd+YbHDbIT5o/oOwBi/Ha4TEnZ9l2nUhOLY/zLR7kLCGrzK2KSU4P2OoGnBUwozPGOfSpc10GEYTEx3TO4BsopNngKOdS6fVvFWN/fQnhER3y6taSjhXrsidP0bbIa7HmgAsExbZdNO92XrrQxg4cHNEap5vUFWmTHmfN954iAkT7s9WzQW2dS79sDntbstYzK9hhAXiWefmXuAk59I5+Q29TzoSHljWJyRpmw+8SlBKuYwq52YxwUnKqWwdTZiifhajrfBLqjs3NwFnrGjWpiZiaNJ13ievEJzpXN6CnxNG+mvKmWK0Tn5DdefmCuAc59LF2UbOpYu8T/YnKC6eEosPJDykXhDbVADne5+MB/5OCFkT4FeE60XTyS4ZzUYcwBhNlXNTSXBaL6pp1ibmuTmA8H33JNw/XiGocN5KlXNTRli/15fwvHY2QeSk3g6T0TpwLp3ifbIr8BgxN8677z7Bu+8+Qa9eq7PJJiNYd90t6dy5ByJCefl8vvzyXSZOfIpZs77M724qsJ85N3VjMzhGuyc6LS8Q1K5+BfwlFyuf164zIeHnwHp0eyVwHmHdxvHAxc6l5zSVzUbz433SjRByOAj4uXNpnatD65rByWvXh+AsHQL82rn0yiYx2GgRomLam4QH02OdSx9ZQXshODk50ZIFzqXLKSx6n6wO3A6MiP3e1qSGG82K98naBFGBJcBPnEtfqKXdFoRwpa411edxCEHY5B/A9sA+zqWPNYnBRkHwPukF/BX4SQO7eIJwffim6awqTmwNjtHucS5dQrjY7OBc+ueanJvIttTPuQH4rXPpAufSE4B9CTKhRhsiztQcCiQrcm5Wst/ZwGGEEdyalJOMVoxz6UzCTMwWK3JuYnsljLrnqNH5jWFMewP7m3PT9nAu/RLYj3BevFBH032on3Nzs3PpA86lnwM7Y85NUeBcOhc4iqCudwNBBW1FzCNcQ35EOA/MuakHNoNjGPUk5rWZCvSoR/OznEsvb2aTjFZEfWdwjPaF98lA4Gmqwh0/di7doI5NjCLG+2RH6pe3ZDGw1wqcJaONEyNIdgcOBtYkOMA5xhHETB53Ll3U8ta1bczBMYyVIKonHcnya3AWESRjc0o384B1alrHYxQn5uAY+XifbA08QtXC4oWEmeK3C2eVUWi8T9YHjqD6GpxXCWt4POFBF+Al59KdCmKkURDsPtJ0mMiAYawEMRfBdTXVeZ/8i7BYfEPCTes44JoWM84wjFZDdG7+TdWC8SUEeXFzbto5zqUfA+fXVOd98gLwP4La4o7eJ1uvjJqnYRgBW4NjGE2Ec+lCYjKvyLACmWIYRgHxPlkN+CdVzs0sQrLG+wpnldEWcC6dRAhpzGHhjIbRAGwGxzCalqwkqA0gGEb7ZBRVUtLfATs6l/6vgPYYbYvsfcTClAyjAdgDmGE0Ed4nnYBjMkWWw8Iw2ifZZK6vmHNj1Bfvk3WAPTNFkwtli2G0ZWwGxzBWAu+THgTp4PUJamo5kYEZgAM2i00XEBI4GobR/siKi+zmfTLCufTpWlsb7QrvkzWBwwkiAz2oEhnoRsiZ1Dk2fZ2Qi8swjJXEHBzDqCfeJ10JmaVXqUfzy6MggWEY7Y8rCUkatyTcZx/zPjnZudQGPdo53ifbERJ9riiCpgL4fR152QzDqAMLUTOM+pNQP+cGgtSnYRjtkCg4cjDwdSzqANzsfXJm4awyWgl7UL9nr1ucS59obmMMo1gxB8cw6k8KTK9nW3NwDKMd41xaBmwHZGWh/+h9sldhLDJaCU8BS+vR7njvkx81tzGGUayYg2MY9SSOyg4CjiY4MFcSchnsQ3iQeTLT/DcxKahhGO0U59IvgZ2A/8QiAW4tnEVGoXEufR1YGzgVuICQK+0swnmyF1XiNCXAH7xPTEXNMBqArcExjJXAuXQBcGdNdd4n+xEWhW4OdAWOBy5vOesMw2htOJfO8z45BXgnFvUqpD1G4XEunQb8qaY675NdCU5OF2BrwuDZqy1mnGEUCTaDYxhNhHPpEuCOTNHQQtliGEbrwPukI9Wz1i8ulC1G68e59CuqJ/ocUihbDKMt0y4cHBFZW0RWLbQdrQkRGSYiXQttRxGSnRWtLJgVhmEUHO+T3sCjwAGZ4tMKZI7RdrD7iGE0knbh4ADfA74UkVtFZFsRaZcxrSLSQUQOEpGngQ+A3oW2qZjwPukGHJcp+rBAphiGUWDiGryXqJ608Wrn0tsLZJLRBvA+2QAYkSmy+4hhNID2tAanMzAy/k0QkT8Dd6vqgsKa1fyIyOrAScDPCIsbjQbifdIfOIqQ6LMnVYk+lxBGZofFpnOxRJ+G0S7xPikF/g4MzxZj6ooG4H2yEXAEIdFnT6oSfa4OnEvVs9l459I3C2KkYbRx2pODk2VrYCzwRxG5BfiLqk5awTZtijhLtSPwC0LCuY6Ftajt433SA/gE6J5X9bOamjuXzm1+qwzDaIWcRvVR+J86l44rkC1GK8L7ZGfgxXo0LSc4O4ZhNID2EqJWG32BM4GPReQJEdlPREoLbVRjEJEeIvJzQu6FfxNGicy5aRq2ZHnnpjaubk5DDMNo1ayZef28OTdGhp3q2e5O59J/N6slhlHEtDsHZ8iQnowYsRZ9+nTKr9oLeBiYLCK/E5HVWt66hiMiG4nIdYTM2X8BNs3Wd19nHQYdfDClXU1XoBG8BpTVs+0VzWiHYRitG828Hu59skbBLDFaG48SQptXxPHeJ4c2tzGGUay0OwenS5cOfP/7Azj99OEceeR6rL/+cuvs1wUuJogSfCIiJ7VWUQIR6SIil4vIF8D/CInDeubqSzp2ZNWttmKjn/2MDU84gVU22wwpaXdfeZPhXLqYsPZmX2AUcB5hBvB7hPPmnkzzX3ifDGhxIw3DaA3cAMyKr1cDXvY+2biA9hitBOfStwkzfEcBvwbGENbIDifkUHsn29wSfRpGw2iva3AoKRE22KA3G2zQm5kzy5kwYTpvvPEtCxdW5Jp0AgYDNwLXiMg9wK9VdUahbM4hIpsDVwK7UoOT2nmVVVhtm21YZfPN6WAzNk2Kc+lS4F811Xmf/ITg6GxHOH+OBy5qOesMw2gNOJd+4n1yBPA44Ro9iODk7G9hR0Zcn3lXTXXeJ7sTIgW6E5yeHYHxLWacYRQJNpwP9OvXmREj1ubMMzfjwAMHsdZayy2z6AocC0wXkQkisufyvTQvEjhNRD4H3gJ+QPb7E6HPhhuy/jHHsMmpp7L69tubc9PCOJdWAndnitYtlC2GYRQW59KngP2pCkfqDTzgfTKoYEYZrR7n0m+BpzJFAwtli2G0ZczBydCxYwlbbLEKJ520Iccdt35NTQTYCnhSRL4VkQtFpHNz2iQia4jI34GFwLXAOvltOnTvzqajRjH0iCPoNXQorTSirr3QI/N6acGsMAyj4DiX/oswAj8tFq0C3Fs4i4w2gt1HDKORmINTC2usUX0Wp0uX5cTVVgHOAeaLyJMisklT7l9E9heRdwmiAUcQ8vgso0O3bsted+zZk069LWdnofE+6QOckCl6t1C2GIbROnAufQs4MlPUpPcKo7jwPtkC2D1T9F6hbDGMtky7XYOzMpSWCttt159Zs8r56qv5zJhRXq2akKl6ooiUAZcCN6iq1tBVnYhIV+ACwkPych6LlJTQdcAAuq+5JqgyfcKEhhyO0cTERaB7ENZFDYrFMwHLWG4YBoR1eYZRK94nnYCjgT9SNfj8tHPpxMJZZRhtF3Nw6omI0K9fF/r168LChUuZMmUBU6YsYMmSymyzQQSJ5qtE5D7gTFWdXo++tybICu9EDbNqHbp1o/uaa9J1wABKOoSvbMm8eY0/KKNBeJ+UAL8BhgBrA9sTZvSy/M65tD5SoI0m8b4TQX1nB4I8+GJgLvA08ELqXGUdmxuG0Yx4n5xCdbGRWwplSz6J9x2AzqlzLXKtMqrwPulOUGztBGwEbENY75tjHjC6pexJvO8ZbdiBcG+bD3wL3J86Z7NIRpuj6BwcEVnpmZOVpWvXDgwZ0otBg3oyffpCvvxyPvPmLck26UIYiTm6Methuqy6Kt3XWotOffo017qaKbX1q6pFs5Cnqc6J0lJhs836MXx4PwYP7klJyfIfUUWF8vDDZbz99swbx4yRG5tiv7VR0rkz/bfdltV32KFayGKG333z2mtNeu7YeVE7Y8Zs3Wx9NwVbjxmz7PWEzOumwM6L2hkwoCvHHz+MTp1K+fzz77j11o9+MWaM/KIp99EQSjp2ZMjhh4MqUloKlU0/DmLnxfJ0796BLbdcheHD+zFgQI3Xbb77bgl33jmp55QpC/47ZkzzfoSd+vRhwI47ssoWWywbQM3D9xs+nFnvNZ2PY+dF7dh9pOkoOgenJSkvr+C775awcGHzrAFcMn8+S777jo49eiAdOzbLPoz6o6pst13/Gm9KCxcuZeLEmbz00jTmzFnc7LZ07N2bDY45hi6rrlpj/byyMma++y6z3n+/2W0xDKN2pk5dyH33fcr22/fn3ns/oaKidTyzrHvAAfReP4jprLPXXnzx+OMFtqh90LVrKTvssDrduy9/T581q5w0nU6aTqe8vPkn3nsMGsR6P/kJpZ2X10rSykpmv/8+MydOZM7HHze7LYbR1JiDs5KoKjNnhrU4M2eWr3iDRlCxcCFzJ09m3qef0rV/f7qvtRYde/Zc8YZGs1BZCX/96/usvXZ3+vXrTOfOpSxeXMGXXy63LqtZKencmQ2PP76asMTiuXOZV1bGgq+/Risr+e6zz1g4bVodvRiG0VJ89NEcPvpoTqHNWEb/7ben3/Dhy95XlLfc9au98+235Vx55bsMHtyTHj060qlTCfPmLakpEqRZ6bbWWqx/9NHVZm0WfvMN333+ebh3lJQw8913qViwoMVsMoympOgcnJqmuETkcOAfjel38eIKpk5dwNdfL2DRooqamiwlaNf/SlU/auh+ROSHhHjtLXJlWlnJgqlTWTB1Kh179aL7mms2VY6bNVR1alN01JoppulwgMT73wCXx7dLgNM69ep186f3399yd8cioDnPC+eaq+eGk3i/bOqg2H4TTUl7+GwS7/8JHBjfPvjVs88eVEh72gLFdl4k3j8M7Bfffg0c07V//+ff+9OfWscUYxvB7iOtl6JzcJqDigrllVemUYsu2nTgz8CFqtroB0xVfRx4XERWIwgPHEZY0wPAkrlzmT13LlJiCt/tmF9mXp+eOndDwSwxDKOt0ynxXlLn7MG2nZB4P5Aq5wZg79Q5S2tgFBX2lFwDixdX8vbbM6qV5Tk3CrwO/EBV+6vqmKZwbqrvT6er6kigG/AzoKxafWZBaPmsWcz5+ONqZUZxknhfAqybKbqtULYYhtFmeSrz+kfAVYn3yyV7M4qW7D3kTXNujGLEHJwMM2Ys4oknvuDKK9/hsce+qKnJfOBvwCqquq2qPt/cNmngRlUdDAwn3JiqxchVlpcz6c47ee+665j28ssstZjZYkaBrCe7/OpQwzCMuvkr1QdHzgAeSLzvXkt7o7jI3kO61NrKMNow7d7BqaxUPvhgNrff/jHXXfcer776TU1rbD4GjlXVHqp6sqrOKoCpqOp7qroXYVbnQqDaNFP5rFl8+dRTvHPllZQ9+CDzv/qqEGYazUgMI8lKo40qlC2GYbRN4nXkZ8D9meL9gTviLLFR3EwirBsG2Cjxfo9CGmMYzUG7XYPz3XdLeOONb5kw4dvaZH0/BSYSknVOalnr6kZVFwPnAueKyAjgd8BWQB8AXbqUGW+9xYy33qLbmmvSf9tt6bvJJpSY1HSxcDVwU3z9+8T7tYAXgPVYPtHnw6lzza9bbRhGmyJ1blHi/eHAJcBvY/GBhPvJRbVuaLR5UuemJd7fBYyMRQ8m3l8FfEB4lsgm+rwP+I+t0TLaGu3OwZk9u5z77/+U996bRWXlcr9XBf4F/Al4SlVb/aIWVX0aeFpEugE/ISxA3zJXv+Drryl78EG+ePJJVt1yS3Rp8+TsMVqUO4BTgFxGsBPiXz4nA2OBE1vILsMw2hCpc5XAWYn3qwDHx+IfYw5Oe+BCwvqrVYHuhEHTmjgDOA64tWXMMoymob1MRV+fe/H11wt4992Z+c7NAsKU7RBV3U9Vn2itzo2IHCUib+eXq+oCVR1LeOjdAbidMJIPhJw6015+2fIdFAGpc+XAz+vZfIfmtMUwjKKgrNAGGC1L6txHVKUbWBF2HzHaHA1ycETkBREpF5HvRGSOiLwlIoc1tXEtwKuEKdpVVHV9VS0rsD2IyBARuVdEpsbP9wsR+aeIdAJQ1TtVdfNM+3EikgtXyokSvBoV2NYmhBt8Vsvu3o3f3wQRObCWNkYrI462PlaPpkpwdA3DMGok8f5gYHSm6M1C2WK0HIn3u1C/mbqFwL3NbI5hNDmNCVE7X1UvEJEOwKnAXSLyZmtbr1IDC4G7gD+r6huFNqYGHiMopQ0jrKNYC9gXWOmESqo6HbhURP4I/JAQvrZ3psmuhAXr+wN/F5GdVfX1RllvtASnAKvF1wuAnxLW22wLbAaUE86d51LnPi+IhYZhtGoS7wU4kzCKn7u/TKR6ni2jeBkN5KTBJwOHA98A2wNDge8IQkaPp87NKYiFhtEIGr0GR1WXisjfgKuALYBJcT3IH4BDgN7Af4FTc86PiHQkLGo8FliT8KM6S1Xvjw7TOYSYzz6E0aQzVHVi3HYc4Ue5BDiYsBDuN4QH9b8BGwIpcJSqfp0xdSYwB+gf7Vym+S8iY4AdVXWP+L4MuBHYHdiOMH1/sqq+HOt3J4x8bEBQInkWOF1Vv4n1RwCOMIOyAHhcVY+LdasAlwF7EuQZnwdOU9VpsW4YcLCq5i4oXxIkPXO2Hgecq6rrichZwFGZfQL0VtWKOCNzHuFCNQW4QFV/KCJDCeFNxwMzYijegyIyEdiRkN/HaN1kw9NOSZ27J75+Mv4ZhmGsiFHAHzPvJwEHpM7NL5A9RguReD8EGBHfVhISfeYGp+8rjFWG0bQ0eg1ODJ06Jb79KP6/ieBobA8MAF4DHo2ODcAFwNHAYUAvYBeCFDMEx2ckYfHbGsB4wiL6XpndHkqQt+wHnE9wbP4AHASsTgjNGZNpv5Awqn1Y3OY+4LG8PvM5Hjid4KA9TfUFduWEWavVCKpVawLXxM+jGyEs6Jeq2pOgRjI21gnwYLRvOCHZ1jzCjBKqOgN4D7hJREaKyMZxmxpR1cuAO4Fbo4R1j+jcjIj7HBWP91jg+jhDM1lVf0twvmZEuwYAmwDv1PF5GK2AmIxvrUzRPbW1NQzDqInE+92ovv7iJWCH1LlPCmSS0bKsnXn9Rsa5MYyioTEOzmgRmU1wHi4ATlTVd0RkVYKa1y9UdVqUNPYEZ2W7+MD+S+C3qvpOXDPyparmHq5/Clyqqh+oajnBcakA9sns+zlV/VecfbiNoABye+xnAcGB2SbTXoGxqjoh2nNptHvfOo7vhph3poLgsK0nIr0BVPUlVX1dVZeq6lTCjMzumW2XABuKSD9Vna+q42P51vHvl6o6J9p6FvADEcldcHYlSP6OAt4CponIeXU5OjVwBnCNqo5X1UpV/S9BeSsnCYmqLlTVJSLSneAsPqyqz67EPozCUEn1RK91OemGYRg1cTpVUQxvASNS574toD1Gy5KVU+0dwxUNo6hojINzoar2IUgMPgb8IJYPjv/fEZHZ0QmaCXQE1iHMenSnarYnn3WAZaNI0Ykpi+U5pmTqF+SXEcLCeub1W5bZRoHPqT6KkU+2v9yUfU8AEdlaRJ6MQgBzgb/H48rZ8yPCWpfJcQH/kXH7wYTM89Myn81kYBEwMG7/raqeo6q5vDZnAb8nOH71ZTBwdm4fcT/HEWaaliEiPYHHCSGCI5frxWh1xFwEWRW9swtli2EYRcGE1LlFhTbCaFE+IkSiAKwPHFBAWwyjWWiKNTizROREwsP8AcArsWr9uMi9GnEmYj7hR/Vxfj3wBVVOEiJSAgyK5Y1hUJ4NAwnrWxrC3YRZosNUda6I7As8kqtU1ReAF0SklLCA/34ReY2gZjYf6FcfGeroLI0TkdMI64ZqoqZ+PgPGqWqtEpAi0g94guBMHq2qliCn7XAlYUYO4MzE++HAi4TwzPxEn3enzs0riJWGYbRWyjKvRybeP5g692ihjDFaltS5bxPvbyXkSgP4R+L9vYTBs41YPtHn46lz9oxgtCmaJA+Oqs4kPHRdRPhB3AX8WUTWAhCRPiJykIj0iLMnfwEuE5HhElhLRDaN3Y0DzhKRDeL6ntEER+xfjTTzeBHZKiNw0K0RffYiCBbME5GBBClmAERkdRE5RER6x/C22bGqgiB+8BZwTRQUQERWywkEiEhfEbk4fi4dRaSDiBxCWK8znpqZCgyJjmCOq4FRIrKTiJSKSKc465TE/QwgPBC/TxBjsAtX2+IewveXY09C0rbTgd2AvQjrzW4kJK01DMPIMppwL4IQXfFQ4v1pBbTHaHkuomqQtxNBsOgyQrTILoRIlJHAw6xcBIlhtAqaMtHnNYR1NiOBk4APCbMY84B3CQ9cueyaowkPaQ8SFtm/SJjRgbDw8e8EqeRphNC3PVV1biPtuxG4FphFyNS8T0apbGU5mZAdfh7wANU14ksIa4zK4rH/CThWVcvirM2Bsc2EWP8aYd0NhJH3/rHPmcB0Qnbh01S1Nh36mwghfzNiOFqpqj4Vbbyc4HBOIajc9Yjb/IzgNB0KzIn5dr4TkXMa+HkYLUjq3BKC0mB92LI5bTEMo+2ROreAIMrzaSwqAa5NvD+rcFYZLUnq3GdkFFpXgN1HjDaHhAkVwzDaCon3AwgDCCsSGFgM/Dp17vrmt8po7STeL7vYp87ZomKDxPv+hBH67WJRTjL46cJZZbQEifd7E9bgrogZBPnw/zSzSUYboC3dR5pyBscwjJbhVKqcm9mEELXOhIeUkwizqAcCa5pzYxhGbaTOfUMIa82tnS0BLimcRUYLko0CeJcQRdMb2IMQ5XEUQSxpLXNujLZIo0UGDMNocU7MvD45M9r63/hnGIZRL1LnFibe3wXsEIvsuaDISbzfANgpvl0K7JM6lxNyejb+GUabxmZwDKMNERN9rp4perBQthiG0fZJvB9EEN7JMbMwlhgtyBqZ129knBvDKBrMwTGMtkUl1ZO0rVYoQ4oBERkkIppJtFv0vHnhhYjIDitu2X5pL+dF4v22BKGbgW9eeCHfff75fEJ4UrtARAZGgZ01V9x6pfpVEdmxKftsYsozr1drbKJPEXlPRH7cSJuMZqa9fU/m4BhFg4i8ICLl8YY1R0TejDLbDe1vjIg805Q2NpaY6PP1TNGYtpSFOvMdzYvf0ScicruIbJ3XRkVk57xtJ4nIcXllIiIfichcEelBHlEi/Zx4YZ8fk/M+LyKHNttBFhARKRGR80Tk4/gZzxCR/4jIbrk2W44ejaq+EtvvKiKtQia+ht/vWyJyWF69nRcNoKbzokPXru/O/eST8QTlTrYcPXpxj4EDf5w691FLnBet4Xqtqp+rag9V/Xol9iMicoqEJN7fich0EXlVRE5e8dathg+oSmA+GDimrsbxeCfG39MsEUmzD8qquomq/iO2bdWDAy15DyrU9bW27yD7PbUHLNbWKDbOV9ULRKQDcCbwDxHZWFU/yjUQEQFK23D+nysIydcgiArsnHj/EtCFIP+dTfR5S1xI3Jo4X1UvABCRdQnH8KqIHK6q/4xtZgB/FJHttG6px90ISem+A34C/C1XISHR7r+AtQnS7a8AS4Cd4z7vy++sCDgbOBLYX1XfF5GewPeBhYU1q95kf7+nAneJyJuqOinW23nRMKqdF0MPP3yYdOjwaknHjp1i/QzgwNS5l1rYrrZ4vb6ZIOxyKuEauwBIgDGEdBStntS52Yn3Ywm50wDGJd6fArwBrEUm0ednjz76BXAwcABhjWcXwvF2bXHDm44WuQcZhcVmcIyiJN4M/wyUApvG0YwzRCQl3pAkJFL9fRzBmSkiz4rIcIA4OnUOsKtU5QkaEut2EpGX4jaTReTX8SaMiHQTkQfiiPBcEXlDREbk7IojK09KyFk0K44CDsvUnxRHynIjmnvWcHgPAo9k3g8DTiCo3mwObAPsTlBDuq6JPtJmQVU/U9VzgduA63KfI+EmsTbhhlEXPwOeAG5n+dCanxAeWvdX1edUdaGqLo2va+1XRA6M38tsEXlfRI7K1K0tIk/EUds5IjI+N/InIv1EZJGIbJHX34si8vv4+ggReTueG1NE5AYR6Z5pO0BEHol9fyQiJ8Rzd1CmTV3nyPeAR1T1/fj5zlPVJ1T11VyDCWPGICI7SgjLeRwozZzjx8Z9DBSR+6KNU0TkxugstQjx9/s3wiBc9vO086IJzou+m2xyXp9hw/r0WGcdCLnSdpgwZsz4Qp0XBbxeVxvpljAL9KyIXCQi38Q/n/mMdwSOA45U1X+q6neqWqmq/1XVH2NWTHMAACAASURBVNV2fCuwodZ7RjzmKSJyQF5/t4rIzfH17iLymoT7yXQRuVtE+mfa9hSR2+K+PxORkSKy9IOxY18EPgaY/f778v4NN2z/1sUX/+K9668/YMY772wKbA/sKyUlp3Tp3/9rVX1NAwtVdXzMt5fbR5mIHB3fvh3/fxi/h/Nim1VEZKyIfBHtvEdEsutJC0Iz34PqRER2id/dHBH5QER+lle/Wea6MlNEns7U3RI/y3ki8j8ROTKzaW3fQfZ7qnP/Emefeg4e/JsO3brNKu3cuaLPhhsurCivim5MvH8l8f43ifcDV+a4WwpzcIyiREQ6EUZnl1D1Yz+BkOS1B/AmYWHtSELG5jWA8cDTItIrTuNeBLwQQxh6qOonIrIJ8BghiepqwD6EkbzcFH8JIVHr+sAqhKS194tIbq3MRcDnBKGAVQkZomdHm08mjLQeBfQlJMR9QETWS7zfN/H+BwCpcxXA1fX8KDasqzLxvlfi/XmJ94Wezb2bMHKYc/bmA78HLhKRzjVtED/TAwkjqmOBrSUTZkD4Xl9X1Y/ra0R8sBgLjAL6AccC10tVqEIJ4UFsXWAAYcTzARHpqKozCTlFjsv0N4Qwg3JrLJpDGEnvQ1Ax2omQzDfHnYQZuHWAHckLHck/R1b/3veeQuRBEVkvNvk3cKKI/F98qOpOLcSwnB8CFZlz/FYR6YLIC3023LBvhx49hgAbE27019TjI2wS4u/3lPj2o0yVnRf1OC8G7Lzzi3WdF0sXLcrm0LondW7ZZ1HneVFS8mLvDTboRRixbrLzooDX65rYmXCNXhPYDzhHRL4f634EfKWqL67EsTX4nhEdv9sJ94lcfz2AQ4BbYlF57G81YNNod/Y7uYbwfW04fNSo60s7dz4cKJ3/xRczgXvmTp5M2cMPs/bee7P52Wcz6MAD+eKxx5hXVgZAz3XXZdG3324mIhdEZ6rPcsdYUtJhtW233T2+3Tz+Hxa/h/Oj0/AgIdn7cMLvZB5wV30/xxagOe5BtSIigwmO0V8J3/txwMUSw3JFZA3gxfg3iHBduTTTxUuEwZ8+wB+AcSKycaxb7jtYmf0n3vcZuM8+xwClnfv2vXzTUaP6DD/99JJF06d3+ea117LdbE84rz9LvH8p8f4Xifcd63P8LYE5OEaxMVpEZgNfEqbUD8mEt/xRVSeraoWqlhNuGpeq6gfx/R+ACsINqDZOAe5V1YdiPx8A1xNuvMQRvTviyPkSVb2c8GCyTdx+MeFCNSRu/46qTot1pwN/UNW346jgY8DznXr3PgW4A3gm8d4l3q9LCLFZEXOAq2qrTLzfEpgQj9vX1q6F+DL+XyVTdsv/s3feYVIV2cN+a/LAMMQhipIEJCjIlaAoiBExIKyKGcGEuD/DmjbonVqzu2tY8yrqp64oLCYUV8yKImujgEgSkChBMgx5pr4/qnrmTtMDM0zo6Z7zPs8807du3bqnu6tv1akTCjsI3lDCNVdg3+NEY8wM7CQo6AefA6wsoxw3AI+5FcoCY8z/sJ99+PtdZox51xiz3RizAzsJPRQ7OQnLfLFSKvyQHw58ZoxZ6q7/wBjzk2t7IXZSfBJYKwAwALjVGLPFGLMWiByYCvtIj9zcroeceuoNddu1y6jXseNjLhbr767O8dhJ9Qal1DtKqZal/QDqHXHELWnZ2Ye2HTZswFG33HKNMWYjcKd7X8ml/iQPjvDvdwdwD3ClMWZWRB3pF/vvF31bDBjw++x27dKy27ULT4iK9YuZDz00aOHYsezevBngXE/rA/aPBkcddWdadvah7S666JQeubm/q6B+EdPndQksMMY846x604AZWJcsOLi+U94x40XgjIBV5nzgV2PMV+76KcaY75y8q4GHKOo7SVil964eubnHpter91DHq68+AaDpCSccD/x57bff0rhXL+ocdhgqKYnahxxCgyOPZP1Mq2fW79x5Sb0OHf6AVWhfA9YrG6/WBcDT+oLUOnWa127RYrin9cASPoMe7m+0MWazMWY7cBswQFWfWJ3KGIP2x4XA98aYF9139y3wLEXbQFwKLDTG3G+MyTPG7DbGFMaYGWPGGGPWuz71OjAL6F/Ke5d4/5RatW4BZmY0ajQCoMXJJ5Ocnk5qVhb1OnZk+68lhqsdBzwJfOVp3boMclQasV61FYSK5l7jfGujsCTiuCWwOHxgjClQSi1x5SXRGvtQHhIoSwKWAyilMrEDzCCshaYAqENRtrNbsZOCiW51/T/AH40x21zbTyql/hloO6VWixZHYjdgA+vnPQLrBw2wGjgbCAFtgSOxK3pbgFDI9/eJvXAT4Wuxyk94ZeqPntavhXz/p/2898okPMitDxcYY/KVUrcBY5VSY4KV3YrgVcCrxpg9rngM8IBS6g/u8/wNO8ksC62BE5VSNwfKkrGrxSilGgEPYweSetjvF4q+38nYyclZSqm3sJOYPwbkPgW7KtgR+9knA+EYqRbu/7LAvZdGke9JpdQ/k9LSspRSyaaggAZHHXUG8GaP3NwRId9/FTv5xq0mvoC1AOwXT+sk4LbaLVroTfPnJ824/36AR1RursauvBqscl7WCV5ZuNfYmIz62O9zgPtfiPQLYP/9oo5SKsn1iyGe1v+vR27udcF+0fDII8/ZvmbNhF8mTEjuMGJEM2wmtag46+7dmY0b37Hhxx9x/eJllZv7BOXvFzF9XpfAqojjPOwzHGzfaUHZKNeYYWws3ffAJdg+dgVF1pvwb/w+7Kp9LUBhrV64NtJqNWu2BmsZIr1evToAdQ477CaAXZs2seWXXwpWff75NsCgVDJKpaTWrv0j1qo2feOcOQU4q5BSqiNWAX+/R27uJKXUtYH39XxGo0Yn7ly3LtpnkA6sUYUeYADsxP4WV0ReEAMqYwzaH8X6s2MRVtEHa7VZQBSc4pqLtXA2xf4Ga1O2rKr73L/BUUc13b5yZc/AjciqW5cTOnTgtC5deG/nTqZPm8a7t9/O1p07mb5kCZNnz+Z/ixeTXxSm1Av43tP6nJDvf1kGeSocUXCEmkRBxPFy7IMXKHxotKJo8IusD3Zi8YIxZnQJ97gZ6IddQVtijDFKqXXYQQdjzG/YldT/c24q72BXsu5ybfvGmPHBBj2tm2FXzvq7ouDk7KqQ74ezqi10fyXiaZ2N9S0+P1C8zbUTK+UG7IN6JTA/WGiM+UAp9T/s5xPkJKAdMEIV+R6nYAf2i7DBvpOAMUqpdoFV4QOxFHjJraJG436se0wvY8wqZeMPtlD0/eYrpV7GrtBvxiqmb0GhG87b2O/7BWPMDqXU9cAtru3wBPFQigaeyIl4YR9xq2RvULTSOxjo7ml9fsj3/+fkma6Ueh64t4T3UwDgaZ2D9UE/Pa1ePTIaNqTz6NHrgctCvj+ppA+rsjDGbFRKXQksUkqdY4x5J+K89It95Qv3i87AeOAId+4y4BjXL2YDrJ81653stm2fzVux4jpXpxlA4z59umNdX8L9oiV2YnxcWt264X6xErgw5PtfleqTO3iq4nldViYBf1RKHR+2oJSCco0ZjheB0Uqpd7FuQcMC517HLpSdZ4zZopQ6k6IYzd+A3dtXrWoCnAmM2715cysAlZRUHyCtbt2CvTt23LNn61a/NG/GGDMvu3XrN7YuWfJM/o4d16bUqgVAwd69a4Czdq5bt7OEzyAPaGCMifY9VQcqYwzaH8uxLo9B2lDUn5cAJWV1vBBr6TkVmOOU/RBFfaY0n3Gx+3taD0qrU2f43rp2LTUzLY2kpCQ+uvVWaqXZXCSfp6eTnJREnYwM6mRk0LxbN87q1o2NeXlMmD6d5774gvyCArCLPBM9rXuGfH/+vreuGsRFTajJvATcppRq7yYZf8Y+oMLuX6uBQ925ME8Bw5RSZymlUpUNAu2klOrnzmdjLSjrgTRlg4gLfZaVUhcopVq71Z/N2FXdcHagR4BcpVQ3ZclUSvWdnptbFzgZ60YWmc2lp9v884A4l7TvKa7czASODvn+66Vpo6JRSrVUNoh3OHCDMVGz1dyKNfsHV6euxsYVdMT6IXfD+na/SFGg51jsCvs7ygZMZiilkpUNrCzJ9/tR4EZl41eSlU0n3EMpFXZRycYGPW9U1hf+wShtvIiNYbgdGGuMCQ/4aVjL20Y3ie2E9Z0HwBizAvgcuwJYx7mk/IXiFPaR6bm5S5a8++7J62fNGrfzt98AWPPNN4dtXrDgm6433fRHT2ullDocO8EtaTK2GkjeuX79j8DpAPXat6dg9+6ds/7xj+dd4LlSSrVQSp1bQhuVgrGxKw9jfeCjjVXSL4oI9os5q7/++viNP/00KdAvjti8YEGoyw03jA73i62LF/dMSkubhosBBKjXocPdzgXW9osNG2ZiXU+o1749+bt2bZ/50EMvTc/NnRGDfvESFf+8LhPGmClOjteUUucopbLc59BDKfVeCZeVa8xwvI6dTP8T+MgYE7SWZWPHkq1KqUOBOwLyFmAXx3Kn5+YuWT1lyvFL33uvmLWkce/e5O/ceX1JfVspNUIpdZ6yVkraX375aJWS8mRGTg4B5Wb7r59++peQ73+PVaoKKHLPBOthMAN4TCnV0LWbo5QKKmoxoZLHoPA9MiL+UrDPoR7KJn1IUUr1dNeFLUWvAh2UUrcrm4giVSkVjnPKxs4bfgOSlFIjKIq7gejfQSSF9z/y5pvbbFu+/I3fpk+nYffutG/alLvOPhsFhcrN/qhfuzZXnnACY0aMoGFWYabsbOBtT+uM/VxaqYiCI9Rk/ob9kU8G1mDdYU41xmxx58djVzlWK5s5qbUxZjZ2JexGrCvDWuyAF37wPYydMPyKNTdvp7irRXds0OA24CeswvF3AGPMc1hXhReBjViXlDuB1JDv54d8Pxc4heLcCXzkrDxR8bRWntbXAd9i3djCPA30DgYYVxF3Kpv5ZQt2gGgHHGuMmRCtsjFmJnaAzwZwE7zBWB/91cE/7MSyu1LKM8bkY1eoXsNOMjZgV+h87Hcb7V6TsQPX37DZpVZhJ4/hp7aP3TdkPdbn+RtsHECwjQXYdKqnYN3DwuXbsP74DymltmH9lSMn1Bdh3UxWYFfSw3Lucm0U6yPrv/9+0ZI336y3denSG4BNyenprPryy+S5zz573/f33LMHpT7FxlldHvlePa2TeuTm/i7nmGPM/DFjmsy4/37Wz5xJUlra/aag4Ig9W7cegt0vYzPwCcWzmVUVj2GtC/vETEi/AEroFys/+mje4vHjU/J+/fUvwHbXL9LnPffcE9/fffdu7Pc5fe+2bWcCfbDKAUqpusDzPXJzR+Yccwzzn3++vusXBUlpaXfk79p1xN7t21sRm35RGc/rg2EE1mLnu/bWYmNq3olWuQLGDIwxm7EWv4EE+o7jauxq/lZssoLIPnwDdixZsPLjj7/eunixD6BSrANP3Xbtktqef36D9Pr1xxO9b28ErgPmJqWk7Fny1ltPpGRmJre76CKw/W/U3ry83/bm5e10su7Ajktj3ffwZ6doDcbOOacrpbZi3SL7R/vMqoAqGYPc5cnYmMLg3xPGmF+wz6Hrsc+NV4C7jDHj3D1/xX4+p2B/92uwiyNgk5NMw3psrMTGRxUuYkX7DqK8p8L7z3788XlL3n67dvMTT6TTccfx5CWX0KBIUSk1XVq04LGLLiI9pdA5rCM2WUhMUNGVVUEQqiue1l9j074GWQtcHPL9jyPq1gWep7ipeytwZcj3x1WqoEK5UUqdhp04ZZawsliIp3UrrMtaz0DxMuCCkO9/62kdvL4JdkANphJeB1wa8v3/VoDoQiVSxn7RCTvp7RQongecH/L9H12d/6Mo89Z2rDIVZiUwLAZ75AiVgLLbEszrevPNeWnZ2ZFZFqdjnxeLgoWe1h2AcdgYzzALsX3oh0oVWKhU3OLoMlzIyjOXXYbXunw5Al6dOpVHJxdmEV8OtAr5fpW7JoqCIwhxhqf1ICCaO4TBZp7SWPP00dhBqU2gzg/YQam0sQdCFaKUOgr7Pf6IjTd4A+tjvY8FJhqe1mnY/Y9uChTvxa78/SNQtgoXd+H4ChtXUZkJBISDpAL6RW3snlhXBIp3YlePX8Gmiz0xyqWTgMtDvr9P1LgQHyibDjicSKIR1spXu0du7rfYuK9ItgAjQ77/H5eQ5kJsdq/gkv4bwNUh398S5XohjvC0vhiXfOTIQw7hhZHlN7js3LOHMx5+mC07C8OxOod8f065Gy4j4qImCPHHB7gHUgQKa5behDVhf0Nx5eYp4FhRbqo1DbBuJtuwrkizKDlF6T6EfH93yPdvxrpPhGMrUiiu3EBx5eY+YIAoN9Wa8vaLvJDvj8C6Km53xRlY6+489lVu8rFK8Vmi3MQ9mdiA981YBXk71uXxIWxcTCTZwHhP69VYRebfFCk3u7AZOC8U5SZhKPQGObZdu/3VKzUZqan0aNUq6j2qEsmiJghxRsj3CzytL8euwv+BfRcqsii+kd1W7Ipc1PgCofpgjPkM6w9eLkK+/45LKvE6Nm1nNNYBl4R8/8Py3k+oXCqwX7zsaf0d1mWtsyuO9EdZgXVJ+7q89xNijzFmDjb4fR88rftjnxGnRzndBDgvcPwz1vofTSkS4pfCfX8OadCgwhqNaKtRhTVcBsSCIwhxSMj3C0K+fxt21+WnsYNPNDYBx4hyU/MI+f4S7K7s0WKtFgPdRbmpeYR8fy42TuujKKdnAd1EuakZhHx/c8j3B2LTVP+Hor2XIvkB6CHKTUIS3sOH7bt3V1ijO4q3taekepWJKDiCEMc4d7PR2Cw+0R4i9YB/eVo3r1LBhJjj0offTvS9FNoAT3taN4xyTkhgXJzW3eybkRFsEPk/Pa3rRDknJChuQ8bLKdo/J5LuwIOxTPkrVBqF+9/9uKLi9ludVbyt2RXWcBkQBUcQ4hhP63rABGwGpFRXvBW7EhvmBGCGp/VpVSyeECM8rZtgA8f/StFzfj0wN1DtTOAHT+uY+EcLVY/b4+ZL7OaSYVZRfEfzi4CQp3VwXw0hgfG07ohNQhCMMF9K0aaTYFOZT/W03t/eKkL88WX4xadz5rB5x45yN/jTypUsWL06fFgATC13oweBKDiCEKd4WvfEug4EN9qbjl1tOxqbcCCcmjEH+K+n9b2e1hJ7l8B4Wp+IDR4+OVD8BXZ1/ijcvkuOlsCXnta3elrLeJDAeFqfg+0XwZis94Cu7u/5QHl7YJqn9dUuk5aQoHhaX4rdiDMYp/MaRf0i6N7cDfje0zrmG3QKFcY03MJX3u7dPPnJJ+VqbG9+Pg9/WMzzeVysElJImmhBiDPchOP/sBvfpQZOPQ7cGvL9XYG6/bCb40lK4ATHuaT9GbsBYVhZCacO/2vI9/cG6p6JzbQXjASVlMAJyH5Sh98BPBzyfROoezE2JXBwf5TXgWska1Zi4WldCztmjAgU7wR+D4wJ9ws33lwLPAoEt7V/Frgp5PvlX/IXYopTWMeGj28bOJDze/bczxXRKTCG+997j7e+/z5cZIAusUgRDaLgCEJc4WldH7uT9eBA8WZgRMj33yzhmsbYtNJBn3vZ1DGB8LRuik3nOiBQHHXz18A1h2Inr30CxZJBK4E40OavJVzTAbtq3zVQLBm0Egi3+es4ijLpAczHfsezSrimu7smmM1vprtmQWXJKlQ+Tol9g0DWvPOPOYYbTj2V9JTSOXxsyMtDv/MOX/9cLN/Rn0K+f3+FClsGRMERhDjBuaSNAw4LFIewk5XF0a8qvDYJu2J7N8VdUx8A7gyu7gvxhaf1AKxLSZNA8efARSHfX3WAa1OxFp7ghn/5WEvQ32Kx+7RQMXhaD8Zu6lgvUDwRGB7y/Q0HuDYTu2J/daB4F3Aj8GzQ6iPEF57Wl2Ezb9YKFL8KjAr5/rYDXJuN3VPngkDxNuymn2OjXyXEA24z4M8BL1zWJDub07t25dQuXWjfpAlKFfdWzS8o4Idly5g8ezYf//RTcGNPsGPSJbF8VoiCIwjVHLe6ciN2Y7bgcspjwO1Bl7RStHUC1hQdzKo2BeuyVnEpVIRKx7mk3Qnchd3kFaxLwF+Bu0O+n1+GtgYBL1PcZe0D4DJxWYsvnEvaQxTfCHQvVol9tCwTDk/rC7ETWtnFPs5xE9gngOGB4p3YLJwvlrZfuPHoGqwCnB449S/gRnFZi19c9sSXKe4hAsBhDRvSqXlzstLTyTeGrTt38sPSpazbFlUn/hvwx7KMQZWBKDiCUM3xtH6R4oPSZuCKkO+/dZDt5QCvAMGsauuBviHfn3ewcgpVh5tkTAQGBYrXYq02BxUl6mndEuuyFsyqthLoJfFa8YFTer+iuNvhMqwb0bSDbLM91nIczKq2ELu/1qaDlVWoOpxF7juKu6TNw/aLHw+yzW7YfhHMqjYD6F2WRTehehGIubqP4tbf0rAMu/hRLfZXEwVHEARBEARBEISEQdKCCoIgCIIgCIKQMIiCIwiCIAiCIAhCwiAKjiAIgiAIgiAICYMoOIIgCIIgCIIgJAyi4AiCIAiCIAiCkDCIgiMIgiAIgiAIQsIgCo4gCIIgCIIgCAmDKDiCIAiCIAiCICQMouAIgiAIgiAIgpAwiIIjCIIgCIIgCELCIAqOIAiCIAiCIAgJgyg4giAIgiAIgiAkDKLgCIIgCIIgCIKQMIiCIwiCIAiCIAhCwiAKjiAIgiAIgiAICYMoOIIgCIIgCIIgJAyi4AiCIAiCIAiCkDCIgiMIgiAIgiAIQsKQEmsBYo3WXjrgA1cCOWW4dAXwOPAP3w/lV4ZsQuzQ2ssC7gUuA+qV4dJfgL8DT/t+yFSGbELVoLV3OvBBJd9mse+H2lbyPYQKRGvvUuDlSr7NNN8P9a7kewgViNbeTcDDlXyb930/dGYl30MQEoIareBo7R0OvAF0jzyXldWIOnVySE1NZ/fuHWzZspbt2zcGqxwCPAgM1Nq7yPdDq6pGaqGy0do7ChgHtI88l53dhKyshqSkpLF793Y2bVrNzp1bglVaA08Cp2vtDff90IaqkVqoTDIysmnadJ/ucFDs2bOTlStnV0hbQmypXbsBOTltKqStXbu2sWrVvAppS4gt2dlNaNCgZYW0tX37JtauXVghbQlCTaLGKjhae92Bj4EG4bKsrEZ07nwKXbueRvPmnVFKFdYvKMhn2bIZzJ79IXPmfMKOHZvDp/oD07T2+vt+aHEVvgWhEtDa6we8D9QOl9Wr15zOnU+lS5dTadLk8Ih+sZfFi7/jp58mM3fup+zalRc+dRbwtdbeib4fWl2V70GoeFq06MwllzxeIW1t2LCCxx8fXCFtCbGlbdtenHvu3RXS1ooVPzJmzBUV0pYQW444YgCnn/6HCmlrwYKvGDv2pgppSxBqEjVSwdHaawy8i1NukpNTOeWUGzjmmPNISkqOek1SUjKtWvWgVaseDBx4G199NYYvvxyDMQUALYF3tPb6+H5oW1W9D6Fi0dprDbyJU25SUzM544zbOeqoQcWUmiBJSSm0a9eHdu36cMYZt/PJJ08ybdrY8OmOwH+09gb4fmh3VbwHQRAEQRCEmk5NTTLwPNbFjPT0LK644jl69RpWonITSXJyCv37X8NFFz1KcnJquLgLNvZCiEO09hTwb5zSm5XVkCuvfIlu3c4sUbmJJDU1g9NP/wNDh96HUoU/reOAOytDZkEQBEEQBGFfapyCo7XXE+s+BCiGDr2XFi26HFRb7dody6BBdwSLRmrttSqniEJsOB3oA9Yqc/75D9G48cHFfnfpcionnTQ6WHSj1l7D8osoCIIgCIIgHIgap+AA14dfdOlyKocffly5GuvW7WwOO+zo8GEKcE25GhRixe/DLzxvKC1bHlWuxo499tJg8HEWMLxcDQqCIAiCIAiloiYqOP3CL3r1GlbuxpRSke30K6muUD3R2ksB+oaPK6ZfJEm/EARBEARBiAE1SsHR2msEHAo2XqJ58yMqpN2ABQegh4vnEOKHdkAdgDp1cqhf/5AKaTSyX1RIo4IgCIIgCMJ+qVEKDpAZfpGRkU1SUsUkkcvMrAsU6jRpQOmyFQjVhVqFL2rVL3VSgQM2WqvY/qC1SqonCIIgCIIgVBw1TcEpTOG8ffsm9u6tmMy9eXnrgcJN63f4fmhvhTQsVBVbwy+2bVuHMWZ/dUvf6NZ1Ue8hCIIgCIIgVB41SsHx/dBGYCFAfv5uVqyYVSHt/vJLKHj4vwppVKhKFgEbAfLyNvDbb4sqpNElS6RfCIIgCIIgVDU1SsFxfBZ+MXXqv8vdmDGGqVNfjdq+EB/4fqgA+Dx8XBH9Ij9/b3DDT5B+IQiCIAiCUCXURAXnMZw/2YIFXzFr1qRyNfbNNy+zatW88OFO4NlyNSjEikfCL2bMeI+ff55SrsY+/fRJNm5cGT7cALxcrgaFmLJhwzI2bFhR7naMMSxaNLUCJBKqA2vWLGLLlrXlbseYAhYtmlYBEgnVgVWr5rF9+6Zyt5Ofv5fFi8X4LwgHQ41TcHw/9BN2x3oAJk6896AnszNnvscnnzwZLPqn74dWl09CIRb4fugr4L/2yDBhwl9YuvSHMrdjjOHbb8fyzTevBIvv9/2QxODEMRs3ruTppy9gypSXyM8/uBC7DRtW8Oqro5k06cEKlk6IFWvWLODJJ8/ju+/GY0zBQbWxdu1CXnjhSj7//JkKlk6IFcuW/cATTwxl5sz3Dzqmc+XK2Tz33KWRngCCIJSSGqfgOEYD8wD27t3Fa6/dxMcfP8Hu3dtLdfGOHVuYOPFe3n47NziofQ3cWSnSClXF5cAKgF27tvHyy9fy1VcvsmfPzlJdnJe3gQkT/sSHH/4jWPwe8HCFSypUBVOAR4ECsM+KTz55gueeu5SVK2eXupH8/L1MmfISTz99QeRq7HLg/ypSYKFKeA8YEz7YvTuPSZMe5IUXrmTt2oWlbmTPnp188smTPPvsxZHxoAuA2ytMWqGqDsRkbAAAIABJREFUGAuMCx/s2LGZt9/2efXV0WWy/u7alccHH/yN55+/gjVrfg6emgnkVpSwgpDoqIrKGBVvaO21Az7B7YsDkJKSTocOJ9C586kcfvixpKSkF9bfvXs78+d/yezZH7Jw4VQKCoqt4s4GThHrTfyjtdcNmAzkhMvS0mrTsWM/unQ5jTZtepGcXJRefOfOrcyd+xk//TSZxYu/w5j8YHOzgb6+H9pcVfILFY/W3jHAc8BRRaWKnj0vYMCAUaSn1y7x2hUrZjNx4j2RE98CrKvsXb4f2hb9SqG6o7XXH+uS3D5clpSUzLHHXsYJJ4wkNTWjxGt/+eU73nvvPjZsWB4s3gPcj7X4lm5VRah2aO2dCTwFtAyXpaSk06/fVfTpc0mx8SOS+fO/YNKkh9iyZU2weAfgA4/6fmhPJYktCAlHjVVwALT2mgCvAKdEnktOTiMzM5vU1Ax2797Bjh2bI5WaMG8A18gkNnHQ2msFvAb0iTyXkpJOZmY2KSnp7N69ne3bN0cqNWHWAG18P1Q6s6BQrdHaSwVuBDSB/bSys5twxhm30aFDv2L1d+3axiefPMV3340nkEIeYAZwle+HiqXYE+ITrb0M4E/AHUBquLxBg5aceeafaN36mGL1t2/fxEcfPcaMGRMjm/oauNr3Q3MqWWShCtDaywL+CtxAwFOmSZPDOfPMP3PIIV2K1d+69Tc++OAh5s7dJxfNL8BJvh/6pZJFFoSEo0YrOABae0nAdcC1QOcyXBoC/gm86vuhmv0hJiBuQvsHYCTQ7iCaaO37oSUVKpQQc7T2WgNPA6cFy484YgADB95KnTo5zJv3OZMmPcTWrcWCz3cAd2FXYWWfrARDa68T8C/guGB5t25nccopN5CZWZcff/yADz98ODL4fDPWHe05l81RSCC09jys9bdbUamiZ8/zGTDgOtLSMgmF3uSTTx5n1668yMvnAT1kkUwQDo4ar+AE0drrAgxzf21LqPYkdpJSemdrIW7R2lPA0dg+cTHQrJSXer4fml5pggkxw/WJC7HxOYWujOnptWnRonO0rEcfAqNkFTaxcYtlVwEPAdnh8lq16pGT04alS7+PvGQ8cIPvh1ZVnZRCVaO1l4K1/v6VCOtvnTo5+4vnmwWc7Puh3ypfSkFIPETBiYKbwGQBN2N9X5U79SbwO7HY1Excv7geO4lpA9QCdrm/uhHVfwK6Sl9JXLT2GgJ/A64oocpvWBeV16Uf1By09ppjY6x+V0KVTcBlvh/ax09NSFxKsv4GKGDfxE/P+n7o2koVTBASFFFwouAmso9gJydh5gK9JN2vEMb1ExV2LdHa64VNXBGOOh/k+6HybbQkVHu09k7EBpsfHih+AbjV90MbYiOVEGu09s7DxnimB4rnAT1lHKmZuDFjGFYBDlt/9wAPAvf6fmin1t61WEUI7OLZob4fKv9mS4JQwxAFJwpae9cDjweKvgEGi6lYOBBae09g05ADPOb7oRtjKY9QNbhg8x3hY98Pqf1UFxIcN5F9HTg/UPwWcIFkwhK09hpgrb8dsEmKfgqcU9iU0F1d0e98PzSh6qUUhPimpu6DUyJae10J7GqPdUs7SZQboZT8FHidFTMphCpF0voKEYykuHJzBzBUlBsBwPdDG3w/NBI4PqjcuHOG4uNIyXnoBUEokZITstdcWlH0uewGLpbJi1AGTgi8FvckQaiZtA+8/tr3Qw/GTBKh2hItNs8lJQhm49tYdRIJQuIgCs7+SQM6YveuEAQAtPZqA82BOkAe8DN2s5PhFF+1faPKhRMEobpxmNZeXdkrTQjikpTkYMeRlb4f+tUpN49TtEnoemxcpyAIZUQUnH35AhsI2tEdf6K1N9j3Q1/FUCahGuB8o58GLgdK3qbc8qmkiRaEGssr2Fi8WsAhwBdae2f5fmh5bMUSYo3bYPwl4PSI8mjVn5B9cATh4JAYnAh8P7QFGAyEs9w0AD7W2hsWO6mEakI34BoOrNwAXFTJsgiCUE3x/dCPwIhA0VHAt1p7R8ZIJKH6MIwI5aYEJgP3VrIsgpCwiIITBd8PzQdOBsKpGdOAV7T2+sZOKqEasK4MdTtUmhSCIFR7fD/0BlbJ2euKmgPva+01jp1UQjWgtCmfWwNNKlMQQUhkRMEpAd8P/Q/oCcxxRSnAeK29RrGTSoglzr3kfOBjYAnWP3o58D12874gY7T2kqtUQEEQqhW+H3oRu7HjFld0CDA2dhIJ1YC3sJuIh7DjxyZgPjbWtyBQ73DgniqXThASBNkH5wBo7R0KLA0UeRJbIURDa68z8DVQ1xUN9f3QmzEUSahCtPYKH6ayD44QRGvvHOBtd7jD90O1YimPUH1x7vBhJXgP0Nr3QytjKJIgxCViwTkw9WItgBAfuP0MxgSKTiipriAINYqmsRZAiA98P/Q61roDkAr0jqE4ghC3iIKzH7T2PODDQNF8YEGMxBHig0WB17JBmyDUcLT2LsOm/g3zbqxkEeKG4Dgi1j5BOAgkTXQJOJeCsUCmK9oGnOv7oa0lXyUInBx4XZakBIIgJBAurbwG7gwUzwZGxkYiIR7Q2kujuPV/faxkEYR4RhScKGjtHQuMx5qHwe4kfK7vh+bGTiqhuuCyILWmaKPPH4DdwE3AuYGqr1a9dIIgVBNuorhy8yMwyPdDeTGSR6hGaO21wbou1gFWYhMaZWDdnJu5aquQjT4F4aAQBScCrb2mwASKlJtF2EFpfuykEqoDbkX2DWAoB3bvfM/F5AiCUMPQ2usPPBQo+hA43+2zJtRgtPYOwc4xepai+qO+H9pVySIJQkIiCs6+HENRQKgBTvL90NL91BdqDh5wXinrXlqZggiCUK05AwiniV8AnCMTVcFxAaVTbt4F/l7JsgiVjNZebrNmHVvVr39Iq/POe+Dzim5//Pg7+m/cuGLJqlXzlvh+KLes13ta53Zs1qzVIfXrt3rgvPMqXL47xo/vv2LjxiXzVq1aEvL9MstXHkTB2T8FgMTcCGGWY/tEaZJzHAtMqlxxBEGIA/Kw6X4FAeweaqWhO9YVetGBKgrVGn/VqnmsWjUPoF9FNz5nzsfBdnMPogl/3qpVzFu1KthOhfHxnDnBdnMruv39IVnU9mUONqEA2BW492RzTwHA90OrgdOBcdi4m4XATOA/2LSe+YHqT2vtpe7TiCAINYFpgdfdgae09mRBUQBrmRkOTAZmAb8AU7DjSDBLa0vg3qoWThASBXngRuD7oUVae8OxDxuAPsC3Wntn+H5IUkTXcHw/9BHwUbRzWnutgf8BjYBDse5sr1WddIIgVAd8PzRBa+9R4EZXdA1wmNbeBRKHU7Px/dAe4P+5v33Q2jsDeN8dnqe1d4fvh5ZUkXiCkDCIBScKvh+agB2YwjuTtwU+dwkIBCEqvh/6heIbfcoGbYJQc7mNoh3pwVp/3xJLjrA/fD80CZjqDpOwsZ+CIJQRUXBKwPdDj2GzZe1wRc2A8S5HvSCUxIrA68wSawmCkNC4lfqLgXsCxQOA+2MjkRBHyDgiCOVEFJz94Puht4BzAkV9ga4xEkeID84IvF4dMykEQYg5vh8yvh+6k+JKzuhYySNUf7T2MrGKcJg1sZJFEOIZMZUfmO9iLYBQ/XGWvbuAga7IAC/HTiJBEKoRHwJ/ibUQQvVGa68B8ArQ0BUtAz6LnUSCEL+IgrMftPbqAm8GivKQVfkaj9ZeEnACsAtogU1E8TtsYoEw430/9HNVyuVpXR/oDOwGtgA/h3w/f/9XCYJQmWjtHUHxZCNV+lwQqidae1nYsWMbcAR2a4HzgTqBan9zro5Vhqf1IUAb7HxnXcj3ZR9AIS5JOAVHKWUOXKt0tGxZm+HD25OcbD35xo1bVHvOnE0rcnNVRd3ioMls1oyGXbuyYvLkSmnfGBP7N1lBVGSfSEtLomPHevTt25TGjaO7Rv/882bGjVt8fm6uOr+i7luiPPXq0aRPH+q0aUNmTk6xc7s2baJ+p05smju3wu4n/aJkcnN7VFrbFUGP3NzC19MDrysC6Rcl07t3Y04/vSUAO3fu5V//mndkbm716B8NjjwSlZLC+u+/r5T2pV9Ep06dVDp3rk+/fs3IzIw+Dfvii1V89tmvj+fmqscr6r4lUfuQQ2jcqxdZhx1GWnZ2sXNHXH01S95+m52//VZh96tJ/SI4LlQ2B9NHe1TwWLA/DiRfRfeLhFNwKpLly/N4992lnHtuaz7+eAVz5myKtUgAZDRuTIfhw0lOTyd/1y5WffFFrEWqEaSmKm6++UgyMpKjns/L28PUqWuYOnUt+fmVP39pftJJND3uOFRS9FC6PVu3gkqYcUQQ4pJvv11LTk4GXbs2YNy4xWzYsCvWIgFWuWk9ZAimoIDdmzezdZHsJ1kVtGxZmxEjOqBKeDavXbuDzz//tUrmG0np6bQeMoR6HTpEPV+Qn8+erVtJSpGpohB/SK89ADNnbmD16h2sWbPjwJWrgOSMDNoOG0ZyejoAjXv35rfvvmPv9u0xlizx2bPH8PLLC+jevRENG6aTlpbMnj35rFiRx/Llefzyy1b27CmoElkOO+ccGnXvXqzMFBSwY+1aMIZfP/+czfPnV4ksgiDsn/ffX8bUqWtZt25nrEUBrAfAYWedBYBKSqJ5v37MFwWnSlixIo+xYxfRtWsDsrJSSU9PYsuWPaxYsY3ly/NYtmwbpgrse8mZmRx+6aXUbt68WHn+7t2F1ppfJkxg14YNlS+MIFQCCafgJJLpMxqe1jcCj7jDXSmZmT335OXNiqVM1Z1E6xOe1gOBSYGir4F7VFLSl3Oefnq7q6NCvl8t3GCqK5XZL3y/slo+eDytC/tDov0mKpKa8Nl4Wk8AhrjDBVmHHtrLGFM9XBSqKYnWLzyt7wfuCBS9AvwzOS1txtx//WsvgNeihYwjB+BA/UJrr8o+v4Ppo8FxobKp6t9Qwik4NYCgP9LCkO+LclPzuCXwehxwccj39wYryKAkCMJ+CI4jn4Z8X5SbGoSndRYwKlB0Y8j3H4usJ+OIEM/IPjjxRzDSr7On9XUxk0SocjytFXY/pjB3RCo3giAIByA4jlzqad0nZpIIsaAzUNe9Xgk8EUNZBKFSEAUn/ngVeCtw/KSn9YOe1vJd1gySgLTA8bJYCSIIQtxyOxAOuqkNfOZpXelZH4VqQzAF6DLZTkBIRGRSHGc4k/HlwPRA8W3Ac251X0hg3EAUjPo8LVayCIIQn4R8fyMwGFjnitKBNzytR8ROKqEKCVrwjva0bhwzSQShkpAYnDgk5PtbPa37YzePO8sVjwB+QEzNNYGXgRvd6+c8rc8EZgCHAV0p2ujzh5DvV4+0TYIgVCtCvj/b07o38D4QzhP8tKf1TyHfnxZD0YTKZw7wPXA0Vrmd4Gk9FFgPdCKw0ScwU2JxhHhELDhxSsj3twHnYjOfhHnEBQ8Kic0jQHgzjebYgaoA+AV4F/gv8A3wq6f1pTGRUBCEak/I9xcBfYDZrigN2CfYXEgsnMJyf6CoL7AG2AvMAt4GPsIumv7saX10lQspCOVELDhxTMj38z2tbwDCk9gUIPoulELCEPL9Zc5q89EBqtYH/kBxJVgQBKGQkO9v9LR+hiLrf+b+6guJQcj3/+NSRf/xAFXbAldgF9KEcqC1F2sR9oundaxFqFDEghPHeFqnAE8HivZgV2CEBMbTOhkobfa8BZUpiyAI8Y2ndQ4wOlAku0bXADytm1K0F9KBkHFEiDvEghOneFpnY/dACQaZ/z7k+3kxEkmoOs7GuieGWYLd7DMF6IJ1X9uCtfCMqWrhBEGIDzytO2BjcNq6op0UV3aExOV2imKvAGZirTSNsTE427AxOeOBsVUunSCUE1Fw4hBP67rAl8CRgeJngH/FRiKhiglu9PkCcKUEgQqCUBY8rY8CPsO6sgIY4KqQ74srUoLjaV0PuCpQNCLk+y/GSp5ExvdD1Tq7bcj3q7V85UFc1OIMt9/NqxRXbu4GrpNJbuLjUoEfEyjy5XsXBKEseFo3xAaSh5WbHcCQkO+/GjuphCqkI3b/I4ClwEuxE0UQKgex4MQflwJnBo6vCvn+87ESRqhykoDUwPHqWAkiCELc8iDQyr3eCpwU8v3vYieOUMWkB16vlkUyIRERC0780TDw+idRbmoWbqPPtYGis2MliyAIcUtwHPm3KDc1juDC2NGe1i1iJokgVBJiwYk/8gOvD/e0Plp8pmscYyhK7fmcp/VG4Cus22Jwo8+vQ76/KTYiCoJQjQmOI6d4WjcI+f6GmEkjVCkh35/vaf01cBzWI+A9T+sh2MUzj+IbfX4V8v09MRNWEA4SseDEHy9RlLIxDfjc0/q0kqsLCcjj2Aw3AA2AT7Epwqdj+8drwHvAKk/rUbEQUBCEas3d2LgbsBnUpnpat91PfSHxuC/wuhuwGDuufI5NXvMG8AmwwtO6T5VLJwjlRBScOCPk+5uBwdgVeoA6wPue1pfFTiqhKgn5/irg9FJUzQBEwREEoRgh358JjAwUtQe+lR3raw4h358E3FWKqo2BSypZHEGocETBiUNCvj8XOB5Y7oqSgec9rY+NnVRCVeE2eC3tlsOzKlMWQRDik5DvjwUuwO6bBdAIeNtt/CkkOJ7WhwJXlrK6jCNC3CEKTpwS8v1ZQC/gR1eUCkzwtE4v+SohQTgPOClw/AXwV+ApYArWreAt4Dpk0z5BEEog5PvjgBOBza6oJbKfWk3hj8Ch7vUeYAJwJ/AK8A0wGbvB5xCsy5ogxBWSZCCOCfn+Kk/rs7A72QM0xbol7SrxIiERuDnw+jHgJknzKQjCwRDy/ame1ncDf3dFbWIpj1D5uH2QhgeKLgz5/oQYiSMIlYJYcOKfs2ItgFB1uI0+uwWK7hflRhCEg8VtHn18rOUQqpT22MVQgIXAmzGUJW5QSvVRSv1XKbVZKbVNKTVdKXV5NZBriVJK4qQiEAtOnOImun8AHgoUv0RR8gEhMUmi+O92Y6wEEQQhvvG0zgDGU3zz6EdjJI5QdQQ3i94YbZHM07ozkB/y/XlVJ1b1RSl1KvAucD9wMTYL4ZnAs0qpNsYYvxLumWqMqZIU3VV5r6pCLDgxQin1k1LqgoO51q24PQ38DVCueDpwnazmlw6l1KFuBaZ5rGUpC26jz19/fvVVVk+ZAjYeR4gjDrTappT6k1JqYuD4c6XUXwLH25RSpU7b6mmdFJku3NO6XlnlFiqXGPSLHGAexZWb50O+/2IZRa+xVJdxJLIvRDl/sVJqZvh4xoMP3rDknXfChz2SUlIWhOcjntYZzmXxB2Cmp/VdEtsLwJPAWGOMNsasN8ZsN8aMA24C/qyUaqWUekkp9W+l1CtKqS1KqUVKqeHBRpRSxyulpiilNrjzf1BKKXeuv1Jqr1LqUqXUYmCDK79BKTVPKbVVKbVMKXW/UirZnZuIjaV63vXFya68llLqMaXUcqXUOqXU20qpQwNyfK6UetSVb8EumCcUMVdw3Ie8y30xm5VSM5RS50WcN0qpEyKuWxil4yil1ALXsbIizvVXSu2t1DcTBdfpjVLqkGC5MaazMeaNg2z2T8A1geMpwGkh399RQv1qRZTv/Ael1NBytJerlPq4LNcYY5YZY7KMMb+W8h5Rv8eqwN23b6Do2cMvuYSmffsCPOtpPcTTOtvT+mRP65s8rUd7Wl/qaV3lslY2gb6z1fWdxW4w6RFRp9zPDHd+lFJqtju/USkVCi5MHGhSejAYY+4zxpToeur67VR3//0+1zytu2CfD09FnJrraX2eswQnBFU1lrjz8d4vegGLgMMiTp3saV2aFPQxJx7HEXef81x/2eT+flRK/T5wfr/KysFgjPm3Meao8HH+jh1b83fsCMucdPSdd9IjN3eup/WQXRs2LJ2em/uX3Zs3p2L32tPADE/rGuvGqJRqD7QDXo1y+jXsQvMp7vh84EPsHnXXAk8rpY517XQGJmEXp3OAQcD1wKWB9pKBgUB3oIkrW+HKsoFzgBG4DHjumbAMuNL1xVPdNY8Avd3fYdhNWyeGFSPHCOCfQF33P6GIuYLjuNsYkwU0xG1UqJRqFzi/Hvi7UupAg/GJ2ADJAuDCyhA01nhaD8RmzAqzEPgfcI2nde84mrAEv/OxwBvuIVKIm2SIG+W+PIX9TQDUxma/2Qx8BDwMPAG8DCzztH7f0/roOOoXpeFuY0wdY0xd7G9+KfCtUurcQJ1yPzOUUhcCPna/kLpAc+xqXbV3C3SrsPdgV2Gjreo3BcYB77p0sYlCpY8lcd4v6nhaPwZMxe6hFkkr4ANP69c8rZtEOV/diKtxxE10XwD+gpW5MTbYf2VVy7JjzZoZ2P4NcDgwE5iAUo2jVO8IfOlp/WwNtf6GU6fv8z0ZY3ZjlYfw5/atMeZVY8xeY8xH2PF5uDs3ChhvjHnHGJNvjJmHHa8j9zG8wxiz2Riz3d1jgjHmF2P5AZvp7iRKQCmV5Nr8izFmpTEmD7gROALoGaj6H2PMp67d7aX9MOKF6qLgAGCM2Qs8h40xCAZSPwccwoGVlmuA/2K//GsOULcYSql+SqlpbiVonlLqmojzRyobXPabsqbFjwLnXlTWDLhVKTVHKXVR4NKwWXi+W2m6011TbIVvf/dPrV37VKVUfsuBA6f++Nhjk364/361eNw48nftAruqcDNwL3bQWuxp/YCn9VHxMKl13/lT2FWLrm6F9QalVAjYDnhKqRSl1F1utX6DUuoTpVQXALdq+iegv/t8tyml2rhz+zMFF7PIuNW7T5RS9yml1rq/0u41E+4fn7rV3MVKqb8EV0rc/cYrpVa5VbuvlVIN3bn73DXbnJw3Bq4L95/J7vzzId9fN+OBB5au+uKLwvtvX72aBS+9xIwHHuDHRx9l1RdfYAoKFHDGro0bp0/PzS1oevzxbyWlpCx0/XSyUqpZ2b+x6oUxZqkx5i9Yhe7xwMS1Ip4ZxwJfGmOmuQFghzHmK2NM2AWgJNeAYUqpmcqu7q9SSj2rlKod0XYb1ze3udXcY8In1AFWkl2/7ausW8wHQHKg71+eVrfuZ0vffXcV8GdcvNaGGTNY9txz3Dd0KI2yihkkzgTmeFrf6GmdvM/N4pRKHkvisl+kN2jw1dKJE38F/g/n2rxp5kxWPP88d519NnUzM4PNXYi18o2UcaRCx5E+wFxjzH/dBHe3MWa6MeZNd/0T2IQPdzoZ5rvyk5SdH2xUdg7yutpXEWmklHrPXfeTUmpg+IRSarhSamGw8q6NG1e598yPjzzC+pl2qJnzzDMALHj6aWY/+CDrpkxhxUcfsXDsWICrsf3ifJWUNEDZ+UpkH05EfnP/W0SeUEqlYfeQCtdZElFlCfaZA9AauFAVWe82YRdLgmNxAUV7HIbvcaFS6jul1Hql1Gbs9g/7268qB5tEYnG4wBizDViLTQUflC1hqVYKjusoYV/xBYFTedgdd+9TSkX1BVVK5QCDsasjY4AeKuC2coD7tsYOZs9gV1WGA/cr597gJoJfuL9W2NXPBwNNTMEOovWw1pWXlFKd3LmwWbiDMx/eXZb7e1qf3nro0NeBpB1r1vTudO21dPn979m+ejVrp02L9nZaAbcDM4BJ1X0Vzn3no7F5+MOT+ZHYDeiysCvQt2JXI87APgi+Aj5SSmU7N7/7gM/d55tljFmsSmcKjuQErKm3OTY73Z+UUseV4j3UxVpPPsP2jUFY0+/N7nwt4FPsw6Uj9mF4C7DbNTEH6ItdUb0K+92fBhBwKzjVvbcrPa3TMxo1OiJ8//ydO/n5lVeo07o1R95yC+0uvph1P/zAmqlTi8m5c82awUfefHPbI2+9dTJJSdkUtwTGO69jB58O7rginhlfAmcrpe5xE4xiK5f7cQ3YDFyEfR4c7/4iXU6uBW7AujH8B5iklMouyxt2bjEDgXxjTFaP3NzDeuTm9m81eHD/jXPn1ivYaz2UjmrZknorVnDz9ddzapcu/Gf0aM7zPAKz1tpYd4ZvPa27l0WG6koljyXx1i/a98jNPeuws87qu3HOnKxwv+jTti31VqzgxtGjObt7d/4zejQDjzwy2FR94HngM0/rDvvcqBoRR+PI18DRysZGDIxUUowx1zu57nYyhD/3Xe6+OUBX1/ZjEfcd6crquffyllKqVUlCptev34woY8BV//gHAAt//pmd27czbcIEBp13Hlt+/pk9W7eCHePeyG7T5pXkzMyJzjqQ6PyMVRYuinJuGGCwcwCwc7AgrbAuZmC9DV4wxtQL/GUbYzoH6htjTGEstVKqJdY17h6gmfNceBKCj/BCS1yY37B9pnWgnSyslWn5fq5LKKqLgvNnp8nuwH6JVxpjInfOfRHYin34R+MK7AAy0RgzA/tAu7qU978Q+N4Y86IzK34LPEvRLr+XAguNMfcbY/LcqkvhSpoxZoyxQWf5xpjXsbv+9i/lvUu8f0ZOzoPAByopqT5Ai5NPJjk9nSPatKHvSSfRbO9ebhs4kOtPOomzunWjTkZGZLunY4MEDzhJjwHh73wF1qd0qDEmvML0d2PMIvd57sJ+tw8aY+a5478C+djBpiRKawoOssAY84z7DqZhlUSvFO9lEFZZuccYs8sYMxerAIf7z5lAJnCDMzvvNcZMNcZsBXDm7F/davCnwPuUYH72tE4FPlDJyYXLrZsXLEAlJzNg2DCuPPFE/nTxxVx2zTXsnTePgV27kpmWBkCz/v1JqV2b1Nq1h7Q4+eR2SampfaPdI04JDyANA2XlemYYY8YDvwM6Yf2s1yulPguv+paEMeYDY8xPxpgC16efYt/vc4xbud2N7SvhjDwHhaf1xdiA8eF1WrcmJTOTnQsX8sdBg7i5d29mz5zJ8OHDAcjKyOD2QYN4fsQI2uQUWwT0gO88rR/ytI7XVdlKH0virF9cC8wFhob7xZ7Fi7lnyBBGHX00s2bMKOwX9WvX5u5zz+WJSy4E40FPAAAgAElEQVShRf36wWb6AbM8re/0tE47WFkqibgaR9zY3g+7yPUvYLWz1O03vsUYM8UY851rczU2e2pk33nbGPORq/NvIESUCbmndUqtFi06Z7VqNRAbYwNA3cxM/jFsGHcMKv5xNMnOZswNN9C9Z092zp0LwN4dO9i6dGnzwy+5ZEiiWX+j4RSO64FLlPXOaKCUylRK/Q6bdfBBY8wvrnpvZ3FJVkoNAIZiPQzA/uaHKaXOUkqlOqtiJ6VUv/3cPgs7V/8N2KOU6s2+CvZqrJthWN4Cd8+7lVLN3SLrP7BjxP/K8VHEFdVFwbnXGFMP+6OfBAyIrGCMyQduw66GBCcxOHPxVcCrpijN3RjgIhUlQDQKLQmY8hyLKDLltaL4KmDw3klKqb8qpeY7c+0mrNVmf+bDA96/ad++vTCmSPtOSmLUwIG8MWoUr48aRd9OnaiXmsr5PXsyvG9f/HPOYfItt/DIhRdyapdi42wT4BNP61Jn16ki7nWrF42NMccaYyYGzi2JqFvs83E/3iUUN7VGUhpTcCSrIo7ziO6nHklLYElw1YV9+89iY90o9kEp9X/KBppudHKeRZT+41xFXsHGBwDQtG5djs7JoVunTrxy9dVcN2AAF/fpwwUnn8yWdeu4e8gQXrnqKgCOP6owxpSUzMyGKVlZHVwq0EQg7AIQjk2qkGeGMeY9Y8wQY0wToDN2pe69sItKNJRSpyilvnKuJFuwE9XI73NJ4B4Gu+Jb5qQQ2e3aNcP6W7+KfX6ilKLPGWeQs3o1Qz2PF8aM4cwzz6Rp06bFrj2qZUv+fc01jDrxRNKSC+cnydiV7tme1qeVVZ5qQJWMJdW9X9Tv1KkV1kX2aWxgMkopTjjrLBquWsXpXbsypoR+0bttW94YNYrLjzuO5KK3k4ZVCH6oZgtmcTeOGGO+NsZcbIxpiQ3+XojtOyXGtiileiilPlRKrXZ9Zyz76TuB42J9x9P6GOC7zEaNPJwFQAG109P5/ckn069DyYa6O26+mfz58znP89gwaxYZjRpRu0WLTKz1d1qiWH9LwhjzAVapPAH72a7DugHfYoz5c6DqOKyVcCP22THaGDPFtTEbu2BxI7afrMXGCpY4X3QLpj7wDrAJuAP7/Qe5B6t8bVRKfeDKbsIqud9hnyPNgLPd869GUF0UHACMMRuxq95nKKXOiXL+A6z2eVfEqZOwsSgj3ANgNTbzRxbRTYqRLCdgynO0ociUt4SAdhzBhU7moUB9N7jOpMh8WBoTYLH7e1qPBE5Mq1sXgM4tWpCkFNeeeCJtG0eL/7OkJidzfPv23Dd0KE9ccgn1a9UKn0oHJnhax0tK5MjPrNjno+yErhVF30+0z7g0puCKYjlwWMTkJrL/tFbFs5cA4FwXHsT6+Tdy/Wcixc3PYcXpdqzLBQBtmzTh9WuvZcgJJ7B65UqC+tXixYtp2dKO2+mpdsuDu845hwfPO4/a6dYzR9l7vO1pXWy5Nk65ABsAOj9YWJHPDLd6+wh2UhL+zIr1Pecq8zbWZe5QY0w29nuLnPi2ClyjsDEbKygDntanNu3b98Vg202ys3l42DDGPfww//v2W+bPn88rr7zCVU7JjSQ1OZmRJ5zA2FGj6NGqVfBUK+C/ntb3l0Wm6kJVjiXVsF+cn9Oz53PBskMbNOCZyy7j33/7G9OmTj1gv8hITeX3J5/MK1dfTafmxYaNTsAUT+t4SClb7ccRY8xybPxsNnbMKEmO14Hvgfau70SLIWsV5biw7ySnp2cD3xKISWvfpAkvXnkl2ZmZheNEUlL0aeHgwYPZtm0bvbOyyFy6lCP6FTM69MBaf0dEf6eJgbOkner6QG1jTHdjzAsR1XYYYy51dVpHnnfeGycZYxoZYxoYY3oaY/7jzn1ujNknIYYx5q/GmBxjTF1jzGBjzI3GmP6B85OMMW2NMfWNMQNdWZ4x5vfGmBbuXmcbY5YErulvjLmnAj+eake1UnAAjDEbsJmg7nMPoEhuxboLBDXeq7F+0R2xP95uQBesK0JksoCMiL8UrDbcQyl1mTMZ9nTXjXGXvQp0UErdrmxu8VSlVNg8nA3sxZoPk5RSIyiKu8GVF1CygkTw/p2vu67xtuXL//nb9Ok07N6dkzt1YvRJJSbLKJHebdvywsiRwcDRZtgNquKRl4DblFLt3UQhHDz9vju/GjjUnQtzMKbg0pAe0X9SnRwZ2BXhNKVUB+zkJdx/3se6sD2ilKrrTNe9lVJ1sP0nH9tPjFJqENZ/PsjqjJyc3kBh/FZOnTqc0qkTWRkZDBo0iJ07d3Lfffexe/du5s+fz4MPPsjIkSP3Ef6kTp149vLLSUspfIa2Y984gLhBKdVS2SDe4VgXwGj7QB3UM0MpNULZlK5hy8gh2BiJOe45BRGuAdiV7gxgozFmh7KxeNdHkWmEUupo139uBWpR1J9LS4fUrKx0jGH3xo1c2KsX4667jhM6dCAnJ4dzzjmHCy+8kMzMTE47bf/GmMMaNuSZyy7jrrPPJru4q2vcrspW1lgSB/2ic2pWVgrGsHfzZkYefzxjR43Ca926zP2ifdOmvDhyJLecfjqZqcG9IYslbogXXiLG44hSarBS6grlEry4PnQj1hoQ3lBzNfa5HCQb6za5Vdm9TO6I0vxgZWPCkpXN9HcMVjGy905JScfN+ZKSkujcogUvX3UVXVoUj5vPyckhKSmJn3/+uVh5amoqw4cP56abbmLFkiV8+NRT0ay/Xcv2iQhC5VHtFBzHY9gJ+T5+rsaYmdgfbdjs3hgbEPp3Y8zq4B92Zby7UiocR5GM9WkO/j3hfCfPwA4467FuQHcZu4lTOGizPzbP+QpgDXYCC/D/gGlYM/NK7ArXVwF5dwB3AmOdiTtoygzXKbz/3OeeW7bk7bdrNT/xRLr364d/zjkkl7CiciBaNmjAvUOLbQtwiaf1/hSt6srfsErgZOxnPwAbdL/FnR+PXYVb7T7j1gdjCi4lCynefyYaYzYDpwInO/k+xPq/Pgx2JcXJ3BIbrLjevadUV/cV7GryOqxv/1sR9/zznm3bcmc88EDK0okT6dyiBS0bNCBsMKpbty6TJ0/m448/pkmTJpx22mlcdtll3HzzzVHfQMdmzTjzqKAOzqjqnowigjuVzQS3BTsZbQcca4yZEK1yOZ4ZG4HrgLlKqTzs73wTxWMiirkGGJupZhTwkFJqGzYY9LUoYv0Lu+/ARqz1aZDrR2Uio1Ejco45hkUvvsjdw4bx5rhxheeuueYafvjhB0aMGFHiqmwQpRRnd+9O7uDBZRWjOlMZY0n89IsXXuCPQ4YwbmyRR0tZ+0VyUhLDevXiloGR6y5xR3UYR9ZjN2f+wfWd2a6tU0xRmt5HsFnfNimlfnJlV2MtkluBN52skYzBJrbZjLVMDjHGRLrew/9n777jpKruPo5/fkuRKlgABUHBgtgwceyKGI1P1GjsUbHFlhiTmDzJk2JMLteWmFiTaKxRY4sRTUxiw4YVlVHQiGCjiah0kM6yv+ePc2e5jFtm+3L3+3695rUzt5x75s6Z2fu7pwFDNt+cbfv0oX27LzQqoHPnzlxyySWcdNJJ9OzZk8suu6xy3TnnnMOECRM44YQT2HTjjTlr2DC+feCBX0hDpDWwqm94SkvJxfEUkmr0y489trg/Tb187+67eeXDDwsvf5mPossbnKg0m6QD5zzCnBv8+bTT2H1gcYvKunF3Tr3lFiZ/Utlc/Nx8FN1S0z7SuuTi+Pskk7OdsPvu/PSww9ZZP3XqVLbddlumTp1a2VyxFC9/8AE/uOeewssn8lG0Xkz8KEEujmOSpnfnHnAA5w4fvs76+paLR958k+if/yy8vDsfRTWNJCatTC6ObyAZWfBnhx3G8bvvXsseX7R06VL69OnD6NGj2WeffQC4Z+xYrhk9urDJtfko+lEjZVmkQVprDU6blMw8PxBgg/btOXDIkFr2KM3X1g2ShlW3nbRaO5MEN5t260Zu3b4S9WJmKhcZVl5ezhVXXMHRRx9dp4tYyTaVC6kvd+faa69lyJAhlcGNSGvWKmb3lUpbF55s26cPHaqoPq6PIet2Et26uu2k1ar8zIb07VvZNK2hVC6yKZ/Pc8ABBzBo0CD+85//tHR2pJVQuZD6mj17NoMGDaJ379488EBVreNEWh8FOK1LZY1aYwU3VaSlWrv1T+VnVlWb6foqKheZnsegLcnlcixd2hbm3pO6ULmQ+urduzdLlixp6WyI1IkudluXyg4RU+bMoaKR+kd9MHt2lceQ9UblZ/bhup9lgxSVi1mNlrCIiIhIC1KA07q8SxhJi0XLlzNhxoxGSfT5d9eZGuTFRklUmlOeMMw0M+bNY+qcOY2S6HMqFyIiIpJBCnBakXwUOWGSRwBuHjOmwbU40+bO5bG33kov+nd120rrlI+iFYShTQG4acyYBqf535kzeWntPAdO3efaEBEREWmVFOC0Pr8hmck4P20af3n++XontHTlSn7697+zZm2Q9Ew+il5qeBalBVTOOPzUO+8wKp+vd0ILli7lwlGj0oseyEfR5Oq2FxEREVmfKMBpZfJR9D5wbeH1jWPGcOOzz7KmoqJO6Xy6aBHn/fWvTFnbnGklYWZsWQ/lo+hVwoSgAPzu0Ue5e+xY6jqP1bS5c/n2nXfyyaLKuQMXAxc1WkZFREREWphGUWudfg58CTgQ4Nbnn+f1adM4fd992XPrrWscYW3ukiWMfvttbnnuOT5fsSK96tv5KHqjSXMtTe3bwI7AlyvcuXb0aF6bMoURe+/NblttRfsaZiX/dNEiHnvrLW574QVWrF5dWOzAKUlQLSIiIpIJCnBaoXwUrc7F8dHAKOBggPEzZjB+xgw27NSJrwwZwn7bbUfPLl3o0K4dy1etYvq8eTz1zju8Pm1acb+dNcAP8lF0Zwu8FWlE+ShanovjrxH6Ue0JYdb5lz/4gI27duWgHXZgn222oXunTnRo145lq1bx4ezZPDlxIm9+9FFxciuBb+WjSH2yMmDBsmW89+mnjZLWxwsWNEo60vLmLVnSaOXi07W1vrKem714caOVizmff94o6Yg0NgU4rVQ+ihYlF7MXAiNJmhMuXrGCf44fzz/Hjy8lmenAyfkoernJMirNKh9Fc3JxPAy4HPhxYfn8pUt5YNw4Hhg3rpRkJgEn5qPorVq3lPXCkxMn8uTEiS2dDWllHnz9dR58/fWWzoa0Mre/+CK3v6iBMyXb1AenFctH0Zp8FF0CDAWuIAQstXFgDKE501AFN9mTj6JV+Sj6CZADrqO0uY3WAE8AZwA5BTciIiKSVVbXTsoiIiIiIiKtlWpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZ0b6lMyAiIiIi0tbFcc4Lz6Moby2Zl6rk4rgyf/koanX5S1MNjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhnqgyPSQuI4NwC4Ejge6BVF+bktnKV15OJ4R+BvwE5Ax3wUrW7hLImIiIjUSgGOSDOK41xX4BjgDOArqVVz4jjXOYryK1okY4lcHG8MnAScBXwpter1XBx/KR9Fa1omZyIiIiKlUYCTEse5bkAO2AHYEegFdABWA58AE4F3gHxLXIgmF5+5JG9DgI0In+FK4KMkfxOB8fkoKm/u/GVVHOd6sPa87wBsQjjvq4CZhDIxEXg9ivJV1nLEca4MuAk4EehWzaHOA66pa/5ycdwb2I215aIHofnpSmBakr+3gTfzUVRRTRo9gVuAI4GOVWyyM3Ag8FRd8yciIiLSnNp8gBPHufbAEYQLzyOAziXstjiOc/8A7gNGR1Hea9uhvnJx3JnQhOlE4KuU9pnNzsXxA8Dd+Sh6panylmVxnOtIqGk5CfgaVV/0F5sfx7lRwL3A8+lyEUX5iksu2XNgRcWa6oIbgBtKzV8ujrsTysSJwHBK60/3cS6O7wfuykfRhKJ1i8vMchXu1b3P6cDTpeZPREREpKWYe5Ndm7dqcZwz4FDgd4Q73/X1KvCTKMq/2CgZS+TiuAw4BbgM2KIBST0C/DQfRe80SsYyLikXxwG/BQY1IKlngP+LovwbAAsWfLzHbbd9a+zSpfOrC0RGRFH+3toSzcVxB+BsICbUMNbX34Ff5KNoCsDkTz459pSbbx5Vw/Z75qPotQYcb71iZi3yw+juJc0r0BL5KzVvIiJSP5oHp/G0yQAnjnMbAXcQmuOsY9NNB9Kv3w706jWIHj02o127DpSXr2LhwlnMmTOFmTP/y4IFH1eV7B3A+VGUX9bQ/OXieEvCBegexeuGbL45gzfbjEG9e9Ore3falZWxYvVqPpo/nylz5jBhxgzmLVlSvFsF4YL91+pDUb04zm1OqH0ZXryuT5/t2Hzz7enVaxAbbtibdu3as3r1ShYsmMmcOVP46KO3WLz4s6qS/cMhh/zonQkT/n3D7NkfVBfcjAdyUZSvsvlYQS6OhxDKxU7p5QbstMUWbNenDwN79WLTbt0wM5avXs2MefOYOmcOb0yfzqLly4uTXA1c9P2DD+75wLhxv/h00aLqDj0qH0XH15S3rFGA80UKcEREmpYCnMbT5pqoxXFuG+AxYJvCso4du7D77iewyy6H0rv31jXu7+588skk3nzzEV5//SHWrKnscnEGsEsc5w6Povyn9c1fLo73Av5D6OcBwMZdu3LyXntxyE470bdnzxr3X1NRwfjp03l4wgQef+stkpJYBlwI7JqL42/mo+gLEVBbF8e5ocCjQN/Csk6dNmTPPU9k552/xiabDKhxf/cKPvroLSZM+DcTJvwH9xBH9u274w+eeeZ6ystXpTd/HNgM2DV5/bMSgptDgFFA98KyPhtuyIi99+arO+5Ir+7dq98ZKF+zhtemTuUfb7zBs5MmFRZ3GNq//xXXP/00Feve6HgI2IXwHSknlB0RERGR9UKbqsFJ7tDnSV3EfvnLR3Pggd+hW7dNqt+xGgsXzuKpp/7IxIlPphdPAvaKovziuqaXi+NdgLFAF4B2ZWWcvu++nL7vvnTdYIM65++9Tz/lqiee4PVp09KLnwa+pkEI1kqC3nFATwCzMvbc8ySGDTuLzp03rHN6c+dO45FHfsuiRZ+yYMHM9KoVwE9Y29fmEODwKMr/oKb0cnG8P6HJW3uADdq355wDDuDEPfekU4cOdc7fWx99xOWPPMLSFSv4ZN1amwXAOfkoejBpInkSMDAfRZfW+SDruXQNSVP/RpqtvQlWnxqcpsxfffImIiL1oxqcxtNmanDiOLcB8CBJcNO+/QYcffTF7LDDQfVOs2fPvhx33G/Yaqscjz76u8Jd+yHAX+M4d0xtd+XTcnG8CfBPkuCmZ5cuXHXiiQzt37/e+dtus8244dRTufHZZ7n9xcouQgcBVwA/rnfCGRLHue6E894TYIMNunL88Vew9dZ71TvNQnPGpUvnF696FLghNfjAE8mjWrk47k+ouWkPodbmmpNOYrvNNqtX3tydaXPn8vH8+Sxf/YUB327MR9GDAMloa/fU6yAZlb7Yb6imCEpae/5ERESaSykjL2XFRcDeEO7Qn3jiVQ0KbtJyuWM56qgovegbwHfqmMz1wECALh07ctPppzcouCloV1bG+QcdxDnDhqUX/28ujr/a4MSz4fckg0y0a9eRU0+9vt7BTXn5Sh5//CruuecHVQU3EEZlO66Oyd4O9AbYqEsXbv3Wt+od3CxevpxfjBrFxf/6V2VwU3RR/PNcHH+5XomLiIiItBJtIsCJ49wmwA8Lrw866HsNukNflV12OYy99jo5vejCpNaoVrk43gn4ZuH1xUcfzda9ezdq/s4ZPpxhgwenF8W5OG7V1YtNLY5zWxEmtATg61//Bf367VT9DjWYPfsDbrnldF599b7KZV27bsLJJ1/HLrscmt50ZDInTq1ycXwAocaNdmb85vjj2byWPljVyU+bxkk33shT76wdTG/LTTbh9jPP5EsDKvsXGRBVtb+IiIjI+qKtNFG7gGRyxV69BrHPPqc0yUG+8pXv8vbbT7BkyTyAfoSBB24qYddfFp4MGzyY4dtv3+h5KzPjZ4cdxtgPPmD1mjUQarO+Qtue2+RnJN+BLbf8MkOHfr3OCbg7r712P08++QfWrFk7kMB22+3PkUf+mq5dN6Jfvx2ZPPl5Vq1aCmGi0KMJzSVrc1HhyeFDh5Lbaqs652/1mjXc9Oyz3PnSS6QbHR2z22786JBD6NyxIz87/HBO+vOfC+uPzMXx0HwUvVnng7Uh9WnC1ZhNyGrT2vPXmqXbwLeUxmh7n24r3xD5qEH3PNpcoWol5adO2+fiuFGO29r7ZEjb0iZqcAgTeAKw//5nYtY0b7tDh07svfepVR63Ork4bgccVnh91v77N0HOgj4bbsiRu+6aXlRr/rIqme+mqFzU7bd5yZJ53HvvBTz++JWVwU379htw2GE/58QTr6Zr140A6NKlJ7vvvs4oy6WUi27AgRCuEM5ct4lhSabPm8eZt93GHangpkfnzlz5zW9y4de/TueOYU7PbXr35sAhQ9K71j3SExEREWklMh/gxHGuBzAUQt+b7bbbr0mPN3jwOhei+8Vxrl0tu+wCbAiwabdu7NC3by2bN0xRM7Wmi6Zav60ItWx07NiFgQNzddr5vfde5M9/PpEPPni5clmfPttx7rl3sfvux30hWCoqF6Wc972BdgDb9OnDFhttVHLe3J1/vvEGI266iUmffFK5fI9Bg/jbeedVWUOociEiIiJZ0RaaqO1MUk3ep882bLBBtyY92MYb96dr140Lncx7AFsCU2rYpbJKZeiAAU3eTKRo4IJdc3Fs+Shq8Sr1FlB53rfYYifKykr/KkyZ8hr33ffDdZbttdcIDjrofNq371jlPn37DqFduw6FeZMGxXFuw1qGEl9bLuo42MRDr7/Obx55pPJ1+7IyvnfQQZy8996UVVO+dl33GF+q0wFFMqSuzXtaqwY2LZN6Wh/Lj8qKZFHmanDMzNOPu+56/4XCui5dSr8L3oDj06XL2o7gN9ww8cPiPKUfMx599C+FbTfq0qXJ89etUyc6tKusVCp749JLK6rKV5NnpBlV9f4eemjqQ4X1dS0XAwfmGDhwDwC6dduEU075E//zPz+qNrgBaNeuA506rZ2M88or31xUU7mYNWbM7wrb1rVcHLbLLmy5SZjXaatNN+XOc87hlH32qTa4Adioa9fK52tWrepdXb7qlJFWrqbz3xrz1NL5a235ybJSy4E+k+aj8167tniOGuO7Wt25aey0W3v+GvuzyXwNzpo1a6eiWb16RbMcc/Xqlanj1/yZeejwD8CKL85L0ujK16yhPHXM9PHbkvTnUtdyYVbGUUeN5JlnrueQQ360TkBbHXdvtnLRuWNHLjv2WB4eP54LvvrVkiYDTR+jrZYJERERyYbMBzgLFqwd2eqzz96noqK8Ts2R6mrZsoUsXPgxEC5iFy9eVeP2KxcsqHye7i/RVCZ/+mllh/OVCxdCG53Qb8GCtcHGJ59Mxt3r1Dxwww17c9RRpY88M3/+jMIoaixfXs6KFTUHEQ0tF9tvvjnbb755ydtPmjVr7bHnVzmHj4iIiMh6IXNN1Nzd0o+FC1caMANg1aplzJz5dpMef+rUte1v27WzsatWVVhxntKP7U47rRtQDvDh7NnMXbKkSfM3bsra7kAb9Ox5V3X5atJMNLOq3t+55w7pACwBWLz4M+bPn9GkeZgyZVzl886d2/+7oqL6MuHuNui447YobP/fmTNZtqrmQLmhXps6tfJ51379rm6r5aKl32dNeWrp/LW2/GRZqeVAn0nz0XmvXVs8R43xXa3u3DR22q09f4392WS+BifxDGFOGsaOvZsBA3ateet6cnfGjr0rvejZ2vbJR9HSXBy/CuwLcM/YsVzw1a82Sf5Wlpdz/2uv1Sl/WRVF+fI4zj0HHA7w8st3c8QRv6xlr/qpqCjnlVfuTS8qpVx8nIvjd4HBK8vLeWDcOE7fd98myd+i5ct5ePz4OuVPRL4ojus2GmN1GqOjemPNbdIQbbHzekuVAX3eIuvKXA1ONa4pPJk8eQzTp4+vadt6e+edp/j444mFlyuB60vc9arCkwfGjWNmEzURuvvll9M1RJ8A9zXJgdYfled9woR/8dlnHzTJQfL5h9I1RAuBv9SweVpl/v760ktNVrt363PPsXRlZZO9ScBjTXIgERERkWbQJgKcKMq/RWrm+Ace+DmLF89u1GPMmTOFf/3rkvSim6MoP6u67Ys8DLwJobP3T+6/n+WN3CTplQ8/5KYxY9KLfpOPouYZdaH1GgM8D1BRsYb77/8Jy5fXNHJz3c2c+V9Gj74mvejqKMovKnH3O4HpEGpZfvb3v7O6kQcAeHLiRO579dX0oovzUaRRBmphZnV+KH8iIiLNw7yNdDKP49yWQB7YFKBXr0GMGPEHevTYrMFpz5kzlXvu+Uf3IkQAACAASURBVD6LFn1aWDQV2D2K8vNKTSMXx3sALwAdAXYfOJDfn3AC3Tp1anD+Xp82jR//7W8sWXuX/mXgwHwUNW3HjvVAHOd2BF4FugJsscXOnHTSNSWNjFabWbPe4Z57LmDZssoBA94C9omi/NJS08jF8SGEGpUygAO3355LjjmmpJHRavP8u+/yi1GjWFleXlj0CHBkPooqatitTUgPWVn4jWzMICD9u5tOt9R2yM2Vv/rkTURE6ieOc5W/7VGUb3W/ubk4rsxfPopaXf7S2kQNDkAU5acDJwBrINS43HLLabz33gvUN8hzr+Cttx7l1lvPSAc3y4Cj6hLcAOSj6DXgO4XX46ZO5bRbb+XtmTPrlTeA1WvWcNfLL/Pdu+5KBzezgOMU3ARRlJ8InFZ4PXPmf7n55lOZNq3+beArKtYwbtwD3H77OengZj6hXJQc3ADko2g08IvC62cnT+asv/yFDz77rN75W7F6NTc++yw//tvf0sHN+8ApCm5ERERkfddmanAK4jg3AriD1AALAwfuwYEHfpstttilpLugFRVrmDp1HM88cwOzZr2TXrUUODaK8k/UN3+5OL4QuCy97Ks77sjZw4axde/eJaWxes0axkyezJ+feYYZ6/bn+RQ4NB9FE+qbv6yK49z3gD8AlQVg8OBhHHDAuWy22eASy0U577//Es88cwOzZ3+YXjUfOCKK8i/XJ2+5ODZCf5wfFZaVmXHErrtyxn770X/jjUtKZ8Xq1Tw1cSJ/fvZZPlu8TlO8qcAh+Shqmk5I66Gqakia8FiVzxtSg9MUVIMjItJ8VIPTeNpcgAMQx7nhwP3AOhFDz5792GGHg+jbdwd69x5Ejx6b065dB8rLV7Jw4Sxmz/6QmTPfZtKkp/n88znFyU4lBDcNHsEgF8cnAbcC60xhv03v3nxlyBAGb745g3r1olf37rQrK2Pl6tXMmD+fKbNnM37GDJ6ZNInPV3yhe02eUHMzvaH5y6o4zh0B3AX0SC/fZJMt2WGHg9h88yH06jWQHj02o6ysHeXlK5k/fyZz5kxhxow3mTTpaZYtW1ic7ETgmCjKv9fQ/OXi+DuEIGyd9mk79O3L8O23Z7s+fRjUuzcbd+1Ku7Iylq9axfR585gyZw75adN4bvLkqoabHgOcmI+i+lcJZZACnMrjVD5XgCMi0rQU4DSeNhngAMRxrjcwEjgXaNeApFYSRmn7bR06j9cqF8dbA78FjmtgUguBS4E/5aNoZW0bt3VxnOtPOF+n1bZtLZYSPr+royi/rMEZS+TieEfg98ChDUxqNvBr4LZ8FJXXtnFbkw4gmlN9ApzmogBHRKRpKcBpPG02wCmI49wQ4P+AYyi6c1+LOcDfgd8n/XuaRC6O9wF+CBwB1GXEgenAPcDV+SiqU38ggTjOfRn4CXAkyQAEJZpFGH77yijKf1rbxvWVi+ODge8TAp26jDjwPqGW6rp8FDXukHEZogDnixTgiIg0LQU4jafNBzgFcZzbAPgfYBiwY/LoRbh4XE2YN2Zi8ngaeDaK8s125zsXx90JQc5eSd52ADYi9CVaBcxI5e9R4NV8FOnDbaA4znUhTAa6L2vP+yasPe8zCef8HeAJ4MUoyjdbR/1cHG8EfAPYI8nfEEKg3g5YAUxL8vc28B9ggspF7RTgfJECHBGRpqUAp/EowCliZgMIF6vbuXut89jUdXupm9b0eZjZIOBuYCfgaXc/ujHTbwxmtgdwG7AVcLO7/7hlcyQiIiKlUIDTeDI9TLSZ7W1mj5vZIjNbYmavm9npNe3j7jPcvVupF8d13b4ta62fh5mVmdn/mtlEM1tmZvPM7EEz26Fo058DHxFqSMYl72GJmS01M0/+FpZdWOrxG9lvgX+7e3cFNyIiItIWZTbAMbNDgGeBscAgwohpVwDXmllczT4Nnz1RqtTKP4/bgf8lDMPck1BD8xnwqpntktpuEPBfDy5PAqluwOBk/Y6FZe5+efFBmun9DCJMKFov+g6IiIjI+i6zAQ5wPXCfu8fuPs/dl7n73wkXsb80s63M7A4zu8fMbjez+cAfkuVuZlsAWHChmc00s/lmdo2ZPW1mI5P1xduPTNZfbmazk0eVF/BtTKv8PMxsP8KIaSPcfbS7r3L3T9z9u4Shta9OtnsTOBD4VVJDc1Ztb9jMzjazyWb2czObCbyeLL/CzKYm6XxgZt9P7bNNkv8RZjbJzBYntV59Utv8yMymmdnnyXm4JFm+BBgA3JGkPTxZfqyZvWFmC83sHTM7qbY8St2Z2Rgzu6il8yEiItLWZTLAMbPtgG0I/SWK3UuYzPGryevjgccJAwpU1aTnVOACQgf/PoTBBobVkoVhhE7/fZP9LjSzfev2LrKjlX8ehwEz3f25Kva7GxhuZp3dfSjwAnBJUkNzWy3HLNgG2BTYljBABIQO//sA3YHvAL83s4OK9juBMLBBf0Kt0kgAMxsCXAIc6u7dgZ0JgweQ1CbNAs5I8jjGzA4FbiSMuLYxcCbw56LyWFUeM6M1Bh7FgbiIiIg0nkwGOISLY4CPi1e4+ypgLmsn+XzR3e939zXuXtV8JacBN7n7eHdfTZiDpLb+He+5+43uXu7urwITgFy93kk2tObPo1dV+UrMIoxGtnEt6ddkBfALd19eeD/ufldSS+Tu/hQhoCsOcEa6+3x3X0QYdrqQ33LC93ZHM+vm7guS91SdC4Br3P0ld69w91eS9E6tKY/S+iW1me1bOh8iIiKtTVYDnDnJ337FK8ysI+FudWGbabWk1Y8wpwwAHoad+6iWfT4per2UcLe+rWrNn8ecqvKV6AusAebXkn5NZiWBWCUz+6GZ/TdpMraQUIvUq2i/dJ4r8+vu7wOnE2p+ZpnZC2Z2cA3HH0hoArgwdbxTk/dWbR6zKFVrcmrSVO9zMxttZpuntvlB0nzwczP72MwuL9p3i9S2Z5jZBzUc73Yz+yhJ6x0zOzm1+s3k77tJc8JfJftsaWYPm9ncZN9rzaxzKk03swvMLA8so23fOBEREalSVgOc94EpwMlVrDsRcODJ5HVtc5Z8DGxZeGFmRmg2JKVrzZ/H48AWZrZ/FetOBp5z9+UNSH+d92NmBwCXAecAm7h7T8K8RSUPt+juD7j7wYTA8B/Aw2ZW3SSw04GL3L1n6tHN3Y+sLo9twDcJzRb7ESZxvRgqm1L+Fvh60vxvR+BfDTjOi8CuhCaGFxP6RhVG5hua/B2cfB6XJLUxjwCfEsr4XoRmilcWpXtW8h66AeMbkD8REZFMymTzBnd3M/se8E8zmwrcACwnTNh4LXCFu08N18a1ugu4wsweJMyv8gPWvfsttWjNn4e7P29m9wL3mNmZwPOEJmm/BPYEqgp8GmJDQq3QHMDN7AjgEEJfpFolfXD6Ey6elwOLCAFidUHKtcBNZvYa8Aqhyd0uQIW7v9GA97E+i919LkDy2Z+dLC8nBJo7mtl0d19IOGf1UtRP629m9hNgOKHcVmUPQj+oPd19KbA06Tv0TzP7nq+dtOxKd/8web6mvvkTEZHWpTXOfZPW2ue+SctqDQ7u/hihX8MwQrOnuYSL1p+4+y/rkNRfCSOAPUYYOngLwkXPysbMb9a18s/jNOAPyWMh4QJ0C2Avd2/sO+SPEvrAvE4Ico4CHq7D/hsAMeEu/0LgPOCYpC/TF7j7o8D5hNHg5hL6FV1JuPvfVlXX/G8KMIJQuzbLzF60MLx5nVmYW+liM3vXwrxPCwm1NsVNEdP6A7OT4KbgQ6BT0X7T6pMnERGRtsLW3hSUUphZGWFErp+6e0l33aXp6POQ2pjZGOApwqh4U4H+7j4zWXcGoQnfNkX7dCT0c7oC2AToQghIt3f3d5NtLgTOLOxbOI67X2pmIwgDYBwCvOPuFUm/mf+4+0gzG0BoPpjOyz6EuaI2Kgz2kARYDwNdkzQc2N/dX2yCUyUiIpIJma3BaUxm9k0z62RmXQh3z7sSahCkBejzkKZgZoPN7GtJuVpNqvlf0qRtOnCmmbUzs50JNT3V2ZDQ5G0OUJY0fxyaWj+H0Kxw29Sy14APgKvMrIuZ9SUMCX67u7e1flIiIiL1pgCnNN8nNIf6BPgKcJi7L2jZLLVp+jykKXQEIkK5Wkjo33Wsu69I1p8OfJ0Q+FwN1DQX0p3Aq4SA5WNgB8I8SgAkA1f8CrgvGd3ul+5enqS/BaFW8rUkjZ801hsUERFpC9RETUREREREMkM1OCIiIs2oqnmVRFQuRBqPAhwREckcM7vDzFYnE6kWHt8t2maLZELWT81suZl9YGaX1jCvlGSAmV2WTOi72Mxmm9moZOCPwnqVC5H1nAIcERHJqjuTiVQLjxsKK8ysH6GfU09gb8Jw4SOAo4FHzKxdU2TIzDo0RbpSJ3cBu7r7hsBWhD5vfwOVC5GsUIAjIiJtUQwsAY5396nuXu7urxLmptofOMnM2pvZJ2b2jfSOZnanmf0l9focM3s7mfNofHr+JDMbaWbPmNmVZvYZ8K9UUgea2Ttm9rmZjTazzVP7XWBmk5N1M8zsN+mL66Qp03fNbFyyzStmtn1qfXcz+6uZzTez6WZ2mpmVm9nwxjuF6yd3n+zui5KXRhjRcHDyWuVCJAMU4IiISFYdm1zIvWdmvzez9AS3hwH3J6PXVXL39wmj1x2arLsL+FZhfZLGscDtyetzgZ8R7vJvRJjA+CEzS8+tNIwwOl//ZN+Cbybr+hGGu784tW4mcChhyPFvAGcCZxe9vzOS9DYFPgL+mFp3HTAI2B7YGTgcaJLah/WRmZ1sZosIwcwFwMhklcqFNAoz29/CJM/13X9A0rS2b2Pmq5ZjPmZmP22u4zUlBTgiIpJFfyRcxG1KaF50AHBLan0vwhDeVZkF9E6e3w4cZmaF1ycAs9y9MOz3D4CL3f1Nd69w90cJE7aemEpvhrtf5e6rCpO4JmJ3n+vui4F7gVxhhbs/mNQguLuPJ1xQH1SUz9+7+wx3XwncUdjfwgTII4Bfu/vsJP0LqztRbZG73+vuPYDNCcHNf5NVKhcZYGZjzGxlEiAsMrMJZnZ8I6U9zcxOqW07d3/B3XuWmOYZZvZB0f4zkqa1s+qb1yqOc7yZ5S1MT7DQzP5rZt9PHfNQd/9dans3s/0a6/jNSQGOiIhkjru/7u6fJReXE4EfAceZ2QbJJnMId8ir0jdZj7tPAt4AChc03yK5S58YCFyfumBYCBxYlPa0ao7zSer5UkJ/DwDM7KSkmdG8pKbhfMLFdyn79yLM6zQ9tT79XBLu/ikh8P2PmW2MykWWXOLu3YBNCIHevUU1aE3GWmGfKjPbB/gLcBHhnPQm1PZVF9Cv1xTgiIhIW1CR/LXk7+PACWbWPr2RmW0N7Ak8llp8O3BGcnG0F/DX1LrpwJnu3jP16Obu51Vx7JKYWX/gbuBSYPOkpuH6VN5rMwdYBWyZWjagmm0F2hOagvVF5SJzkiaFtxA+510BzKxL0v9patKM9fF08GNmJ5rZpKQf02dmdkey/N+Ec3ZrUjs0Olk+xsyuNbN/mtli4MdmNtzMylNpmpmdm9SaLDazj8zsfDPbG7gRGGRrR3wcblUMG25m55nZu0mt1Ctmtn9q3Ugze9rMLrcwOuBsM4tTp2JvYJK7P+7ua5Kaw9fd/aFUGmPM7KLk+ZvJ4tFJnm4t5dy1FgpwREQkc5ILlJ7J822Bq4B/ufuKZJMI6AH8LbmQaGdmuwP/BMYC96WS+xuwDfAH4El3T9/xvAYYaWa7Jhcwnc1sP0t17K6HboT/z3OA1Wa2F3BqqTu7ewWhadNIM+tlZt2ByxqQn8wwszIz+16haVly8Xg9oTZlMioXmWNmHYFCYPle8vdWQhPWvYDNCP2r/mNmHcysC6Hp3/nu3p3QZ+k2AHc/gjDq3tlJwHrI2iNxJqEs9Ej+FvsOoTnkeYRR+r4EjHP3scm6KakRH8dU8T5OAi4BTiPUwNwCPG5m6YB1WJK/vsARwIVmtm+y7iXgy2Z2nZkdamubV1bJ3YcmTw9J8lTo61XtuaspveamAEdERLLoO8AUM1sKjAZeIdUp3N0/AvYAlhH+QS8F7gf+DXwt3ck8GXHrH4TO3ZWjZCXrbgF+R7ibv4BwcfEroN7/7JPmTxHwMLAQ+DnrXliX4oIkL+8BbwNPAg6srG++MuQw4O2kbLxKKAMHJyOmqVxkxy+TpoHLCbVeZ7v7W2a2KXAS8N2kGesqwuh5mxNq6QBWA9ub2cbuvjTVt6omo9z9maR/1LIq1n8fuMzdX0yazs5199fq8H6+Bdzk7q8mZfU24C3g5NQ277n7jb529L8JJH2w3P0VQl/ETYGbgU8t9MfZnxKVeO5aBXP3ls6DiIiINCEzG0yooejXmJ2WZf2W1XJhZmOAp9z9UjPbiFADs9zdRyQ1cq8Bi4p26wic5e73WRg2+38JQ4NPAa5y93uTtKcBF7n73UXHe8bdL04tG57koX3yehnwDXd/sor8npGkmW4mtxUwFejv7jPNbBJwZRLYFLa5G1js7t81s5HAfu5+cFXnoYpj9gd+TwjQt3T3hcXbm5kD+7v7i8nrWs9d8XFaSvvaNxEREZH1iZkNJNxVfZVwx/Ya4PksXcRK3bXFcuHuC8zsbOBDC3MXjU1Wbevuc6rZZwwwxsIcQ0cCD5rZq+7+IdX3naqtT9U0YFtCrVld94Uw5PfAomWDCLWLdebuH5nZZYRhyQcRBs34wmZFrwuDUlR77loLNVETERHJns6EZiiLCEMgL2PdpizSNrXJcuHu84GrgcuBuYS+SDeYWT8AM+tpZkebWTcz62Nmx5pZD3dfQ2gOCLAm+fspIVCpq+sJfWL2TvqCbZrUiBTS7G1mG9aw/x3At81sDwuTzZ5BGDShpFoTMzvKzL5lycSxSXOzHxLOx+Rqdlvnvbr7bGo4d6Xko7kowBEREckYd3/H3XdKOgf3dvfjijrBSxvUxsvFdYTaq9OAc4B3CbU0nxOCveMJNRZlhOG3pyXrrgdOd/dpSTqXAqeY2QIze4zS3QD8htBcbhGhxqQQ4DxDqNmZamFY8QOKd06ayMWEkfTmAd8FDkvlqzbzkvc4Pul/9jZh6PCvVtNnCMIEtRcn7/WmZFlN567VUB8cERERERHJDNXgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMqN9S2egJcRxzkvZLory1hj71VUujks6Tj6K1jlOffcTEREREckK1eCIiIiIiEhmKMAREREREZHMaJNN1GpqQtZczdBqUlMTMjVDExERERGpnmpwREREREQkMxTgiIiIiIhIZijAEWlkcZw7LI5zp7Z0PkRERETaojbZB0ekCbQD9nz//ZdOMSs73b2iSxzndgQujKJ8RUtnTuqksp9bHOcqF0ZRvrmOX1v/ucr85eK4cmE+ipoqP2ltuW9fSf0fG6qaMlfKeW/y/NVQ3tpyuRCRVkg1OCL1NwA4BxgFzAVeyudHnede0SVZ/zPgH3Gc695SGRQRERFpaxTgiJSuC3AocC0wCZgO3AwcC/QEOOaYS9h22/3S+xwJvBTHuS2bN6siIiIibZOaqInUbGfgf5LH/sAGNW28wQbdOPHEq3jqqT8xduxd6TTGxXHu6CjKv9SkuRURkWZR6rQSTammKStKnVaiKbXFKStULmrXHOVCAY60eXGc+wPQHaBDh04bbLRRv77duvXq16VLz77t23foUsvu1erevReffz6n8LIX8Ewc586NovydDc+1iIiIiFRFAY60eWZlJ7tXbAKwevUKZs/+kNmzP2yKQ3UE7kgGH/hFFOXXNMVBRERERNoyBTjS5rlXNPcoZ/8HDInj3MlRlP+8mY8tIiKNrBlHWVxnpL1SNdMoi8C6o+21dVGU59lnb+L5529hp50O4cgjf02HDp1wr+Dpp6/npZfuZKedDuGYYy7DrGGttpq7XKypqOAn99/PC++9x7eHD+fsYcMwM5atWsWvHnqI5959lx8cfDCn7bsv0PzlQgGOCFwAdGqB4+4IvNICxxUREZEmNmXKqzz//C0AvP32aObPn8kxx1zCk09ex7vvPl+5fMCAL7H77se3SB7rG3h8/+CDeeG99wC4acwYpsyZw7eHD+cXo0bx/mefAfDHp55i6IABDO3fv9HyWyoFONLmRVH+vpbOg4iIiGTLllvuRi53HPn8KABmzXqHG244gYqKtS3Ut912P3bZ5dCWymK9HfXlL/Pqhx/y2tSpADw5cSLPTJrEmlSjmBF7781O/fq1SP4yF+CYWYNGhxg5crdq06ppXXPZbeTIavNQ07q6cvfMjHzSUp9VFrWFcuFedXGpT/V/qdLNW2orr9Xlrymr/wvNGGo4Z22qXDRlWahKKb9h6fw1d1OQtlou0tcELaWmspG+JmgpVeWvLZWLdu3ac/jhP6d376159NHfAxXrBDd7730qBx/8PcrK2jV5vgoaq1z06NyZP4wYwVWPP84D+fA/rBDctDPjl0ccwZFf+lLJ+WvscpG5AEdEREREpLXo0KEzZWVlVBR1+e3YsTNmLTslZUP64ZgZnTt2/MLydmVlVS5vTgpwREREREQaWUXFGp5++k+8/HLlvHiYleEeAp3nnruZuXOn8o1vRHTo0BJdgetv6cqVXPTQQ5X9cADKzKhwZ9WaNfxi1CimzJnDOQccQFkDB1Coj8wFOA2t4kpP0FScVk3rmkt6gqbiPNS0ri1bn85FLo47AEcAjVtfXZpJ+Sh6uwWO2yJqKBeV36OmHBmpumZOJZTXyvw15chIVTVzWp++S/VVSrlIa47Rs0o871XmrzlGz2qr5aI1TOhY07lvDRM6Zr1s1FYupk4dt05w07v3Nhx99MU8+eR1TJnyKgATJz5J//5D2XPPE+vd/LX4d6g5ysXfX3ttneBm/+224zvDh3Phgw8yfd48AG557jn2HDSIXQcMKDl/jSVzAY7I+iwfRatzcbwE+DvQo5kPfynQZgIcERGRprT11nux996nMnbsXQwePIyjj76EDTboyogR1/H441czbtzfGTz4APbY44SWzmqdnbrvvuSnTePVKVM4bZ99OP+gg2hXVsYdZ5/Nzx94gFenTOHcAw74QnDTXBTgiLQy+SganYvjvYB/A9s013E7tm+v3wMREZFGdPDB36N370HsssthlYMJlJW157DDfkr//rswePCwFu+HUx/ty8r4zXHH8dqUKRy8446Vy7t36sR1I0bw2Ftv8fWhQ1sufy12ZBGpVj6KJufieE/gAeAr6XVD+/dn0+7d6532itWrFy9atuyzuUuWfDrn88/nrEl6Pa4qL3+zQZkWEWmjmntkvbrS5JstI10uHn646T6D+pa/RisXo0ZVuTh++OHGSb8eFOCItFL5KJqfi+OvAdcB5xWWz1q4kB9/7Wvs0LdvqUnNB54CRgNPADMbO68iIiIircX6Vycm0obko2h1Poq+C5wPrAGY8/nnnHP77Tw5cWJ1u60BXgYiYC+gF/BN4DYU3IiIiEjGqQZHZD2Qj6IbcnH8HqHJWs+V5eX8YtQounTsyL7bbgswg1A78wTwNLCw5XIrIpJ9UZRv1SOE5aOoVecvq1QuWgfV4IisJ/JR9BSwJ/AewMBNN52621Zb/S8wBNgSOBd4EAU3IiIi0oYpwBFZj+Sj6D1Cs7Obp86du1unDh2uASa3cLZEREREWg01URNZz+SjaAHw7ZbOR4Y1S/V9AyaIbJb8NccEkeuZyvPeHJN71kNl/vTZZYOZDQLuBnYiND2+Gvi3u/dswmNeBBzs7sOb6hhZYGYjgJ+6e8uNgyw1Ug2OiIiIZJKZTTOzU0pd3kjHdDNbZmafm9kiM3vLzK4ys83rmNTPgY+AHu5+tLu/0JTBjazLzAaZ2QNm9qmZLTGzj8zsH2bW0d3vac7gxsyGm1l5cx0vCxTgiEirYGYTzeybJWy3VXIBsUVz5KupmNn+Zlbv/lJmNiD5p1vyeOENZWaPmdlPm+t4yTFVLuq2f5soF62RmXVIvTzE3bsDGwGnAYOAN81s6zokOQj4r7t7I2ZTSvco8AkwGOgO7E0YyGe97aRfVEYzTQGOiNSJmd1hZquTi6jC47up9V3M7Gozm56sm21mz5jZzsn6Ki9E3X1Hd7+/GfI/xsxWJnlbZGYTzOz4Rky/pDvDdbkba2ZnmNkHRfvPcPdu7j6rvnmt4jjHm1nezBYmj/+a2fdTxzzU3X+X2t7NbL/U68vMbKqZLU4+91FmNiBZp3LRRstFa5aUuyeS97XAzF43s8Gp9eeY2dtJmRhvZoek1o1MyvCVZvYZ8K/i9N29wt0nEIbqnwtcnNp/QPId+SR53Gxm3ZN1bwIHAr9KyuRZxXfxk9/iu8zsliT/c9O1/wAAIABJREFUH5vZOs2Xk4D5RTObb2YfmtmPzcxS6w83s3eSY/wH2LQRTut6z8w2IQQ2N7r7Ig9muvuN7r6y+LtnZt3N7K/JeZ5uZqeZWbmZDU/WjzSzp83s8uS3b7aZxan9u5jZQxZqixab2Rtm9tVkXV/gMaCdrf2fe3pVv5lV5Guamf3azJ41s6XAscnyo5KyvtDMJllocpcpbbIPThznGnw3pKY0GjpEYC6OG5y/mtJoK0MESpO6093PrmbdNcD2wDB3n25mPYGDgNZUvX6Ju19qZu2B7wH3mtl4d/+gth0bg5l1cPfVzXGsUpnZPsBfgOOBJ4F2wM6EEfpKdRfwO3dfZGZdgEuBvwH7oHJRqwyXi9bscsIw+0cSyuKOJCNRmtm5wE8JF4X/Bb4GPGRmu6bKxDDgEaA/NVxTufsqM/sHcFaSdifgGeBe4FSgE3APYWLnM919qJmNAZ5y90uTfYZXkfRxhODp28BRwP1m9njyHduRUAtxCvAfYFvChfIc4K8W+vg8lOTpb8BXgH8A40o8d5nl7vPMbCJwq5ndCOSBSTXUpl1HqHHbHlgB3EL4rqQNI0z10BfYDXjRzEa7+0uECoeHgNOT/X8IPGhmW7v7LDM7lFAWuhUSM7OtSnw75xDK9wSgUxI43UYoLy8BOeAJM/vI3Z8vMc1WTzU40uLM7EIz+3dL56MqZnajmf2pgWmk7+KMSO7MNRtr/uYj+wD3u/t0AHdf6O4PuvukZH3h/b+b3In6VZLPde5wm9kuZva4mc1J7oo9WdXBLLSTnmxmsZkNMbNVZtY7td6StE8t3tfdywn/iNoDu6b26WLhruzU5NiPm9k2qfUnJne9Pjezz8zsjmT5v4EBhH+KS8xsdLJ8jJlda2b/NLPFwI/ti3djzczOtXB3fLGF9t7nm9newI3AoNTdu+HV3L07z8zetXC3+RUz2z+1rsY7iITmF5Pc/XF3X+Puq9z9dXd/KJXGGAudkAt3mAFGJ3m61d0nA6vN7ErgHeA8IJecO5WLNlouSjl3LWgVsBkwKHl/b7n7Z8m6HwAXu/ubSU3Mo8CzwImp/We4+1XJeVlWy7FmApskz78OmLv/2t2Xu/sC4FfACDMrvjCuyTPu/q8kfw8RgrNCmT0PeMDdH07e22TgT4QmcwAnAa+5+93uXu7uo4F/1uHYWTccGEMINiYAn5nZr8xsnZvEZlYGjAB+7e6z3X0xcGEV6b2X1ACVu/urSZo5AHdfknwOn7v7anf/PaFs7t4I7+MWdx+f1EItBy4Arktqiyvc/TXCYBan1ZzM+kUBjjQ6+2JTj/Fmdmx127v75e5+RHPmESr/sZenLg4+MbObzKxzKm/fcffvNdYxm6JjorVM85Fjk4uU98zs92bWLbXueeDnZnaBme1hZhsU7Vt4/4OTpjSXVPGeNgeeSx5bES5Arqhiu72AF4DfunuUXCy/QrgLVvBVoAcwqor9OxIuAiCZXyhxK+FO3F7JsV8F/mNmHSzUTNwFnJ+0sR9EuBtGUo5nAGcn7+2QVJpnAn9I8vKH4rwA3wFGJvnpCXwJGOfuY5N1U5I0u7n7mCrey0nAJYR/UpsQLtAfN7P0nfZhSf76AkcAF5rZvsm6l4Avm9l1ZnZoOhioSqocH5LkqVCj9yThH+iWhADhacLd4xdRuWjL5aLac1dTeo1gNVDVMTok6/4PmAr8O/kf8MfU79lA4PrUb+tCQrOxfql0ptUhL1sA81JpDyhK+2nACeenVJ8UvV5K6C9SOMZJRceIgMJgB1tUkf+pdTh2prn7XHe/0N2/TPju/RT4NfCtok17AR2B6all0/miaj8rM+uclL0pyY2MhYT+W70a4a1MK3o9EPhZUbk4g/D9zw5310OPRn0Q7nhclDxvT/hRKAe2K9rOgPYtkD9L8jWSUOVbWN4PeAu4vJGPVw4Mb6L3sg/wOaHpRDvCj+xuwDE17OPAfg045m5AH8INkh2B14D7Uus7EJr3PJvkbSlwJ7BRsn6rJA9bFKU7DTglef5TwkVcVccv7P9D4FPCkKbp9acAk1Ov7wf+WFQ+lxPudK4hNAc4K7V+0yT9AallZcAiYD+gC7AM+C6wcRX5q3wfRcf8S9Gy4UB56vU7hIvjqt7zGcAH1ZyHLZLXo4HLirYZC/wieT4SmFi0fhxwQer1voRmMh8BFYRmGfsXvY+LqitL6XNHuEj7JeGCcBFwgMqFykVV567U3576PAgBd/H770b4Xd69aPkgQlO0i1Pn/vga0h5J6n9Ide8/WdYhSe/e5PUJxee9inSKz2tx2bgDuLWG78sNwPU1pH8R8ELRsnuAMU35mazPD+B1wo2Iyu9eUpZXAl8pKktO8r+/qrLCutdKvyRcfwwk1OxB6LN1RvJ8WPqzT5YVvleDU8suJPWbQNW/O48C/9fS57KpH6rBkSbloanHDSTttpPagwvMLE+4GMglNSlPFfax0GzkIgud4pYkNRK7mNlJZvZBUit0q4V28oV9qu2smaz/wnGryOvHhBFSdkrtd0ehiUUqne+a2TgLzVBeMbPtU+u7m9mdtrajYfqOcVUdAMdYGD70wSS9D83sG6n1ZqEJ38wkzWssNCcZmWzS7M1HkvQ/81C1PRH4EXBc4Y68h+r1P7n7gYS7XocTLnKvqyq9amzFunfOq/Jz4HF3f6po+Sigl5ntZ6Gj6DcId63TLvPQkXtTwo/9V1LrBiZ/30rd3ZpPuEDp76EZymGEoPJDCx01Ty7hPU2rZf1W1P6ea9IfmFK07MNkeUFNd3tx95fcfYS79yfUwHxAuMte6tC0leeOMAHtTwn9DDoAfVUuqjStlvVbkaFyUdW5KzGN+roDONdCZ/t2ZrYRocxNBMab2TfNbKCZGSHgWsXafmHXACPNbNfkt7hzUn62r+pAVTGzMjPbBbgP6E2oQYFQq9kh+X3vnqTfz8yObpR3HdwAnGhmR1ioZWxvZjuY2QHJ+vuAPZP/re3N7GDC96LNM7ONzOw3ZrZT6twdS7g+eCG9rbtXEPpSjTSzXsm1x2V1POSGhCBpHtDRzH5N+J0s+JQwyEDhu4S7zyXUFJ2ZlO2dCf1tanMt8MPUd6Kjme1mZl+4LlqfKcCRJmWhqcf5hKYAhYvrswidIrsB46vZ9XTCndCNkv3+QbgYGkro4Hok4Q5YurPmO4S7JjsQqt6LL5xqPK6FJhuHEprS1OQMQqfTTQl3NP+YWnctoSPnDsAuhH8WtbWnPp0wgVsPQvvoOy00d4HQ+fQCQrORPoQLkWGpfVtD85GK5O8XBq9Igq4xhI6VuxZtX5NphPNYk68Du5nZn5OLk8IxVxBqBs4inL833f2tqhLw0O79bOCwVGBZaFqwrbv3TD26uPt9yX5j3P1IQhm4FLjb1g7/Wt37q+19T6P691zKOfuItReSBYOS5XXm7h8R/klvmKRT5WZFr9c5d8CQ5PUehXOXpK1ysVabKxdVnbum4u73EO5qX08Iqt4GOgNfT27AfYnQ5HEJIeh5A7gy2fcW4HfA7cACQjO+X1F1k7dio83s82S/ewnne6i7v5+kvYwwyMYOhJsBiwhN1HatOrm6c/e3Cd+HHxL+d8wmBHy9kvUfEgYp+DWh5vJHhP8FEgLd3oSO//MJAzNcBHzf3R+oYvsLCOXjPUIZe5LwPVhZ4vGuJnwGswg3IJaRuvnh7u8RAtbXkpsEhb6DpxM+40VJGrfVdiAPfa3OBX5PqCX6hBDMd6tpv/VOS1ch6ZG9B+s29ZgNvAwckaxz4LSi7UeyblOxaaSqTwl3RR3olVr2d+Ca5PlxwIdFae5G+GFpV8txVyf5XJxsMxbYNLXNHaSaACTbHJ96fTiwIHleRmjWclBq/basW019ButWH48h1YQA6JpsPzR5/RRJc4nktREuFkamljVr8xFCB9ueqff3MvBgan1MCMK6Jfn9EuEO8vXJ+s6EJkAHFqU7jbVNK/omx/8ZoelPh8J5JdUEB9iY0ETublLNHQnB2hLgXUK/h+LyeVHRsl8RLm7Kktf3EC6++yWvewJHJ++pDyHA7ZGsOzA571slr18G4hKOOZx1m5ucT+iEvHdy/jfl/9u782g56/KA49+HEJbIqhhkEUIAOQJC2TyAoHiAqNjTauEUi0WiArWoRVsFZdFARawK1aMg1SgRUY/FI0cRWRTKokVbXKqySAtEDAHCFiBsIfD0j9/vwpvJzF2Sm0zmvd/POXMy866/eee5k3ne31ab0AAzKDG6QWP7569DfX0E5T/hV1OaYM6k/Cc5VK5ZDN9E4i2UtuWbNeLiq/WYU3rE0nzgnY2YeR+lpuQiSi3pxZR4PZQyWpVxMcHiorGs57Xr/I7x4WPQH5QhppNSc9338kzEhzU4WlnOyHKHbmpm7puZzVHS5o5i/2aTiSeAZzPz/o5lzY6Uo+ms2e2819ZybkC5I/lfwM9i2Q7QvcrWbMrxUmDtjvPcOcxxljleZj5enw4dcwsanRWzfHMudec1V33zkfcAd0QZU/9KSuftZqfLpyk1WfMoP74uovzo/VAt75OUH47fruc7ufMEWebwOIDSEXwecB/lR23ndg9R7oK+HPhuo5ncrZS20ptThj8dyecpHW+HRpE5hvIj+Jp6F/Z3lGFyk/Ij873A3LruHOCozJxb9/0E8LdR5tS4bBTnHnIucCblx+MjlDvJQyPoXE25I3hnvWav69w5M79FSS4vpDRzOA44pFGukTxY3+Ov62f7e0pMH5y9R4c6GTg9Ih4GvkS5GfFaSs3lzyl3FidTfvgbFxMwLiLi3+qy4a6dNNBqM8d9a5OvTSk1ItflOM5HpbEZ6sgkjZvoGLu/Y11Sahd+2lg2i1JTcFB9PZdyN/DC+vqAerxmn5s5lLucR0fEXwMfz8ydhinTiOety3am/Me7Z2b+snmebsdpli3KUJFPUn48XFXXb0+psn59Zl4TETPre9uu17VqniNK36T/zMyP1XVBSaDOz8xZPd7rqyh9IPbIzF91niMinqPMRTL0HqZSfihO7UgiB1r97BZn5rH9LotWH8aFpPEWETtSWpZMo9yAvY4yUMfd/SzXRGYNjtpgXDpr1n4v76bUytw+1kLkCx0NT4uITSNiA8qd1xXxDUoH2V1rf5h/pDGUY5TZiN8ZZfhcImITSnvrByjturu5l0ab/sxcUMt9bkRsUY+zUUS8NZYe/nlgRMQrKHeHuw27qwnKuJC0MmTmzZm5c5a+rVMz8zCTm/5a4QQnOiZha7uIuCkiDl+B/VfppIvRh4klV7Vcsc6aB0SdBwe4G9idUgOzcDmLczylWdqtlJqgSyj9CpbXBZSmLpdRalm2pDT9Geq4aPORDhHxXUozpDOzdLKVjAtJmkBGbKJWm7fsQ+mMDeXu7xcz83N1/VwazYlWuEAdTYLqspnA1yjVflBGJbkYOCHLyDgres5ZdDRVGg/dmkWNt4iYTpnobn9KR9eHKZ3MD8/MxV22n0PH9dXgqM3g7qLE/rf6XR5JkqTVzWhrcP65VrutR5ks7YyImDHSTuPsjkYZ3kgZIvgjq+rksfJnW15eP6J0Ut+B0jF9H8pcLssM2avBFGWehnVqE7rTKCOtjaWTsiRJ0oQx5iZqmflzynwjO3eui4gDImJJx7LOSRx7TpRYm269HThqqNlQRCwzh0iWyQWvp2Oyxtof4Zd1NJlbIuLtjXXTIuKKuu7hut0OtbnZSTSaKkXE9KgTMkbEhyNiHvCbepylmuRFmYDy8oi4P8oEiT+uy3tNqPj8pIuN/a+uZbojygSXkxplzog4MiJurtfrykZ/i5dQEpvzMvORLOZl5nmZ+XTd5vmJJYe7vsNdO/Xd+ynN0+6hTDx4SJZ5OiRJktRhzZE3eUFEBLAvZS6BG1bgvDMpw4beRxm68guUPgOfriNRdDZR6yzHrsDrKB2wh5YdTBlG8y2UyQ/3BK6IiD9l5nWUORjuokwQuQTYCViYmd+JiFey7Ghar6WMhrE5pUP2MjUiNdG4ljIR2KGUZnyvhTKhYm2iNqNXE7WI2JAyxOcXKRNMTgcupfSv+Exj08PrcRdT7tyfDhyTmQ9GxE3A7Ig4j9I07Zbs0e5wmOs70rVTH2Xmfv0ugyRJ0qAYbQ3OyVHmxnicMsv7NynzhSyvz2TmXbWWYQ4dNTE9bFNrF56k1Kb8FPh4Y/3xwOcz8/rMfC4zhyZ5G5q/YDFlTpTpWWbR/m1m3jfCOZ8BPpKZT/bosH0kZdLGMzPz8cxcnJk/6bJdL2+u5fpEZj6dmbdQ+tN09o85LTMfyMxHKaNdNa/XAZRJ1j5AuS73RcSp0ZkVDm+kaydJkiQNhNEmOEOTNk6hTJy2I6XT//LqNVHicO7MzI0oHemPAvYGNm6s3wY4MZae7HEmLwyp+2HK6FaXRMQ9EfGFGHkI3HuGmnr1MI0yx8nyejkwt6PG5XaWnVyx5/Wqic9Jmbk7ZWboE4CPsfTEiyMZ6dpJkiRJA2F5+uDMo0xm9FddVi8CJsXSs8CP9UfycyOc/9nMvIDStKs5l8EfgVk1ERt6rJ+Zh9T97s/Mf6gTLL6GUvMxNFxzr3MOWxbKhIvbD7N+pCF2/wRs3VHbMp2OmepHKzOfyMw5lEkeew2R3O09DXvtJEmSpEEx5gQnIl5GmR+j29wqf6AkOUdHxBoRsR9w2BhPcS8wvQ6HO5zTgDdHxN719eeAD0TE/hExKSLWiog9ImLPWu7DI2Kbmkw8QmkaNjQgwr3AVhGx1hjLeiGwQ0ScGBFTImJyRBzY8V6GS4AuBdYBTqrl3QE4kdIfZkQRsXFEnBkRO9dzrxkRh1IGgLi+x27dru+w106SJEkaFKNNcE6NFyZD/B/K4ABHdG6UmY9Rmkb9EyWJOB74+hjLNJsyDO6DtbnUMqOo1XPdQZkE8cz6+krgWErn/Acozbr+ldKkDWA3yoAAi4CbgF8Bn63rLqLUmtxbz7nNaAqamfMpNUEHA/Mo1+XExibdJlRs7v8IMAM4qO57RX1PZ4/m/JQkbSrwPeAh4H7gFOD9mXlRj32Wub6juHaSJEnSQBhxok9JkiRJGhRjbqImSZIkSasrExxJkiRJrWGCI0mSJKk1THAkSZIktYYJjiRJkqTWMMGRJEmS1BomOJIkSZJawwRHkiRJUmuY4EiSJElqDRMcSZIkSa1hgiNJkiSpNUxwJEmSJLWGCY4kSZKk1jDBkSRJktQaJjiSJEmSWsMER5IkSVJrmOBIkiRJag0THEmSJEmtYYIjSZIkqTVMcCRJkiS1hgmOJEmSpNYwwZEkSZLUGiY4kiRJklrDBEeSJElSa5j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\n" }, "metadata": { "needs_background": "light" @@ -30,7 +30,9 @@ "\n", "%matplotlib inline\n", "dnaline = 3\n", - "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline)\n", + "edgecolor = (1,.2,.2)\n", + "\n", + "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline,linecolor=edgecolor)\n", "part_renderers = dr.SBOL_part_renderers()\n", "parts = list(part_renderers.keys())+[['EmptySpace','circular test']]+['EmptySpace']*5\n", "dontrender = ['StemTop']\n", @@ -56,7 +58,7 @@ " #ax = plt.gca()\n", " design = [{'type':part, 'name':'test', 'fwd':True,\\\n", " 'opts':{'label':partlabel,'label_size':13,'label_y_offset':-8,'color':(.5,.5,.2)}},\n", - " {'type':part, 'name':'testr', 'fwd':False,'opts':{'color':(.2,.5,.5)}}]\n", + " {'type':part, 'name':'testr', 'fwd':False,'opts':{'color':(.2,.5,.5),'edgecolor':edgecolor}}]\n", " start,end = dr.renderDNA(ax,design,part_renderers,circular=circMake)\n", " ax.axis('off')\n", " xdist = end-start\n", From df214183fdf75d352f28061b32fdb7ab93061536 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Thu, 28 May 2020 10:48:16 -0700 Subject: [PATCH 37/43] add vscode to gitignore --- .gitignore | 1 + .vscode/settings.json | 3 --- 2 files changed, 1 insertion(+), 3 deletions(-) delete mode 100644 .vscode/settings.json diff --git a/.gitignore b/.gitignore index fd93017..3fe8076 100644 --- a/.gitignore +++ b/.gitignore @@ -58,3 +58,4 @@ docs/_build/ # PyBuilder target/ +.vscode/settings.json diff --git a/.vscode/settings.json b/.vscode/settings.json deleted file mode 100644 index 079583a..0000000 --- a/.vscode/settings.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "python.pythonPath": "C:\\Users\\andrey\\Anaconda3\\python.exe" -} \ No newline at end of file From e75e10fe1b2a136be168cd106cbc865f63266bf2 Mon Sep 17 00:00:00 2001 From: dr3y Date: Thu, 25 Jun 2020 12:09:12 -0700 Subject: [PATCH 38/43] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 95c0073..7b4b688 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ The DNAplotlib library is contained within the `dnaplotlib.py` file in the `lib` We provide an extensive gallery of use cases for DNAplotlib in the `gallery` directory. Click on a thumbnail below to go directly to the example code: ### Genetic Designs and Annotation - + From 55ea7b07081db9d0644f5a30861fd8b82edc71f1 Mon Sep 17 00:00:00 2001 From: dr3y Date: Thu, 25 Jun 2020 12:11:44 -0700 Subject: [PATCH 39/43] gallery view front and center --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 7b4b688..47c94d7 100644 --- a/README.md +++ b/README.md @@ -14,8 +14,10 @@ The DNAplotlib library is contained within the `dnaplotlib.py` file in the `lib` ## Getting Started We provide an extensive gallery of use cases for DNAplotlib in the `gallery` directory. Click on a thumbnail below to go directly to the example code: +### Gallery of all part glyphs + + ### Genetic Designs and Annotation - From b3233f95b99d4726ce87a73a48703595bb62b970 Mon Sep 17 00:00:00 2001 From: dr3y Date: Wed, 29 Jul 2020 01:12:52 -0700 Subject: [PATCH 40/43] typo --- gallery/all_parts/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gallery/all_parts/README.md b/gallery/all_parts/README.md index bcb9f1b..6c721a8 100644 --- a/gallery/all_parts/README.md +++ b/gallery/all_parts/README.md @@ -2,5 +2,5 @@ -Illustration of all SBOL Visual parts in forward and reverse direction. Each part can have its apperance customised to convay further information. +Illustration of all SBOL Visual parts in forward and reverse direction. Each part can have its apperance customised to convey further information. From 60214896f7c9e527d2b941d3919a0762e35cd3c2 Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Tue, 5 Jan 2021 14:41:11 -0800 Subject: [PATCH 41/43] Working on making a "bound protein" representation --- dnaplotlib/dnaplotlib.py | 54 ++- gallery/notebooks/interactiveplot.ipynb | 523 +++++------------------- 2 files changed, 152 insertions(+), 425 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index a686898..0cd3eda 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -117,6 +117,7 @@ def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): x_extent = 10 arrowhead_height = 2 arrowhead_length = 4 + y_offset = 0 # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): @@ -139,6 +140,9 @@ def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + print(y_offset) # Check direction add start padding dir_fac = 1.0 final_end = end @@ -153,18 +157,19 @@ def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): end = start+x_extent final_end = end+end_pad # Draw the promoter symbol - l1 = Line2D([start,start],[0,dir_fac*y_extent], linewidth=linewidth, + l1 = Line2D([start,start],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=9+zorder_add) l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], - [dir_fac*y_extent,dir_fac*y_extent], linewidth=linewidth, + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=10+zorder_add) ax.add_line(l1) ax.add_line(l2) p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent+(arrowhead_height)), - (start+dir_fac*x_extent, dir_fac*y_extent), + dir_fac*y_extent+(arrowhead_height)+y_offset), + (start+dir_fac*x_extent, + dir_fac*y_extent+y_offset), (start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent-(arrowhead_height))], + dir_fac*y_extent+y_offset-(arrowhead_height))], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 ax.add_patch(p1) @@ -2028,6 +2033,8 @@ def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): x_extent = 10.0 y_extent = 10.0 linestyle = '-' + y_offset = 0 + face_color = (1,1,1) # Reset defaults if provided if opts != None: if 'zorder_add' in list(opts.keys()): @@ -2048,6 +2055,10 @@ def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): linewidth = opts['linewidth'] if 'scale' in list(opts.keys()): scale = opts['scale'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'face_color' in list(opts.keys()): + face_color = tuple(opts['face_color']) # Check direction add start padding final_end = end final_start = prev_end @@ -2055,10 +2066,10 @@ def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): start = prev_end+start_pad end = start+x_extent final_end = end+end_pad - ori_center = (start+((end-start)/2.0),0) + ori_center = (start+((end-start)/2.0),y_offset) c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) + facecolor=face_color, zorder=12+zorder_add) ax.add_patch(c1) @@ -2382,6 +2393,19 @@ def connect (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ind """ regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) +def bound(ax,type,num,from_part,to_part, scale, linewidth, arc_height_index, opts): + """renders a circle above a part to indicate that it is bound""" + color = (0.0,0.0,0.0) + circle_offset = 5 + part_midpt = ((from_part['start'] + from_part['end']) / 2) + start = part_midpt- circle_offset + end = part_midpt + circle_offset + if('y_offset' not in opts): + opts['y_offset']=3 + opts['y_offset'] = opts['y_offset']*arc_height_index + opts['x_extent']=circle_offset*2 + opts['start_pad']=0 + sbol_origin(ax,"Origin",0,start,end,start, 1.0,linewidth,opts) def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): """ General function for drawing regulation arcs. @@ -2894,7 +2918,8 @@ class DNARenderer: # Standard regulatory types STD_REG_TYPES = ['Repression', 'Activation', - 'Connection'] + 'Connection', + 'Binding'] def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), backbone_pad_left=0.0, backbone_pad_right=0.0): @@ -2979,7 +3004,8 @@ def std_reg_renderers (self): return { 'Repression' :repress, 'Activation' :induce, - 'Connection' :connect} + 'Connection' :connect, + 'Binding':bound} def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False,circle_vheight=12): """ Render the parts on the DNA and regulation. @@ -3120,7 +3146,10 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p ############################################################################## arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + if(reg['from_part']==reg['to_part']): + arcend = arcstart+.1 + else: + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 arcrange = [arcstart,arcend] reg['arclength'] = math.fabs(arcstart-arcend) reg['arc_height_index'] = 1 @@ -3152,7 +3181,10 @@ def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, p # arc height algorithm: greedy from left-to-right on DNA design arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + if(reg['from_part']==reg['to_part']): + arcend = arcstart+.1 + else: + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 arcmin = min(arcstart,arcend) arcmax = max(arcstart,arcend) diff --git a/gallery/notebooks/interactiveplot.ipynb b/gallery/notebooks/interactiveplot.ipynb index a8e4d3f..5242881 100644 --- a/gallery/notebooks/interactiveplot.ipynb +++ b/gallery/notebooks/interactiveplot.ipynb @@ -9,8 +9,8 @@ "output_type": "display_data", "data": { "text/plain": "
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gvuGW9sBQYD6wvp5j+gEOWFzPuZ8B64AB+EU88wHee29F+rEOuNA596+tRhvH05Mk5zlgRD7w008+qXuthg1FNY0tD1WJSLbdCVwCjOxUWcmfJ07k/IMPZkXHjk1y8T4bNvDniRPpWNPV7WPgP01ycZHtoARHJHe1z3YArZ1z7gv17TOzg4HXgS875z6t55jxQIVz7oI62zvhk6JfOefuMbMu+EYBX6pziQrgLOdcwz8QxPE8guBQ4Bmg7qzhVcTxbg2+lojktjjeRBCcDLwDdBmwfj23vvEGl4wdu90jOSNXreIvEyey88bqkejVwCnEsSbqSdZte59BEWnVgijqFkTR1cA3tnDYm0EUHdZSMe2gliX/7d+Icwck/10B4JwrBV7LcNyD25TcpMTxUuCLwBuNiE1E2pI4/gTfUbMSYMD69Yx/7TUu/PRTOjdioeMu5eVc/Mkn3P7GG+nJTQXwLeK4JUeQReqlBEckhwRRdCq+7OpXWzm0H/ByEEWPBlHUZSvHtknOuenATOD0Rpz+DWAD8HY9+9fiuww1/t8+jlcBRwNPN/oaItI2xPFjwFeBUoCOVVWcN3Mm/33xRX70ySeMXLUK3BY6BjvHqFWr+MmUKTz6wgucPWsWHWrK0tYAJxDHTzXzTyHSYCpRE8kRQRR9BbiPZJ4HwM7durH/0KGM7t+f0w84gFemTeODefOoqHlj+grwWBBFx8dhuDHDZdu6C4EJZrYE+KdzbqGZ9QXOB2bXPTjZdzpwGb4b2qpk+1+BwuSwFcBv8B3Trt6u6OJ4PUHwFeBu4OvbdS0RyW1x/ARBMA64C9gPoOemTZw1axZnzZrF8oICZhcVUdKlC2vat8eAovJyhqxdy9C1a+m1aVOmq74LnKmRG2ltlOCI5IAgivYEHiBJbvp168YPv/Qljho9mjzzTVIG9+7Ntw44gMWrV3PjSy/x5AfVXTyPwK+9cnYWQm/VnHPPmdkhwG+Bj8ysA76hwBPA7cCxwNlm9k2gCn8ncyLwFefcs2mXygO+hm8CUAD8BPgz8JftDtLX2J+ePPfJ2309EcldcfxpkuR8C7gSGJTa1busjN5lZYxbvrwhVyrBVwo8QBy32GKRIg2lBEckN/wE6AAwsGdPbj7nHHoXFWU8cOdu3Yi++lWG9O7NP194IbX5jCCKfhuH4fyWCXfH4ZyL8aUdmZyTfG3tGj8xs3eBN51zJU0WXEocVxIE3yHDqJKISC1xXAXcTRA8gG988k38a1zmN40aa/DNUv4DvEgcb/sEHpEWogRHZAcXRFFP/N04AC7/6lfrTW7SnXPIIbw9axZxSQn4kZ/v40urpBk45+5t1ifwd1GvatbnEJHcEcebgKeApwiCfGAIMAoYgS+pdfhukNOBKcBcrW8jO4odKsExs5eBA4FyfDeQ2cAfnXMPZzOudEmMzzvn/pjtWKTN2B2/xgqDevVirwEDtnJ4jRP33juV4ADs0+SRiYi0ERk+o8wBrnTOPZhhP/hy13865/6edo198DcqAvzr+jLgJefc+c0avE9cZiZfIju8HbGL2h+cc12AXvhh0vvNbET6AebtUMlbOjPT+iWyLTqlvulTVIRZwxcm7tWlVhOvTvUdJyIiDZL+GWU8cK+Z7Vp3f3LMt4ErzexogGS9rOeAl/FzY7oBR+En8ovINtgRExwAnHMVwA340po9zcyZ2Y/NLMYPqQZm1s7Mfm9ms81spZm9YGZ7pK5hZuPN7C4zu83MVpnZAjM73cz2NrOJZrbWzF4ys13SzullZnea2SIzW2xmd5hZz2TfP4FDgd+ZWamZTUs77ztm9rGZrTaz91IvaMm+y83sRTP7c9Kt6fGt/fxBFBVs/7+i7OiCKCoGfpd6PHPJkvQOaVs1qWb0BqBBM0tFpOHMLDKzB7Mdh7Ss5DPKzfhKmboL8qaOeRv4BEh9LhmJT4yuc85tcM5VOedmOeduaomYRXLJDpvgJN2MLsIP9abaQZ2PX3+iC/Ae8AvgLOA4/LofrwHPmVn68r2nAg8DPYE/4F+QrsB3PNoJX4N6edrx9wA98HWquwO98S0Xcc79MHmO1B2akUms3wV+CZyRnHsZ8EiduzpfABYBA4FT6vu5gygaGkTRn9Awcr3M7LdJwnvWNp433sxuaa64mlIQRSOCKLod/3vwhdT21Rs28PFnnzXoGqvWr+eBiRPTNz3apEGKZElygyn1VZ58VW9ryVicc6FzrslaeJvZfcnNNGnFks8oP0gebtZCOak0ORjYDXgr7bglwINm9g0zG9YiwYrkoB2xjOsyM7sE2IT/cHeKc25mUpbzZ+fcrOS4SjM7F7jWOTcVwMyuAC4AjseXtwG86Jx7Mtl/J3AjcJdz7rNk20PAd5LvdwG+DIxwzn2ebPsZMNXM+jnnFtUT84+AK5xzqUTsKTN7Cd+5JDVXZ55zLtUytlaz+SCK8oFj8GtyHAsYfhFBqcPM8vCJ7krge8Cd2Y1o+wRRVFCxcePx7Tp2HIVfKbodfq7M1/C/B9V27duXPkVFXPXEE3z7wAM5ce+96y1Xm7diBT+77z7WlZWlNk3Fr6EjssNLyn8ASG5atHPOnbM91zSz9s65nOgalUs/SyuU+oxShL8Be4Fz7sMM+zvgy4JvIilBc86tNbP9gZ8BITDSzBbg5xr/uyV/CJEd3Y44gnOlc667c66vc+4g59yEtH0ldY4dSFrbVOdcVXLMwLRjFqXtX193G77cLdWSKnXenLT9s+rsy2QIcH1SBrfKzFYBXwT6byF2gijqHUTRpcAM/Lobx1HnQ61s5svAAPzI3UF1ShKdmf3EzN5PKz/cNdl3KX6E7ey0O735ZjbGzF4xs+Vm9rmZ/S/9rlojyxwLk3LEOUnp5NPpo3lm9rKZ/b2gR49337vqqo3LJ058GD+6eHXy35NJ+z3YvV8/Dhw2jM/Xr+etWbOYvWwZVzz+OOfffjsPxzErSktxzlFRWcn78+Zx7ZNPcubNN1NSe62D38ZhqO440maYWRcz+4eZlZjZCjN70swGp+1/28z+z8yeMLO1wEVm9v2k1PiXZrYwKTm+0sz6mNnjZrbGzKYkH1JT17nGzJ5Ie7zYzC5NXldKzewDMxuXtv+Y5LVjlZktNbN7zKxXsu93+BH+7ybnphaSNfMl2tOT8940swPrxPC/5Oddil8zS5rHlc657vjqjqfw64xttt85V4j/3DAKuC210zk31zn3Y+fcKHxlyfXATWZW9zoisgU74gjOltSdfDAfn1wA1Xf3ByfbGyN13mBqSsSG1tmXaQLEXCBMdVKpRxVAEEUGjMOP1nwDvyigNNz3gP855540sw+A7+JH0FK+C5wELAD+D3jczPZ0zv3JzEYBFc65C1IHm1mqRPFNfEebW/Crxh+Yds1Tk68LkuvfDLyIH2VZiU9OL0/2kVyjK3AA8Dm+ZPGJJI5yAMvL+17xSSd1LBoyBFee+UbrngMG0LmggE8XLuTTRZsPHn44fz4fzp/P1U8+ieFrLTPYCJwbh2Gr6UQo0kLuxN8oGAusxpcmP25m+zjnUsn++cBXgBPxd9vPws+TyAeK8XMr3sLfsPoR/m/+//CvAXtt4bnPw687MhP4f8CtwJ7Jvg34lu0f4MukH8IvCnuuc+4PZjYaWJ6URKecA/waOCE57zvAs2Y20jm3MDnmKPxrUX9AjWyamXPuczO7AJhlZl9xzj2W4ZjPzOwB/M2rzRZads6tBq5NbsDtjX9fEZEG2BFHcLbFeOBSMxthvh72MnxS92RjLpa8UTwL/MXMuptZD/xK5P9LK09bDOxa59S/AZcnd/XNzDqZ2SFmtlv1EWZ5QRSdh18F/W38G6mSm22QjJIcT83dsNuAM80svTvYX5xzM51zG4BLgWHA/tTDOfehc+4l51xZ8mYTAQeYWee0w150zj2ZjBDeCXQmKXNMRgUfwn+Iwsx6A6cDFzrnljjnNiXX7Fcdh1lej9GjXdehQzEz+vTowen7789pY8eyc7du7DNoEPsPHcrspUt5e9YsVm+oVa24ijoljlBvclMCHBaHoUrTpE0xswH4ZOT7zrllyd/hZcBwardLv88595rzUiP8q4CrnXPlzrmJ+Enibznn4iQxuhvYw8w6biGE651zU5OJ6LcCo1PHO+decc5Ncs5VOOcW4N9jjtzKj3Rucs04iesGfPL0jbRjpjvnrk/2r898GWlKzrmVwF+Bq5IbrLWY2c7A10nmEZvZbmZ2mZkNTyoIOprZD4DuwBstGbvIji7XE5z/w8+1eRY/ce8I4Gjn3JrtuOa3gbX4OQtT8W926ZPZ/4bv4LbKzKYAOOduBv4E3I6/Yz8P3/mqfRBFu/bcc8+juxQXH4p/o9tvO2Jr61Jzb1LlIHfj77qmv8mXpL5J3uSX4UvaMjKzYWb2SFJ6toaaN5neaYdtS5ljakTxQ6spV1yJv6M6ECC/Y8euBb16dQLo1qkT9194IT8/5hguPe44Jvz4xyxbu5Z3Zs9m3aZaecwc/F3fneMwLAB2wd9Rfoua+VpV+AT838DhwLA4DNV+VNqi1N/htLS/wxXJtkFpx5VkOHeJcy79nsF6Nv97N3yzm/qkH78u/XgzO8DMnjOzJclrznigz5Z/nNrl2IlZ1C6dLtnKNaR5/AN/Ayv1OSHVZbUUn9gsoWah5rX4krVn8aOKC4AzgdOcc++0aNTSZMxsqJk9mJSnlprZfDP7b3LjXZrJDlWi5pw7fAv7NpubkpT7hMlXpnPO2dp1nHPj8W8wqcfL8ElOfXFMpKblY/r2O4A7Uo+DKDocn4B9ecgp9TZN25JOQRTVc2O+7Unujl2Av9P1mdVMrs/Hl4aNTx4PTjunEP/BIdV2LFN54b+AhcBezrkV5uf0fETj50LNTf47PPldyvSzWCr+oo4dKepYcyN4U2UlpTWNAVLOAv4Th2FFakMchouA65IvgihqB1TGYajfGRH/d+iAQVu54dXwnutN50H8za6Tk0nnp+Jv1mwpplrl2Imh1L7rn42fpU3J9Bkl+f3qmTwcv5XzF+DngkpueQqftI4E1uDLRE+giedUm5qH1LJDJTg5ZiK+PfXOwJgsx5ILjsGPxIzD3/VK2Qt4xsxS9e0/Nb+a9ALgGvxdz9SdscX48rO8pNwM/FyZGcCqpLzsiu0J0jm31MzuBW4ws5845xaYWXd8Df9zzrnSyrKy0uRFqv1nn3/OxXffzaljx1JZVcV/3n6bVetrVZd0i8NwqyOS6cmPSFvnnJtnZv8FbjSzS5xzi5KS4yOBJ5xzG7MRV3JnowhYnSQ3Q/DLHaRbDOxuZpY2kjQev2Dkk/gbMBfgy+3UTEAki5IGISPxNyxWJ5s/w988TR1zMvAb/N/sBuBW59xlSSntLfjKng7Ah8BPnHOTkvMuxy8TMRk/0jcZ32lXyP0StVYrDsN1cRjejK/3Phi4F99SUhrne8CjSe364rSvZ/FlWt9LjrsFeARfmjYG+ErahOJb8PNnViRlK/nAT/GLt67Br3H0BNvvO8A04GXz3Zk+wtdhOwBXWVletnLl26mD350zh0sfeIBfP/QQH9Ze4+bShiQ3IpLR2fgPGq8nf4fv4xsKZG2UM0lYLgAuTkqY7gPur3PYv/AjzyvNLNUK8XZ8GfSD+FK7s4FjkhEBEckS59wKYApwi5mdZWajqks0ADM7Fl/dczl+kdcRwP+S3Xn4Be2L8TfDJ+PXUExvEtKgNRTbIqtdSizZFERRX/w8ku9Tuw48kw1xGBY2f1S5I+mIdqhz7vVsx7I1SUnZn4Ef13NICPxBJWcisj3SS53jMNQyBCJNLKn++Bm+0mQP/Nzt6/DrID4JTHHO1R2pzXSdIvzN1tHOuU+SEZyznHNDt3xm26QEpxVKFvY8HrgIOLqew5TgbKMdKcFJCaJoX/wE1D3xd5YnA/fEYTglq4GJSKuTjXmZSopEGi6Z+3savpX894BLgL8lzajqHtsb34XvcPz84iqgG3C4c+6VVImac05rJGWgOTitULLg4uPA40EUDQd+gG8D2j2rgUmLi8NwMj6pERERkR1Y0ml1vJldjF/bqAQ/9yaTq0mWkEjmCaZGcNJvKqh5SD00B6eVi8NwRhyGP8N33bgAeC/LIe2wnHO2I2vdxr8AACAASURBVI3eiIiIyI7LzHqY2dVmtoeZtTezdmZ2Cr5U7TXgeuD7ZnZssq+rmR2cnN4V33b+czPrAlybnZ9ix6QRnB1EHIbrgVuDKLoN3yns/CyHJCIirYjKxURanU1AX3xzo35ABX7U5mLn3IMAZnYBcBW+ocg6fMOjN/BzbW/HNw5ZAvwev+yFNIDm4IiIiIiISM5QiZqIiIiIiOQMJTgiIiIiIpIzlOCIiIiIiEjOUIIjIiIiIiI5QwmOiIiIiIjkDCU4IiIiIiKSM5TgiIiIiIhIzlCCIyIiIiIiOUMJjoiIiIiI5AwlOCIiIiIikjOU4IiIiIiISM5QgiMiIiIiIjlDCY6IiIiIiOQMJTgiIiIiIpIzlOCIiIiIiEjOUIIjIiIiIiI5QwmOiIiIiIjkDCU4IiIiIiKSM5TgiIiIiIhIzlCCIyIiIiIiOUMJjoiIiIiI5AwlOCIiIiIikjOU4IiIiIiISM5QgiMiIiIiIjlDCY6IiIiIiOQMJTgiIiIiIpIzlOCIiIiIiEjOUIIjIiIiIiI5QwmOiIiIiIjkDCU4IiIiIiKSM5TgiIiIiIhIzlCCIyIiIiIiOUMJjoiIiIiI5Ix22Q5ARGRHEUWBAacD5wBH0rCbRMuAB4F/hGE8vfmiE5FsSF4X3gQOSNv8V+DXYRhv2o7rngHcBHRONq0BRoZhvLix1xRpK8w5l+0YRERavSgKegG3Al9p5CXWAxcDt4dhrBdekRwSRcFBwH3AwLTN7wDfCMN47jZeqxD4f8D5aZvL8K8ft+j1Q2TrlOCIiGxFFAXDgWeAIenbBw3ahz32+DLDhx9MYWF38vPbs2nTelasmMvHHz/LlCnPUVq6vO7lbgAuDsO4qoXCF5EWkNwEuQM4Pm3zKuCcMIwfa+A1dsOP+O6Rtnk6cFoYxh80VawiuU4JjojIFkRR0AOYCAxLbRs79jQOOeRsunbdaYvnVlVVMnfuZJ566k8sXz6n1mXDML68OeIVkeyJoiAP+BlwNbWnAfwN+NWWStaiKDgTuJGakjSAe4Hvh2G8thnCFclZSnBERLYgioLHgRMB2rUr4JRTrmS33Q7fpmts2rSBxx+/gilTnkvffGwYxk83WaAi0mpEUXAgcD+1S9bexZesldQ5thC4DjgvbfNGfEnarSpJE9l2SnBEROoRRcEXgFdSj7/+9WsZNerIRl2rqqqCu+/+EXPmvJva9AGwr0rVRHJTFAU9gfEkN0gSq4BzwzB+NDlmFPAAMDrtmGn4krQPWyhUkZyjNtEiIvX7ZeqbMWNOaHRyA5CX146TT/4D7dt3rL4kcPT2hScirVUYxivxTUl+DlQkm7sD/42i4O9RFJyLL39NT27uBgIlNyLbRwmOiEgGURR0AL6Yenzooedu9zW7dOnFPvvUasKmBEckh4Vh7MIw/itwKDAvbdePgduAwuTxRnzXtLPCMC5t2ShFco8SHBGRzPYCOgF0796fXr2Km+Siw4YdmP7wwPqOE5HcEYbx28A+wIsZdn8GjAvD+DbNtxFpGkpwREQy61n9Tc/+TXfRngPSH/ZqsguLSGt3EplvagwALoiioKCF4xHJWUpwREQyq27nWla2rskuWlZWq/qk0auci8iOIYqCzlEU3AHcTjIqnKhI+/5HwBtRFAxt0eBEcpQSHBGRzKakvlm0aBrl5Rub5KLz53+U/vCj+o4TkR1fFAV74BsJnFVnl8PPw0lfAHQ/4L0oCk5pofBEcpYSHBGRDMIwXgZ8Cr7F8wcfPLHd13SuismT/5u+6bXtvqiItDpRFFgUBefh177ZPcMhj4ZhfAPwNeAnQHmyvSvwUBQF16lkTaTxlOCIiNTvltQ3r7xyM6Wly7frYhMnPsiyZbNTD0vxCwGKSA6JoqALcAdwKzUlaRuA19MO2z2KgsKky9o/gIOBkrT9P8SXrA1rgZBFco4SHBGR+v0LWAJQWrqC+++/tO4cmgabNettnnnmr+mbrgvDeMX2hygirUUUBXviS9LOTNv8CTAWuJSakZrdgBejKOgLEIbxRHyXtfQh3v2AyVEUnNrccYvkGnNOHQlFROoTRcFRwNMkN4R69Srm1FOvYuedRzbofOeqeOONO3nppRupqqpMbZ4EHBqG8YbmiFlEWlYUBQacB/wT6Ji263bg4jCM1yXHfQ9/4ySlBPhyGMbT065zMfBnoH3acdcDl4Rh3DSTAUVynBIcEZGtiKLgR8A/Uo/z8toxfPhBjB59NCNHHkaHDp02O2fFirl8/PGzfPzxMyxfXpK+awFwUBjG8zY7SUR2OElSMp7ajQTWAxeGYXxHhuMvBv5OTRXNDGBsGMar044JgAeAIWmnvgccE4bx0ib9AURykBIcEZEGiKLgDOAmoHP69vbtO1JcvC+Fhd3Jz+/Apk3rWLFiLosXT890mbeBr4dh/FkLhCwiLSSKghC4PHk4BTgtDONPtnD8CfgEJnV35KEwjL9e55ju+HmAqa5qLwFHhWFciYhskRIcEZEGiqJgBH7i8CHbeOp6/B3by8MwLt/awSKyY4miIB94Fl9ydnEYxusbcM5F+JI2gHlhGBdnOMaAC4FfAvuHYbyoyYIWyWFKcEREtlEUBbsC3wROB0bVc9gm4CngP8CTqRp8EclNURR03JY5MlEUXAX8OnmYMcFp7LVF2jolOCIi2yGKgtHACOCRtM3HA2+k19SLiED1qMwlwLWAJZv/HobxT7MXlUhuUYIjItIEoiiofjENw9i2dKyItE1RFLTDd0T7btrmV4EvqXxVpOloHRwRERGRlnEVtZOb14CTldyINC0lOCIiIiLNLFmw8xdpm+7Bd0XTgr8iTaxdtgMQERERaQOOT/v+LeCsMIyrshWMSC7TCI6IiIhIy9oAaBK0SDNRgiMiIiLS/N5M+/4I4E9RFOhzmEgz0B+WiIiISPO7Bbgj7fElwANRFBRmKR6RnKUER0RERKSZhWHsgB8Aj6dtPgW4VyM5Ik1Lf1AiIiIiLSAM4w3AycDf0zZ/BfhVdiISyU1a6FNERESkhUVRcBM1a+LMC8O4OJvxiOQSjeCIiIiItLw3sh2ASK5SgiMiIiLSgqIo2B/4W9qmadmKRSQXKcERERERaSFRFJwKvAz0TDYtBM7KWkDS5Mzs52Z2uJlZtmPJuiDIIwiOIgh+1JJPqwRHREREpAVEUXAK8CDQMdm0AvhqGMaLsxeVNINjgZeAj83sIjPrmu2AWlwQ9CAIfgJ8CjwLHNmST9+uJZ+stTOznfDdTfYFRgEDgfbAJqAE+AR4F3jUOfd5iwcYBEOArwFjkvh2xv8/3ADMSuJ7A3iCOF7f4vGJiIhIRlEUjALGp22aARwXhvHM7EQkLWAU8E/gGjO7C7jBOfdxlmNqXkGwD3AhcAbQKVthqIsaYGZfAH6Lzy4bMqpVDjwFRM6595ozNoLA8EnNpcD+DTxrHfAwEBHHs5srNBGpEUVB9YtpGMYqSxCRWqIouBU4L3k4H9g3DOPlWQxJmomZPU/9IxavAdcD/3XObWq5qJpREBQAXwcuAg6o56jHieOvtFRIbbpEzcxOM7NngFeAo2j4v0d7fN/6SWb2qJk1z7BbEFwMvIlPVhqa3AB0xtfzTiUI7iMIRjZHeCIiItJg6Z8x3lRy0zYUFm5WLHUocB8w18yuMLMBLR9VEwmCwQTB1cBnwF3USW4+79AhK2FBGy5RM7Mz8P8zat1pLS7uwsiR3dlpp0706FFAu3ZGeXkVK1aUsWTJeqZOXcWCBdXVX4ZPdE4wsy85515usgCDIAJ+n76pwoy3+vThzb59mVVUxMLCQiry8uhcXs7g0lJ2W72aLy1axJDS0tQp7YFvACcRBHsRaxhcREQkS5akfX9yFAXHhGH8dNaikRZxyilDyM833n13GVOnfk5VVfWunYHfAb8xs8eAG4AXXWsvrQqCPOBofBnaCdT5HF1uxvO77MKDgwfTo6yMv8RxNqJsmwmOmY2lTnIzcGBnTj55CD16FGQ8p1evjowY0Y1DD+3HkiXreeihOSxbtjG1Ox94zsxGOue2vyQsCL5NWnLjgBf69eOaPfdkVcHm8S3v2JG5RUW80q8fN40cyT4rV3LVpEn0KStLHdIJmEQQFBPHq7Y7PhGRNsDMDgBOwr+J75a2ywGTgCeTrw9SH0rMbHhy/PHAQdR+n52bds6rzrmy5JxewDHJOUcD6ROS1+An6D4BTHDOrW3an1Ja0BXAl4G98Tcgn4ii4KIwjG/KbljS3AYPLmLw4CLWrNnE5MnLmTRpOWvXlqd25+Pnf58MTDOzG4A7nHOrsxVvRkHQEzgX+AEwrO7uxR078vDgwTw6aBCfJ59VD1ucvd4ZbW4Ojpn1AWJgUN19Bx+8E0ce2Z+8vPrL5ysqqnjiiXm8//6KTLs/BA5yzq1rdIBBsDvwDlBU63nN+PMee/DQ4MFbPL1LeTlXT5rEgcuWZdr9FHAScVzZ6PhEJCPNwck9ZrYQ6JftONKc7Jz7b7aDkMaLomAw8Cq+iVHKpWEY/192IpLmkD4H58wzhzNsWO0mapWVjqlTVzFx4jJKSjLes1gP3I1vSvBBc8e7RUGwH35uzenUdP+r9lafPjw0eDCv9+1LZV7tmR6HLV7MXyZOTD3UHJxm9ieS5KZDB6Nnz5oRkTfeWML998+irCzz5/9168q5884ZtZKbvn07kfb/cy/gN42OzDcU+DdJcrO0oIDlSRbczjl+9dFHXPrRR+SnjW+mG1hayvjXXquV3HzUvXv6IccBZzY6PhEREWm0MIxL8HNqJ6VtviaKgqOzE5FkQ36+MXp0D845ZwQXXjiKceP60KFDrY/khcB3gffN7HUz+5aZZS4xag5B0JEgOJsgeAc/KHAuacnNmvbtuWfoUL72xS9y8QEH8MrOO2+W3GRbmypRM7NhpH3AP/nkoQweXMQjj8xh+nQ/Ejht2mpuvXUa3/rWMLp3r/ldWrJkA/feO5PVq2saXuy9dy9OOGEQ77+/gieemJfafLGZ/dU5l3GIZyuOAA4BX8P44/33Z1WHDvx54kRGr/bxnVZSQnFpKb/abz/Wpk3eCpYv59o4plt59ZAn/x4xgptHjOBHn3zCmbOrK+d+SxDcTRxXNCI+EZE26aKLRlWXMJeVVTJz5hpmzFjNzJlr2Lix5qZY+/Z5DB1axPDh3Rg+vBudO/u32aoqx7x565gxYzXTp6/m88/Lal1/wIDOjBjhz+nTp+Ym6T//OYVVq3Kj0ZJ4YRgviqLgMHzp4UH4m83XAWoI1Ab17duJ444bxJFH9ufDD1cyceJSli7dmH7IwcnX38zsFuAm59y8jBfbXn45kh/gu/31qrt7ateuPDhkCE/vsgtl7Vp3CtG6o2t65+FrHRkypIjddvOjG9/85jCef34Bb77p5/8tXbqBf/97Kt/85jAGDerCtGmrePjhOWzaVDNyctRR/TnooJ0wM/bdtzfvvLM0NSenCPgmvgXgtvpe6pvHBg1iRrduAHz3oIMIP/iAoxcuBGD/5csZ//rr/GzcOOZ26cIpJSX84uOPaZeUG27MyyPae2+e698fgFtGjOCk+fNTyc8wfCL1bCPiExFpkwoK8mnXzt+hbNcujzFjejFmzGbv/1u0665d2XXXrhx77MCtH5zYeedCJTg5KAzjdVEU/AWf4ECG0h9pWwoK8hk7tg9B0Jt580qZOHEZn3xSqylBX3yV0K/MbAL+c+YLzrnMZT0NFQT5+LlhF+EXKK1VYr0pL4/nkqYBH3fvDrZjVGC3tQTnC6lvgqBP9ca8POPoowfQp09HJkyYR1WVY/36Cm6/fRq7796dTz6pmZffoUMep5wyhJEju9c6f7/9evP005+lNh3KtiY4vjytOr5Hiourd5W1a8dv9t2X2UVFfH/aNACK163j9tde471evThsSU1jlmUFBfx83Dg+SStNW9e+Pc/0789pJSXp/w5KcERERLIgioIe+PX3UkrrO1baFjOjuLiI4uIi1q4tT5oSLGPNmuoKnTx8B9+vADPSmhJs2wL0QdALf+P/B8CQursXdurEw4MH89jAgRkbXLV2bS3B2Tf1zaBBXTbbuc8+venVqyP33TeL9esrcI5ayU337h04/fRd2WmnzRdmHTSoVk+A/RoRWz9gJ4DSdu2Y2bX2hDTMuGXECOZ06UL03nt0rKqia0VFreTmk27d+PnYsSzrtHl87/XsmZ7gNCY+EZE26x//+DgrNy4rKuppBBQEhUBjSqGb01jiOLdXaW861wL7JN9X4OdbtApBFI0F1sVh+Em2Y2nriorac9hh/TjkkJ2ZPn0V7767jDlzajUlGA78DbjKzO7BNyXY8gL0QTAO3+L5m8Bmmcsbffrw4JAhvNm3L1U7yGhNJrmX4ARBxneDut3iunTJ/KMPGtSFM87YlfHjp1NeXjPq16lTPmefPaLeNtLp1+vXvv2u9cXREKs6dKj3l+qFXXahCrh68uTqkjSA+YWFfP/AA1nfvn3G81bWzr6P2Wp8cQ51gdqO/xdSh34v6ndiM167CQQn1gQYT5jQtBfP0d+Lfu3bsyiZ11hZmf3/pY8MHfoIQZDtMLbko1rx5ejvRVO4tD3cdjAsL4ITPqDdfvN4nQnZ/38b9+pFwf7706usjBUHHUSvTc1QHtkGfi+OLCrihbVN19E9P9/Yffce7L57D+bMWcsDD8xiw4ZaDbE6ARcAF5zXuzc3DhpEwTZO+l/RoQO/GDuWD3v2bLK46zhpi39HTfx70bpaHjQjM6NjWtKwfn3mTmmLF6/ngQdm10puADZsqOQ//5m52cTQmuvVzNnvtJ0Zb9fycqye9t37L1vG7z78sFZyAzBw/Xr+MnEi3ep5Mapvu4iIiLSsTuXwrXfh1Bj2a57p4ttscadO/Gq//SjLz2dhYSFX7L13tkOShHOuOrG5887pdZMbv5BO9+68MHw4txYXb3NyA9Br0yZuevNN/jh5MmNWroQdfBmZ3BvB2YK9Cwt5e51fombevFJ2371WC2WmTvXNBFLJjRkUF3ehpMSXxi5dupGbb57KN74xlOLiWiVpzJtXUz67d2HhdsXZtbycIaWlzC5Kew7nOK2khJ9NmVKrmcCn3buzz8qVAIxdsYLxr73GT8eNo6SodnxjPt+20kwRkbZu1h57ZDuEWjrUc/NsY14eRx5zTAtH49356qsMK9X0kcbosd5/tRbX7rFH9VyLXhs38rMpU7IckWzcWMmHH65g4sRl6YvLV9u5XTu+26cP3+ndmwFpnXUbq71zHLNgAccsWMC0rl15aPBgnu7fnw2tvGNaJm1qoU8zuxa4FGDEiG5861u7Aj4zfv31xbzwwsLqYzt0yOPUU4cyYkQ33n9/BRMmzK0uUcjLM044YRD77tu7+vybbvqUxYs3pE7/qXPu79scYBA8AnwN4J6hQ/nb6NEA5FdV8YuPP+bUuXOrD13SsSM/HzuWqd26cd6MGVyYNB8AP4fnV/vtx9t9+wJQUFHB4y+8kD7UfAJx/OQ2xyciO6wgiqpf7OMwzJ0SkSZkZi8DhwGHOedeTds+E/ijc268mRnwfXw5yEhgAzALuM059+/keJdsrwLKgPeAS5xz76dd0wErgWHOuVXJtgHAfGCIc64k7dhBwBzgFefcEUBqDs468AnOIccf39T/HA1y38svs2tNKc5exPFHWQlEtlsQRa+RLFUBXB6HYZTNeHZkW1voc2uWLNnAxInL+PDDFbU6+KZ5Fd/M6lHn3PaV6ARBAXAqvovagXV3l7Zrx4SBA3mouJi5dW6eb002F/rc8VKy7XMH8AvApk9fzZw5axkwoDMTJszlww9XVh/Uo4dvJtC3r5+sv/fevejZs4D775/FunUVVFU5Hn98LsuWbeCoowbw8cefpyc3G4D7GhnfbSQJziklJTxUXMzqDh24ZtIkxi1fXn3QlO7d+dnYsazo6LtK3jZiBHOKirjivffoVFlJl4oK/vHOO/xt9GjuGzKEs2bNSk9uPgOeb2R8IiK5bgXwZzPb32W+A3gbcDTwQ+A5/IrjAXA5fqHmlKOdc6+bWVGy/VFgcJ1rOXwnrUu2EtMFwCrgi2Y2wjk3PX1nx6oqzDlcMsLTubycA5Yt4+ClSxm3bBkdK2vKWdZ06MDbffrwet++xL17syk/H/A30sasXMkhS5dy8NKl9NpYc7e4Ii+Pyb168UbfvrzRt29NRyXnGKzRm1ySvj7e14Io+mschk03kUS2qKKiiqlTfSOB9KqgNKXAXfhGAk3XzCOOy4B7gHsIgn3wDQjOwM/roUtFBafPmcPpc+bwbu/ePDh4MK/utFOrW9izrjY1ggNgZvcB3wDfOKBbtw7pyQnFxV047bRh1YuzpVu1qoz//GcWS5bUHD9oUGcWLlyf3unmr865nzcqON8qeiJJl7P5hYUYMGB9zRj20/3784cxYyhL3pTSjVi9mr+++y47p70xvdmnDwcsW5Y+2epC4vjGRsUnIjssjeBsXTKC8xZwNn7E5d5k+0zgj8BM4DXgcOfcK1u4jgMOdc69njw+HngC6OOcW552zE+Aa4BRzrk5mUZwzCwfmAv8PYnrGefcJekjOOBHcSqTBKegqmqzeZqZlJuxKfmQ0t45OlRtfTmNKmBD8v6TB3SqrDUXQCM4O7Agig4CXgZS3Yo+AE6Iw/Czek+SjLZlBGf16k1MmrScyZOXUVqacQ32T4AbgLucc2uaI97NBEF3/OvNhcCIuruXdOzII8XFPDpoUPXN9kyyOYLTutOv5nEJsBR844D05GbffXtz5pnDMyY3AN27F3DeeSOrFwgFmDdvXXpyMwP4Q6Mji2OHbxW5EXzjgPTk5oaRI/ntPvtkTG4ApnfrxtmHHspHaWvgHFQ7uXkVuKXR8YmI5L51wO/xbVfrts08DliwpeSmLjNLfVBYih+FSTcJeBi4eguXOBG/hMBd+NGjszPERceqKjpXVtK5srJByQ34pCZ1TkOSG/AfGlLn1EluZAcXh+GbwMVpm8YA7wRRtFuWQspZzjlmz17D/ffP4u9//4hXX11UN7mpAB4EDgf2cM5d32LJDUAcryKO/wHsDhyFH4GufpHYaeNGfjBtGk8+/zxXTZrEPitWtLqmBG0uwXHOfUYygpOuuLgLRxyxS/VK1fUpKMjnmGMGZFoLpwr4aqqWutHieDLw01oxA8/ssgv3Dh261RVkV3TsyNV77smSzTPq9cBpxHF5htNERKTG7cBa4Md1tvcBFjTwGv8zszXA58AB+PeHTLdnfwOcZGbj6rnOd4EnnXNL8ElOV+Bk/I2wbwJ3k3k9nMn4G24HAL2Trz74u8p/A6ZnOOcz4CZqkqrUeWOAXwOvk/YhJ1EKPAKcj5+LJDuwOAxvwi/+mPpd3QV4NIiibZtEIhlt3FjJ228v5frrP+HOO2fw6aer6uYFC/HlrsXOudOcc6/UUyrbMuK4ijh+njj+Gr7E9kqSQQKAds5x9MKF3Pzmm9z3yiucUlJCYUXGUagW1+ZK1FLM7GLg/6Vvy883hg/vxsiR3ejbtxM9exbQrl0e5eVVrFixkcWLNzB16ipmz15T9xfSAac65x5psgCD4Hr80GC10nbteHWnnXijb19mde3KwsJCKszoXFHBkLVr2W31ao5YtIi9N++YVg7sTxxvefEnEclZKlHbuqRE7Xnn3B/N7FjgP8Aw4B18idoI4Czn3ICtXKe6RM3MhuPL0/7snLu5nmOuBQ4CTietRM3MioHZwNecc48n5z2IL3U7vPoJgyAfSG/fWUkcb70/VxB0AdJ/F0qTSoItndORmhImgI26cZZ7gig6EphAMg8DuD0Ow/OyGNIOpW6JWufO7ZKmASs3W4Yk8RK+DO0x51zr/nsKgg7AKfjPqIfU3V3arh1PDRjAg4MHM2jdOjUZaGnOuevMrAJ/pyIAv5Db1KmrmDp1mwZhXgf+0aTJDUAcX0QQrMR3ttgN/ESv4xYs4LgFDb2BiANeAH6j5EZEpOGcc/8zs3fx5WopTwG/NrNDnXOvNfA6M8zs+8AEM3vSObcww2FX4ef3fK3O9u/gKy1uMbPUp6JCoMjMRjrnfPvMOK7Ejzhtmzje9g4BcbyRpIxaclcchi8EUXQDkJpTXJzNeHZkEybMZdWqjI3O1uKbX90IfBU42zn3UEvG1hg2adLXgUudc2MIgjHAD4BvA53Bf1Y9raSE00pKWNBps2qnFtPmStTSOeduBMbhf7Emb+PprwNHOucObbZfyDj+HbAH/k1uxjacWYm/Y7gvcXwUcTxxayeIiMhmfoEvEesDkDQNGA/ca2ZfMbMu5u1nZk/UdxHn3Ev4UaDf17N/NXBF+n4zaweci29CsBewd/I1ApiaxCXSLIIoak+GlsGthZm9bGZlZlZqZqvN7H0z+3q248okQ3LzMT4p6O+cu9g594lz7irn3IktH93mzGyomT1oZouTf9/5ZvZfM+sA4Jy7xzk3BoA4/sAmTepYOHnyw8CP8K9N1fpv2LDZ9VtKm05wAJz3mHNuP/yaBpfh64mn4iebbsLXGH8M3I9vUlCcJDYvNnuAcVxJHN+SxLYfvv7xCfyaCOuT+NbgE7S78Osz9COOTySO3898URER2Rrn3Af4tv/p8w/OwzcFCPG16EuBfwKPbeVyIXC+me1az/5/4efrpJwI9AT+5pxbnP6Fn0OTsdmAyPYKoqg7frTyoGSTA/6avYjq9QfnXBegFzU3Hur7+2oN3gK+AOzlnPuXc661tuB+CliE/9xZhE90n6F2OWstG5wrJ46vA0bhS/Mext9sz5o2OwdHRERERGoEUTQA/2F2VNrmMA7DK7IUUkbp8+WSx53xN6O/7px7yMwK8aOipwDdgHeBHzrnZibHt8eP0J6Nb6SwFF929XAyevob4Bzg/7N33+FxFVcDh39Hcsed3oxtiimm+tJCDxhI6AECAWIILYFAICSBfBgYT6iB0EmhRgmvbwAAIABJREFUmxogQAgQamgxoV5jiuk2GAwY27gXuUnz/XFmrav1SpbVVlqd93n0aHdu2dnVaveeKWd6owv1npFbe0ZERgLl6PzmH6GN4b8FPgRuRqcVLAb6UJ244+dx295oT+xHwCkhhDfjOUcAO4cQ9or3J6DrZ+0JbA9MAE4OIbwSt++JDm3dCE0I8RzwqxDClLj9SLRRZR20MfzJEMJxcdvKwOWxLl3Q+T+nhxAmx23fAZuFED6o5bU/DjgvhLCBiJyNNryDLmoM0CuEULlNt24nTF2y5MLZlZVrrNWpk5y0yipvnTVx4pBC52wO7b4HxxhjjDGmvUu874KOYMkGNxfQmOUvWkAcOnVKvJvLDngLGmjsAKyBDhF9PAY2oElDjgEOR3tod6N6KsDvgGFoWvg10bWvnhWRbE/uYWgvRV/09bkZDagOQTMQzkIXAh4Qg7BKdITNGfGYB4En8s6Z73h02FeveK47MtsWoosNrwpsjgZp18bXoxs6oueXIYQewEDg1rhN0JTPAZ0CsR46F+hegBDCNOB9dN7fMBHZNB5TUAjhcnSR0DtCCN3jT6WIDB1TUXH5V4sXH/HIBht0PXmVVc4d/vXXm4rIrnU83yZlAY4xxhhjjLkc2DbeXgIckzp3Yepcax3qM1xEZgIVaMByYgjhXRFZBc1IeGoIYXIIYRHg0WBl+3jB/kvgdyGEd+NUha9CCO/G8/4M+GMI4aMQwkI0cKkE9ss89vMhhH+HEKqAO9EJ9nfF88wHrkCzHWZzJt8aQhgd6/PHWO/963h+N4YQ3g8hVKIB2wYi0gt0PmAI4c0QwpI4bPVyYta2aDGwsYj0DSHMyyRFGRJ/fhlCmBXrejbw/bjQMOjaOy+iCxG/DUwWkfPrCnQKOANNwDVqj48/XvjriRMvXRDCLWjg2CIswDHGGGOMMVtnbt+QOndP0WpSPxeHEHqjazU9AXw/lg+Iv98VkZkxCJqOpjdfF+31WInCa0ER9/ksdycGMRNiec6kzPb5+WXosLAeeeedkDkmAF+iQ8hqkz3fvPi7B0BMbPJ0TAQwG01pn0uGMh/tfdoXGC8io0XkqHj8AKAzGrTkXpvxaGbEfvH470II54YQtkGH6J2N9uT9rI665hsAnJN7jPg4x6E9TS3CAhxjjDHGGJO1TuJ9m1gvK4QwAzgR+KGIHAR8ETdtGELonfnpFkL4OzAVDRg2rOWUE6kOkhCRMnSRy4mNrGr/zDkFDSi+auC57kOTS20UQuiJ9lgtFUJ4MYRwIBr8XQTcLSLro6/NPKBv3mvTNTe/J+8880MII4F30blDhRRa2OcLYETeY/QIIfywgc93hVmAY4wxxhhj7svcPgz4c+J9m1gvMYQwHc30dgk6Sf5e4C8isjaAiPQWkUNEpHvsPfkrcLmIDI6p3tcWkc3j6UYCZ4vIRnF+z3B03ch/N7Kax4vINpkEB90acc6e6DyfOSLSD/h9boOIrC4ih4pIrzi8Lbe4YyWQosPOro0JBRCRVWNSAkSkj4hcGl+XjiLSQUQORefr1Lb217fAwBgI5lwDnCkiu4hIuYh0ir1OSQOf7wqzAMe0Wnl57rM/my//6AY93kgRuWUFj1lVRG4Vka9j3SaJyJMismZz1NGYhkq8D7mfYtfFGNMq/QWdT5JzCvBY4n33ItVnRV2LzrMZhq4f+DHwoojMAd5DEwrkPv+GAw+gE+7nAC9R3aNzBTrk6xlgMjr0be8QwuxG1u8m4Do0HfwRwH5xDayGOBnttZqDJob4R2ZbGTrHaEJ87n9GFxGdEIfbHRz3GR23v47OuwFdemS1eM7paG/XeWiWtexjZN2CDvmbFoejlYcQnol1vAINOCeh6e1b7L1kaaJNq5WfBrIFHm8ksCSEcOIKHPM02opyWghhioisho57fSZO/DOmVcgGNqlzbWLoiTGmZcVMardRc8jTw8BhrTjZgDHLsB4c0ybF3p2r4uq6c0RkvIjsKSJ7ichYEZkdt/XIHBNE5EzRFY/niMgLEhcFi7ncj0YXz8v1FK0sIhUisnXeY/9XRM6Pd78HjMzlng8hTAkh3JkLbkTkOBEZJyLnxN6dKSJypVSnqkREbhddKXiOiHyQmQyY276FiDwlIlNFZLqIPJvZ1k9EHoznniQiN2WfszHGGFNfqXML0O/CbMPij9AhVca0GRbgmLbsp2iqxd7A/Wje95PRlYL7o6vwnp53zMno2OLV0Fzvj8bu1EK53Keh3b5Le3REZCN0Vd/bYtF/gStE5GQR2VpEygvUcz10MuHAeOwB6KJgOS+jk/d6o+koR4rIpvHx1kS7zl+Kz2mN+JwRkS7A88AH8dybohlZrl3+S2eMMcYsK3UupM6djw7TytmnWPUxpiFKLsARkYEi8g/R1HlzY8v4P+NEMdP2DJdMmkHRVIM5D4QQXouT6O5Gx95eEUKYHiccPk51Tv+cK0MI40IIFWjqw/XRVYJrcxNwVAwmAE4AngohfB3vHxEf+2fAK+gY1Gsy+4NmGPldCKEihDAezVe/NN1iCOHWEMK0EEJlCOE+NFvJ7nHzT4FxIYRLYy77RSGE/8Rt+6PDTC+I554BnA8cXUugZYwxxtTX4mJXwJiGahPZMVbQE+jEsEHAbGBt4oVgMSuVL16Ahjjhy9Tu4jrm4OTnnC9UVlce+vkiMpU68tCHEF4Wka+Bw0TkPuBYtBcot30ucClwaQyi90V7kmajeeMBpmTy5OfqsA4sTT85Ag2U1kAnQK5EzGeP9trUlqt/ANAvL+gjnmMN4OtlDzHGGGNqF9ND/56aizK+WJzaGNMwJdWDE1PeDQL+Fldoza1O+7cQwkIRGSEiz4nI1SIyTUS+EpFsar1uIvJw7P2ZLSJvicjQvMfYTURGxbkQ34nI7Zltg0UXXvpORL4UTbXXMW7rH+eAnCAiH6AX36u1zCtjMvrnbohINzSQyOWhry3YvAntudkfTbNYMK1j7F15FPgPNfPFrxYfK1uH3GP+BB0CdyjQJy5a9g7VAfkEas/V/wXwSV6e+d4hhC6ZHiaTJ2a5Ozvezv1f1rXYmjGmhLSlz4CWrl/ifUc0K9YlmeJ/Axe3xOMb01RKKsCJcybeB24RkWEisqmI5Pfc7Iqm/VsTOAg4S0Ry2ULK0GwhGwIro+NPHxKRVUEnewNPA7fG49clplQUzZ71Ujx+LXSuxVDg//Ie/yg05WAPNP2eaVm/FpH14xCyy9DVil+P2wrlcgf9G28HOOD2OCQOANFEB9uKSBcRKROR3YE9qJkvvgy4TES6ishAdP7NHXFbT2AJ+l4oE5HjgS0zx94NDIpJCrqJ5qXfM257HOgoIueKSA9Ra4vIIY14fdo8qZlefJZoUonDc9tDCD+Ic66MMSXIPgMa5Qbg+Mz9F4GjU+dstIlpU0oqwIl2R/8hz0QXM5osIudnAp1JwB9ja/totHX+Z6DDjUIId4cQ5oQQFocQrkBzgufmcfwCeCyEMDKEsDDOe3ghbhsGvBNCuDGe+2t06FK2ixfAhxC+jftUYpbnfFl2HZz9G3G+W9AgdCoaSByU+Tssk8sdIIQwE3gw7n9r3vnKgNuBKWhu+78AfwKuzOzzBTpc7HM0mHoKnYcDGui8DoyL+2xKJjgKIXyDvqeHor0+k4Fz4rb5wJ7xmI/QdNXPUftqw+3JhSGE7mhDxUjgXokZ89qbxPv1E+/3yCvbJvHe5mmZUmafASso8f5EMkOw0ddtn9S5hq7VYkzRlNwcnBDCd8C5wLlxWNCPgZupno/wRai5+M8ENAUiItIVvfDcD1gFHbLUg5rzIcbU8tADgJ3y5kMIkH8RMWFFn1N7FULYvY7Nj+ftO4G8eVYhhBEFjktDCNfU8nifUXvCgc/RNXk+zzvmzDrqmN3vj8TsZ3nl89HFx+o6dgywVy3bJgLH1KcO7VEIYYmI3IwuMLYVME4Kr6+0bxyykuuJPSmX+jsOfb0aDTIF7cX9dQhhuugKz3dkziPo6tRbo72334YQzli6UXvo/g/YCJ3PdR66CNtvgF7AjWjDyE3x8b4BTgwhvJw5x0nAGWgP8mfAOXFRtaUS7/uj87qOpHDAOxqYlHj/ALp6+eu2xoUpRc39GRC3T0D/Z/dEv0MmACeHEF6J20eSt8ZaPOa8EMLd8f5uaGrmzdBrj8dCCEuT0WSJyMFoQpn10Ubbi0II98Rt66CNdUOATmjSmjNDCKMT78tHjxixBXA9sDk65PojdMHJGVWVlcdO/t//mPb22yyeM2dJ1eLFGwGb49zo5b3OifflqXPWaGtajVLswVkqhDA/hDAS/QfPfcmvlzdsrT/V8yHOAnZDP6R6xfkQM6j/fIj/5M2F6BVbkLKsm7eNEZHV0VWRLf1yGxMTP5wS79aWrAG0p3VXNJ13FTo0MOceoA/aU7YJ2vhxF0AI4aFMWvHucd/X0IuGG4FjRKRz5lwnArdmGlnWQ9ODDwR2RtOaP4mu/twH7W3MzvM7Ge3BOzpuHw48nGuZTrwfnHg/Cg3IL6Pu3rw10UDpVeCzxPuf1LGvMW1Sc38GZBwP/AptqHiWmg0fy6tjrcPfC+w7NO53JtAXbSi5QUR2jbuUoSMJ1kOTzbwFPNz/oIO6A6907NnzYTQRU19gdfS6ZxHAxCefXG/mxx+z4THHsOXvf38duhzC0yLSp7a6J96XJd6fDfw38d6y1ZpWo6QCHBHpEyf2D45zFTrEFtbBVA/7WRP4Xdy+NXrhmp0PsRCYBnQSkQvQi4+cG4EDReSnItIpzqnYPW67E0hE5PjMfIyBIrJv8z5r05xE5Cq0lfyxEELB5AKmVRoee1Mr0FbRE0MI79axf27o6Gx0QbuhIrKWiKyFrv9wVghhRkzFfRbwQ9E1ipYSXfx1d+CAEMIC4AX0s+SQuH0TIEGHfeRUxMdeFEJ4B00w8Waomf58AxHpFff/FfCHEMI7IYSqEMIT8XGOTLw/GXgTDZSW6lRezlb9+tV4sn26dSNPf+DexPvbE++71vE6GdNWtPRnwI0hhPfj/+0t1Py/XZ66hr/nOwO4NoQwKn4GvIF+TgwDCCF8GUJ4NDbwVqC9xP069+lzM7Bd5z59+vcaNOj43htvvFkciv9aCGGeiMi0MWPWWGfoUDr37UtZeflpQ0aMmIH2EO1XqCKJ96ugoyn+iC56vcwoBWOKpdSGqC1Cu5cfRgOZJWivy+khhH+IyGZooLMmOqF8Adoqf288/ipgG3RYyEzgGmqmFX5HRH6Iflhej+aIfxR4MYTwrYjsgbaaXgJ0jcfe2GzP1qyQEMIKpwoPIZyFfpk19DFHUvOC1rSMi0MIF8WWx1vRxB7586eyJhS4vQ7VvbfZoYnj4+91iWnJRWQYcBrwvThMlhBCiENjTkSHgZ0IPB5C+DZzrimhZqr4+RROf94DnWM1APiziFyX2adDjwED1kCDJwDKRdh+/fXZe/Bgdh80iO5dsssywZKqKkZPmMAzY8fy/IcfMmfBgtym44D1E+/3SZ2rwJi2q0U/A6j5fzsv/s793y5Pf2of/p5vALCHiGS/l8qJjbgisgp6LbM72kBbBVC1ePFWAP0PPphJL7203qxx494q69BhSqisvBXwQJ9QWdlx3L33VsVEO52Ah6SsbFGoqlomg1vi/c7o59rameLtE+87p84trOdzMabZlFSAE0KYh6bzrUtVCOHXwK8LHD8ZHWOb9ae8fZ5HWyoKPf4HwIG1bJtAK1uLx5hSF0KYISInAuNF5KAQwr9q2bU/1Rct/ePvr/K2j4u3B8bfE2HpkJHrgL2DLuSaNRL4g4gMQhdtPbZBT6TaF4ALIfwjV5B4fySZFcc3WG01LjnsMAauumqh4wHoUFbG9gMHsv3AgZy1zz5c9sQTPPnu0sbtXYC/Jd4fZ/NyTFvXEp8B9TAXTXYAgIh0oOYyEROoffh7vi+AkTEJUiGXoo2424cQJolID2D25w8/fPpWv//9fp379Dmz/8EHA5TPnzx51Y9vueWMqsWLP0eHws7ruf76R61/xBFXArmEDJ3QuTqADklDF8m+iJpzjK8AhqfO2eKgplUoqSFqxhiTL04Evgq4RJZNAZ5zvoisLiI90WEWz4UQvolZ7J4BrhSR3rE1+ErgyXjxsAVwPzAsDhXJf+ypwL/QAKQCHWffGFcDI0RkKxGRDX/60/5zJky4fcFUzTi/w/rrM/LEE+sMbvKt1LkzFx5yCKftuWe2eBjLSX5hTFvRnJ8B9axCCuwpIgPinLyLgY6Z7XUNf893DXCmiOwiIuVx/yEikuvB7Yn2/M4Qke7xuVC5YMGS1Llff/bgg9ctmj17FkCHLl06lHft2mPtoUNPGzJiRB/g2pkffvib8ffddzTwcuXChcwaN45Fs2dflni/V+L9quiaOJdSHdxMB/ZPnTvbghvTmliAY4xpD65FWzXz07bn3I0O8ZiItlhmM9MdA8xBEwd8hA5fzZ3nR+ik4nvzUplvnjn+RjSr2m15w9FWWAjhZjTT4+3AjM8eeOCDb0eN6hKqqujXty+XHXYYXTp2XM5ZCjt2p504cKsaOQmcpZI2JaS5PgPq4x50OPtbaC/Rl1RndiXOv/shmgxhStz+00InihkTT0Z7TL5Dh8ZdDeQSGjm0d2gammDpFTI9MDPGju393tVXL3rroouqPrrlFvpuvjmr77jj1sCYLc8550ngXzM/+mjk6BEjtnzv2msXf5emEEIZOvx+DJCdV/wKsFXqnM1PNa2O1MyYbIwxpimJyADgU2BATOvdJBLvO6Ctpz0ArjzySHYbNKhR55xVUcGB11zDvEWLckXfT52rbbKzMaaNihnPLqPmcP0laBr7q1LnqhLvL0cTLgAEag6zvxw4z3ptTGtlPTjGGNNM4lj7c4B/NmVwE21FDG5W79mTXTfaqNEn7NW1K3sPHpwt2rW2fY0xbVfq3KLUubOAg9EeKdB52VcA/0q83xc4NXNILriZBuyXOneOBTemNbMAxxhjmkEcEz8L2An4bTM8xJa5G1usuy41l/dqxElrppTesrb9jDFtX+rcv9AhtK9nivdH5w6ulLf7/4CtU+eeaKHqGdNgFuAYY0wzCCGkIYSVQgibhxC+aIaHWJr7uWdeGujG6NW1xjI4TXdiY0yrlDo3Ae2tvTJTnL9o52XAHqlzTd0TbUyzsADHGGPaptywEibNqs9SG/UzaebM7N2Zte1njCkdqXOL0Hk1hdbjeRO40oakmbbEAhxjjGmblg4peWfiRBYsbpprjzc+z65nyGtNclJjTKuWeL8b8DY6XC3ftsCYxPudWrZWxjScBTjGGNM2jUcX/WPewoU8lKaNPuHnU6fy0kcfZYuea/RJjTGtVuJ9eeL9ecDzaBrtnD9Sc8jaOsBLiffnxMU+jWnV7E1qjDFtUOpcQDMeAfC3F15g3JQpDT7fgsWLueCf/ySzcMATqXPvN6aOxpjWK/F+deAp4EKqrwe/A36QOvf71LnfAgeg6ehBF/e8DHg88X6Vlq6vMSvCAhxjjGm7bgXGAVQsXsyZ997L+AYEOfMWLuT/HnyQDyctXZh9CXB+k9XSGNOqJN7vgQ5J2ytTPApduPOpXEHq3OPosLVXM/v9AHg78X7nlqirMQ1hC30aY0wblng/GJ0rsxJA5w4dOHPvvTlgq63o0rFjncdWhcDoCRO4+LHH+GrGjOymX6bO/aXZKm2MKYrE+3JgOOCobuQOwCXAiNS5JbUc1xG4CDg7U1wJnAdcnjpX1WyVNqYBLMAxxpg2LvF+H+BhoFuurFunTuw2aBB7Dx7MdgMH0rlDBwAqq6r4dPJknh47lmfff59vl83AdikwPA6BM8aUiDgk7R5gz0zxVOCY1Lln6nmO/YA7gb6Z4qeAYalzU5uqrsY0lgU4xhhTAhLvNwfuAzYttL1TeTnlZWVU1J5tbQ7wi9S5e5upisaYIkm8/z4a3KyRKX4JOCp17psVPNe66GfN9zLF3wBHps6NamxdjWkKFuAYY0yJSLzvBvwGOAbYqJ6HzQAeBP6YOje+uepmjCmOxPuuwGdUBzcBuBjwtQ1Jq8c5O6LJCc7JFH8FbJA6t7AR1TWmSViAY4wxxhhjjCkZlkXNGGOMMcYYUzIswDHGGGOMMcaUDAtwjDHGGGOMMSXDAhxjjDHGGGNMybAAxxhjjDHGGFMyLMAxxhhjjDHGlAwLcIwxxhhjjDElwwIcY4wxxhhjTMmwAMcYY4wxxhhTMizAMcYYY4wxxpQMC3CMMcYYY4wxJcMCHGOMMcYYY0zJsADHGGOMMcYYUzIswDHGGGOMMcaUDAtwjDHGGGOMMSXDAhxjjDHGGGNMybAAxxhjjDHGGFMyLMAxxhhjjDHGlIwOxa6AMcXmfTIMuAnonCm+FfiVc+n8BpyvP3A/sF2meCJwkHPpmEZU1bQg75MzgCuB8kzxlcD/OZcubsD5NgEeAAZnij8GDnQu/aQxdTUtx/tkBHABILGoChgBXOJcWtmA8yXo58XATPEY9H3xVaMqa1qE94kA1wGnZYoXA78BbnAuDQ045+7AvcCameJRwCHOpdMaXltTTN4n5cBwwNGwToZrgXOcSxc2acVKkISwwv93xpQc75Mt0YvPjTLFY4HDnUs/WoHzHASMBHpnih8DjnMund4EVTUtyPvke8B9wLqZ4teAI51Lv1iB8wwD/gp0yxTfDZziXDq3KepqWo73yd7o32/VTPF/gGOcSyfX8xyCXhBfCXTMbPoz8Fvn0gVNVF3TQrxPDkMbx3pmih8GTnAunVnPc5QD56JBc+4COACXACOcS5c0WYVNi/I+WRl4ENg9W15WVs766+9Iv35b0aVLDwAWLpzH11+P5ZNPXqayclH+qawBpB4swDEm8j7pAfwNOCpTPA+9CL1rOcd2Av4InJkpXgKcA1zdkBY80zrEL6U7gP0yxTPQoPXR5Ry7EnADcFymeAHwS+B2e1+0Xd4na6Et7Ltlir8FjnIufWE5x/ZGL4R/lCmejV4IP9jUdTUtx/tkfbSxbJtM8efAEc6lby7n2NXRwHmvTPFUNHB+pqnralqO90l34H/AFrmytdbalG22OYRNNtmDbt16Fzxu4cK5fPzxfxkz5l9MmDA6u+kLYFvn0qnNWe+2zAIcYzJiq+oJwPVAl8ym24DTCw1Z8z4ZgA4x2TZT/CX6hfZaM1bXtBDvkzLgLOBSag7tvQodsrZME5v3yabAP4BNM8UfAT92Ln2vGatrWoj3SQd0qMlwag5Z88DFhYaseZ9si35eDMgUv4W+L8Y3b41NS/A+6QxcAZyeKV4M/A64rlDDhvfJHmjAvEam+CU0YP6mGatrmlm8rrgfODxXtttuJ7PrridQVlZe+4EZIQTefPMBnn76aqqqlnbivQjs3ZAh0+2BBTjGFOB9sgXaCjcoU/w+ehHyQWa/Q4DbgV6Z/R4FfmZD0kqP98mO6BdVdsjaG2gwOyGz33HoUKPskLS7gFNtSFrp8T4ZCtxDzSFrzwNHO5d+G/cR4FfohW92SNr1wO9sTH3p8T45FG0cyw5ZewQ43rl0Rtyn0JyMAFwMeBuS1vZ5n+wHPJ67v//+wxky5JAGnevjj//Lfff9Bn2LAHCSc+ktja5kCbIAx5haxC7lvwLHZIrnA6eg8zIuB87IbFsCnA1cY0OPSpf3SV90ntUBmeKZ6DC0/6CBzbGZbRXokLSR9r4oXXHI2j3UHF8/GR3yOga90D04s202eqH7UEvV0bQ875OBaKNIkimeAByB9vTfA3w/s20qGhg/21J1NM0nNmy8ThzhsfXWB3Hggec36pzPP/9XRo26NXd3ArCR9eIsywIcY+oQP5x+hl60ZoesfQeskrn/BdqK/3oLVs8USXxf/Bqdd5UdsjYd6Ju5/yGaqOL9FqyeKZLYGn8BcD7VQ9YCMIuaiUdS9PPis5atoSmGOGTtcrQHL2cJ2vjRI1P2Ihrc2JC0EhGHsH8GUF7eiTPO+Bc9eqy6nKPqtmjRfK655gAqKmblinZyLn2lcTUtPbYOjjF1cC4NzqW3oSmfs9nUssHN88A2Fty0H/F9cRWwC9oKm5MNbu5AJ4FacNNOOJdWOpc6YG9gSiwWagY31wE7W3DTfjiXLnQuPQM4FA12QRtGcsFNAK4B9rLgpuTskrvRv/+QRgc3AJ06dWPQoF2zRbvWtm97ZgGOMfXzCTrhs5DvA597n9wUW2tM+zEWeLVAeQXwL+fSeS1cH9M6jEYTB+SbBTxm823arVfQjGr5BM3AOcH75Dzvk14F9jFt0/q5G2uuuXGTnXTNNTfJ3rXrjgIswDFmOeIY6v8BP69jt57AScCn3ifHt0jFTFF5nwwG3kTH0ufrCjzsfXJNTCFu2gnvk+3ROTf7FtjcC3jG+8TH4WymnfA+2Qt4B9iqjt3WAS4ExsVse6btyw1VpaysQ137rZC87Gt2LV+AvSjG1CEu3DYGGJIp/ic6zGRGgUPKgVu9T37RAtUzReB9It4nJ6DZ05bXJHcG8L8YJJsSFt8XZwEvA+vlbf4QTTgAesFzAfAf75M1MSXN+6Tc+8QDzwCrxeKAppx/FCjUm7cK8EIMlk3b9nXuxpQp45rspJMn1ziXDWsswAIcYwrwPunsfXI9uo5JLsXnYvSC9dA4nnpddJ5FIZfERR5NCYmZ9e4EbkF7aUAz6x2Xt+u/MrcT4C3vkx9hSlLMrPcIcCU1k06AZjnaFm25fz5TvjvwdkwxbUpQDGD/gwa0uZb8ycBQ59JznUsPQhtJ3ihw+ErARS1SUdOcXs7d+PzzN1iwoPGrBFRWLuHTT0dli0bVtm97ZgGOMXniStSvAKdlij9HM5UsXaTNuXSec+lxaJa1irzT9EGHrJkS4X2yOZr9Kps2/H00kUB+oHsIOqY+l7qzF/CQ98l1MaOSKRHeJzugvbwHZoonZW5PBubH9XD2Rtc7yaUvXQ142vvkwrhoqCkRMXBtb31VAAAgAElEQVR9m5ppw58HtnIufS5XENfP2gW4usBp9oqfO6bt+hAYB7Bw4TxeffXuRp/wrbceYdasb3N3p6HXKyaPpYk2JsP75HC0dT67MNtDwInOpTPrOG4zdGHQ7Kr1M4BdnUvHNkddTcuIKaFPQBdkzKYKvw043bl0ftxv6Yepc6nEsm3R90X/zHGj0QVjLYtWGxbfF2cBl1Gz1+Zq4F10AeCcS4Dzco0jtmp96YqBqkMX78ymCh8BXOxcWlnHsQeha2xls+69ha5WP6056muan/fJsejfFZEyjj76OtZff4cGnWvSpI+47bYTWLJk6cjG/3MuvaxJKlpirAfHGMD7pIv3yZ/Ri9FccLMI7cU5vK7gBiCmAt6OmkMN+gBveJ+cEC+GTBvjfdIDuBu4mergZj4wzLn0hFxwUxvn0jeBrYGHM8VDgDFxfpdpg7xPVkbnT/yJ6uBmBnCQc+lZ6NDVbIBzLnCv90kXAOfSF9Aha//J7LMbOmRt72auvmkmcbHX/wDnUR3cfAvs6Vz6h7qCGwDn0n+h74vs/M5t0M+LHZuhyqZl3EPsZQmhivvu+w1jxz6zwicZP/417rzz1Gxw8xFwQ5PVssRYD45p97xPNkADm60zxZ+hreyjV+A85WjK4ELZb+4GTnEubfwAXNMivE+2QOdgbZQpHou+Lz4ssP8yPTiZbYIGy1cCHTObbgB+a2mD2454oXk/Ogcv53V04c4vMvt1QQPbH2T2ewSdw1cV9ylHg58RVDc4BrTHZ4Rz6ZJmehqmicXA9G4gu9DJf4BjnEsnFz6q4HlWQ4dEd8vbtAR9r1yZe/+YtiPOxxoNLE0ssvnm+zJkyKH067clIoX7G0IITJr0IW+99S9Gj34ou2k2sJ1z6cfNWe+2zMb8GqMTxLPBzT+Ak5xLZ+Xv6H3SEb1g2RBdpG0e8BqaKeVyqoObRWiQlMuydQzaRf0cpq34JTWDm1uAM5bXa1NIHJp0vffJq2gwnVu34BdoS3+hNVNM6/RbagY3VwLnOpcuyu7kXLrA++RANOPiKbH4YPQi9aK4TyVwoffJKODv6JA1AX6Nfl40Xdol02xiA8ZwqoObKjRovaRQr01c5+Yg9O/dA/3+eBXNwnkH1cHNBHT+Xh/0eu0cNMlJvQMm0zo4l07yPtkdeIK4Ns577z3Fe+89Rc+eq7PZZkNZb72t6dy5OyLCwoXz+Oqr9xg79hlmzPgq/3TfAgdYcFM368Ex7V4MWl5Es139Gvhrbqx83n6d0QU/+9XjtFcB56PzNo4HLnUuPbep6myan/dJN3TIYX/gF86ldc4OrasHJ2+/3miwdCjwG+fSq5qkwqZFxIxpY9AL02OdSx9bzv6CBjm5pCXznUuXybDofbI6cBcwNJ73ziatuGlW3ifroEkFFgM/cS59sZb9tkKHK3UttD3PoWhik/uBHYD9nEufaJIKm6LwPukJ/A34SQNP8RT6+TCl6WpVmmwOjmn3nEsXox82OzqX/qVQcBNtR/2CG4DfOZfOdy49AdgfTRNq2pDYU3MYkCwvuFnB884EDkdbcAtlTjKtmHPpdLQnZqvlBTdx/4C2uucUDH7jMKZ9gQMtuGl7nEu/Ag5A3xcv1rHrftQvuLnNufRh59IvgV2x4KYkOJfOBo5Gs+vdiGZBW5456GfID9H3gQU39WA9OMbUU1zX5lugez12P9u59IpmrpJpRerbg2PaF++TfsCzVA93/NS5dKM6DjElzPtkZ+q3bskiYJ/lBEumjYsjSPYEfgSshQbAOSPRZCZPOpcuaPnatW0W4BizAmL2pKNYdg7OAjRlbC7TzRxg3ULzeExpsgDH5PM+GQI8RvXE4gq0p/id4tXKFJv3yYbAkdScg/MaOofHoxe6AC87l+5SlEqaorDvkaZjSQaMWQFxLYLrC23zPvk3Oll8Y/RL6zjg2harnDGm1YjBzX+pnjC+GE0vbsFNO+dc+ilwYaFt3icvAh+g2RZ39j4ZsiLZPI0xyubgGNNEnEsriIt5RYOKVBVjTBF5n6wK/JPq4GYGuljjg8WrlWkLnEvHoUMac2w4ozENYD04xjStbEpQa0Awpn06k+pU0nOBnZ1LPyhifUzbkv0esWFKxjSAXYAZ00S8TzoBP80U2RoWxrRP2cVcX7XgxtSX98m6wN6ZovHFqosxbZn14BizArxPuqOpgzdEs6nlkgxMAxywRdx1PrqAozGm/ckmF9nD+2Soc+mzte5t2hXvk7WAH6NJBrpTnWSgG7pmUue465voWlzGmBVkAY4x9eR90hVdWXrleux+RUxIYIxpf65CF2ncGv2efcL75GTnUmv0aOe8T7ZHF/pc3giaSuCCOtZlM8bUwYaoGVN/CfULbkBTfRpj2qGYcORHwDexqANwm/fJWcWrlWkl9qJ+1163O5c+1dyVMaZUWYBjTP2lwNR67msBjjHtmHPpBGB7IJsW+k/eJ/sUp0amlXgGWFKP/Y73Pvlhc1fGmFJlAY4x9RRbZfsDx6ABzFXoWgb7oRcyT2d2/21cFNQY0045l34F7AL8LxYJcEfxamSKzbn0TWAd4DTgInSttLPR98k+VCenKQP+4H1iWdSMaQCbg2PMCnAunQ/cU2ib98kB6KTQLYGuwPHAFS1XO2NMa+NcOsf75BTg3VjUs5j1McXnXDoZ+HOhbd4nu6NBThdgCNp49lqLVc6YEmE9OMY0EefSxcDdmaL1i1UXY0zr4H3SkZqr1i8qVl1M6+dc+jU1F/ocWKy6GNOWtYsAR0TWEZFVil2PViVJBpEkXYtdjRKU7RWtKlotjDFF533SC3gcOChTfHqRqmPaDvseMaaR2kWAA3wP+EpE7hCR7USkfY5pTZIOJMkhJMmzwEdAr2JXqZR4n3QDjssUfVykqhhjiizOwXuZmos2XuNceleRqmTaAO+TjYChmSL7HjGmAdrTHJzOwLD4M1pE/gLcF0KYX9xqtYAkWR04Cfg5OrnRNJD3yWrA0ehCnz2oXuhzMdoyOyjuOhtb6NOYdsn7pBz4OzA4W4xlVzSA98kmwJHoQp89qF7oc3XgPKqvzUY5l44pSiWNaePaU4CTNQS4FfiTiNwO/DWEMG45x7QtSSLAzsCp6IJzHYtbobbP+6Q78BmwUt6mnxfa3bl0dvPXyhjTCp1OzVb4nzmXjixSXUwr4n2yK/BSPXZdiAY7xpgGaC9D1GrTBzgL+FREnhKRA0SkvNiVapQk6U6S/AJde+G/aCuRBTdNY2uWDW5qc01zVsQY06qtlbn9ggU3JmOXeu53j3Ppf5u1JsaUsHYX4Awc2IOhQ9emd+9O+Zv2AR4FxovI70Vk1ZavXSMkySYkyfXoytl/BTbPbn6nTx/O23prZna0WKcRXgcm1HPfK5uxHsaY1i1kbg/2PlmzaDUxrc3j6NDm5Tne++Sw5q6MMaWq3QU4Xbp0YKed1uBXvxrMUUdtwIYbLjPPfj3gUjQpwWciclKrTUqQJF1IkitIkonAB+jCYT1ymyvKy3m4Xz+O2nVXTth5Z55aZx2WlLW7P3mTcS5dhM692R84Ezgf7QH8Hvq+eSCz+6neJ2u0eCWNMa3BjcCMeHtV4BXvk02LWB/TSjiXvoP28B0N/AYYgc6RHYyuofZudndb6NOYhmmvc3AoKxM22qgXG23Ui+nTFzJ69FTeeus7Kioqc7t0AgYANwHXisgDwG9CCNOKVeelkmRL4CpgdwoEqV+stBL/6N+fx9ddl7nWY9OknEuXAP8utM375CdooLM9+v45Hrik5WpnjGkNnEs/8z45EngS/YzujwY5B9qwIxPnZ95baJv3yZ7oSIGV0KBnZ2BUi1XOmBJhzflA376dGTp0Hc46awsOPrg/a6+9zDSLrsCxwFQRGS0iey97lmaWJEKSnE6SfAm8DXyfzN+vEnh+jTU4dYcdOHSPPbhv4EALblqYc2kVcF+maL1i1cUYU1zOpc8AB1I9HKkX8LD3Sf+iVcq0es6l3wHPZIr6FasuxrRlFuBkdOxYxlZbrcxJJ23MccdtWGgXAbYBnhaR70TkYhHp3KyVSpI1SZK/AxXAdcC6+bt817kzB+61F2dvuy1vrLoqtNIRde1E98ztJUWrhTGm6JxL/422wE+ORSsD/yhejUwbYd8jxjSSBTi1WHPNmr04Xbosk1xtZeBcYJ6IPC0imzVpBZLkQJLkPTRpwJHoOj5LfVhRsfT2tM6dmdy1a5M+vFlx3ie9gRMyRe8Vqy7GmNbBufRt4KhMUdN+V5iS4n2yFbBnpuj9YtXFmLas3c7BWRHl5cL226/GjBkL+frreUybtrDGZnSl6rEiMgH4I3BjCCEUOFXdkqQrcBF6kbxM9oO5lZXcNX06f506lXJgzKY2Z7U1iJNA90LnRfWPxdMBW7HcGAM6L8+YWnmfdAKOAf5EdePzs86lY4tXK2PaLgtw6klE6Nu3C337dqGiYgmTJs1n0qT5LF5cld2tP5qi+WoReRA4K4QwdbknT5IhaFrhXSjQq/ZhRQV/njqVu6ZNY3aVPt5W1mNTNN4nZcBvgYHAOsAOaI9e1u+dS+uTCrTREu87odl3dkTTgy8CZgPPAi+mzlXVcbgxphl5n5xCzWQjtxerLvkS7zsAnVPnWuSzylTzPlkJzdjaCdgE2Bad75szBxjeUvVJvO8R67Aj+t02D/gOeCh1znqRTJtTegFOkizTc3L/gAEc8fnnTfYQXbt2YODAnvTv34OpUyv46qt5zJmzOLtLF7Ql5pitunXjqnXW4fs9e67w4zw0YwY3TJnCi3PnNlHNlzGJJCm8JU1LZyJPgfdEQywpg/fWhoFrw+erQCjwCpVVwYHvwJZfcROPJTc1xePWZm6HDtw/YAC9Bg5kVqdl1nUC+P0Rn31GrX/jhrD3Re0OaMZzN4HkgOoKpo891rQnt/dFrU7uCbfvBIs7wLrT4dhXOJXHklOb8jEaoqK8nO8NGYIAS7bdlg4NGHSwXPa+WMa8TjCmH6y+FkxeZpyGWmkhHPU6PdaaxRs81oSf3wV807UrIzfYgI7rrsvi8oLrnPtnDziAoZMmNd2D2vuidvY90mRKL8BpQQsXVjJ37mIqKgrPAewqwtbdurFFt24NOv/mXbuyZbduvF1RwczKyuUfYJpVWYDXBxT+UuqyCAZ/AzuNg94Vy25vat927covd9iBL7p3L7h9m2nT2Ofrr9mzKb+UjDErbM3ZcNhoeG0gHD4aylvBJUsA/rDllryy+uoAXLXZZpw91kZCtYSKTvDqQJhfID1R7/kwZAJs+wV0boHUAunKK3PWdtsxv8Oyl4JlIbDHpEns8/XX7DRlSvNXxpgmZgHOCgohMH26zsWZPn1hwX0GdurEuWuuyc/69qWsEQtrbtSlC9esuy6XrL02906fzp+nTOHtiha4ejYFlQX4+X/hqz4wfSVYVA4dK2GdGbDyPE2x1xLmdujACTvtVCOxxKoVFQyZNo1NZs2ivKqKIdOmseGcOS1UI2NMXTaaAhtOabnPiOX5+4ABPLv22kvvd1+8mEDrqV8pW2UunPWsjgKY2xkWdoCeC/R7pEfhS4pmMbZ3b07ffvsavTYD58xhq2nT2HD2bCrLytj366/pvWhRy1XKmCZUegFOgS6uI0R+DNzfmNMuWlTJt9/O55tv5rNgQcHelCVo7vpfj1+48JMGP1CS/AAdr71VrqhbWRknrrIKJ66yCq/Onctfpk5l3MIm+SRckzT9tilO1Ko1YbenoHm6l8nV3YJ29/63wBXx7mLg9Kldu9520c03L67jMJOvibvDXa13Wgnvq/sOSmmISFNrptemNb3gV3n/T+DgePeRU++555Bi1qdNaML3RTmwQVOdrIGO8/5RqgdEfQP89LMePV544E9/agV9jG2IfY+0WqUX4DSDysrAq69OppYhylOBvwAXhxAaf4GZpk8CT5Ikq6KJBw5H5/QAsGP37uzYvTvzq2zeeDv2y8ztX6XO3Vi0mhhj2rpOifeSOmcXtu1E4n0/as722Dd1zpY1MCXF1sEpYNGiKt55Z1qNsrzgJgBvAt8PIawWQhjRJMFNVppOJU2HAd2AnwMTspu7ZYa+rT1/PjtOmYI0xyRR06ok3pcB62WK7ixWXYwxbdYzmds/BK5OvC84w9yUpOx3yBgLbkwpsgAnY9q0BTz11ESuuupdnnhiYqFd5gE3AyuHELYLIbzQ7JVK00Ca3kSaDgAGo19MNcbIdV+yhOtff52Hn3+eo8ePp6eNmS1lAch23xWYqmqMMXX6GzUbR84AHk68X6mW/U1pyX6HdKl1L2PasHYf4FRVBT76aCZ33fUp11//Pq+9NqXQHJtPgWNDCN1DCCeHEGYUoaqQpu+TpvugvToXAzW6mdadP59ff/ABTzz7LBe8/TabzJxZlGqa5hOHkXyYKTqzWHUxxrRN8XPk58BDmeIDgbtjL7EpbePQecMAmyTe71XMyhjTHNrtHJy5cxfz1lvfMXr0d8yaVbDH43NgLLpY57iWrd1ypOki4DzgPJJkKPB7YBugN0CXqioOnDiRAydO5P3evXmgf3/+s9ZaLCyc4960PdcAt8TbFyTerw28iM5bzV/o89HUOevSM8bUkDq3IPH+x8BlwO9i8cHo98kltR5o2rzUucmJ9/cCw2LRI4n3VwMfodcS2YU+HwT+Z3O0TFvT7gKcmTMX8tBDn/P++zOoqlrm/zUA/wb+DDwTQmj9M/nT9FngWZKkG/ATdAL61rnNm82ciX/7bX79/vs82q8fnW09nVJwN3AKMCTePyH+5DsZuBU4sYXqZYxpQ1LnqoCzE+9XBo6PxUdgAU57cDE6/2oVYCW00bSQM4DjgDtaplrGNI320hV9Q+7GN9/M5733pucHN/PRLtuBIYQDQghPtdbgRkSOFpF3ltmQpvNJ01vRi94dgbvQlnwAei9ezLDx4+mxpAVWDzPNKnVuIfCLeu6+Y3PWxRhTEiYUuwKmZaXOfUL1cgPLY98jps1pUIAjIi+KyEIRmSsis0TkbRE5vKkr1wJeQ7toVw4hbBhCmFDk+iAiA0XkHyLybXx9J4rIP0WkE0AI4Z4QwpaZ/UeKyC1LT6BJCV6LGdjWQYcbfJF9jNfmzmW/Tz+lfPTo9+Lfb7SIHIxpE2Jr6xP12DWgga4xxhSUeP8jYHimaEyx6mJaTuL9btSvp64C+EczV8eYJteYIWoXhhAuEpEOwGnAvSIyptXNV1lWBXAv8JcQwlvFrkwBT6CZ0gah8yjWBvanIevEpelU4I8kyZ+AH6DD1/adXlnJEX37skP37rtf8M03H6KTS/8uIruGEN5soudhms8pwKrx9nzgZ+h8m+2ALYCF6Hvn+dS5L4tSQ2NMq5Z4L8BZaCt+7vtlLDXX2TKlazi65ijAeODHwBRgB2B9YC6ayOjJ1LlZRamhMY3Q6Dk4IYQlInIzcDWwFTBORLoBfwAOBXoBbwCn5YIfEemITmo8FlgL/ac6O4TwUAyYzkXHfPZGW5POCCGMjceORP8pFwM/QifC/RbNLHUzsDGQAkeHEL7JVHU6MAtYLdZz6Yx7ERkB7BxC2CvenwDcBOwJbI92358cQnglbt8TbfnYCM1E8hzwqxDClLj9SHQN2nXQC9AnQwjHxW0rA5cDe6PpGV8ATg8hTI7bBgE/CiHkPlC+QlN65up6HHBeCGEDETkbODrzmAC9QgiVsUfmfPSDahJwUQjhByTJ+j/s1esX6Hjraed//XUV8IiIjAV2Rtf3Ma1bdnjaKalzD8TbT8cfY4xZnjOBP2XujwMOSp2bV6T6mBaSeD8QGBrvVqELfeYapx8sTq2MaVqNnoMTh06dEu9+En/fggYaOwBrAK8Dj8fABuAi4BjgcKAnsBuaihk08BmGTn5bExgFPCsiPTMPexia3rIvcCEa2PwBOARYHR2aMyKzfwXaqn14POZB4Im8c+Y7HvgVGqA9S80JdgvRXqtV0axVawHXxtejGzos6JchhB5oNpJb4zYBHon1G4wutjUH7VEihDANeB+4RUSGicim8ZiCQgiXA/cAd8QU1t1jcDM0PuaZ8fkeC9wgIruSpuNJ09+hwde0WK81gM2Ad+t4PUwrEBfjWztT9EBt+xpjTCGJ93tQc/7Fy8COqXOfFalKpmWtk7n9Via4MaZkNCbAGS4iM9Hg4SLgxBDCuyKyCprN69QQwuQQwiLAo8HK9vGC/ZfA70II7wb1VQghd3H9M+CPIYSPQggL0cClEtgv89jPhxD+HRMB3IlmALkrnmc+GsBsm9k/ALeGEEbH+vwx1nv/Op7fjSGE90MIlWjAtoGI9AIIIbwcQngzhLAkhPAt2iOzZ+bYxcDGItI3hDAvhDAqlg+JP78MIcyKdT0b+L6I5D5wdkdT/p4JvA1MFpHz6wp0CjgDuDaEMCqEUBVCeAPNvDVs6R5pWkGaLhaRldBg8dEQwnMr8BimOKqoudBrXUG6McYU8iuqRzG8DQxNnfuuiPUxLSubbahXHK5oTElpTIBzcQihN5pi8Ang+7F8QPz9rojMjEHQdKAjsC7a67ES1b09+dYFlrYixSBmQizPmZTZPj+/DB0W1iPvvBMyxwTgS2q2YuTLni/XZd8DQESGiMjTMRHAbODv8Xnl6vNDYF9gfJzAf1Q8fgC68vzkzGszHlgA9IvHfxdCODeEkFvX5mzgAjTwq68BwDm5x4iPcxza07SUiPQAnkSHCA5b5iym1YlrEWSz6J1TrLoYY0rC6NS5BcWuhGlRn6AjUQA2BA4qYl2MaRZNMQdnhoiciF7MHwS8GjdtGEKYmr9/7ImYh/5TfZq/HZhIdZCEiJQB/WN5Y/TPq0M/dH5LQ9yH9hIdHkKYLSL7A4/lNoYQXgReFJFydAL/QyLyOprNbB7Qtz5pqGOwNFJETkfnDRVS6DxfACNDCLWmgBSRvsBTaDB5TAjB8ke3HVehPXIAZyXeDwZeQodn5i/0eV/q3Jyi1NIY01pNyNwelnj/SOrc48WqjGlZqXPfJd7fga6VBnB/4v0/0MazTVh2oc8nU+fsGsG0KU2yDk4IYTp60XUJ+g9xL/AXEVkbQER6i8ghItI99p78FbhcRAaLWltENo+nGwmcLSIbxfk9w9FA7N+NrObxIrJNJsFBt0acsyeasGCOiPRDUzEDICKri8ihItIrDm+bGTdVoskP3gaujQkFEJFVcwkCRKSPiFwaX5eOItJBRA5F5+uMorBvgYExEMy5BjhTRHYRkXIR6RR7nZL4OGugF8QfoskY7IOrbXkA/fvl7I0u2vYrYA9gH3S+2U3oorXGGJM1HP0uAh1d8a/E+9OLWB/T8i6hupG3E5qw6HJ0tMhu6EiUYcCjrNgIEmNahaZc6PNadJ7NMOAk4GO0F2MO8B56wZVbXXM4epH2CDrJ/iW0Rwd04uPf0VTJk9Ghb3uHEGY3sn43AdcBM9CVmvfLZCpbUSejq8PPAR6mZo74MnSO0YT43P8MHBtCmBB7bQ6O+4yO219H592AtryvFs85HZiKri58egihtjz0t6BD/qbF4WjlIYRnYh2vQAPOSWiWu+7xmJ+jQdNhwKy43s5cETm3ga+HaUGpc4vRTIP1sXVz1sUY0/akzs1Hk/J8HovKgOsS788uXq1MS0qd+4JMhtblsO8R0+aIdqgYY9qKxPs10AaE5SUYWAT8JnXuhuavlWntEu+XftinztmkYkPi/WpoC/32sSiXMvjZ4tXKtITE+33RObjLMw1NH/6/Zq6SaQPa0vdIU/bgGGNaxmlUBzcz0SFqndGLlJPQXtSDgbUsuDHG1CZ1bgo6rDU3d7YMuKx4NTItKDsK4D10FE0vYC90lMfRaLKktS24MW1Ro5MMGGNa3ImZ2ydnWlvfiD/GGFMvqXMViff3AjvGIrsuKHGJ9xsBu8S7S4D9UudyiZyeiz/GtGnWg2NMGxIX+lw9U/RIsepijGn7Eu/7o4l3cqYXpyamBa2Zuf1WJrgxpmRYgGNM21JFzUXaVi1WRUqBiPQXkZBZaLfkjbn4YkRkx+Xv2X61l/dF4v12aKKbfmMuvpi5X345Dx2e1C6ISL+YYGet5e+9QucNIrJzU56ziS3M3F61sQt9isj7InJEI+tkmll7+ztZgGNKhoi8KCIL4xfWLBEZE9NsN/R8I0TkP01Zx8aKC32+mSka0ZZWoc78jebEv9FnInKXiAzJ2yeIyK55x44TkePyykREPhGR2SLSnTwxRfq58YN9Xlyc9wUROazZnmQRiUiZiJwvIp/G13iaiPxPRPbI7bP18OGEEF6N++8uIq0iTXyB/9+3ReTwvO32vmiAQu+LDl27vjf7s89GoZk72Xr48EXd+/U7InXuk5Z4X7SGz+sQwpchhO4hhG9W4HFERE4RXcR7rohMFZHXROTk5R/danxE9QLmA4Cf1rVzfL5j4//TDBFJsxfKIYTNQgj3x31bdeNAS34HFevztba/Qfbv1B7YWFtTai4MIVwkIh2As4D7RWTTEMInuR1ERIDyNrz+z5Xo4mugSQV2Tbx/GeiCpv/OLvR5e5xI3JpcGEK4CEBE1kOfw2si8uMQwj/jPtOAP4nI9qHuVI97oIvSzQV+Atyc2yC60O6/gXXQ1O2vAouBXeNjPph/shJwDnAUcGAI4UMR6QHsBFQUt1r1lv3/PQ24V0TGhBDGxe32vmiYGu+L9X/840HSocNrZR07dorbpwEHp8693ML1aouf17ehiV1OQz9j5wMJMAJdjqLVS52bmXh/K7p2GsDIxPtTgLeAtcks9PnF449PBH4EHITO8eyCPt+uLV7xptMi30GmuKwHx5Sk+GX4F6Ac2Dy2ZpwhIinxC0l0IdULYgvOdBF5TkQGA8TWqXOB3aV6naCBcdsuIvJyPGa8iPwmfgkjIt1E5OHYIjxbRN4SkaG5esWWladF1yyaEVsBB2W2nxRbynItmnsXeHqPAI9l7g8CTkCz3h3H++gAACAASURBVGwJbAvsiWZDur6JXtJmEUL4IoRwHnAncH3udUS/JNZBvzDq8nPgKeAulh1a8xP0ovXAEMLzIYSKEMKSeLvW84rIwfHvMlNEPhSRozPb1hGRp2Kr7SwRGZVr+RORviKyQES2yjvfSyJyQbx9pIi8E98bk0TkRhFZKbPvGiLyWDz3JyJyQnzv9s/sU9d75HvAYyGED+PrOyeE8FQI4bXcDqNHjEBEdhYdlvMkUJ55jx8bH6OfiDwY6zhJRG6KwVKLiP+/N6ONcNnX094XTfC+6LPZZuf3HjSod/d11wVdK23H0SNGjCrW+6KIn9c1WrpFe4GeE5FLRGRK/PGZ13hn4DjgqBDCP0MIc0MIVSGEN0IIP6zt+S2nDrV+Z8TnPElEDso73x0iclu8vaeIvC76fTJVRO4TkdUy+/YQkTvjY38hIsNEZMlHt976EvApwMwPP5QPb7xxh7cvvfTU92+44aBp7767ObADsL+UlZ3SZbXVvgkhvB5URQhhVFxvL/cYE0TkmHj3nfj74/h3OD/us7KI3CoiE2M9HxCR7HzSomjm76A6ichu8W83S0Q+EpGf523fIvO5Ml1Ens1suz2+lnNE5AMROSpzaG1/g+zfqc7Hl9j71GPAgN926NZtRnnnzpW9N964onJh9ejGxPtXE+9/m3jfb0Wed0uxAMeUJBHphLbOLqb6n/0EdJHX7sAYdGLtMHTF5jWBUcCzItIzduNeArwYhzB0DyF8JiKbAU+gi6iuCuyHtuTluvjL0IVaNwRWRhetfUhEcnNlLgG+RBMFrIKuED0z1vlktKX1aKAPuiDuwyKyQeL9/on33wdInasErqnnS7FxXRsT73sm3p+feF/s3tz70JbDXLA3D7gAuEREOhc6IL6mB6MtqrcCQyQzzAD9u74ZQvi0vpWIFxa3AmcCfYFjgRukeqhCGXohth6wBtri+bCIdAwhTEfXFDkuc76BaA/KHbFoFtqS3hvNYrQLuphvzj1oD9y6wM7kDR3Jf4+s/r3vPYPIIyKyQdzlv8CJIvJ/8aJqJWoRh+X8AKjMvMfvEJEuiLzYe+ON+3To3n0gsCn6RX9tPV7CJhH/f/+fvfMOs6LIHvZbExkYhjiCEiQJSBCQFlERESNiQFnMAcGEuCu6pg3aU8ZFdw1r/inqp6yoLGtAcc0JA2ujgEgSEBAEJOchzNT3R9Vlei53YIYJd+6d8z7PfeZ2dXf1ud1nuupUnXNqhNucF9olelEKvWjat+9ne9OLXfn54TW0Xgt8f/e92KtepKR8Vq99+xzsiHWF6UUc39ex6It9Rx8EnAH8WSl1jNt3GrDMGPNZGX7bfrcZzvB7CdtOROrLBgYDz7ui7a6+XKCrkzv8TB7BPq+OXUaNeiw1M/NcIHXLL7+sBV7buGABi956i+annkq3W2+l1aBB/DJpEpsWLQKg7sEHk7969WFKqbudMVV/j9+YkpKW26vXCW6zm/vbwT2Hu5zR8AZ2sfcu2P+TTcDLpb2PVUBltEElopRqjTWMnsI+96HAfcq55SqlDgQ+c59W2PfK6FAVk7GDP/WBO4EXlFKd3L49nkFZru9pXb/lwIGXAKmZDRo80HXUqPpd/vCHlPxVq2r9NmVKuJreWL1e7Gk92dP6Wk/r9NL8/qpADBwh2fiLUmo9sBQ7pT445N7yd2PMAmNMgTFmO7bRGG2MmeO27wQKsA1QSYwAxhtj3nT1zAEewza8uBG9sW7kfKcx5gFsx+QId/4O7IuqjTt/hjFmpdv3B+BOY8x0Nyo4Cfgko169EcBY4ENPa9/T+mCsi82+2AA8VNJOT+sewFT3u3VJx1URS93fRqGy57GN4PUlnHM59jdONMZMw3aCwn7wucCyMspxPfCIG6EsNMb8D3vvI893iTHmLWPMVmPMNmwntCW2cxKR+SKlVOQlPxT4xBiz2J3/rjHmR1f3fGyn+ASwswBAf+BmY8xGY8xvQHTDtFtHeubldW1+8snX12vXrlb9jh0fcbFYf3fHHIvtVK9VSr2plGpR2htQ/9BDb8rIyWnZ9vzz+3e76aarjTHrgNvd70ot9Z3cPyL/v9uAu4ErjDEzoo4Rvdi7XvRp1r//73PatcvIadcu0iEqphfT779/4Pxx49ixYQPA2Z7W+9SPht263Z6Rk9Oy3YUXntQzL+93FaQXcX1fl8A8Y8xTblZvCjAN65IF+6c75W0zngdOC83KnAv8aoz5wp0/2RjzrZN3BXA/RbqTgjV67+iZl3d0Zv3693e86qq+AE379j0W+Mtv33zDAUceSd2DD0alpFCneXMaHnYYa6ZbO7NB586L6nfo8EesQfsysEbZeLUuAJ7W56XXrXtQnWbNhnpaDyjhHvR0n5HGmA3GmK3ALUB/VX1idSqjDdobFwDfGWOed8/uG+BpipaBuASYb4y5zxizxRizwxizO8bMGDPGGLPG6dQrwAygXymvXeL102rXvgmYXqtx42EAzU48kdTMTNKzs6nfsSNbfy0xXO0Y4HHgC0/r1mWQo9KI96itIFQ09xjnWxuDRVHbLYCFkQ1jTKFSapErL4nW2JfyOaGyFOAXAKVUFraBGYidoSkE6lKU7exmbKdgohtd/zfwJ2PMZlf340qpf4bqTqvdrNlh2AXYwPp5D8P6QQOsAM4EAqAtcBh2RG8jEAS+v0fshesIX4M1fiIjU3/ytH458P0f9/LbK5NII7cmUmCMKVBK3QKMU0qNCR/sRgSvBMYaY3a64jHA35RSf3T3cxW2k1kWWgPHK6VuDJWlYkeLUUo1Bh7ENiT1sc8Xip7v+9jOyRlKqdexnZg/heQ+CTsq2BF771OBSIxUM/d3Sejai2PI97hS6p8pGRnZSqlUU1hIw27dTgP+0zMvb1jg+2OxnW/caOJz2BmAveJpnQLcUqdZM71+7tyUaffdB/CQysvT2JFXgzXOy9rBKwv3GBuT0QD7PPu7v7sRvQD2rhd1lVIpTi/O8bT+fz3z8q4N60Wjww47a+vKlRN+njAhtcOwYQdiM6nFxM3u3pV1wAG3rf3hB5xevKjy8h6j/HoR1/d1CSyP2t6CfYeD1Z1mlI1ytRnGxtJ9B1yM1bHLKZq9ifyP34sdta8NKOysF66OjNoHHrgSOzNEZv36dQHqHnzwDQDb169n488/Fy7/9NPNgEGpVJRKS69T5wfsrNrUdbNmFeJmhZRSHbEG+Ds98/ImKaWuCf2uZ2s1bnx8/urVse5BJrBS7fYAAyAf+7+4NPqEOFAZbdDeKKbPjgVYQx/srM08YuAM1zzsDGdT7P9gHcqWVXWP6zfs1q3p1mXLeoUuRHa9evTt0IFTunTh7fx8pk6Zwlu33sqm/HymLlrE+zNn8r+FCykoClM6EvjO0/qswPc/L4M8FY4YOEJNojBq+xfsixfY/dJoRVHjF3082I7Fc8aYkSVc40bgOOwI2iJjjFFKrcY2OhhjVmFHUv/g3FTexI5k3eHq9o0x48MVelofiB056+eKwp2zKwPfj2RVm+8+JeJpnYP1LT43VLzZ1RMv4wbsi3oZMDdcaIx5Vyn1P+z9CXMC0A4Ypop8j9OwDfuF2GDfScAYpVS70KjwvlgMvOBGUWNxH9Y95khjzHJl4w82UvR8C5RSL2JH6DdgDdPXYbcbzhvY5/2cMWabUuo64CZXd6SD2JKihie6I75bR9wo2asUjfQOAnp4Wp8b+P7/nDxTlVLPAveU8HsKATytc7E+6Kdm1K9PrUaN6Dxy5Brg0sD3J5V0syoLY8w6pdQVwAKl1FnGmDej9ote7ClfRC86A+OBQ92+S4EjnF7MBFgzY8abOW3bPr1l6dJr3TEHAhxw1FE9sK4vEb1oge0YH5NRr15EL5YBFwS+/0Wp7tz+UxXv67IyCfiTUurYyAxKKShXm+F4HhiplHoL6xZ0fmjfK9iBsiHGmI1KqdMpitFcBezYunx5E+B04LUdGza0AlApKQ0AMurVK9y1bdvdOzdt8kvzY4wxc3Jat35106JFTxVs23ZNWu3aABTu2rUSOCN/9er8Eu7BFqChMSbWc6oOVEYbtDd+wbo8hmlDkT4vAkrK6ngBdqbnZGCWM/YDinSmNPe42PU9rQdm1K07dFc9O5aalZFBSkoKH9x8M7UzbC6STzMzSU1JoW6tWtStVYuDunfnjO7dWbdlCxOmTuWZzz6joLAQ7CDPRE/rXoHvz93z0lWDuKgJNZkXgFuUUu1dJ+Mv2BdUxP1rBdDS7YvwBHC+UuoMpVS6skGgnZRSx7n9OdgZlDVAhrJBxLt9lpVS5ymlWrvRnw3YUd1IdqCHgDylVHdlyVJK9Zmal1cPOBHrRhadzaWXW/xznziXtO8obtxMBw4PfP+V0tRR0SilWigbxDsUuN6YmNlqbsZO+4dHp67CxhV0xPohd8f6dj9PUaDnOOwI+5vKBkzWUkqlKhtYWZLv98PAKGXjV1KVTSfcUykVcVHJwQY9r1PWF350jDqex8Yw3AqMM8ZEGvwM7MzbOteJ7YT1nQfAGLMU+BQ7AljXuaT8leLs1pGpeXmLFr311olrZsx4LX/VKgBWfvXVwRvmzfuq6w03/MnTWimlDsF2cEvqjK0AUvPXrPkBOBWgfvv2FO7YkT/jH/941gWeK6VUM6XU2SXUUSkYG7vyINYHPlZbJXpRRFgvZq348stj1/3446SQXhy6Yd68oMv114+M6MWmhQt7pWRkTMHFAALU79DhLucCa/Vi7drpWNcT6rdvT8H27Vun33//C1Pz8qbFQS9eoOLf12XCGDPZyfGyUuospVS2uw89lVJvl3BaudoMxyvYzvQ/gQ+MMeHZshxsW7JJKdUSuC0kbyF2cCxval7eohWTJx+7+O23i82WHNC7NwX5+deVpNtKqWFKqSHKzlLS/rLLRqq0tMdr5eYSMm62/vrxx38NfP87rFFVSJF7JlgPg2nAI0qpRq7eXKVU2FCLC5XcBkWuUSvqk4Z9D/VUNulDmlKqlzsvMlM0FuiglLpV2UQU6UqpSJxTDrbfsApIUUoNoyjuBmI/g2h2X/+wG29ss/mXX15dNXUqjXr0oH3Tptxx5pko2G3c7I0GdepwRd++jBk2jEbZuzNl5wBveFrX2suplYoYOEJN5gHsP/n7wEqsO8zJxpiNbv947CjHCmUzJ7U2xszEjoSNwroy/IZt8CIvvgexHYZfsdPNWynuatEDGzS4GfgRa3D8HcAY8wzWVeF5YB3WJeV2ID3w/YLA9/OAkyjO7cAHbpYnJp7WytP6WuAbrBtbhCeB3uEA4yridmUzv2zENhDtgKONMRNiHWyMmY5t4HMAXAdvENZHf0X4g+1Y9lBKecaYAuwI1cvYTsZa7Aidj322sa71PrbhegCbXWo5tvMYeWv72HVD1mB9nr/CxgGE65iHTad6EtY9LFK+GeuPf79SajPWXzm6Q30h1s1kKXYkPSLndldHMR1Z8913Cxb95z/1Ny1efD2wPjUzk+Wff546++mn7/3u7rt3otTH2Diry6J/q6d1Ss+8vN/lHnGEmTtmTJNp993HmunTScnIuM8UFh66c9Om5tj1MjYAH1E8m1lV8Qh2dmGPmAnRC6AEvVj2wQdzFo4fn7bl11//Cmx1epE555lnHvvurrt2YJ/n1F2bN58OHIU1DlBK1QOe7ZmXNzz3iCOY++yzDZxeFKZkZNxWsH37obu2bm1FfPSiMt7X+8Mw7Iyd7+r7DRtT82asgyugzcAYswE74zeAkO44rsKO5m/CJiuI1uHrsW3JvGUffvjlpoULfQCVZh146rVrl9L23HMbZjZoMJ7Yur0OuBaYnZKWtnPR668/lpaVldruwgvB6t+IXVu2rNq1ZUu+k3Ubtl0a557DX5yhNQjb55yqlNqEdYvsF+ueVQFV0ga501OxMYXhz2PGmJ+x76HrsO+Nl4A7jDGvuWv+ir0/J2H/71diB0fAJieZgvXYWIaNj9o9iBXrGcT4TbuvP/PRR+cseuONOgcdfzydjjmGxy++mIZFhkqp6dKsGY9ceCGZabudwzpik4XEBRXbWBUEobriaf0lNu1rmN+AiwLf/zDq2HrAsxSf6t4EXBH4/muVKqhQbpRSp2A7TlkljCzuxtO6FdZlrVeoeAlwXuD733hah89vgm1Qw6mEVwOXBL7/3woQXahEyqgXnbCd3k6h4jnAuYHv/+CO+QNFmbe2Yo2pCMuA8+OwRo5QCSi7LMGcrjfeuCUjJyc6y+JU7PtiQbjQ07oD8Bo2xjPCfKwOfV+pAguVihscXYILWXnq0kvxWpcvR8DYr7/m4fd3ZxH/BWgV+H6VuyaKgSMICYan9UAgljuEwWae0tjp6cOxjVKb0DHfYxul0sYeCFWIUqob9jn+gI03eBXrY73HDEwsPK0zsOsf3RAq3oUd+ftHqGw5Lu7C8QU2rqIyEwgI+0kF6EUd7JpYl4eK87Gjxy9h08UeH+PUScBlge/vETUuJAbKpgOOJJJojJ3lq9MzL+8bbNxXNBuB4YHv/9slpLkAm90rPKT/KnBV4PsbY5wvJBCe1hfhko8c1rw5zw0v/4RL/s6dnPbgg2zM3x2O1Tnw/VnlrriMiIuaICQe7+JeSFEo7LT0euwU9lcUN26eAI4W46Za0xDrZrIZ64o0g5JTlO5B4Ps7At+/Ees+EYmtSKO4cQPFjZt7gf5i3FRryqsXWwLfH4Z1VdzqimthZ3fnsKdxU4A1is8Q4ybhycIGvG/AGshbsS6P92PjYqLJAcZ7Wq/AGjL/osi42Y7NwHmBGDdJw25vkKPbtdvbcaWmVno6PVu1inmNqkSyqAlCghH4fqGn9WXYUfg/sudARTbFF7LbhB2RixlfIFQfjDGfYP3By0Xg+2+6pBKvYNN2xmI1cHHg+++V93pC5VKBevGip/W3WJe1zq442h9lKdYl7cvyXk+IP8aYWdjg9z3wtO6HfUecGmN3E2BIaPsn7Ox/LKNISFx2r/vTvGHDCqs0qq7GFVZxGZAZHEFIQALfLwx8/xbsqstPYhufWKwHjhDjpuYR+P4i7KrssWKtFgI9xLipeQS+Pxsbp/VBjN0zgO5i3NQMAt/fEPj+AGya6n9TtPZSNN8DPcW4SUoia/iwdceOCqt0W/G6dpZ0XGUiBo4gJDDO3WwkNotPrJdIfeD/PK0PqlLBhLjj0offSuy1FNoAT3paN4qxT0hiXJzWXeyZkRFsEPk/Pa3rxtgnJCluQcbLKFo/J5oewOh4pvwVKo3d69/9sLTi1ludUbyumRVWcRkQA0cQEhhP6/rABGwGpHRXvAk7EhuhLzDN0/qUKhZPiBOe1k2wgeN3UvSeXwPMDh12OvC9p3Vc/KOFqsetcfM5dnHJCMspvqL5hUDgaR1eV0NIYjytO2KTEIQjzBdTtOgk2FTmX3ta721tFSHx+Dzy5eNZs9iwbVu5K/xx2TLmrVgR2SwEvi53pfuBGDiCkKB4WvfCug6EF9qbih1tOxybcCCSmjEX+K+n9T2e1hJ7l8R4Wh+PDR4+MVT8GXZ0vhtu3SVHC+BzT+ubPa2lPUhiPK3PwupFOCbrbaCr+zwbKm8PTPG0vspl0hKSFE/rS7ALcYbjdF6mSC/C7s3dge88reO+QKdQYUzBDXxt2bGDxz/6qFyV7Soo4MH3ink+vxavhBSSJloQEgzX4fgDduG79NCuR4GbA9/fHjr2OOzieJISOMlxLml/wS5AGDFWIqnD7wx8f1fo2NOxmfbCkaCSEjgJ2Uvq8NuABwPfN6FjL8KmBA6vj/IKcLVkzUouPK1rY9uMYaHifOD3wJiIXrj25hrgYSC8rP3TwA2B75d/yF+IK85gHRfZvmXAAM7t1WsvZ8Sm0Bjue/ttXv/uu0iRAbrEI0U0iIEjCAmFp3UD7ErWg0LFG4Bhge//p4RzDsCmlQ773MuijkmEp3VTbDrX/qHimIu/hs5pie28HhUqlgxaScS+Fn8t4ZwO2FH7rqFiyaCVRLjFX1+jKJMewFzsM55Rwjk93DnhbH7T3TnzKktWofJxRuyrhLLmnXvEEVx/8slkppXO4WPtli3oN9/ky5+K5Tv6c+D791WosGVADBxBSBCcS9prwMGh4gDbWVkY+6zd56ZgR2zvorhr6t+A28Oj+0Ji4WndH+tS0iRU/ClwYeD7y/dxbjp2hie84F8BdibogXisPi1UDJ7Wg7CLOtYPFU8Ehga+v3Yf52ZhR+yvChVvB0YBT4dnfYTEwtP6Umzmzdqh4rHAiMD3N+/j3BzsmjrnhYo3Yxf9HBf7LCERcIsBfwp4kbImOTmc2rUrJ3fpQvsmTVCquLdqQWEh3y9ZwvszZ/Lhjz+GF/YE2yZdHM93hRg4glDNcaMro7ALs4WHUx4Bbg27pJWirr7YqehwVrXJWJe1ikuhIlQ6ziXtduAO7CKvYF0C7gTuCny/oAx1DQRepLjL2rvApeKyllg4l7T7Kb4Q6C6sEftwWTocntYXYDu0sop9guM6sI8BQ0PF+dgsnM+XVi9ce3Q11gDODO36P2CUuKwlLi574osU9xAB4OBGjeh00EFkZ2ZSYAyb8vP5fvFiVm+OaRM/APypLG1QZSAGjiBUczytn6d4o7QBuDzw/df3s75c4CUgnFVtDdAn8P05+yunUHW4TsZEYGCo+DfsrM1+RYl6WrfAuqyFs6otA46UeK3EwBm9X1Dc7XAJ1o1oyn7W2R47cxzOqjYfu77W+v2VVag63IzctxR3SZuD1Ysf9rPO7li9CGdVmwb0Lsugm1C9CMVc3Uvx2d/SsAQ7+FEt1lcTA0cQBEEQBEEQhKRB0oIKgiAIgiAIgpA0iIEjCIIgCIIgCELSIAaOIAiCIAiCIAhJgxg4giAIgiAIgiAkDWLgCIIgCIIgCIKQNIiBIwiCIAiCIAhC0iAGjiAIgiAIgiAISYMYOIIgCIIgCIIgJA1i4AiCIAiCIAiCkDSIgSMIgiAIgiAIQtIgBo4gCIIgCIIgCEmDGDiCIAiCIAiCICQNYuAIgiAIgiAIgpA0iIEjCIIgCIIgCELSIAaOIAiCIAiCIAhJgxg4giAIgiAIgiAkDWLgCIIgCIIgCIKQNIiBIwiCIAiCIAhC0pAWbwHijdZeJuADVwC5ZTh1KfAo8A/fDwoqQzYhfmjtZQP3AJcC9ctw6s/A34EnfT8wlSGbUDVo7Z0KvFvJl1no+0HbSr6GUIFo7V0CvFjJl5ni+0HvSr6GUIFo7d0APFjJl3nH94PTK/kagpAU1GgDR2vvEOBVoEf0vuzsxtStm0t6eiY7dmxj48bf2Lp1XfiQ5sBoYIDW3oW+HyyvGqmFykZrrxvwGtA+el9OThOysxuRlpbBjh1bWb9+Bfn5G8OHtAYeB07V2hvq+8HaqpFaqExq1cqhadM91GG/2Lkzn2XLZlZIXUJ8qVOnIbm5bSqkru3bN7N8+ZwKqUuILzk5TWjYsEWF1LV163p++21+hdQlCDWJGmvgaO31AD4EGkbKsrMb07nzSXTtegoHHdQZpdTu4wsLC1iyZBozZ77HrFkfsW3bhsiufsAUrb1+vh8srMKfIFQCWnvHAe8AdSJl9esfROfOJ9Oly8k0aXJIlF7sYuHCb/nxx/eZPftjtm/fEtl1BvCl1t7xvh+sqMrfIFQ8zZp15uKLH62QutauXcqjjw6qkLqE+NK27ZGcffZdFVLX0qU/MGbM5RVSlxBfDj20P6ee+scKqWvevC8YN+6GCqlLEGoSNdLA0do7AHgLZ9ykpqZz0knXc8QRQ0hJSY15TkpKKq1a9aRVq54MGHALX3wxhs8/H4MxhQAtgDe19o7y/WBzVf0OoWLR2msN/Adn3KSnZ3HaabfSrdvAYkZNmJSUNNq1O4p27Y7itNNu5aOPHmfKlHGR3R2Bf2vt9ff9YEdV/AZBEARBEISaTk1NMvAs1sWMzMxsLr/8GY488vwSjZtoUlPT6Nfvai688GFSU9MjxV2wsRdCAqK1p4B/4Yze7OxGXHHFC3TvfnqJxk006em1OPXUPzJ48L0otftf6xjg9sqQWRAEQRAEQdiTGmfgaO31wroPAYrBg++hWbMu+1VXu3ZHM3DgbeGi4Vp7rcopohAfTgWOAjsrc+6593PAAfsX+92ly8mccMLIcNEorb1G5RdREARBEARB2Bc1zsABrot86dLlZA455JhyVda9+5kcfPDhkc004OpyVSjEi99HvnjeYFq06Fauyo4++pJw8HE2MLRcFQqCIAiCIAiloiYaOMdFvhx55PnlrkwpFV3PcSUdK1RPtPbSgD6R7YrRixTRC0EQBEEQhDhQowwcrb3GQEuw8RIHHXRohdQbmsEB6OniOYTEoR1QF6Bu3VwaNGheIZVG60WFVCoIgiAIgiDslRpl4ABZkS+1auWQklIxSeSysuoBu22aDKB02QqE6kLt3V9qNyh1UoF9Vlq72PqgtUs6ThAEQRAEQag4apqBszuF89at69m1q2Iy927ZsgbYvWj9Nt8PdlVIxUJVsSnyZfPm1Rhj9nZs6SvdtDrmNQRBEARBEITKo0YZOL4frAPmAxQU7GDp0hkVUu/PPwfhzf9VSKVCVbIAWAewZctaVq1aUCGVLlokeiEIgiAIglDV1CgDx/FJ5MvXX/+r3JUZY/j667Ex6xcSA98PCoFPI9sVoRcFBbvCC36C6IUgCIIgCEKVUBMNnEdw/mTz5n3BjBmTylXZV1+9yPLlcyKb+cDT5apQiBcPRb5Mm/Y2P/00uVyVffzx46xbtyyyuRZ4sVwVCnFl7dolrF27tNz1GGNYsODrCpBIqA6sXLmAjRt/K3c9xhSyYMGUCpBIqA4sXz6HrVvXl7uegoJdLFwok/+CsD/UOAPH94MfsSvWAzBx4j373ZmdPv1tPvro8XDRP30/WFE+CYV44PvBF8B/7ZZhwoS/snjx92WuxxjDN9+M46uvXgoX3+f7gcTgJDDr5xSfqgAAIABJREFU1i3jySfPY/LkFygo2L8Qu7VrlzJ27EgmTRpdwdIJ8WLlynk8/vgQvv12PMYU7lcdv/02n+eeu4JPP32qgqUT4sWSJd/z2GODmT79nf2O6Vy2bCbPPHNJtCeAIAilpMYZOI6RwByAXbu28/LLN/Dhh4+xY8fWUp28bdtGJk68hzfeyAs3al8Ct1eKtEJVcRmwFGD79s28+OI1fPHF8+zcmV+qk7dsWcuECX/mvff+ES5+G3iwwiUVqoLJwMNAIdh3xUcfPcYzz1zCsmUzS11JQcEuJk9+gSefPC96NPYX4A8VKbBQJbwNjIls7NixhUmTRvPcc1fw22/zS13Jzp35fPTR4zz99EXR8aDzgFsrTFqhqhgHvBbZ2LZtA2+84TN27Mgyzf5u376Fd999gGefvZyVK38K75oO5FWUsIKQ7KiKyhiVaGjttQM+wq2LA5CWlkmHDn3p3PlkDjnkaNLSMncfv2PHVubO/ZyZM99j/vyvKSwsNoo7EzhJZm8SH6297sD7QG6kLCOjDh07HkeXLqfQps2RpKYWpRfPz9/E7Nmf8OOP77Nw4bcYUxCubibQx/eDDVUlv1DxaO0dATwDdCsqVfTqdR79+48gM7NOiecuXTqTiRPvju74FmJdZe/w/WBz7DOF6o7WXj+sS3L7SFlKSipHH30pffsOJz29Vonn/vzzt7z99r2sXftLuHgncB92xrd0oypCtUNr73TgCaBFpCwtLZPjjruSo466uFj7Ec3cuZ8xadL9bNy4Mly8DfCBh30/2FlJYgtC0lFjDRwArb0mwEvASdH7UlMzyMrKIT29Fjt2bGPbtg3RRk2EV4GrpRObPGjttQJeBo6K3peWlklWVg5paZns2LGVrVs3RBs1EVYCbXw/KN20oFCt0dpLB0YBmtB6Wjk5TTjttFvo0OG4Ysdv376Zjz56gm+/HU8ohTzANOBK3w+KpdgTEhOtvVrAn4HbgPRIecOGLTj99D/TuvURxY7funU9H3zwCNOmTYyu6kvgKt8PZlWyyEIVoLWXDdwJXE/IU6ZJk0M4/fS/0Lx5l2LHb9q0inffvZ/Zs/fIRfMzcILvBz9XssiCkHTUaAMHQGsvBbgWuAboXIZTA+CfwFjfD2r2TUxCXIf2j8BwoN1+VNHa94NFFSqUEHe09loDTwKnhMsPPbQ/AwbcTN26ucyZ8ymTJt3Ppk3Fgs+3AXdgR2FlnawkQ2uvE/B/wDHh8u7dz+Ckk64nK6seP/zwLu+992B08PkGrDvaMy6bo5BEaO152Nnf7kWlil69zqV//2vJyMgiCP7DRx89yvbtW6JPnwP0lEEyQdg/aryBE0Zrrwtwvvu0LeGwx7GdlNI7WwsJi9aeAg7H6sRFwIGlPNXz/WBqpQkmxA2nExdg43N2uzJmZtahWbPOsbIevQeMkFHY5MYNll0J3A/kRMpr165Pbm4bFi/+LvqU8cD1vh8srzophapGay8NO/t7J1Gzv3Xr5u4tnm8GcKLvB6sqX0pBSD7EwImB68BkAzdifV+V2/Uf4HcyY1MzcXpxHbYT0waoDWx3n3pRh/8IdBVdSV609hoBDwCXl3DIKqyLyiuiBzUHrb2DsDFWvyvhkPXApb4f7OGnJiQvJc3+hihkz8RPT/t+cE2lCiYISYoYODFwHdmHsJ2TCLOBIyXdrxDB6YmKuJZo7R2JTVwRiTof6PtB+RZaEqo9WnvHY4PNDwkVPwfc7PvB2vhIJcQbrb0h2BjPzFDxHKCXtCM1E9dmnI81gCOzvzuB0cA9vh/ka+1dgzWEwA6etfT9oPyLLQlCDUMMnBho7V0HPBoq+goYJFPFwr7Q2nsMm4Yc4BHfD0bFUx6hanDB5tsi274fqL0cLiQ5riP7CnBuqPh14DzJhCVo7TXEzv52wCYp+jG0T2FTQnd1Rb/z/WBC1UspCIlNTV0Hp0S09roSWtUe65Z2ghg3Qin5MfQ9O25SCFWKpPUVohhOcePmNmCwGDcCgO8Ha30/GA4cGzZu3D5D8Xak5Dz0giCUSMkJ2WsurSi6LzuAi6TzIpSBvqHv4p4kCDWT9qHvX/p+MDpukgjVllixeS4pQTgb37qqk0gQkgcxcPZOBtARu3aFIACgtVcHOAioC2wBfsIudjKU4qO2r1a5cIIgVDcO1tqrJ2ulCWFckpJcbDuyzPeDX51x8yhFi4SuwcZ1CoJQRsTA2ZPPsIGgHd32R1p7g3w/+CKOMgnVAOcb/SRwGVDyMuWWjyVNtCDUWF7CxuLVBpoDn2ntneH7wS/xFUuIN26B8ReAU6PKYx3+mKyDIwj7h8TgROH7wUZgEBDJctMQ+FBr7/z4SSVUE7oDV7Nv4wbgwkqWRRCEaorvBz8Aw0JF3YBvtPYOi5NIQvXhfKKMmxJ4H7inkmURhKRFDJwY+H4wFzgRiKRmzABe0trrEz+phGrA6jIc26HSpBAEodrj+8GrWCNnlys6CHhHa++A+EklVANKm/K5NdCkMgURhGRGDJwS8P3gf0AvYJYrSgPGa+01jp9UQjxx7iXnAh8Ci7D+0b8A32EX7wszRmsvtUoFFAShWuH7wfPYhR03uqLmwLj4SSRUA17HLiIeYNuP9cBcbKxvYei4Q4C7q1w6QUgSZB2cfaC11xJYHCryJLZCiIXWXmfgS6CeKxrs+8F/4iiSUIVo7e1+mco6OEIYrb2zgDfc5jbfD2rHUx6h+uLc4SNG8E6gte8Hy+IokiAkJDKDs2/qx1sAITFw6xmMCRX1LelYQRBqFE3jLYCQGPh+8Ap2dgcgHegdR3EEIWERA2cvaO15wHuhornAvDiJIyQGC0LfZYE2QajhaO1dik39G+GteMkiJAzhdkRm+wRhP5A00SXgXArGAVmuaDNwtu8Hm0o+SxA4MfS9LEkJBEFIIlxaeQ3cHiqeCQyPj0RCIqC1l0Hx2f818ZJFEBIZMXBioLV3NDAeOz0MdiXhs30/mB0/qYTqgsuC1JqihT6/B3YANwBnhw4dW/XSCYJQTbiB4sbND8BA3w+2xEkeoRqhtdcG67pYF1iGTWhUC+vmfKA7bDmy0Kcg7Bdi4EShtdcUmECRcbMA2yjNjZ9UQnXAjci+Cgxm3+6db7uYHEEQahhae/2A+0NF7wHnunXWhBqM1l5zbB+jVykOf9j3g+2VLJIgJCVi4OzJERQFhBrgBN8PFu/leKHm4AFDSnnsJZUpiCAI1ZrTgEia+HnAWdJRFRznUTrj5i3g75Usi1DJaO3lHXhgx1YNGjRvNWTI3z6t6PrHj7+t37p1SxctXz5nke8HeWU939M6r+OBB7Zq3qBBq78NGVLh8t02fny/pevWLZqzfPmiwPfLLF95EANn7xQCEnMjRPgFqxOlSc5xNDCpcsURBCEB2IJN9ysIYNdQKw09sK7QC/Z1oFCt8Zcvn8Py5XMAjqvoymfN+jBcb95+VOHPWb6cOcuXh+upMD6cNStcb15F1783JIvanszCJhQAOwL3tizuKQD4frACOBV4DRt3Mx+YDvwbm9azIHT4k1p76XtUIghCTWBK6HsP4AmtPRlQFMDOzAwF3gdmAD8Dk7HtSDhLawvgnqoWThCSBXnhRuH7wQKtvaHYlw3AUcA3Wnun+X4gKaJrOL4ffAB8EGuf1l5r4H9AY6Al1p3t5aqTThCE6oDvBxO09h4GRrmiq4GDtfbOkzicmo3vBzuB/+c+e6C1dxrwjtscorV3m+8Hi6pIPEFIGmQGJwa+H0zANkyRlcnbAp+6BASCEBPfD36m+EKfskCbINRcbqFoRXqws7+vy0yOsDd8P5gEfO02U7Cxn4IglBExcErA94NHsNmytrmiA4HxLke9IJTE0tD3rBKPEgQhqXEj9RcBd4eK+wP3xUciIYGQdkQQyokYOHvB94PXgbNCRX2ArnESR0gMTgt9XxE3KQRBiDu+HxjfD26nuJEzMl7yCNUfrb0srCEcYWW8ZBGEREamyvfNt/EWQKj+uJm9O4ABrsgAL8ZPIkEQqhHvAX+NtxBC9UZrryHwEtDIFS0BPomfRIKQuIiBsxe09uoB/wkVbUFG5Ws8WnspQF9gO9AMm4jid9jEAhHG+37wU1XK5WndAOgM7AA2Aj8Fvl+w97MEQahMtPYOpXiykSp9LwjVE629bGzbsRk4FLu0wLlA3dBhDzhXxyrD07o50Abb31kd+L6sAygkJMln4Hie2fdBpWNYA3jhaCh0jnxDAup0Ws5SJsY/5m9OvXq826wZo2bNQlXGBYKgUqqNCxWoE9tT4eymMPkQWFU39jHtfoMhAecy0Tu3oq5bEsuysni5TRv+l5sLdYsL1HTrVj4+/XT6r6hAm1z0omTOqMS6KwDvjCIBg4kTK7Zy0YsSObkNvN/Zfs/cCVd+wWFMrB76MalZM3akpjJoyZLKuYDoRUw2ZcLJzeDzQyC/hKjeY+fB8XN5lIneoxV13ZKY0aABr7RuzbSGDSGreMjPpTfcgP/997TdvLmEs/eDmqQXZ+x1b8WyPzp6RhUKuC/5Klgvks/AqUBarIMzp8MbPeCE2dBpebwlssyvW5erjj6arWlp1Nm1i6vmSfbqqmBnKjx0EmwvYXWb2tvhqIVw1AJIreTuiwGe6NiRF9u2pSAldijdAfn5FKrkaUcEIRHpvRBWZ8MPzWBIAI22xFsiyzvNm+P36EFqYSFNt22j96pV8RapRrCkATx/DJQ0Mpm7CY6bC52roL+xOS2N23v04IumsRPEphUW0jg/nx2pqZUvjCBUMGLg7INuS6HpBmiyKd6SWDamp3PTEUewNc0+unGtWzNk0SIa7NgRZ8mSn/QCuORr+L4lrK0DO9JsWfN19tN6NWRUgUOYAe7s1o2JLVsWK08tLKTtJquoV82dS7+VEpsqCPFGAaf9YA2d3AocBC8Pc+rV497DDgOgICWF/2vfniNXraocbwChGM3XwfnfwsxmsDkTtqdBTr4tb7EWWq4t0fapUDakp3Nd797Mrl+/WHnWrl20du3I3d9/T8st1cQiF4QyknwGTiVMfTap6ArLQX+tRwEPuc3tmzIyejX46qsZ8ZSp2lOBOtHMfeLJEVoPACaFir4E7i5ISfn85Qcf3Argaa0C368WbjDVlgp+V/glblQTtC7Sh2RyEaloKuHepAK5FV1pObhY6wnAOW5z3oyGDY9UQbA+njJVeypIL1KADu4TT07Q+j7gtlDRS8A/t6WlTXvx4Yd3gbQjpWJfeqGr0B11f3Q03C5UNlXc7iSfgZP8hP2R5ge+L8ZNzeOm0PfXgIsC398VPkAaJUEQ9kK4Hfk48H0xbmoQntbZwIhQ0ajA9x+JPk7aESGRkXVwEo+wo3RnT+tr4yaJUOV4WivsekwRbos2bgRBEPZBuB25xNP6qLhJIsSDzkA9930Z8FgcZRGESkEMnMRjLPB6aPtxT+vRntbyLGsGKUA4704lpT8SBCGJuRVY4L7XAT7xtK70rI9CtSGcKm2JLCcgJCPSKU4w3JTxZcDUUPEtwDNudF9IYlxDtDZUdEq8ZBEEITEJfH8dMAhY7YoygVc9rYfFTyqhCgnP4B3uaX1A3CQRhEpCYnASkMD3N3la98MuHhdJYj4M+B6Zaq4JvAiMct+f8bQ+HZgGHAx0pWihz+8D38+Pj4iCIFRnAt+f6WndG3iHopj3Jz2tfwx8f0ocRRMqn1nAd8DhWON2gqf1YGAN0InQQp/AdInFERIRmcFJUALf3wycjc18EuEhFzwoJDcPAdvd94OwDVUh8DPwFvBf4CvgV0/rS+IioSAI1Z7A9xcARwEzXVEGsEewuZBcOIPlvlBRH2AlsAuYAbwBfIAdNP3J0/rwKhdSEMqJzOAkMIHvF3haXw9EOrFp2IykQhIT+P4SN2vzwT4ObQD8keJGsCAIwm4C31/naf0URbP/WXs7XkgOAt//t2dTRf9pH4e2BS7HDqQJ5UBrL94i7BVP63iLUKHIDE4C42mdBjwZKtqJHYERkhhP61SgtNnz5lWmLIIgJDae1rnAyFDR1njJIlQdntZNKVoLaV9IOyIkHDKDk6B4Wudg10AJB5n/PvB9WXY4+TkT654YYRF2sc80oAvWfW0jdoZnTFULJwhCYuBp3QEbg9PWFeVT3NgRkpdbKb7e6HTsLM0B2BiczdiYnPHAuCqXThDKiRg4CYindT3gc+CwUPFTwP/FRyKhigkv9PkccIUEgQqCUBY8rbsBn2BdWQEMcGXg++KKlOR4WtcHrgwVDQt8//l4yZPM+H5QrbPbBr5freUrD+KilmC49W7GUty4uQu4Vjq5yY9LBX5EqMiX5y4IQlnwtG6EDSSPGDfbgHMC3x8bP6mEKqQjdv0jgMXAC/ETRRAqB5nBSTwuAU4PbV8Z+P6z8RJGqHJSgPTQ9op4CSIIQsIyGmjlvm8CTgh8/9v4iSNUMZmh7ytkkExIRmQGJ/FoFPr+oxg3NQu30OdvoaIz4yWLIAgJS7gd+ZcYNzWO8MDY4Z7WzeImiSBUEjKDk3gUhL4f4ml9uPhM1zjGUJTa8xlP63XAF1i3xfBCn18Gvr8+PiIKglCNCbcjJ3laNwx8f23cpBGqlMD353pafwkcg/UIeNvT+hzs4JlH8YU+vwh8f2fchBWE/URmcBKPFyhK2ZgBfOppfUrJhwtJyKPYDDcADYGPsSnCp2L142XgbWC5p/WIeAgoCEK15i5s3A3YDGpfe1q33cvxQvJxb+h7d2Ahtl35FJu85lXgI2Cpp/VRVS6dIJQTMXASjMD3NwCDsCP0AHWBdzytL42fVEJVEvj+cuDUUhxaCxADRxCEYgS+Px0YHipqD3wjK9bXHALfnwTcUYpDDwAurmRxBKHCEQMnAQl8fzZwLPCLK0oFnvW0Pjp+UglVhVvgtbRLDs+oTFkEQUhMAt8fB5yHXTcLoDHwhlv4U0hyPK1bAleU8nBpR4SEQwycBCXw/RnAkcAPrigdmOBpnVnyWUKSMAQ4IbT9GXAn8AQwGetW8DpwLbJonyAIJRD4/mvA8cAGV9QCWU+tpvAnoKX7vhOYANwOvAR8BbyPXeDzHKzLmiAkFJJkIIEJfH+5p/UZ2JXsAZpi3ZK2l3iSkAzcGPr+CHCDpPkUBGF/CHz/a0/ru4C/u6I28ZRHqHzcOkhDQ0UXBL4/IU7iCEKlIDM4ic8Z8RZAqDrcQp/dQ0X3iXEjCML+4haPPjbecghVSnvsYCjAfOA/cZQlYVBKHaWU+q9SaoNSarNSaqpS6rJqINcipZTESUUhMzgJiuvo/hG4P1T8AkXJB4TkJIXi/7fr4iWIIAiJjad1LWA8xRePfjhO4ghVR3ix6HWxBsk8rTsDBYHvz6k6saovSqmTgbeA+4CLsFkITweeVkq1Mcb4lXDNdGNMlaTorsprVRUygxMnlFI/KqXO259z3Yjbk8ADgHLFU4FrZTS/dCilWroRmIPiLUtZcAt9/vrT2LGsmDwZbDyOkEDsa7RNKfVnpdTE0PanSqm/hrY3K6VKnbbV0zolOl24p3X9ssotVC5x0ItcYA7FjZtnA99/voyi11iqSzsSrQsx9l+klJoe2Z42evT1i958M7LZMyUtbV6kP+JpXcu5LH4PTPe0vkNiewF4HBhnjNHGmDXGmK3GmNeAG4C/KKVaKaVeUEr9Syn1klJqo1JqgVJqaLgSpdSxSqnJSqm1bv8flVLK7eunlNqllLpEKbUQWOvKr1dKzVFKbVJKLVFK3aeUSnX7JmJjqZ51uvi+K6+tlHpEKfWLUmq1UuoNpVTLkByfKqUeduUbsQPmSUXcDRx3k7e7B7NBKTVNKTUkar9RSvWNOm9+DMVRSql5TrGyo/b1U0rtqtQfEwOn9EYp1TxcbozpbIx5dT+r/TNwdWh7MnBK4PvbSji+WhHjmX+vlBpcjvrylFIfluUcY8wSY0y2MebXUl4j5nOsCtx1+4SKnj7k4otp2qcPwNOe1ud4Wud4Wp/oaX2Dp/VIT+tLPK2rXNbKJqQ7m5zuLHSNSc+oY8r9znD7RyilZrr965RSQXhgYl+d0v3BGHOvMaZE11Ont1+76+/1veZp3QX7fngiatdsT+shbiY4KaiqtsTtT3S9OBJYABwctetET+vSpKCPO4nYjrjrDHH6st59flBK/T60f6/Gyv5gjPmXMaZbZLtg27ZNBdu2RWROOfz22+mZlzfb0/qc7WvXLp6al/fXHRs2pGPX2tPANE/rGuvGqJRqD7QDxsbY/TJ2oPkkt30u8B52jbprgCeVUke7ejoDk7CD07nAQOA64JJQfanAAKAH0MSVLXVlOcBZwDBcBjz3TlgCXOF08WR3zkNAb/c5GLto68SIYeQYBvwTqOf+JhVxN3AcdxljsoFGuIUKlVLtQvvXAH9XSu2rMT4eGyBZCFxQGYLGG0/rAdiMWRHmA/8Drva07p1AHZbwMx8HvOpeIrtxnQxxo9yTJ7D/EwB1sNlvNgAfAA8CjwEvAks8rd/xtD48gfSiNNxljKlrjKmH/Z9fDHyjlDo7dEy53xlKqQsAH7teSD3gIOxoXbV3C3SjsHdjR2Fjjeo3BV4D3nLpYpOFSm9LElwv6npaPwJ8jV1DLZpWwLue1i97WjeJsb+6kVDtiOvoPgf8FSvzAdhg/2VVLcu2lSunYfUb4BBgOjABpQ6IcXhH4HNP66dr6OxvJHX6Hs/JGLMDazxE7ts3xpixxphdxpgPsO3zULdvBDDeGPOmMabAGDMH215Hr2N4mzFmgzFmq7vGBGPMz8byPTbT3QmUgFIqxdX5V2PMMmPMFmAUcCjQK3Tov40xH7t6t5b2ZiQK1cXAAcAYswt4BhtjEA6kfgZozr6NlquB/2If/tX7OLYYSqnjlFJT3EjQHKXU1VH7D1M2uGyVslOLH4T2Pa/sNOAmpdQspdSFoVMj08Jz3UjT7e6cYiN8e7t+ep06JyulCloMGPD1D488Mun7++5TC197jYLt28GOKtwI3INttBZ6Wv/N07pbInRq3TN/Ajtq0dWNsF6vlAqArYCnlEpTSt3hRuvXKqU+Ukp1AXCjpn8G+rn7u1kp1cbt29tUcLEZGTd695FS6l6l1G/uU9q1ZiL68bEbzV2olPpreKTEXW+8Umq5G7X7UinVyO27152z2ck5KnReRH/ed/ufDXx/9bS//W3x8s8+2339rStWMO+FF5j2t7/xw8MPs/yzzzCFhQo4bfu6dVOn5uUVNj322NdT0tLmOz19Xyl1YNmfWPXCGLPYGPNXrEH3aKjjWhHvjKOBz40xU1wDsM0Y84UxJuICUJJrwPlKqenKju4vV0o9rZSqE1V3G6ebm91o7hGRHWofI8lOb/so6xbzLpAa0v3LMurV+2TxW28tB/6Ci9daO20aS555hnsHD6ZxdrEJidOBWZ7WozytU/e4WIJSyW1JQupFZsOGXyyeOPFX4A841+b106ez9NlnuePMM6mXlRWu7gLsLN9waUcqtB05CphtjPmv6+DuMMZMNcb8x53/GDbhw+1Ohrmu/ARl+wfrlO2DvKL2NEQaK6Xeduf9qJQaENmhlBqqlJofPnj7unXL3W/mh4ceYs1029TMeuopAOY9+SQzR49m9eTJLP3gA+aPGwdwFVYvzlUpKf2V7a9E63Ayssr9bRa9QymVgV1DKnLMoqhDFmHfOQCtgQtU0ezdeuxgSbgtLqRojcPINS5QSn2rlFqjlNqAXf5hb+tV5WKTSCyMFBhjNgO/YVPBh2VLWqqVgeMUJeIrPi+0awt2xd17lVIxfUGVUrnAIOzoyBigpwq5rezjuq2xjdlT2FGVocB9yrk3uI7gZ+7TCjv6OTpUxWRsI1ofO7vyglKqk9sXmRbu4KYP7yrL9T2tT209ePArQMq2lSt7d7rmGrr8/vdsXbGC36ZMifVzWgG3AtOASdV9FM4985HYPPyRzvxw7AJ02dgR6JuxoxGnYV8EXwAfKKVynJvfvcCn7v5mG2MWqtJNBUfTFzvVexA2O92flVLHlOI31MPOnnyC1Y2B2KnfG93+2sDH2JdLR+zL8CZgh6tiFtAHO6J6JfbZnwIQcis42f22KzytM2s1bnxo5PoF+fn89NJL1G3dmsNuuol2F13E6u+/Z+XXXxeTM3/lykGH3Xhj28Nuvvl9UlJyKD4TmOi8gm18OrjtinhnfA6cqZS623Uwio1c7sU1YANwIfZ9cKz7RLucXANcj3Vj+DcwSSmVU5Yf7NxiBgAFxpjsnnl5B/fMy+vXatCgfutmz65fuMt6KHVr0YL6S5dy43XXcXKXLvx75EiGeB6hXmsdrDvDN57WPcoiQ3WlktuSRNOL9j3z8s44+Iwz+qybNSs7ohdHtW1L/aVLGTVyJGf26MG/R45kwGGHhatqADwLfOJp3WGPC1UjEqgd+RI4XNnYiAHRRoox5jon111Ohsh93+6umwt0dXU/EnXd4a6svvstryulWpUkZGaDBgcSow248h//AGD+Tz+Rv3UrUyZMYOCQIWz86Sd2btoEto17NadNm5dSs7ImutmBZOcnrLFwYYx95wMG2wcA2wcL0wrrYgbW2+A5Y0z90CfHGNM5dLwxxuyOpVZKtcC6xt0NHOg8Fx6H8Ct890xchFVYnWkdqicbO8v0y17OSyqqi4HzF2fJbsM+xCuMMdEr5z4PbMK+/GNxObYBmWiMmYZ9oV1VyutfAHxnjHneTSt+AzxN0Sq/lwDzjTH3GWO2uFGX3SNpxpgxxgadFRhjXsGu+tuvlNcu8fq1cnNHA++qlJQGAM1OPJHUzEwObdOGPiecwIG7dnHLgAFcd8IJnNG9O3Vr1Yqu91RskOA+O+lxIPLMl2J9SgcbYyIjTH83xixw93M79tmONsbMcdt3AgXYxqYkSjsVHGaeMeYp9wymYI1ErxS/ZSDWWLnbGLPdGDMbawBH9Od0IAu43k077zLGfG2M2QTgprN/daPBHwPvUML0s6e/5PI5AAAgAElEQVR1OvCuSk3dPdy6Yd48VGoq/c8/nyuOP54/X3QRl159NbvmzGFA165kZWQAcGC/fqTVqUN6nTrnNDvxxHYp6el9Yl0jQYk0II1CZeV6ZxhjxgO/Azph/azXKKU+iYz6loQx5l1jzI/GmEKn00+w5/Mc40Zud2B1JZKRZ7/wtL4IGzA+tG7r1qRlZZE/fz5/GjiQG3v3Zub06QwdOhSA7Fq1uHXgQJ4dNow2ucUGAT3gW0/r+z2tE3VUttLbkgTTi2uA2cDgiF7sXLiQu885hxGHH86MadN260WDOnW46+yzeezii2nWoEG4muOAGZ7Wt3taZ+yvLJVEQrUjrm0/DjvI9X/ACjdTt9f4FmPMZGPMt67OFdjsqdG684Yx5gN3zL+AgBgdck/rtNrNmnXObtVqADbGBoB6WVn84/zzuW1g8dvRJCeHMddfT49evcifPRuAXdu2sWnx4oMOufjic5Jt9jcWzuC4DrhYWe+MhkqpLKXU77BZB0cbY352h/d2My6pSqn+wGCshwHY//nzlVJnKKXS3axiJ6XUcXu5fDa2r74K2KmU6s2eBvYKrJthRN5Cd827lFIHuUHWf2DbiP+V41YkFNXFwLnHGFMf+08/CegffYAxpgC4BTsaEu7E4KaLrwTGmqI0d2OAC1WMANEYtCA0ledYQNFUXiuKjwKGr52ilLpTKTXXTdeux87a7G36cJ/Xb9qnz5EYU2R9p6QwYsAAXh0xgldGjKBPp07UT0/n3F69GNqnD/5ZZ/H+TTfx0AUXcHKXYu1sE+AjT+tSZ9epIu5xoxcHGGOONsZMDO1bFHVssfvj/nkXUXyqNZrSTAVHszxqewux/dSjaQEsCo+6sKf+LDTWjWIPlFJ/UDbQdJ2T8wxi6I9zFXkJGx8AQNN69Tg8N5funTrx0lVXcW3//lx01FGcd+KJbFy9mrvOOYeXrrwSgGO77Y4xJS0rq1FadnYHlwo0GYi4AERikyrknWGMedsYc44xpgnQGTtS93bERSUWSqmTlFJfOFeSjdiOavTzXBS6hsGO+JY5KUROu3YHYv2tx2LfnyilOOq008hdsYLBnsdzY8Zw+umn07Rp02LndmvRgn9dfTUjjj+ejNTd/ZNU7Ej3TE/rU8oqTzWgStqS6q4XDTp1aoV1kX0SG5iMUoq+Z5xBo+XLObVrV8aUoBe927bl1REjuOyYY0gt+jkZWIPg+2o2YJZw7Ygx5ktjzEXGmBbY4O/5WN0pMbZFKdVTKfWeUmqF051x7EV3QtvFdMfT+gjg26zGjT3cDIAC6mRm8vsTT+S4DiVP1N12440UzJ3LEM9j7YwZ1GrcmDrNmmVhZ3+nJMvsb0kYY97FGpV9sfd2NdYN+CZjzF9Ch76GnSVch313jDTGTHZ1zMQOWIzC6slv2FjBEvuLbsDUB94E1gO3YZ9/mLuxxtc6pdS7ruwGrJH7LfY9ciBwpnv/1Qiqi4EDgDFmHXbU+zSl1Fkx9r+LtT7viNp1AjYWZZh7AazAZv7IJvaUYjS/EJrKc7ShaCpvESHrOIoLnMyDgQaucZ1O0fRhaaYAi13f03o4cHxGvXoAdG7WjBSluOb442l7QKz4P0t6airHtm/PvYMH89jFF9Ogdu3Irkxggqd1oqREjr5nxe6Psh26VhQ9n1j3uDRTwRXFL8DBUZ2baP1prYpnLwHAuS6Mxvr5N3b6M5Hi088Rw+lWrMsFAG2bNOGVa67hnL59WbFsGWH7auHChbRoYdvtzHS75MEdZ53F6CFDqJNpPXOUvcYbntbFhmsTlPOwAaBzw4UV+c5wo7cPYTslkXtWTPecq8wbWJe5lsaYHOxzi+74tgqdo7AxG0spA57WJzft0+f5cN1NcnJ48Pzzee3BB/nfN98wd+5cXnrpJa50Rm406ampDO/bl3EjRtCzVavwrlbAfz2t7yuLTNWFqmxLqqFenJvbq9cz4bKWDRvy1KWX8q8HHmDK11/vUy9qpafz+xNP5KWrrqLTQcWajU7AZE/rREgpW+3bEWPML9j42Rxsm1GSHK8A3wHtne7EiiFrFWN7t+6kZmbmAN8Qiklr36QJz19xBTlZWbvbiZSU2N3CQYMGsXnzZnpnZ5O1eDGHHlds0qEndvZ3WOxfmhy4mbSTnQ7UMcb0MMY8F3XYNmPMJe6Y1tH7nffGCcaYxsaYhsaYXsaYf7t9nxpj9kiIYYy50xiTa4ypZ4wZZIwZZYzpF9o/yRjT1hjTwBgzwJVtMcb83hjTzF3rTGPMotA5/Ywxd1fg7al2VCsDB8AYsxabCepe9wKK5masu0DY4r0K6xfdEfvP2x3ognVFiE4WUCvqk4a1hnsqpS51U4a93Hlj3GljgQ5KqVuVzS2erpSKTA/nALuw04cpSqlhFMXd4MoLKdlAInz9ztdee8DmX37556qpU2nUowcndurEyBNKTJZRIr3btuW54cPDgaMHYheoSkReAG5RSrV3HYVI8PQ7bv8KoKXbF2F/poJLQ2aU/qQ7OWphR4QzlFIdsJ2XiP68g3Vhe0gpVc9NXfdWStXF6k8BVk+MUmog1n8+zIpaubm9gd3xW7l163JSp05k16rFwIEDyc/P595772XHjh3MnTuX0aNHM3z48D2EP6FTJ56+7DIy0na/Q9uxZxxAwqCUaqFsEO9QrAtgrHWg9uudoZQapmxK18jMSHNsjMQs956CKNcA7Eh3LWCdMWabsrF418WQaZhS6nCnPzcDtSnS59LSIT07OxNj2LFuHRcceSSvXXstfTt0IDc3l7POOosLLriArKwsTjll75MxBzdqxFOXXsodZ55JTnFX14Qdla2stiQB9KJzenZ2Gsawa8MGhh97LONGjMBr3brMetG+aVOeHz6cm049laz08NqQxRI3JAovEOd2RCk1SCl1uXIJXpwOjcLOBkQW1FyBfS+HycG6TW5Sdi2T22JUP0jZmLBUZTP9HYE1jOy109IycX2+lJQUOjdrxotXXkmXZsXj5nNzc0lJSeGnn34qVp6ens7QoUO54YYbWLpoEe898USs2d+uZbsjglB5VDsDx/EItkO+h5+rMWY69p/2/7N33/FSVOcfxz/PpQgIgkoREBQsiKhoXLsi1l/UaOxBscUaNYnpiSUZRqOJMUZNorFGjS0qGo2xYcMusgYsCBqliYh0kCJwuc/vjzN7GS63d+Z+36/Xvu7ulDNnZ8/unWdOK1S7dyd0CP2ju89KPwh3xncxs0I/ilaENs3px1+TtpOHE/7hzCM0A/qNh0mcCp02hxLGOZ8BfEm4gAW4GxhDqGb+nHCH69VUfpcDvwYeSKq401WZhW1Kjz/xttumT33ssQ69DjiAXfbfn+jb36ZVBXdUqtJnk0248ri1pgU4JRfHlQVazdU1hCBwFOHcH0jodL84Wf8w4S7crOQc96tNVXA1fcLa5ecJd18EHAocnOTvWUL71z9BuJOS5LkPobPivOQ9tUm2vYdwN3kuoW3/v8oc89JVS5aMGP/737ee9sQTDOrdmz6bbEKhwqhz586MGjWK559/nh49evB///d/nHbaafzkJz8p9w1s17Mn3xqcjsE5v7kPRlHGry2MBLeYcDG6NbC3uz9S3sZ1+M1YAFwATDSzpYTv+ULW7hOxVtMADyPVnA/8wcyWEDqD3l9Otm4lzDuwgFD7dERSjmqkXdeudNttNz69806uGDaMRx96qHTdeeedx7hx4zjzzDMrvCubZmYctcsujDj66JpmozlriP8l60+5+PvfufjYY3nogTUtWmpaLloVFTFsjz342WFl77usd5rD/5F5hMmZxyVl54MkrUN8zTC91xFGfVtoZhOSZecSaiS/Ah5N8lrWHYSBbRYRaiaPdfeyTe8BGNizJ9v06EHrVus0KqB9+/ZcccUVnHTSSXTp0oUrr7yydN0555zD+PHjOfHEE+m6ySacNWQI5x1wwDppiDQHVv4NT2kquTieTFKNftVxx5XtT1Mr37/3Xt769NPCy0vzUXRVnROVRpN04JxHmHODv512Grv1K9uismbcnVNvu41JX5Q2Fz83H0W3VbaPNC+5OP4ByeRsJ+62G784/PC11k+ZMoVtttmGKVOmlDZXrI43PvmEH953X+Hls/koWi8mfpQgF8cxSdO7c/ffn3OHDl1rfW3LxZPvvkv02GOFl/fmo6iykcSkmcnF8U0kIwv+8vDDOWG33arYY11Lly6lR48ejBo1ir333huA+958k+tGjSpscn0+in5cT1kWqZPmWoPTIiUzz/cD2KB1aw4YOLCKParnm2sHSUMq2k6arR1JgpuuHTuSW7uvRK2YmcpFhhUXF3P11VdzzDHH1OgiVrJN5UJqy925/vrrGThwYGlwI9KcNYvZfaXUVoUn2/ToQZtyqo9rY+DanUS3qmg7abZKP7OBvXqVNk2rK5WLbMrn8+y///7079+f//znP02dHWkmVC6ktmbPnk3//v3p3r07Dz9cXus4keZHAU7zUlqjVl/BTTlpqdZu/VP6mZXXZrq2ypSLTM9j0JLkcjmWLm0Jc+9JTahcSG11796dJUuWNHU2RGpEF7vNS2mHiMlz5lBST/2jPpk9u9xjyHqj9DP7dO3Psk7KlIuZ9ZawiIiISBNSgNO8fEQYSYtFy5czfvr0ekn0lY/WmhrktXpJVBpTnjDMNNPnzWPKnDn1kujLKhciIiKSQQpwmpF8FDlhkkcAbh09us61OFPnzuXp995LL3qiom2lecpH0deEoU0BuGX06Dqn+f6MGby+Zp4Dp+ZzbYiIiIg0Swpwmp/fkcxknJ86lb+/8kqtE1q6YgW/eOghVq8Jkl7MR9Hrdc+iNIHSGYef//BDRubztU5owdKlXDJyZHrRw/komlTR9iIiIiLrEwU4zUw+iv4HXF94ffPo0dz80kusLimpUTqzFi3i/H/8g8lrmjOtIMyMLeuhfBSNIUwICsAfnnqKe998k5rOYzV17lzOu/tuvlhUOnfgYuCyesuoiIiISBPTKGrN06+AXYADAG5/5RXemTqV0/fZhz222qrSEdbmLlnCqA8+4LaXX+arr79OrzovH0X/bdBcS0M7DxgEfKPEnetHjeLtyZMZvtde7LrllrSuZFbyWYsW8fR773HHq6/y9apVhcUOnJIE1SIiIiKZoACnGcpH0apcHB8DjAQOBhg3fTrjpk9no3btOHDgQPbddlu6dOhAm1atWL5yJdPmzeP5Dz/knalTy/bbWQ38MB9FdzfBW5F6lI+i5bk4/iahH9UeEGadf+OTT9hkww05aPvt2XvrrenUrh1tWrVi2cqVfDp7Ns9NmMC7n31WNrkVwHfzUaQ+WRmwYNkyPp41q17S+nzBgnpJR5revCVL6q1czFpT6yvrudmLF9dbuZjz1Vf1ko5IfVOA00zlo2hRcjF7CTCCpDnh4q+/5rFx43hs3LjqJDMNODkfRW80WEalUeWjaE4ujocAVwE/LSyfv3QpD48dy8Njx1YnmYnAsHwUvVfllrJeeG7CBJ6bMKGpsyHNzCPvvMMj77zT1NmQZubO117jztc0cKZkm/rgNGP5KFqdj6IrgMHA1YSApSoOjCY0Zxqs4CZ78lG0Mh9FPwNywA1Ub26j1cCzwBlATsGNiIiIZJXVtJOyiIiIiIhIc6UaHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZrRu6gyIiIiIiLR0cZzzwvMoyltT5qU8uTguzV8+ippd/tJUgyMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSG+uCINJE4zvUF/gicAHSLovzcJs7SWnJxPAj4J7AD0DYfRauaOEsiIiIiVVKAI9KI4ji3IXAscAZwYGrVnDjOtY+i/NdNkrFELo43AU4CzgJ2Sa16JxfHu+SjaHXT5ExERESkehTgpMRxriOQA7YHBgHdgDbAKuALYALwIZBvigvR5OIzl+RtILAx4TNcAXyW5G8CMC4fRcWNnb+siuNcZ9ac9+2BTQnnfSUwg1AmJgDvRFG+3FqOOM4VAbcAw4COFRzqfOC6muYvF8fdgV1ZUy46E5qfrgCmJvn7AHg3H0UlFaTRBbgNOApoW84mOwIHAM/XNH8iIiIijanFBzhxnGsNHEm48DwSaF+N3RbHce5fwAPAqCjKe1U71FYujtsTmjANAw6hep/Z7FwcPwzcm4+itxoqb1kWx7m2hJqWk4BvUv5Ff1nz4zg3ErgfeCVdLqIoX3LFFXv0KylZXVFwA3BTdfOXi+NOhDIxDBhK9frTfZ6L4weBe/JRNL7MusVFZrkS94re5zTghermT0RERKSpmHuDXZs3a3GcM+Aw4A+EO9+1NQb4WRTlX6uXjCVycVwEnAJcCWxeh6SeBH6Rj6IP6yVjGZeUi+OB3wP965DUi8DPoyj/X4AFCz7f/Y47vvvm0qXzKwpEhkdR/v6qEs3FcRvgbCAm1DDW1kPAxfkomgww6Ysvjjvl1ltHVrL9HvkoersOx1uvmFmT/DC6e/XmFcjlGj9/+eY3J4OISJZoHpz60yJrcOI4tzFwF6E5zlq6du1H797b061bfzp33oxWrdpQXLyShQtnMmfOZGbMeJ8FCz5P77IH8Goc5+4CLoyi/LK65i8Xx1sQLkB3L7tuYM+eDNhsM/p37063Tp1oVVTE16tW8dn8+UyeM4fx06czb8mS9C5HAIfl4vj3wG/Uh6JicZzrSah9GVp2XY8e29Kz53Z069afjTbqTqtWrVm1agULFsxgzpzJfPbZeyxe/GV6lwOBd+I49+dDD/3xh+PHP3FTJcHNOEJn/krl4nggoVzskF5uwA6bb862PXrQr1s3unbsiJmxfNUqps+bx5Q5c/jvtGksWr48vduJwDG5OL7sBwcf3OXhsWMvruTQI1tScCMiIiLrtxYX4MRxbmvgaWDrwrK2bTuw224nstNOh9G9+1aV7u/ufPHFRN5990neeedRVq8u7XJxBrBTHOeOiKL8rNrmLxfHewL/IfTzAGCTDTfk5D335NAddqBXly6V7r+6pIRx06bx+PjxPPPeeyShdhFwCbBzLo6/k4+iJZWl0RLFcW4w8BTQq7CsXbuN2GOPYey44zfZdNO+le7vXsJnn73H+PFPMH78f3APcWSvXoN++OKLN1JcvDK9+TPAZsDOyetfRlG+3L4xBbk4PhQYCXQqLOux0UYM32svDhk0iG6dOlW8M1C8ejVvT5nCv/77X16aOLGwuM3gPn2uvvGFFyhZuyb3UWAnwnekmFB2RERERNYLLaqJWnKHPk/qIvYb3ziGAw74Hh07blrxjhVYuHAmzz//FyZMeC69eCKwZxTlF9c0vVwc7wS8CXQAaFVUxOn77MPp++zDhhtsUOP8fTxrFtc++yzvTJ2aXvwC8E0NQrBGEvSOBboAmBWxxx4nMWTIWbRvv1GN05s7dypPPvl7Fi2axYIFM9KrvgZ+xpq+NocCR0RR/oeVpZeL4/0ITd5aA2zQujXn7L8/w/bYg3Zt2tQ4f+999hlXPfkkS7/+mi8WLUqvWgCck4+iR5ImkicB/fJR9NsaH2Q9l26i1tC/kWZravlr1UQtn6/3PKWOs+a5mqiJiDQoNVGrPy2mBieOcxsAj5AEN61bb8Axx1zO9tsfVOs0u3TpxfHH/44tt8zx1FN/KNy1Hwj8I45zx1Z1Vz4tF8ebAo+RBDddOnTg2mHDGNynT63zt+1mm3HTqady80svcedrpV2EDgKuBn5a64QzJI5znQjnvQvABhtsyAknXM1WW+1Z6zQLzRmXLp1fdtVTwE2pwQeeTR4VysVxH0LNTWsItTbXnXQS2262Wa3y5u5MnTuXz+fPZ/mqdQZ8uzkfRY8AJKOt3Verg2RUOhCpqwYJmtLBSF01ZNAkIiLSwKoz8lJWXAbsBeEO/bBh19YpuEnL5Y7j6KOj9KJvA9+rYTI3Av0AOrRtyy2nn16n4KagVVERFx50EOcMGZJe/JNcHB9S58Sz4RqSQSZatWrLqafeWOvgprh4Bc88cy333ffD8oIbCKOyHV/DZO8EugNs3KEDt3/3u7UObhYvX87FI0dy+b//XRrclLlo/1Uujr9Rq8RFREREmokWEeDEcW5T4EeF1wcd9P063aEvz047Hc6ee56cXnRJUmtUpVwc7wB8p/D68mOOYavu3es1f+cMHcqQAQPSi+JcHDfr6sWGFse5LQkTWgLwrW9dTO/eO1S8QyVmz/6E2247nTFjHihdtuGGm3LyyTew006HpTcdkcyJU6VcHO9PqHGjlRm/O+EEelbRB6si+alTOenmm3n+wzWD6W2x6abceeaZ7NK3tH+RAVF5+4uIiIisL1pKE7WLSCZX7NatP3vvfUqDHOTAAy/ggw+eZcmSeQC9CQMP3FKNXS8tPBkyYABDt9uu3vNWZMYvDz+cNz/5hFWrV0OozTqQlj23yS9JvgNbbPENBg/+Vo0TcHfefvtBnnvuz6xevWYggW233Y+jjvoNG264Mb17D2LSpFdYuXIphIlCjyE0l6zKZYUnRwweTG7LLWucv1WrV3PLSy9x9+uvk24Udeyuu/LjQw+lfdu2/PKIIzjpb38rrD8qF8eD81H0bo0P1oLUpolZfTZxq1JtmpjVZxO39Vi6DXxTqY+29+m28nWRj+p0z6PF3URrJuWnRtvn4rhejtvc+2RIy9IianAIE3gCsN9+Z2LWMG+7TZt27LXXqeUetyK5OG4FHF54fdZ++zVAzoIeG23EUTvvnF5UZf6yKpnvpky5qNlv85Il87j//ot45pk/lgY3rVtvwOGH/4phw/7EhhtuDECHDl3YbbcT0rtWp1x0BA6AcIVw5tpNDKtl2rx5nHnHHdyVCm46t2/PH7/zHS751rdo3zbM6bl19+4cMHBgeteaR3oiIiIizUTmA5w4znUGBkPoe7Pttvs26PEGDFjrQnTfOM61qmKXnYCNALp27Mj2vXpVsXndlGmm1nDRVPO3JaGWjbZtO9CvX83uXn/88Wv87W/D+OSTN0qX9eixLeeeew+77Xb8OsFSmXJRnfO+F9AKYOsePdh8442rnTd357H//pfht9zCxC++KF2+e//+/PP888utIVS5EBERkaxoCU3UdiSpJu/RY2s22KBjgx5sk036sOGGmxQ6mXcGtgAmV7JLaZXK4L59G7wZS5mBC3bOxbHlo6jJq9SbQOl533zzHSgqqv5XYfLkt3nggR+ttWzPPYdz0EEX0rp123L36dVrIK1atSnMm9Q/jnMbVTGU+JpyUcPBJh595x1+9+STpa9bFxXx/YMO4uS99qKogvK189rH2KVGBxTJkJo272mu6ti0TGppfSw/KiuSRdkLcHJrt38d3g3uS8YT6NCh+nfBa8vM6NChS+koWt8bzac8UXHtwM+33JJrdtwRCKNkNbSO7drRplWrQj+coteefLKEJ55Yd8MszXmRW7dN9DG94V/JeGE1LRf9+uXo1293pkx5m44dN+Xoo+MqB61o1aoN7dp1Ki0XPxnFosrKxTnbbsttSa1KTcvF4TvtxP1vvcW0efPYsmtXrjzuOAZUMfLaxhtuWPq8fXFx9/LOGZD5ctHkmmOeCirLW5bKRXNQH+VAQ33Xr+p+Ji35vFf/HGXn96K+f7PTDdib4/+DI1MZrO/81XO5yF6AU0ar1Ew0q1Z93SjHXLVqRbnHL0+bkjUbfL3uvCT1rnj1aopDcLPO8VuSupQLsyKOPnoEL754I4ce+mM6dKh6ZDN3X6tctG7ActG+bVuuPO44Hh83josOOaRak4Gmj9FSy4SIiIhkQ+YDnI2XrXn+5Zf/o6SkuEbNkWpq2bKFLFz4OQBFJdC5imvn3svWZDDdX6KhTJo1q7TDec9ly6iqg1BWpcvFF19Mwt1r1Dxwo426c/TR1R95Zv786YVR1Gi3EtpVEbPUtVxs17Mn2/XsWe3tJ86cWfp889SxRURERNY32QtwylRxdQGIc9OAvitXLmPGjA/o23fncnetD1OmrKmeLinizTZj8ntXtv2FcbwhsBBo/ens2cxdsoSuHRuun9DYyWu6A33RocM95POnNdjBmotyqj1vi3OtgQVAx8WLv2T+/OlsuukWDZaFyZPHlj7/ui1PWD5/VGXbXxrHvYEZAO/PmMGylSvp0Lb8/j314e0pU0qff9ily5/I53/aYAdrLiqrDjdrmqYB1a2ib4qmC1lqVtLc1c+5bn7NW9Zn1f9MWu55b4m/EfX9ntPDjDfH85kefr455i8lewFO+V4kzEnDm2/e22ABjrvz5pv3pBe9VNU++ShamovjMcA+APe9+SYXHXJIg+RvRXExD779do3yl1VRlC+O49zLwBEAb7xxL0ceeWkVe9VOSUkxb711f3pRdcrF57k4/ggYsKK4mIfHjuX0ffZpkPwtWr6cx8eNq1H+RGRdcVw/cwnVR0f1+prbpC5aYuf1pioD+rxF1pb5YaIT1xWeTCnjeGIAACAASURBVJo0mmnTxlW2ba19+OHzfP75hMLLFcCN1dz12sKTh8eOZcb8+fWdNQDufeMN5i5ZUnj5BfBAgxxo/VF63seP/zdffvlJgxwkn3+U+fOnF14uBP5ezV1L8/eP119Pf3b16vaXX2bpitL+QROBpxvkQCIiIiKNoEUEOFGUf4/UzPEPP/wrFi+eXa/HmDNnMv/+9xXpRbdGUX5mRduX8TjwLoTO3j978EGWr1xZr/l769NPuWX06PSi3+WjqHFGXWi+RgOvAJSUrObBB3/G8uWVjdxcczNmvM+oUdelF/0pivKLqrn73cA0CLUsv3zoocLod/XmuQkTeGDMmPSiy/NRVL8HySAzq/GjUeVyNX+IiIhkhLm3jOaicZzbAsgDXQG6devP8OF/pnPnyofPrY45c6Zw330/YNGiWYVFU4Ddoig/r7pp5OJ4d+BVoC3Abv36cc2JJ9KxXbs65++dqVP56T//yZI1d+nfAA7IR1H9RlHroTjODQLGABsCbL75jpx00nXVGhmtKjNnfsh9913EsmULCoveA/aOovzS6qaRi+NDCTUqRQAHbLcdVxx7bLVGRqvKKx99xMUjR7KiuLiw6EngqHwUtfhh1CzVB6fwG1mfQUr6dzedrrvXvA9OYVja+gxSykuzmbe3FhFZ38WpPjhR1Px+c3OpPjj5KGp2+UtrETU4AFGUnwacCKyGUONy222n8fHHr1LbIM+9hPfee4rbbz8jHdwsA46uSXADkI+it4HvFV6PnTKF026/nQ9mzKhV3gBWrV7NPW+8wQX33JMObmYCxyu4CaIoPwEoHWhhxoz3ufXWU5k6tfZt4EtKVjN27MPceec56eBmPqFcVDu4AchH0Sjg4sLrlyZN4qy//51Pvvyy1vn7etUqbn7pJX76z3+mg5v/AacouBEREZH1XYupwSmI49xw4C5SAyz067c7BxxwHptvvlO17tKWlKxmypSxvPjiTcyc+WF61VLguCjKP1vb/OXi+BLgyvSyQwYN4uwhQ9iqe/dqpbFq9WpGT5rE3158kelr9+eZBRyWj6Lxtc1fVsVx7vvAn4HSAjBgwBD23/9cNttsQDXLRTH/+9/rvPjiTcye/Wl61XzgyCjKv1GbvOXi2Aj9cX5cWFZkxpE778wZ++5Ln002qVY6X69axfMTJvC3l17iy8VrNcWbAhyaj6KG6YS0HiqvBqcBj1X6vE41OA1BNTgiIo1GNTj1p8UFOABxnBsKPAisFTF06dKb7bc/iF69tqd79/507tyTVq3aUFy8goULZzJ79qfMmPEBEye+wFdfzSmb7BRCcFPnEQxycXwScDuw1hT2W3fvzoEDBzKgZ0/6d+tGt06daFVUxIpVq5g+fz6TZ89m3PTpvDhxIl99vU73mjyh5mZaXfOXVXGcOxK4B+icXr7ppluw/fYH0bPnQLp160fnzptRVNSK4uIVzJ8/gzlzJjN9+rtMnPgCy5YtLJvsBODYKMp/XNf85eL4e4QgbK32adv36sXQ7bZj2x496N+9O5tsuCGtiopYvnIl0+bNY/KcOeSnTuXlSZNYtm7frtHAsHwU1b5KKIMU4JQeZ81zBTgiIg1KAU79aZEBDkAc57oDI4BzoU7zXa4gjNL2+xp0Hq9SLo63An4PHF/HpBYCvwX+mo+iFVVt3NLFca4P4XzVdX6gpYTP709RlK+3mTNzcTwIuAY4rI5JzQZ+A9yRj6LiqjZuaayJ5sGpVYDTWBTgiIg0KAU49afFBjgFcZwbCPwcOJYyd+6rMAd4CLgm6d/TIHJxvDfwI+BIoCYjDkwD7gP+lI+iGvUHEojj3DeAnwFHkQxAUE0zCcNv/zGK8rOq2ri2cnF8MPADQqBTkxEH/keopbohH0X1O2RchijAKYcCHBGRBqUAp/60+ACnII5zGwD/BwwBBiWPboSLx1WEeWMmJI8XgJeiKN9od75zcdyJEOTsmeRte2BjQl+ilcD0VP6eAsbko0gfbh3Fca4DYTLQfVhz3jdlzXmfQTjnHwLPAq9FUb7ROurn4nhj4NvA7kn+BhIC9VbA18DUJH8fAP8BxqtcVE0BTjkU4IiINCgFOPVHAU4ZZtaXcLG6rbtXOY9NTbeXmmlOn4eZ9QfuBXYAXnD3Y+oz/fpgZrsDdwBbAre6+0+bNkciIiJSHQpw6k+mh4k2s73M7BkzW2RmS8zsHTM7vbJ93H26u3es7sVxTbdvyZrr52FmRWb2EzObYGbLzGyemT1iZtuX2fRXwGeEGpKxyXtYYmZLzcyTv4Vll1T3+PXs98AT7t5JwY2IiIi0RJkNcMzsUOAl4E2gP2HEtKuB680srmCfus+eKOVq5p/HncBPCMMwdyHU0HwJjDGznVLb9Qfe9+CqJJDqCAxI1g8qLHP3q8oepJHeT3/ChKK1ou+AiIiIrO8yG+AANwIPuHvs7vPcfZm7P0S4iL3UzLY0s7vM7D4zu9PM5gN/Tpa7mW0OYMElZjbDzOab2XVm9oKZjUjWl91+RLL+KjObnTzKvYBvYZrl52Fm+xJGTBvu7qPcfaW7f+HuFxCG1v5Tst27wAHAr5MamrOqesNmdraZTTKzX5nZDOCdZPnVZjYlSecTM/tBap+tk/wPN7OJZrY4qfXqkdrmx2Y21cy+Ss7DFcnyJUBf4K4k7aHJ8uPM7L9mttDMPjSzk6rKo9ScmY02s8uaOh8iIiItXSYDHDPbFtia0F+irPsJkzkekrw+AXiGMKBAeU16TgUuInTw70EYbGBIFVkYQuj03yvZ7xIz26dm7yI7mvnncTgww91fLme/e4GhZtbe3QcDrwJXJDU0d1RxzIKtga7ANoQBIiB0+N8b6AR8D7jGzA4qs9+JhIEN+hBqlUYAmNlA4ArgMHfvBOxIGDyApDZpJnBGksfRZnYYcDNhxLVNgDOBv5Upj+XlMTOaY+BRNhAXERGR+pPJAIdwcQzwedkV7r4SmMuaST5fc/cH3X21u5c3X8lpwC3uPs7dVxHmIKmqf8fH7n6zuxe7+xhgPJCrYp8sa86fR7fy8pWYSRiNbJMq0q/M18DF7r688H7c/Z6klsjd/XlCQFc2wBnh7vPdfRFh2OlCfosJ39tBZtbR3Rck76kiFwHXufvr7l7i7m8l6Z1aWR6l+UtqM1s3dT5ERESam6wGOHOSv73LrjCztoS71YVtplaRVm/CnDIAeBh27rMq9vmizOulhLv1LVVz/jzmlJevRC9gNTC/ivQrMzMJxEqZ2Y/M7P2kydhCQi1StzL7pfNcml93/x9wOqHmZ6aZvWpmB1dy/H6EJoALU8c7NXlvFeYxi1K1JqcmTfW+MrNRZtYztc0Pk+aDX5nZ52Z2VZl9N09te4aZfVLJ8e40s8+StD40s5NTq99N/n6UNCf8dbLPFmb2uJnNTfa93szap9J0M7vIzPLAMlr2jRMREZFyZTXA+R8wGTi5nHXDAAeeS15XNWfJ58AWhRdmZoRmQ1J9zfnzeAbY3Mz2K2fdycDL7r68Dumv9X7MbH/gSuAcYFN370KYt6jawy26+8PufjAhMPwX8LiZVTQJ7DTgMnfvknp0dPejKspjC/AdQrPF3oRJXC+H0qaUvwe+lTT/GwT8uw7HeQ3YmdDE8HJC36jCyHyDk78Dks/jiqQ25klgFqGM70lopvjHMumelbyHjsC4OuRPREQkkzLZvMHd3cy+DzxmZlOAm4DlhAkbrweudvcp4dq4SvcAV5vZI4T5VX7I2ne/pQrN+fNw91fM7H7gPjM7E3iF0CTtUmAPoLzApy42ItQKzQHczI4EDiX0RapS0genD+HieTmwiBAgVhSkXA/cYmZvA28RmtztBJS4+3/r8D7WZ7G7zwVIPvuzk+XFhEBzkJlNc/eFhHNWK2X6af3TzH4GDCWU2/LsTugHtYe7LwWWJn2HHjOz7/uaScv+6O6fJs9X1zZ/IiLSvDTHuW/SmvvcN2lZrcHB3Z8m9GsYQmj2NJdw0fozd7+0Bkn9gzAC2NOEoYM3J1z0rKjP/GZdM/88TgP+nDwWEi5ANwf2dPf6vkP+FKEPzDuEIOdo4PEa7L8BEBPu8i8EzgeOTfoyrcPdnwIuJIwGN5fQr+iPhLv/LVVFzf8mA8MJtWszzew1C8Ob15iFuZUuN7OPLMz7tJBQa1O2KWJaH2B2EtwUfAq0K7Pf1NrkSUREpKWwNTcFpTrMrIgwItcv3L1ad92l4ejzkKqY2WjgecKoeFOAPu4+I1l3BqEJ39Zl9mlL6Od0NbAp0IEQkG7n7h8l21wCnFnYt3Acd/+tmQ0nDIBxKPChu5ck/Wb+4+4jzKwvoflgOi97E+aK2rgw2EMSYD0ObJik4cB+7v5aA5wqERGRTMhsDU59MrPvmFk7M+tAuHu+IaEGQZqAPg9pCGY2wMy+mZSrVaSa/yVN2qYBZ5pZKzPbkVDTU5GNCE3e5gBFSfPHwan1cwjNCrdJLXsb+AS41sw6mFkvwpDgd7p7S+snJSIiUmsKcKrnB4TmUF8ABwKHu/uCps1Si6bPQxpCWyAilKuFhP5dx7n718n604FvEQKfPwGVzYV0NzCGELB8DmxPmEcJgGTgil8DDySj213q7sVJ+psTaiXfTtL4WX29QRERkZZATdRERERERCQzVIMjIiLSiMqbV0lE5UKk/ijAERGRzDGzu8xsVTKRauFxQZltNk8mZJ1lZsvN7BMz+20l80pJBpjZlcmEvovNbLaZjUwG/iisV7kQWc8pwBERkay6O5lItfC4qbDCzHoT+jl1AfYiDBc+HDgGeNLMWjVEhsysTUOkKzVyD7Czu28EbEno8/ZPULkQyQoFOCIi0hLFwBLgBHef4u7F7j6GMDfVfsBJZtbazL4ws2+ndzSzu83s76nX55jZB8mcR+PS8yeZ2Qgze9HM/mhmXwL/TiV1gJl9aGZfmdkoM+uZ2u8iM5uUrJtuZr9LX1wnTZkuMLOxyTZvmdl2qfWdzOwfZjbfzKaZ2WlmVmxmQ+vvFK6f3H2Suy9KXhphRMMByWuVC5EMUIAjIiJZdVxyIfexmV1jZukJbg8HHkxGryvl7v8jjF53WLLuHuC7hfVJGscBdyavzwV+SbjLvzFhAuNHzSw9t9IQwuh8fZJ9C76TrOtNGO7+8tS6GcBhhCHHvw2cCZxd5v2dkaTXFfgM+Etq3Q1Af2A7YEfgCKBBah/WR2Z2spktIgQzFwEjklUqF1IvzGw/C5M813b/vknT2l71ma8qjvm0mf2isY7XkBTgiIhIFv2FcBHXldC8aH/gttT6boQhvMszE+iePL8TONzMCq9PBGa6e2HY7x8Cl7v7u+5e4u5PESZsHZZKb7q7X+vuKwuTuCZid5/r7ouB+4FcYYW7P5LUILi7jyNcUB9UJp/XuPt0d18B3FXY38IEyMOB37j77CT9Syo6US2Ru9/v7p2BnoTg5v1klcpFBpjZaDNbkQQIi8xsvJmdUE9pTzWzU6razt1fdfcu1UzzDDP7pMz+05OmtTNrm9dyjnOCmeUtTE+w0MzeN7MfpI55mLv/IbW9m9m+9XX8xqQAR0REMsfd33H3L5OLywnAj4HjzWyDZJM5hDvk5emVrMfdJwL/BQoXNN8luUuf6AfcmLpgWAgcUCbtqRUc54vU86WE/h4AmNlJSTOjeUlNw4WEi+/q7N+NMK/TtNT69HNJuPssQuD7HzPbBJWLLLnC3TsCmxICvfvL1KA1GGuGfarMbG/g78BlhHPSnVDbV1FAv15TgCMiIi1BSfLXkr/PACeaWev0Rma2FbAH8HRq8Z3AGcnF0Z7AP1LrpgFnunuX1KOju59fzrGrxcz6APcCvwV6JjUNN6byXpU5wEpgi9SyvhVsK9Ca0BSsFyoXmZM0KbyN8DnvDGBmHZL+T1OSZqzPpIMfMxtmZhOTfkxfmtldyfInCOfs9qR2aFSyfLSZXW9mj5nZYuCnZjbUzIpTaZqZnZvUmiw2s8/M7EIz2wu4Gehva0Z8HGrlDBtuZueb2UdJrdRbZrZfat0IM3vBzK6yMDrgbDOLU6diL2Ciuz/j7quTmsN33P3RVBqjzeyy5Pm7yeJRSZ5ur865ay4U4IiISOYkFyhdkufbANcC/3b3r5NNIqAz8M/kQqKVme0GPAa8CTyQSu6fwNbAn4Hn3D19x/M6YISZ7ZxcwLQ3s30t1bG7FjoS/j/PAVaZ2Z7AqdXd2d1LCE2bRphZNzPrBFxZh/xkhpkVmdn3C03LkovHGwm1KZNQucgcM2sLFALLj5O/txOasO4JbEboX/UfM2tjZh0ITf8udPdOhD5LdwC4+5GEUffOTgLWQ9cciTMJZaFz8res7xGaQ55PGKVvF2Csu7+ZrJucGvFxdDnv4yTgCuA0Qg3MbcAzZpYOWIck+esFHAlcYmb7JOteB75hZjeY2WG2pnlludx9cPL00CRPhb5eFZ67ytJrbApwREQki74HTDazpcAo4C1SncLd/TNgd2AZ4R/0UuBB4Angm+lO5smIW/8idO4uHSUrWXcb8AfC3fwFhIuLXwO1/mefNH+KgMeBhcCvWPvCujouSvLyMfAB8BzgwIra5itDDgc+SMrGGEIZODgZMU3lIjsuTZoGLifUep3t7u+ZWVfgJOCCpBnrSsLoeT0JtXQAq4DtzGwTd1+a6ltVmZHu/mLSP2pZOet/AFzp7q8lTWfnuvvbNXg/3wVucfcxSVm9A3gPODm1zcfufrOvGf1vPEkfLHd/i9AXsStwKzDLQn+c/aimap67ZsHcvanzICIiIg3IzAYQaih612enZVm/ZbVcmNlo4Hl3/62ZbUyogVnu7sOTGrm3gUVldmsLnOXuD1gYNvsnhKHBJwPXuvv9SdpTgcvc/d4yx3vR3S9PLRua5KF18noZ8G13f66c/J6RpJluJrclMAXo4+4zzGwi8McksClscy+w2N0vMLMRwL7ufnB556GcY/YBriEE6Fu4+8Ky25uZA/u5+2vJ6yrPXdnjNJXWVW8iIiIi6xMz60e4qzqGcMf2OuCVLF3ESs21xHLh7gvM7GzgUwtzF72ZrNrG3edUsM9oYLSFOYaOAh4xszHu/ikV952qqk/VVGAbQq1ZTfeFMOR3vzLL+hNqF2vM3T8zsysJw5L3Jwyasc5mZV4XBqWo8Nw1F2qiJiIikj3tCc1QFhGGQF7G2k1ZpGVqkeXC3ecDfwKuAuYS+iLdZGa9Acysi5kdY2YdzayHmR1nZp3dfTWhOSDA6uTvLEKgUlM3EvrE7JX0Beua1IgU0uxuZhtVsv9dwHlmtruFyWbPIAyaUK1aEzM72sy+a8nEsUlzsx8RzsekCnZb6726+2wqOXfVyUdjUYAjIiKSMe7+obvvkHQO7u7ux5fpBC8tUAsvFzcQaq9OA84BPiLU0nxFCPZOINRYFBGG356arLsRON3dpybp/BY4xcwWmNnTVN9NwO8IzeUWEWpMCgHOi4SanSkWhhXfv+zOSRO5mDCS3jzgAuDwVL6qMi95j+OS/mcfEIYOP6SCPkMQJqi9PHmvtyTLKjt3zYb64IiIiIiISGaoBkdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZCnBERERERCQzFOCIiIiIiEhmKMAREREREZHMUIAjIiIiIiKZoQBHREREREQyQwGOiIiIiIhkhgIcERERERHJDAU4IiIiIiKSGQpwREREREQkMxTgiIiIiIhIZijAERERERGRzFCAIyIiIiIimaEAR0REREREMkMBjoiIiIiIZIYCHBERERERyQwFOCIiIiIikhkKcEREREREJDMU4IiIiIiISGYowBERERERkcxQgCMiIiIiIpmhAEdERERERDJDAY6IiIiIiGSGAhwREREREckMBTgiIiIiIpIZrZs6A00hjnNene2iKG/1sV9N5eK4WsfJR9Fax6ntfiIiIiIiWaEaHBERERERyQwFOCIiIiIikhktsolaZU3IGqsZWmUqa0KmZmgiIiIiIhVTDY6IiIiIiGSGAhwREREREckMBTgi9SyOc4fHce7Ups6HiIiISEvUIvvgiDSAVsAe//vf66eYFZ3uXtIhjnODgEuiKF/S1JmTGint5xbHudKFUZRvrONX1X+uNH+5OC5dmI+ihspPWkvu21et/o91VUGZq855b/D8VVLeWnK5EJFmSDU4IrXXFzgHGAnMBV7P50ee717SIVn/S+BfcZzr1FQZFBEREWlpFOCIVF8H4DDgemAiMA24FTgO6AJw7LFXsM02+6b3OQp4PY5zWzRuVkVERERaJjVRE6ncjsD/JY/9gA0q23iDDToybNi1PP/8X3nzzXvSaYyN49wxUZR/vUFzKyIijaK600o0pMqmrKjutBINqSVOWaFyUbXGKBcKcKTFi+Pcn4FOAG3atNtg44179+rYsVvvDh269Grduk2HKnavUKdO3fjqqzmFl92AF+M4d24U5e+ue65FREREpDwKcKTFMys62b1kU4BVq75m9uxPmT3704Y4VFvgrmTwgYujKL+6IQ4iIiIi0pIpwJEWz72ksUc5+zkwMI5zJ0dR/qtGPraIiNSzRhxlca2R9qqrkUZZBNYeba+li6I8L710C6+8chs77HAoRx31G9q0aYd7CS+8cCOvv343O+xwKMceeyVmdWu11djlYnVJCT978EFe/fhjzhs6lLOHDMHMWLZyJb9+9FFe/ugjfnjwwZy2zz5A45cLBTgicBHQrgmOOwh4qwmOKyIiIg1s8uQxvPLKbQB88MEo5s+fwbHHXsFzz93ARx+9Urq8b99d2G23E5okj7UNPH5w8MG8+vHHANwyejST58zhvKFDuXjkSP735ZcA/OX55xncty+D+/Spt/xWlwIcafGiKP9AU+dBREREsmWLLXYllzuefH4kADNnfshNN51IScmaFurbbLMvO+10WFNlsdaO/sY3GPPpp7w9ZQoAz02YwIsTJ7I61Shm+F57sUPv3k2Sv+wFOLk6jl5xZCVpVbausRyZysQ6+atkXU3lKx6BY73TVJ9VFrWEcpEvv6lJbar/q2ut5i1VldcK8teQ1f+lzRgqPmctqlw0ZFkoV3V+w1L5a/QmQi21XBxZznaNrbKycWQzyGB5+WtB5aJVq9YcccSv6N59K5566hqgZK3gZq+9TuXgg79PUVGrhs9Xaf7qp1x0bt+ePw8fzrXPPMPDye9PIbhpZcalRx7JUbvsUv381XO5yF6AIyIiIiLSTLRp056ioiJKynT5bdu2PWZNOyVlXfrhmBnt27ZdZ3mroqJylzcmBTgiIiIiIvWspGQ1L7zwV954o3RePMyKcA+Bzssv38rcuVP49rcj2rRpiq7Atbd0xQoue/TR0n44AEVmlLizcvVqLh45kslz5nDO/vtTVMcBFGojewFOXau40hM0lU2rsnWNJT1B0zr5q2RdS7YenYtcHLchVHDXc311tUzMR9EHTXDcplFxuSj9HjXkyEgVNnOquryW5q8hR0Yqt5nTevRdqrVqlIu0Rhk9q3rnvdz8NcroWS21XDSDCR0rPffNYELHzJeNKsrFlClj1wpuunffmmOOuZznnruByZPHADBhwnP06TOYPfYYVuvmr+v8DjVCuXjo7bfXCm7223Zbvjd0KJc88gjT5s0D4LaXX2aP/v3ZuW/f6uevnmQvwBFZj+WjaFUujpcADwGdG/nwvwVaToAjIiLSgLbaak/22utU3nzzHgYMGMIxx1zBBhtsyPDhN/DMM39i7NiHGDBgf3bf/cSmzmqNnbrPPuSnTmXM5MmctvfeXHjQQbQqKuKus8/mVw8/zJjJkzl3//3XDW4aiQIckWYmH0WjcnG8J/AEsHVjHbdt69b6PRAREalHBx/8fbp3789OOx1eOphAUVFrDj/8F/TpsxMDBgxp8n44tdG6qIjfHX88b0+ezMGDBpUu79SuHTcMH87T773HtwYPbrr8NdmRRaRC+SialIvjPYCHgQPT6wb36UPXTp1qnfbXq1YtXrRs2ZdzlyyZNeerr+asTno9riwufrdOmRYRaaEafWS9GtLkm00jXS4ef7zhPoPalr96KxcjR5a7OH788fpJvxYU4Ig0U/komp+L428CNwDnF5bPXLiQn37zm2zfq1d1k5oPPA+MAp4FZtR3XkVERESai/WvTkykBclH0ap8FF0AXAisBpjz1Vecc+edPDdhQkW7rQbeACJgT6Ab8B3gDhTciIiISMapBkdkPZCPoptycfwxoclalxXFxVw8ciQd2rZln222AZhOqJ15FngBWNh0uRURyb4oat4jhOWjqFnnL6tULpoH1eCIrCfyUfQ8sAfwMUC/rl2n7Lrllj8BBgJbAOcCj6DgRkRERFowBTgi65F8FH1MaHZ265S5c3dt16bNdcCkJs6WiIiISLOhJmoi65l8FC0AzmvqfGRYo1Tf12GCyEbJX6NMELl+KT3vjTK5Z82V5k+fXTaYWX/gXmAHQtPjPwFPuHuXBjzmZcDB7j60oY6RBWY2HPiFuzfdOMhSKdXgiIiISCaZ2VQzO6W6y+vpmG5my8zsKzNbZGbvmdm1Ztazhkn9CvgM6Ozux7j7qw0Z3MjazKy/mT1sZrPMbImZfWZm/zKztu5+X2MGN2Y21MyKG+t4WaAAR0SaBTObYGbfqcZ2WyYXEJs3Rr4aipntpSfnHgAAIABJREFUZ2a17i9lZn2Tf7rVHi+8rszsaTP7RWMdLzmmykXN9m8R5aI5MrM2qZeHunsnYGPgNKA/8K6ZbVWDJPsD77u712M2pfqeAr4ABgCdgL0IA/mst530y5TRTFOAIyI1YmZ3mdmq5CKq8Lggtb6Dmf3JzKYl62ab2YtmtmOyvtwLUXcf5O4PNkL+R5vZiiRvi8xsvJmdUI/pV+vOcE3uxprZGWb2SZn9p7t7R3efWdu8lnOcE8wsb2YLk8f7ZvaD1DEPc/c/pLZ3M9s39fpKM5tiZouTz32kmfVN1qlctNBy0Zwl5e7Z5H0tMLN3zGxAav05ZvZBUibGmdmhqXUjkjL8RzP7Evh32fTdvcTdxxOG6p8LXJ7av2/yHfkiedxqZp2Sde8CBwC/TsrkWWXv4ie/xfeY2W1J/j83s7WaLycB82tmNt/MPjWzn5qZpdYfYWYfJsf4D9C1Hk7res/MNiUENje7+yIPZrj7ze6+oux3z8w6mdk/kvM8zcxOM7NiMxuarB9hZi+Y2VXJb99sM4tT+3cws0ct1BYtNrP/mtkhybpewNNAK1vzP/f08n4zy8nXVDP7jZm9ZGZLgeOS5UcnZX2hmU200OQuU1pkH5w4ztX5bkhladR1iMBcHNc5f5Wl0VKGCJQGdbe7n13BuuuA7YAh7j7NzLoABwHNqXr9Cnf/rZm1Br4P3G9m49z9k6p2rA9m1sbdVzXGsarLzPYG/g6cADwHtAJ2JIzQV133AH9w90Vm1gH4LfBPYG9ULqqU4XLRnF1FGGb/KEJZHEQyEqWZnQv8gnBR+D7wTeBRM9s5VSaGAE8CfajkmsrdV5rZv4CzkrTbAS8C9wOnAu2A+wgTO5/p7oPNbDTwvLv/NtlnaDlJH08Ins4DjgYeNLNnku/YIEItxCnAf4BtCBfKc4B/WOjj82iSp38CBwL/AsZW89xllrvPM7MJwO1mdjOQByZWUpt2A6HGbTvga+A2wnclbQhhqodewK7Aa2Y2yt1fJ1Q4PAqcnuz/I+ARM9vK3Wea2WGEstCxkJiZbVnNt3MOoXyPB9olgdMdhPLyOpADnjWzz9z9lWqm2eypBkeanJldYmZPNHU+ymNmN5vZX+uYRvouzvDkzlyjscZvPrI38KC7TwNw94Xu/oi7T0zWF97/R8mdqF8n+VzrDreZ7WRmz5jZnOSu2HPlHcxCO+lJZhab2UAzW2lm3VPrLUn71LL7unsx4R9Ra2Dn1D4dLNyVnZIc+xkz2zq1flhy1+srM/vSzO5Klj8B9CX8U1xiZqOS5aPN7Hoze8zMFgM/tXXvxpqZnWvh7vhiC+29LzSzvYCbgf6pu3dDK7h7d76ZfWThbvNbZrZfal2ldxAJzS8muvsz7r7a3Ve6+zvu/mgqjdEWOiEX7jADjErydLu7TwJWmdkfgQ+B84Fccu5ULlpouajOuWtCK4HNgP7J+3vP3b9M1v0QuNzd301qYp4CXgKGpfaf7u7XJudlWRXHmgFsmjz/FmDu/ht3X+7uC4BfA8PNrOyFcWVedPd/J/l7lBCcFcrs+cDD7v548t4mAX8lNJkDOAl4293vdfdidx8FPFaDY2fdUGA0IdgYD3xpZr82s7VuEptZETAc+I27z3b3xcAl5aT3cVIDVOzuY5I0cwDuviT5HL5y91Xufg2hbO5WD+/jNncfl9RCLQcuAm5IaotL3P1twmAWp1WezPpFAY7UO1u3qcc4Mzuuou3d/Sp3P7Ix8wil/9iLUxcHX5jZLWbWPpW377n79+vrmA3RMdGapvnIcclFysdmdo2ZdUytewX4lZldZGa7m9kGZfYtvP8BSVOaK8p5Tz2Bl5PHloQLkKvL2W5P4FXg9+4eJRfLbxHughUcAnQGRpazf1vCRQAk8wslbifcidszOfYY4D9m1sZCzcQ9wIVJG/v+hLthJOV4OnB28t4OTaV5JvDnJC9/LpsX4HvAiCQ/XYBdgLHu/maybnKSZkd3H13OezkJuILwT2pTwgX6M2aWvtM+JMlfL+BI4BIz2ydZ9zrwDTO7wcwOSwcD5UmV40OTPBVq9J4j/APdghAgvEC4e/waKhctuVxUeO4qS68erALKO0abZN3PgSnAE8n/gL+kfs/6ATemflsXEpqN9U6lM7UGedkcmJdKu2+ZtF8AnHB+quuLMq+XEvqLFI5xUpljREBhsIPNy8n/lBocO9Pcfa67X+Lu3yB8934B/Ab4bplNuwFtgWmpZdNYV4WflZm1T8re5ORGxkJC/61u9fBWppZ53Q/4ZZlycQbh+58d7q6HHvX6INzxuCx53prwo1AMbFtmOwNaN0H+LMnXCEKVb2F5b+A94Kp6Pl4xMLSB3svewFeEphOtCD+yuwLHVrKPA/vW4Zi7Aj0IN0gGAW8DD6TWtyE073kpydtS4G5g42T9lkkeNi+T7lTglOT5LwgXceUdv7D/j4BZhCFN0+tPASalXj8I/KVM+VxOuNO5mtAc4KzU+q5J+n1Ty4qARcC+QAdgGXABsEk5+St9H2WO+fcyy4YCxanXHxIujst7z2cAn1RwHjZPXo8CriyzzZvAxcnzEcCEMuvHAhelXu9DaCbzGVBCaJaxX5n3cVlFZSl97ggXaZcSLggXAfurXKhclHfuqvvbU5sHIeAu+/47En6XdyuzvD+hKdrlqXN/QiVpjyD1P6Si958sa5Okd3/y+sSy572cdMqe17Jl4y7g9kq+LzcBN1aS/mXAq2WW3QeMbsjPZH1+AO8QbkSUfveSsrwCOLBMWXKS//3llRXWvla6lHD90Y9Qswehz9YZyfMh6c8+WVb4Xg1ILbuE1G8C5f/uPAX8vKnPZUM/VIMjDcpDU4+bSNptJ7UHF5lZnnAxkEtqUp4v7GOh2chlFjrFLUlqJHYys5PM7JOkVuh2C+3kC/tU2FkzWb/OccvJ6+eEEVJ2SO13V6GJRSqdC8xsrIVmKG+Z2Xap9Z3M7G5b09Ewfce4vA6Aoy0MH/pIkt6nZvbt1Hqz0IRvRpLmdRaak4xINmn05iNJ+l96qNqeAPwYOL5wR95D9fpf3f0Awl2vIwgXuTeUl14FtmTtO+fl+RXwjLs/X2b5SKCbme1roaPotwl3rdOu9NCRuyvhx/7A1Lp+yd/3Une35hMuUPp4aIZyOCGo/NRCR82Tq/Geplaxfkuqfs+V6QNMLrPs02R5QWV3e3H31919uLv3IdTAfEK4y17doWlLzx1hAtpfEPoZtAF6qVyUa2oV67ckQ+WivHNXzTRq6y7gXAud7VuZ2caEMjcBGGdm3zGzfmZmhIBrJWv6hV0HjDCznZPf4vZJ+dmuvAOVx8yKzGwn4AGgO6EGBUKtZpvk971Tkn5vMzumXt51cBMwzMyOtFDL2NrMtjez/ZP1DwB7JP9bW5vZwYTvRYtnZhub2e/MbIfUuTuOcH3wanpbdy8h9KUaYWbdkmuPK2t4yI0IQdI8oK2Z/YbwO1kwizDIQOG7hLvPJdQUnZmU7R0J/W2qcj3wo9R3oq2Z7Wpm61wXrc8U4EiDstDU40JCU4DCxfVZhE6RHYFxFex6OuFO6MbJfv8iXAwNJnRwPYpwByzdWfNDwl2T7QlV72UvnCo9roUmG4cRmtJU5gxCp9OuhDuaf0mtu57QkXN7YCfCP4uq2lOfTpjArTOhffTdFpq7QOh8ehGh2UgPwoXIkNS+zaH5SEnyd53BK5KgazShY+XOZbavzFTCeazMt4Bdzf6/vTsPl6wuDzz+fVkE26bBgQZEIk0DmiBL4FaMGCA4LDq4JEQMjxoEA5pMXNCZCA6LaXBhBMSdqIFIDGgUR54MMYigYROdpFCCsiZAs0ODrM3SzfLOH79f2aerq+69vda9p7+f5zkPVWf91bkv1fWe3xZ/XX+c9K75NKVm4AjK/fv3zLx20AmytHs/EjiwkVj2mhbskJmbNJYZmfnNetylmflmSgx8HDgnlgz/OuzzTfS55zP8M0/mnt3Jkh+SPXPr+uWWmXdS/pGeVc8zcLe+90vdO+C36vtX9e5dPbdxscRaFxeD7t3qkpnnUp5qf4mSVP0SeCHwxvoAbjdKk8eFlKTnZ8Bp9di/AU4BvgY8TGnGdwKDm7z1+0FEPF6P+wblfu+amf9Rz/0kZZCNHSkPAx6lNFH77cGnW36Z+UvK/w8fpPzbsYCS8M2u22+hDFLwUUrN5Yco/xaoJLqbUzr+P0QZmOF44P2Zed6A/Y+ixMfNlBi7mPL/waJJXu90yt/gHsoDiCdpPPzIzJspCeu/1ocEvb6Dh1H+xo/Wc5w10YWy9LV6D3AqpZboXkoyP3O846adUVchubRvYemmHguAq4A31W0JvLNv/3ks3VRsPo3qU8pT0QRmN9Z9G/hMfX0wcEvfOccoXyzrTnDdZ2o5H6v7/ATYrLHP2TSaANR93tp4/wbg4fp6HUqzln0b23dg6Wrqw1m6+vhSGk0IgBfV/Xet7y+hNpeo74PyY2FeY90abT5C6WC7SePzXQX8n8b2EylJ2Mxa3t0oT5C/VLe/kNIE6LV9553PkqYVW9XrH0Np+rN+777SaIID/BdKE7lzaDR3pCRrC4GbKP0e+uPz+L51J1B+3KxT359L+fH90vp+E+Cg+pm2oCS4G9dtr633fU59fxVw4iSuuQ9LNzd5L6UT8h71/m9GbUIDHECJ0VmN/X99H+r7t1P+EX4VpQnm4ZR/JHvlmsf4TST+kNK2/CWNuDirnnPGkFi6B3hXI2beR6kpOY9SS3o+JV7fQhmtyrhYy+KisW7ovev/jnFxme4LZYjppNRcj7w8a+NiDY5Wl09keUK3eWa+JjObo6TNn8TxzSYTTwLPZeYDfeuaHSkn01lz0HUvq+WcRXki+a/Aj2PZDtDDytZsyjEb2KDvOreNc55lzpeZT9SXvXO+lEZnxSzfnEs9ec0133zkz4Fbo4yp/wNK5+1mp8tFlJqsuyg/vs6j/Oj9y1repyg/HL9Zr3dc/wWyzOGxD6Uj+F3A/ZQftf37PUR5CvobwHcazeRupLSV3ooy/OlEPkfpeNsbRebdlB/Bl9ansL+gDJOblB+Z7wXm121fAg7LzPn12I8DfxJlTo0LJ3HtnjOAkyk/Hh+lPEnujaDzI8oTwdvqPfv9/oMz8xuU5PIcSjOHvwAObJRrIr+qn/Hn9W/7S0pM75/DR4c6DjgpIh4G/pryMGJvSs3lTylPFten/PA3LtbCuIiIr9R14907aVqrzRxfU5t8bUGpEbk8V+F8VFo+vY5M0ioTfWP3921LSu3ClY118yg1BfvV9/MpTwPPqe/3qedr9rk5m/KU88iI+GPgrzLzleOUacLr1nU7Uf7h7WTm1c3rDDpPs2xRhop8ivLj4Yd1+w6UKuvXZualEXF4/WzbD7tXzWtE6Zt0VWZ+tG4LSgL1tcycN+Sz7kzpAzGWmT/rv0ZEPE+Zi6T3GTan/FDcvC+JnNbq325xZr5n1GXR1GFcSFrVImJHSsuSOZQHsJdTBuq4e5TlWptZg6M2WCWdNWu/lyMotTK3LG8hcklHwxMjYouImEV58roy/p7SQXbX2h/mf9AYyjHKbMTvijJ8LhGxGaW99YOUdt2D3EejTX9mLqjlPiMiXlrPs0lEHBRLD/88bUTEyylPhwcNu6u1lHEhaXXIzOszc6csfVs3z8yDTW5Ga6UTnOibhK3tIuK6iDhkJY5fo5MuxggmllzTcuU6a+4TdR4c4G5gd0oNzCMrWJyjKM3SbqTUBF1A6Vewor5OaepyIaWWZWtK059ex0Wbj/SJiO9QmiGdnKWTrWRcSNJaZMImarV5yx6UzthQnv5+MTM/W7fPp9GcaKUL1NckqK47HPhbSrUflFFJzgeOzjIyzspecx59TZVWhUHNola1iJhLmehuL0pH14cpncwPyczFA/Y/m777q+mjNoO7gxL73xh1eSRJkqaaydbgfKxWu82kTJb2iYg4YKKDVrFbG2V4PWWI4I+sqYvH6p9teUX9M6WT+isoHdP3oMzlssyQvZqeoszTsGFtQnciZaS15emkLEmStNZY7iZqmflTynwjO/Vvi4h9IuLZvnX9kzgOnSixNt16B3BYr9lQRCwzh0iWyQWvoG+yxtof4eo6mswNEfGOxrY5EXFR3fZw3e8VtbnZsTSaKkXE3KgTMkbEhyPiLuCaep6lmuRFmYDy+xHxQJQJEi+u64dNqPjrSRcbx/+olunWKBNcrtsoc0bEoRFxfb1fP2j0t9iUkth8OTMfzeKuzPxyZi6q+/x6Ysnx7u94904j935K87R7KRMPHphlng5JkiT1WW/iXZaIiABeQ5lL4Ccrcd3DKcOG3k8ZuvILlD4Dp9SRKPqbqPWXY1fg9ykdsHvr9qcMo/mHlMkPO8BFEXFnZl5OmYPhDsoEkc8CrwQeycxvRcRvsexoWntTRsPYitIhe5kakZpoXEaZCOwtlGZ8e0OZULE2UTtgWBO1iNiYMsTnFykTTM4FvkfpX3FqY9dD6nkXU57cnwS8OzN/FRHXAWdGxJcpTdNuyCHtDse5vxPdO41QZu456jJIkiRNF5OtwTkuytwYT1BmeT+XMl/Iijo1M++otQxn01cTM8S2tXbhKUptypXAXzW2HwV8LjOvyMznM7M3yVtv/oLFlDlR5maZRfvazLx/gms+A3wkM58a0mH7UMqkjSdn5hOZuTgzLxmw3zBvqOX6eGYuyswbKP1p+vvHnJiZD2bmY5TRrpr3ax/KJGsfpNyX+yPihOjPCsc30b2TJEmSpoXJJji9SRtnUCZO25HS6X9FDZsocTy3ZeYmlI70hwGvBl7c2L4tcEwsPdnj4SwZUvfDlNGtLoiIeyPiCzHxELj39pp6DTGHMsfJivoNYH5fjcstLDu54tD7VROfYzNzd8rM0EcDH2XpiRcnMtG9kyRJkqaFFemDcxdlMqM/GrB5IbBuLD0L/PL+SH5+gus/l5lfpzTtas5lcDswryZivWWjzDywHvdAZn6gTrD4e5Saj95wzcOuOW5ZKBMu7jDO9omG2L0T2KavtmUufTPVT1ZmPpmZZ1MmeRw2RPKgzzTuvZMkSZKmi+VOcCJiS8r8GIPmVrmJkuQcGRHrRMSewMHLeYn7gLl1ONzxnAi8ISJeXd9/FvhgROwVEetGxAsiYiwiOrXch0TEtjWZeJTSNKw3IMJ9wMsi4gXLWdZzgFdExDERMSMi1o+Iffs+y3gJ0PeADYFja3lfARxD6Q8zoYh4cUScHBE71WuvFxFvoQwAccWQwwbd33HvnSRJkjRdTDbBOSGWTIb475TBAd7ev1NmPk5pGvU/KUnEUcD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XzJ3L6E2bUje34dNqhaZtvtmaWnvzzdakAEdE2qtSYPYu7s8DhuHTLUrqOaYv4IAV9Zy7FD8zMwAoBAzgpZeWpx+7EjjBOTd9tyOO438QBJuBB4D8fUtL+fK8eelHbAK00ldEUn4GnAh0OHDDBn4ybRpXH3ooldY8n2uPWbGCS2uW27+ROK79eijS6hTgiGSvnQoMJFRrGHDOvQeMru9+M/s48DpwonPug3qOuQvY4Zz7Wq32Tvig6Ern3D1mVoQPpvrV6mIx8Cnn3NwGDzyO/0UQnAw8DnSude8jxPGFDe5LRLJbHL9DEFwB3ARw8rJldKqo4OqxY9m6J1XVnOPsRYv4wYwZ5FS3vooPqEQyLmf3h4hIWxJE0YFBFP1rF4eMCKLoziCKBrTaoNqm1cm/TckBS/3frgVwzm3Bz9SkqwQebVRwkxLHLwGfBNrOxkwikil/Am5P3ThuxQrue+UVTly2DGtCmevhmzZx4+TJ/O9779Gh+vyFwOezrqqitFkKcESyRBBFuUEU3QhMB07fzeHnAx8GUfSDFh9YG+WcmwPMBSY24fRz8bnob9Zz/xTgaWB400YHxPFk4BiUkiYiu+IX/F8C3JBq6rdtG9e+8w7/ePVVvjB/Pj13U4mxY0UFx3z0EdfFMfe+8gofr7lZ9LvAx4lj7SAtew2lqIlkgSCKDPgzcFGqzYD9+/Vj3NChDOzenYlHHMFb8+czf3VqYoIC4NdBFBGHoRaF1u0y4AkzWwn80Tm33Mx6A18F5tc+OLlvInAV8GPn3Iak/QaqUwNfBX4F/AO4bo9GF8czCIIJwIvA0D3qS0SyVxxXAt8jCKYAfwB6AIzatIlRM2fy3ZkzWdK5MwuKilhcVERZTg65ztG7tJShmzczbMsWOlWXgU5xwK3AFcTxtlb9eUR2QwGOSHb4AWnBzbhhw/jO8cczMm3fg+995jMAxAsX8vvnn2dW9a7Tvw6iaF4cho+24njbBOfcC2Y2AfgJ8J6ZdcQXFHgSuBM4CfiKmX0Bn3K2CXgbOMM593xaVznAYGAHMBa4Pvn67R4PMo7nJ0HOC3vcl4hktzi+N6ms9r/Ad4B8SF6gtm5l8NatsLJ2Nm2dngd+QBzvvjiKSAYowBFp44Io6gh8N3X75IMP5uozzySnnio5wZAh3H7BBXzrnnt4Z1HVXmw/AhTg1ME5FwNn1nP3+cnX7vr4jpktA37vnGv+HPU4Xk4QfAL4fLP3LSLZJY43AlcSBL8BPoufdT6G3S9bmAfcD9xPHM9o2UGK7BkFOCJt32eBfQF6FRfzs9NPrze4SSnIy+OXn/88p/zud5T7tINxQRQdHofh2y0/3PbJOdeyaYBxvBa4pUUfQ0Syh3/NuA24jSDohK8qeQAwCOiIn3FeD7wPzCSOV9fXlcjepk0FOGb2MnAkUA5U4HPgr3HOPZLJcaWY2bHAi865NvX/Km3eYalvTjroIDo0cBO37p07M2HkSP7zQVUF5EPx6VUiItJIdXxGWQBc65x7qI77wae7/tE59/u0Pj6Pn1HfL2laAtzqnLupRQfv19C8m3yJtHltsYraz51zRfgFcvcBD5jZyPQDzGwPirtnlnkKkKQxOqW+6VVc3KgTe3ausY1Kp/qOExGRBkn/jHIXcK+Z7Vf7/uSYLwHXmtkJAGZ2FHAHfs1fD6A3PgV2WesNXyQ7tMUABwDn3A7gZiAXOMjMdpjZeWY2n2RvCDM72MxeMrP1ZjbfzH5iZrnJfUPMzJnZV8zsfTPbamZPm9k+ZvZLM1tlZivM7PL0xzWzs81smpltTP49K2nvBzwD5JrZluTrK8l9g8zsYTP7KPm61cyK0/p0ZvZtM4vxmwMGu/v5gyjKb47/R2m7giiyIIqOBaqeo3MatjgUgErnmFK9BgdgTbMNTkRI3geOzPQ4pPUln1Fuw2fKjK3nmDfx6V9jkqYjgQ+cc8865yqcc9udc1Occ1ofKdJIbXamIKlmdDl+qncffKBzEj7NptzMuuKrCv0xaR8GPAWUAem58GcDE/BVdV8D3kru7wccDzxuZk845xYnb1T3AGclfZ8IPGJmxzjn3jKzk/ApalU7yJtZAfAScC9wHr407z3AjUD6juNfTfpdSD2/l6QU8LH40rXbgC835v+svTCznwA/B77inLu7EefdRR270u9tkufBSfhSxEel3/f6nDlUOrfbNTgAL73/fnrJ6BJ8qWGRrGBmW9Jupi4IlaUa0l+nW0pzPoaZDcGnPA10zi1trn6lZSSfUS5Nbs6p437Dv36PBiYlzW8AvzKzG4FngSnOOe0tI9IEbTHAucrMvg9sx2/CdzawObnvSufcRgAz+2JyzDXOOQd8YGa/wlebSg9wfu6cS834PAmc4py7LbnvGTNbjw+aFgMXAI84555J7n/KzP6JD1Teqme8pwLmnPtZcnubmf0U+K+ZXeScSxWWv945Ny/5vkax+SCKuuKDo8uA/ZPm+3b939Q+mVkOPlhch9/YrMEBzt4oiKLeFWVlZ+fm5/cGtgLdgJPxz8kqOWYcOngwebm5nH/77fzktNNqlIiu7cWZMwkfeyy96Y9xGDZ8+kdkL1frQtPtQAfn3PmN7Sf5IJqbXJFv07LpZ9mLpT6jFOMvwH7NOTe9jvs74tOC/wJMBj+jY2bH4N/rbwX6m9k7wBXOudda84cQaevaYoratc65bs653s65o5xzTyTtlfjFeCkDgYVJcJMyL2lPl74LeAk77wpegn+hSvVZe3O/uvpMNxQYZGYbUl/Av/EbZKV/Al1Y+8Qgig4KoujP+Pzbm6gObqR+JwID8LNbR5lZauo/lQr4HTObamabzew/qdxoM/sh8D/4PU1SKYa5ZnaImb1iZmuSVMdnzGx4Wp93mdnfzeyO5Pe7zMwmmtlYM3s77XH6pZ1TaGbXm9kCM1tnZs+m52ib2cuWk/OHzv37z3v3F79YuXry5JuBq/GB+VWkBTcdcnIYN3QowZAhTF+yhDfnzeP95cv58m238ZNHH+X1OXMoLS/HOceWsjKenzGDK+67jysffpiyHVWfcdZTM+gXyWpNSRs2s4VJmvN/kteH95I06IlmNjdJW77d0tZQJv1MSL4/PznuW2a2NHk9+YsladPJMXea2ZLkdeP95EJdyrTk39nJ4/80OWewmf0reY1aYma/N7NOtcbQqBRo2SPXOue6AT2Bp4FP1nW/c64Q/9nhAPy6GwCcc2845/7HOTcQv3fWXOBJM+vWOsMXyQ5tcQanPq5WMLMEGGxmltY+jJpBUGMtYefdwtP7rKzjnEXAHOfcgbvpuxKq9jT5LP4KztFNH2q7dQnwjHPuKTObBlwMfCvt/ouB0/FB42/wKYgHOed+bWYHUCtFzcwcPrj4Lz698Hb8DvTpefWfS76+lvR/Gz4t8Sz8TNKTSR8XJ8ffDnQBxuODi6vwb2AHpfZIsdzcS/t/+tMdiocOxZXvvG1KfocOjB00iB2VlUxZuJCKGk992FFZybPvvcez770H+BmeylrHJOYAp8VhqPU30i7sYdrwV/CvH3PxG73+E3/B6hD8ovA4re+6DMaXdB+O/3A7GXg1eXyA14HvAxvwexrdbWZTnXPvJ4+xABiVSlFLgqmn8KlNg/EzvI/hN5FNXz+62xRoaV7OufVm9jVgnpmd4Zz7Vx3HLDWzB4Hr8M+t2vcvMbNrgXPxnzXeaelxi2SLtjiD01BP4d+4fmxmHc1sFL704l/3oM+7gLPN7MTk6v5J+GDkzuT+FfgiA+lB0JNAnpn92MyKzetvSXGClOJhw3oHUfRzfCrcfSi4abRkluQUqq+G3QGcl341E/itc26uc24b8EP8B40j6uvTOTfdOfcf51xZkv4YAePNLL382EvOuaecc5X4lLjOwN+dc0udcyXAw8DhyRh74jdVu8w5t9I5tz3ps29qHLmdOnXtPmZMhy7DhmFmjBkyhAsmTOD4Aw+kR1ER44cPZ/9+/Xhr/vy6gptV+NnBGuoJbp4GxsdhuFN+uEgWq0obds5tc86tB34K/E/6bApJ2nCy2Du1dudW59wHyYWIe/EfOq9yzm11zi0GXib5W6/HNuBnyevJXHxwVDWj4pz7q3NubfKY9wPT8esu6zMOGAF8NxnDMnwFrguTdLRd/SzSwpL09xuAX5hPn67BzPrgA9lpye0zzewCM+ub3O4JfAdfAGZWqw1cJAtk7ZUc59xG86UXf4e/IrYRH4jcsAd9/td8ZbTr8VfLFgFfSiqh4JybY2Y3A5PNl6r+pnPu72b2KfwVmln4dLflwANBFD0GfAqg7zHHPER2B5ytIbX25snk9j+AX+Ovft2VtC1MHeycKzGz1fiUtjol6Wi/wQcfxVQHDz3xa2IgLa0x6bNGGzXTHFPB7/Sanz/II0l1zOvcuVfHbj4b4djRo/nNOeeQOnbuypV84ZY693J8EfgF/gMW+Ko9X8DPLA3C/62XUb0T9X1xGM6t7+cWyWJVacO12lNpw6mSvAvrOLf233WFc251rbZd1WpflbbuEvxrSDFUrR+8Gv961ScZT2eg1y76G5j0uTWtbR7+4l4v/AWP+n4WaR03AldQXRTop2Z2ZfL9VuAV/GcUgLX4mf7rkpTJzfhZvuOTi2XSxpjZMOBX+IvWRfisjRg4N7nAKS2kTQU4zrlj62l/mTp+FufcVOC4es5ZiK+clt52dR3HDal1+0HgwV2M8XJqpgbgnFuCr3cPQBBFufjqKh8Aow67+mpofHAzMYiiiY08J2slHw6+hk/RWJoWPOTi3zDuSm4PSTunEP8hIFWRqK4Uw1vwAenBzrm15tf0vEet504jpOoyj6j1wShd1cXXft26kR4Irdu6tfaxjwO/iMOwdpGL1IZtP0qqrnWIw3DnXDeR9qdRacOtaCL+NewE4H3nXGWybib1AlDXeJYAvc2sMO0D8DCglJpl31v7Z2mX6vqM4pzbBHRPbt61m/Nfw1dzlezxNPA8MArYBPQnmUVuzgcxs7xUirt4mjHIgDgMK/CzDI8C9X3Ilcb5DH4m5ij87EXq6xTgSDM7KDnuCjMbnuTh/xJfNCIVHKwAhtVKJeiCv8q2IUkX+L89GWRS8vNe4GYz6w9gZt3M7CwzKwKoKCvblDr+vjff5LfPPsukuXO5/623uOqRR9K7ezMOwzPqCG5qiMPQKbgRqdKgtOEM6ALswL8n5JjZhfh1Nymr8YHKiLS2yfj1QL81X7ykH75E/p1JyqyIZIiZ9cAHNrc45zY6b6lz7pZUqqiZfdbM4qRIyYpkzRVmNsB8AaLVyX2vmdlhaX1fbX6fx+vNbCX+YqekUYCTIXEYLozD8Mf4FIMvUV0HX5rmEuAx5zdFW5H29Tz+//aS5LjbqQ4sDwHOSEsZuR2fErLWfEW0XHxqwdH4Ky+vUZ3+ticuAmYDL5vZZvyM0OdJ0t/KN29eWVlevpqk4b633uKb99zD9c8+y/qSqiyFHfiUPBFphGSm41P46lWz8OnL/6aezRhb0d/wF1vm4tPkDiDtan6ybvCnwH3J69NVSbnnU/EXdxbjA563qE55EpEMcc6tBWYCt5vZl83sgPS1cck67r/hU1N7ACPxG8aD/3x+M345RB98gYlHk+UPKZ/Ap80OxG+ZImnM1b34WDIgiKJD8dXT/gdfH39X7ovD8Iu7OUbSJBXRjnbOvZ7psexOEEX98NWQ6lqwvB44Ow7D/7TuqEQk2wRRVPUhIA7DZk2bEWnvksyP7+KzTMbgKyTeBFyDL4Y10zn3gwb0U4y/0Hqgc+59M7sa+LJzblhLjb2tU4CzFwqiqBu+ZORl+Ii+LgpwGqktBThQVTL8M/hCAf2ALcBzwEMq6ywi6dIDldakoEikYZJ1v+fgt5K4BD/T+jtXvbl8+rE98UWxjsWvLa4EugLHOudeSQKcTzjnau+zJIk2VWSgvYjDcANwYxBFN+E3Cbscv/eCUgrbkTgMt+PzapVbKyIi0oYl6bF3mdk38SmxC6m5pi7ddSTbRzjnPkqbwUm/oKB1drugAGcvFodhJb7874tBFA3ER/wXAb0zOrA2yjmnK40iIiLS4sxsH/x+e/fg19064Ax8qtov8RkZ95nZf4AXgELgIOfcG/iiIyXA+qQA0a9a/ydo2zYtUPwAACAASURBVJSi1sYkaUtnA/3iMPxtpscjIiIiIjUlG4L/AV+oqC++ONBC4M/OuVuTY84B/he/6fhW4Hbn3E/NbDR+78aDgZXAz/Blxj/tnHs5SVGb4Jz7dGv+TG2JAhwREREREckaWtMhIiIiIiJZQwGOiIiIiIhkDQU4IiIiIiKSNRTgiIiIiIhI1lCAIyIiIiIiWUMBjoiIiIiIZA0FOCIiIiIikjUU4IiIiIiISNZQgCMiIiIiIllDAY6IiIiIiGQNBTgiIiIiIpI1FOCIiIiIiEjWUIAjIiIiIiJZQwGOiIiIiIhkDQU4IiIiIiKSNRTgiIiIiIhI1lCAIyIiIiIiWUMBjoiIiIiIZA0FOCIiIiIikjUU4IiIiIiISNZQgCMiIiIiIllDAY6IiIiIiGQNBTgiIiIiIpI1FOCIiIiIiEjWUIAjIiIiIiJZQwGOiIiIiIhkDQU4IiIiIiKSNRTgiIiIiIhI1lCAIyIiIiIiWUMBjoiIiIiIZA0FOCIiIiIikjUU4IiIiIiISNZQgCMiIiIiIlmjQ6YHICLSVkRR0AX4NjAR2L+Bp00H7gNuCsN4a0uNTUQyI4qCYcAMoFPStBG4IAzjf+5BnwXA74CvpzU/H4bxiU0eqEg7ohkcEZEGiKJgHPAu8H80PLgBOBi4DpgSRcHYlhibiGTUAuAqYEdyuyvwaBQFN0ZRkN/YzqIoGAm8Sc3gZh7wv3s6UJH2wpxzmR6DiMheLYqCicDfgLxUW15eAaNGHcOYMScwYMBB5Od3BqC0dAtLlkxjxoznmTPnNXbsKEvvqhSYGIbxY605fhFpeVEUHAE8AAxOa54CnBOG8fwG9jERuBUoSmt+ELgoDONNzTVWkWynAEdEZBeiKDgOeAHIBcjP78wJJ1zBmDEn0rFjp12eW1a2lenTn+aFF/5Aefm2VPN24JgwjN9syXGLSOuLomAf4E7gjLTmTcCFYRg/sovzOgG/By5Oay4DvgP8JQxjfVgTaQQFOCIi9YiiYF98bn1PgF69hjFx4g3ss8+ARvWzZs1C7rvvCtatW5JqWg6MCcN4fXOOV0QyL4oCA74F/Ia0WV/gj8D3wzAuq3X8KPwszcFpzXPxMz/vtvBwRbKS1uCIiNTvRyTBTVFRD770pT82OrgB6NlzCF/60k0UFHRJNfXDX5kVkSwThrELw/hG4OPAwrS7vgG8EUXB8FRDFAVfBGJqBjcPAIcpuBFpOs3giIjUIYqCrsBHJJWRzj33ekaPPnaP+pw+/Wn++c+fpW5uBPqEYVy6R52KyF4rioJuwB3AWWnNm4BLgWOBi9Lay/BVGm9VSprIntEMjohI3SaQBDe9eg1j1Khj9rjDMWNOpFu3fqmbXYFxe9ypiOy1wjDeAJyND1zKk+YuwD3UDG4+BMaHYaz1NiLNQAGOiEjdjkx9M3z4eMxsjzvMycll6NAaMc2R9R0rItkhSVn7Az5lbXUdhzyBT0mb2rojE8leCnBEROrWPfVNU9bd1Ntp9xp99Wi2jkVkrxVFQSFwCdCrjruPBU5q1QGJZDkFOCIiddue+qasbGuzdVqrr+31HSci2SGKgv2Bt4Cv1rqrIvm3GHggioKboygoaNXBiWQpBTgiInWbkfpm6dLpzdZprb7ea7aORWSvE0XBl/FV0sbUums5cC6QvgHopcCkKApGtNLwRLKWAhwRkbq9mvpm7txJbNjw0R53uGbNQhYufCe96bU97lRE9jpRFBRGUXAH8DegsI5Dzk82/vwY8HBa+1hgShQF57bCMEWylgIcEZG6fUgSgFRW7uC5525gT8rqV1ZW8Oyz1wNVfTwdhvHyPR6liOxVoig4AJgMXJDWPBvYnHb7JIAwjDcC5+D3yEmlrBYD90dR8GelrIk0jfbBERGpRxQFnwT+nbp99NEXctxxlza6oppzjueeu4G33rovvXl8GMZvNc9IRWRvEEXBV4CbqTlr8w98+tkPgZ+mtf8W+GEYxpXJuR8DHgSGpx0zDTgnDOM5LTlukWyjAEdEZBeiKPgD8M3U7QMPPJ5TT72KgoKiBp1fUrKBxx//ObNnv5Le/IswjK9q3pGKSKZEUdAZ+CNwflpzKXA5cGcYxi6Kghx8SeiT0475JzAxDOOypJ+uwK34WZ2ULcDFYRjXuEIiIvVTgCMisgtRFOQBTwInpNoKC7txwAHHM2bMCQwadAhmNbN9KysrWLToXWbMeI733/83paWb0u9+DPhcGMYViEibF0XBQOBZ4IC05ln4mZf3ah3bGT+jc2Za81/CMP562jGGLyn9eyA/7bg/hmH8TURktxTgiIjsRhQFHYGbgItr31dc3JsBA8aQn18EOMrKtrBkyXS2bFlbV1c3At8Pw3hHy45YRFpL8vrwOnB40vR34LIwjLfUc3wucD3wnbTm88Iw/ket4w7Fp6ztlzR9Nwzj3zXn2EWylQIcEZEGiqLgc/ggpV8jT10MXB6G8ZPNPyoRybQoCobig5yfAHeFYbzLD1fJLM1/gfFJ0x/CMP52Hcd1waesdQLO3F2/IuKpipqISAOFYfwwMBC/8/gtQJ3TNIlV+Jz8CcBQBTci2SsM4wXA8DCM72xgEJIHdGlAv5uAicC5Cm5EGk4zOCIiTZSszzkK2Bd4IO2uTwCTlIomIrVFUVCMf704KWmqBI4Pw/ilzI1KJLsowBERaQZRFFS9mIZh3Lg60iLSLkRRMAB4Cjg4rfmHYRj/JkNDEslKSlETERERaWFRFBTiKzKmBzfX4gsOiEgz6pDpAYiIiIi0A38BDkm+34Hf2+bODI5HJGtpBkdERESk5Z2a9v13FdyItBwFOCIiIiKta32mByCSzRTgiIiIiLS8/6Z9f0sUBSfVe6SI7BEFOCIiIiIt7zxgQfJ9Z+DJKAouy+B4RLKWAhwRERGRFhaG8TrgFGBx0pQD/CmKggsyNyqR7KQAR0RERKQVhGH8AXAE8HZa85+jKDgsQ0MSyUra6FNERESkFUVRUARMB4YmTX8Iw/jbGRySSFbRDI6IiIhIKwrDeAuwMNPjEMlW2uhTREREpJVEUWDA94Dj0ppnZ2g4IllJMzgiIiIirSCKgg7AzcBv0pofAf6cmRFJczOzQjP7lZkN3f3R7UAQFBEEFxMEn2rNh1WAIyIiItLCkpmbvwJfT2t+A7ggDGMtiM4eOcAPgXlm9qSZnWxm7e/zdhCMJghuBJYBfwEGtebDK0UtYWYGHAycBowBDgB6AAZsxU8fvw+8BPzbOVfeqgMMghzgKOAzydj2B7oCDtgEfADMBJ4FJhHHla06PhEREdmVbwBfTrt9H3BhGMalGRqPtCzDlwU/BVhgZn8G7nDOrc3ssFpQEHQATgcuBz6ZyaG0+ypqZpYHXAR8ExjdwNPWAHcD1znn1rTU2AAIgs7AFcDFwMAGnrUYuBX4PXG8taWGJiLVoiioejENw9gyORYR2ftEUbAW6J7c/AfwZc3cZB8zKwI213N3GXA/cLNzbnLrjaqFBUFf4GvAJUD/eo66kDi+s7WG1G5ncJIZm2uBzwKjGnl6T+C7wFfN7FHg2865+p7MTRMEecDvgbOAvo08exBwDXAZQfAocAVxvKNZxyciIiKNkZ6mdKuCm+xnBvn5uZSWVqSa8oGvAF8xsxi/Hut+59y2TI2xyYLAgKOBy4CzqRVTVABb8vLoWt66CU8p7TLASYKbfwJnpLfn5eUwenQ3hg4tplevArp06YgZbNtWwerV21i6dCszZ65n8+aqX1ZX4ALgJDPbzznXPLMlQZALTAEOSm/ekJfHS337MrV7d+YXF7M2Px+AHmVlDNu8mbHr1vHJjz6iW/WTqR9+SnwCQRAQxxWIiIhIJqwEuiXf3xpFwafDMF6WyQFJy+rQIYfvfe9gZsxYx+TJq/noo5L0uwPgDuC3ZnYHcItzbm5GBtoYQVAMfAkf2Iypffea/HweGzSIfw4ezCWzZ3P6kiWtPkRopwEOfmakRnBz5JG9Oe64fnTsmLvTwV26wL77dmLMmO6ccMIAZsxYxxNPLKa8vGqZSx/gHTM70Dm3ZzMlPiJ+jrTgptyMP+6/P/cPHUpFzs7r1FZ36sSsbt14euBAfn3QQXxh/nwunzWLvOr0w7HAU/j1OyIishtmVgCcDJyKf+3smXb3NuDf+NfVp51zHyXndACOxOfcnwqMTDvH4Xevfyr5es8555ILbqOoztU/Ekh/I1oIPJmc85Jr73nlbdtE4L9AAT4l/q0oCk4Jw3haZoclLSkvL4dDD+3JoYf2ZNmyrUyevJoZM9ZRUVH1p7wPvmz498zsWfysztPOub3ronQQHIAPar4MFNe++93u3XloyBBe6tuXHXV8Vm1t7W4NjpmdhH+jqJEjn5+fw+c+N4wRI7ru8vz168u47765rFpV55rA651zP9ijAQbBZcCfajevKCjge4cfzuxu3eo4qdr+Gzbw27ffpndpneP7OnH8lz0an4jUSWtwsouZjQPeyvQ4aslRgNO2RVFwLn79TeoC8xbgmDCM38ncqKQ5pa/BycvL4aqrDt3pmK1bdzB16hrefns1GzZsr6ubRcAtwF+dc6tbcry75JdLnIkPbI6tfXdJbi7PDBjAQ0OGMLdLl51O/9nUqekzOK26BifzIVYrMrNO+OlAA+jZs4C8PP9fUFZWyb33zmXSpJXU9/6xaNFmbrttVo3gZuDAzumHfN/MDm/yAIOgP3BD6ubMrl1Jhe99Skv56xtv8Mnly+s9/dPLl3PbG29UBTc7zJjZtUbAdmOyEExERERaWRjGDwAn4aufAhQBj0ZR0LP+syTbdO7cgY9/vA/f+tYYvvjF/eq6uD4YuA5YamZ/N7PxyWxv6wiCfgTB1fhA60FqBTcLior4zZgxnHT88Vx38MF1BjeZ1t5S1C7Cp5NRVNSB888fyZYt5dx771w2bSrHOXjuuaWsXl3KyScPpEOH6vjvnXfW8OSTi6ms9MFPbq5x+umDOeig7tx771zmzk29VhHiUxOa4kr8AjRmd+nCxR//OGPXruWXU6ZQvGMHBZWV/HrKFP68ZQt/HTHCr14DzDkumjOHi+fMqepoY14eVx52GNP32Ye/vf46+23eTNL3D/FV2UREpIGuuurQ1Esu69dv58MPNzJnzkYWL95MZVpR/uLiPEaO7MqIEV0ZMqSYDh38SaWlFcydu4kPP9zI3LmbKCurzj7Jy8th+PAujBzZlf3260JhoX9rrqhwXHfd1Fb7GaV1hGH8YhQFE/DpakX4D7M/AH6U0YFJq8vJMUaO7MrIkV1Zt66MKVNW8847a9i2rer1oSN+vcuXgHfN7E/Afc65kvr6bDK/ROIYfInns6iZKssOM17p04eHhgwh7tGj6jPo3qq9BTiXpL45+ui+FBXlUVSUx8UX78/9989j6VJfI+Cdd9awdm0p55wznE6dcnnhhaVMmrSqqpPOnTvwhS8MZ+DAIgBOPHEAc+e+n7r7FDPr75xr3MJBPw14YermTfvvT1luLm/17s35Rx/NDZMnM3irH9+ls2czbPNm/m/sWHCOq6dO5fiPPqrqamHnzlwxbhxLioqq+rpxclU1wq8RBD9QVTURkYbp16+warYfoFevAnr1KuCoo/ZtcB9FRTmMHduDsWN7NPicDu3tHbodCcP4vSgKXqb6gmhBBocje4Hu3fM5/vgBHHtsP2bOXM/bb69m2bIatasOBW4HrjezO/FFCebU2VljBEEX4Dx8GtoBte9ek5/Po4MH89igQazq1GmPH661tJuXTzPrSfKLy8kxDj20+k2mqCiPr3xlJE88sYjp09cBsGjRFm699X26ds1n8eItVcfuu28nJk4cTrdu+VVtvXp1YsiQIhYurDruaHyd88Y4DCgEWN6pE2/26lV1x6KiIi6YMIHrpkzhiDV+250Tly9nyJYt5DjHiM3VFarf7NmTK4OALXl5VW1v9O7NioIC+vjUtSJ80YG4keMTERGRZhBFwXjg02lNW+o7VtqXvLzqiyHLl1cXJdixo2r5RDd8Js4VZvYCft32k40uShAEY/CzNecBnWvfPaV7dx4aOpT/9OlTZ4GrvV27CXDwkS8AffsW7lQtLS8vh7POGkLv3p148UU/+bJxYzkbN1bX7x49uhtnnTWE/PydK60NGlScHuAcRuMDnI+lvpnavftOU3+bOnbkW0ccwfdnzODzixYBMGrTphrH3D90KL874ICdn4hmTOvenT7V63cOQwGOiEiDLF9ewjXX7GVrwIPgXOCuTA8jzQLieKerv7KzKArygYepnrWZBfwqcyOqFkSRAecC/4zDsCzT42nv+vXrzJlnduaEEwYwdepa3n57NevX1/i1HJ98LTazv+CLEqyst8Mg6IhPP7scfzG+hq25uTw1cCCPDB7MvL1wXU1jZFeAEwT1Vpf55/DhnDVvHuDX39TFzJgwoQ+VlY6XXqq5mH/o0GLOOWcoOfVEsel9Xtqr1/cJgu83evyJdfn5dbZX5OTwq4MPpmNlJacvWVJVBs4B/xw0iOvH7FSOvMramn3eQhDcsstBxFlUBWoXzwtpJD0v6ndaC/bdDILTqgcYP/FE83aehc+Lt0aP5ohZs6qa066eZkzlxz5WSRBkehj12X+n530WPi+aQwgs6g53Hwn5O+DCNxjdcwsbeSLzv9sLRo/mzhEj+MzSpbggoEV+gVn+vNg8dizFU5t37VxhYQeOOmpfxo/vzWuvreA//9mp4NQg4Np8s2v/MXQoX+rR8FTYlLhHD3502GFsrOczaDO4gyC4o/4BNO/zIrsCnF3olDYjUlJS//KTKVNW8/LLO1cqW7BgM48/vphTTx1Uo/hAXX122sOFV12311kyEHOOS2bP5oxamyYZ8NnFi1lTUMBtI0fi6nj8bvX0KSIiIq1r8Dr43BTovRl6NM8W4Xvs2f79uXPECP/9gAEctnYtZy1enOFRCUB5eWV9m4UC0D03lwt79uTrvXoxvIkBSrB2LQ++/DKPDR7Mo4MGsbKwcE+HnVHtJsA5JO0XtXx5CeXllTUWjVZUOJ5/filvvVVdTKCwsANFRR2qykJPnbqWdevKOPfcYXTuXL3GBaixTmfsHj4pDlm/fqe2gh07+L933+WTK1ZUtS0tLMSco/+2bQBcPGcOQzdv5uqxYylLX53qHAfX0aeIiNQtKCyk5NCd96/YG73Qty9XZ2Cs/UtKePDll1v9cbPF/it2f0xrKcnN5eeHHFJ1e8LKlZy8dGkGRyQAa9eWEsdrePfdNZSW7rzEJigs5PJevTi3e3c6NcM6mR7bt/PVDz/k/A8/5NU+fXh4yBAm9+xZ54XzvV12BTi7mN7qA2A2GxhZUeF47711fOxjvux8aWkFDz00n3nzqte09OnTiYkT96Nz5w488cRipk1bC/hA5tZbZ/HFL+7Hvvv6ahLr1pWxYEH1Qv8vL1w49LwFCxY2auxBkA9sBPIHbd3Kx9as4Z2efnz7btvGDZMn11hz80avXvz4sMPIcY7rpkxhfFJ84PiPPqJ/SQnfO/xwVifVLoK1axlQUhXxbwO6EcftZ0onm6bDpfk08/MirPfGXiKKqlMp9DdRJzN7Ofn2GOfcq52q2+cC1zjn7kr2ovg68DVgFP41dR5wh3Pu1uR4l7RXAmXAu8D3nXNT0x7LAeuA4c65DUnbAGAJMNQ5tzDt2EHAAuAV59wnAQiCLwL3gE9fLsvdeW1oSyur+YFqPnE8vNUH0Vqy/G/mE1HUA1iTuv36vvt2z588WVdGd6eO50Vx2kafTVFZ6fjww41Mnry6xufSNGXAfcDNb2/d+nZTH6dKEPTBv55dAgwAXx/6uBUrOG7FChZ17szDQ4bw5IABbO7YcU8eqVU3+syuAGf37sRvnMQrr3zE/vt3o6RkB/fdN481a6o379x/f19MIFWI4MwzB9O7dwEvvJAqPrCdv/51FmefPZSRI7vy4ovLSNsb9KX0N6YGi+MyguAfwFcBvjFrFhcddRSjN27kt2+/Tc+y6kVl9w4dyo1pxQS+fcQRXPH++3xhwQIADti4kbtfe43vjRvHnC5d+OYHH6Q/0t/bVXAjItI4a/FlWI9wde/6fAdwAvAN4AWgBAiAq4Fb0447wTn3upkVJ+2PAUNq9eWAnwC7W7P5NWADcJyZjaxdGrZ3Mouf0q+khAkrV/LxlSs5cMOGGvctLirijd69eX3ffZndpUtVQZui8nLGr17N0StXEqxZQ35F9dXijR07Mql3b17r3Zt3evSgPAmmOqRvACRtXe3pgf8NouhHcRhmfvFZO7F1aznvvLOWOF7Nxo11fkybD/wZuNM5t7bZHjiOVwDXEAS/xK8mvRz4VOruwVu38r2ZM7n8gw94ZsAAHh4yhNldd9qYdK9jdb9+Z6fkjWYB0AOgf/9C1q0rS99QiU98oi/HHtuXnJydL9bMnr2BRx5ZwPbt1S/qI0Z05cMPN6Yfdoxz7tUmDTAIhgGzSQLPN3v25NB168hP3kR2mHHdQQfxr8GD6zz9swsX8sMZM+iQ/E5Lc3KY2r171ewOsAPYjzhe1KTxiUibFaTN4MRhmNVXo5sqmcGZBHwFP+Nyb9I+F7gGmAu8BhzrnHtlF/044Gjn3OvJ7VOAJ4Fezrk1acd8B/glcIBzbkFdMzhmlovfTfz3ybiec859P30GB3yKkcOvySysaFi12NKcHCqSAKegooKGzAGVm7E9ubjWuebjZPcMTjsQRNE1wFVpTX8BvhGHofbNawRLm8HJy8vhqqvqTx91zrF06Vbefns1M2eup6Jip8/kDngaXwr6Oedc61xVCILRwKXA+cBO5dSm7bMPDw8Zwot9+1Zd8KjLz6ZO5fTqdeOtOoPT9gpb7wHn3Gb8RkYALFtWUhXcdOhgnH32UD75yX51BjcAo0Z146tfHU23btVTdLWCm9uaHNwAxPF84Gepm+PXrKkKbjbk5XHZ+PH1BjcAjw4ZwuXjx7Mx2QOnoLIyPbgBuErBjYjILm3Fvw7/wsxqr9Y9GVi2q+CmNjPrhg9MVuFnYdJNAR4hySyox2nAvsDf8bNHX6ljXBRWVNC5oqLBwQ3494jOyXkNTXDLc67qHMk6If7DdMolwBNBFO1RXpLsbPv2SqZMWcNf/vIBf/3rbKZPX1c7uFkL/Bqfwnqqc+6ZVgtuAOJ4FnH8baAf/nkwPf3uQ9av5+fvvsvTL77I5R98QJ+SnQsfZFq7CnAAnHMP4lPVqpjB+PH7csAB++z2/H337cRnPjOAjh13+q9bBHyzGYb4S/wVxCrbzfjT6NG804Cyf1N69ODPo0ZRvvOCsNeB3zTD+EREst2d+Cuw367V3gtY1sA+njGzTcB6YDxwpnOurivhPwZON7Nx9fRzMfBUsrfF3/FXUz8LvIifAXoBKK91ThnwDD6NbgTQM/kaAPwPcG8yrtpiIALGpZ3TC7/Pxo34GazaFuPTZr5ez/iljYjDsAL/3Lo3rfkz+NlDaQZr1pTy7LNLuOGG6TzxxCJWrNhW+5C38BdEBjjnfuScW9D6o0wTx1uJ41vxG8RPwD83ql5v9tm+nQvmzuVf//43N0yezPhVq7C9JDOsXaWopSSLRF+h1iZHnTt34IAD9mHo0GJ69+5Ely55mBklJTtYvbqUZcu2MnPmuqqqamnWAyOaLSfSFxz4ABia3ry0sJAX+/VjavfuzC8u9nvbOEeP7dsZtnkzY9et4/hly6qqqqWZBxygtTci7ZdS1HYvSVF70Tl3jZmdhF/IOxz/oeMaYCTwZefcgN30U5WiZmYj8Olp1zvnbqvnmF8BRwETSUtRM7PB+Lz7s5xzjyfnPYRPdTu26gH9e0b6Vfay3b7eB0EukF7ys4I43v1l2CAoghrbo2whjtvfB4kslmz2+QvgyrTmM+IwfDxDQ2pTaqeoXXnlWObM2cjbb69i/vw6aw+U4gOHm51zU1pxqE0TBPvi14t/HRhY++4lhYU8PGQITwwcyHfefz9jKWrtMsCBqiDnduAkoG8TuynFX0X7qnNu1e4ObpQgKMBfrTseaOpqrg34q3vnEcfakVikHVOAs3vpAU5y+3n8xaZTqLkG5xPOudd20U/tNTjHAU8AI51zy2sfY2Zdk77/D/gD1QFOak3EanxFNvBBSTEw2jk3uzl/fpGUJMiZCwxLmr4Vh+FNGRxSm5Ee4Jj5ICd97XaaufjZzxfwmTtVrw97MzPbAhzvDjvsbfxr42X4wis1lObksCUvL71IltbgtAbnfRXYD/gp0JiK9NuAvwGjnHOnNXtwAxDHpcTx5/FXD3+PLyHdUBuAG4DhxPE5Cm5ERJrkB/gUsV4AScByF3CvmZ1hZkXmHWZmT9bXiXPuP/hZoJ/Vc/9GfHBTdb+ZdQAuwKctH4xPERmLn0WalYxLpKUMp+kXf1ucmb1sZmVmtsXMNprZVDP7fKbHVZtz1A5uKoHH8al/o5xzNzjn3nPOFe0NwY2Z5ZjZT83sQzPbbGZrzeyN5CINAMlYJxHHO2zKlI02Zcqn8CXzf0faOsOCysoaFYBbW7sNcFKccyXJ1boBwHH4X9AL+DzrUmA7fq+CSfgZny8CvZ1z5zvnWn6L3zheSxxfgV9kejpwMz69bhU+z7o0+f6V5D6/IDWOv0ccr2vx8YmIZCnn3DTgfmpWEboQXxQgxL/2rgL+CPxrN92FwFfNbL967r+FmutiTgO6A79zzq1I/8K/T9VZbEBkTwVRFOBnKlNbQS0FHsjciOr1c+dcEb4y7l34Cw/1/X1lWjn+dWOYc+4M51zrVURrnB/hP+ee7pwrxpe2/zn+wn794ngOcfxdoD++rP27LTvM3Wu3KWoiIiIiUi2IolOAh6gObrYDR8dhODlzo9pZHemknYEtwOedcw//P3vnHWZFef3xz9llkSpVEFCavaAoYxfFEmOv0dhLojExxqiJGmzDa+zdnxrFErFEjRp77AW76NijoCICgjRp0mF3amTfqgAAIABJREFUz++P973s7OXusiy7e3fvns/z8HDv+74zc+7duTNz3vec7xGRg/HROesBU/CFev+V2n5XfNjpZvhVlWdU9aRU39XAxmHbG1R1eOgbgk9NOB7/4L82XgnxdOA64Ff48LRMbsp7YR+dgM/CdouAW1T1yrDPvvgSJuuq6iQRGYbPER+FdxYAblPVOIxvAzyAz9trgw91O09VX07tbziwHV5mehxwdCakVUROwQuorBv6zlPVl0LfM8BoVT23mu9eg33j8DnerfDqkwB/VNV7WxUV9e5UXDxiser2rURaH9CxI+evvfZpfb/44raq9lvXNPsVHMMwDMMwjOZO5NwA4BEqnJvZwF6NzbnJRkRa4mu2AHwjIr8A7sarDHbGq5LdIiK7hPFbAC+GMT3wD/r3hb5+wAv4FdUu+DowV2SFvxUDQ4ABwCb4cLP38cV8u+AVa5cCO6rqjsAXeIdgWjjeQcDZInJUNR9rF7xCYU/8au75IrJT6CsCHscrJHbBi6H8R0TWCv2Xh22745UQTyKEjonI7/CrNMfgna4LgMdTK19vAieLyFARGRwcx5yEkLp9gLIQttZOVe8VkVZLVF+bWlr69pyysi5ndu++wVvz53/9y2+/Pbiaz1vnmINjGIZhGIbRjImcWwN4ggplvfHADkkc17jmUx64QETm4FdELgVOVtXP8asTN6nqW6parqof4Fc8jg/b/R6/YjNCVZeo6qKQJwdeyfBjVb1HVUtV9X38asjJVOaCkOIwERgJfK+q/w1hZ3fjVQ3TqoRTgKtUdWlQSrsD73hUxTeqenuwYRTwKRABqOp8VX1AVeep6jJVzThU24Rtl+JXlvqrapmqfh5k5gHOAC5R1c/Cd/Mc8DpwZOi/NowZjM8VmiUiT4nICmpp1bA/PkLsYlVddN6kSWPHLF58zDdLlgwJhYsbBHNwDMMwDMMwmjft8OFcGfZL4rixq/Rdpqod8asUzwG7h/Z+wHkiMifzD78S0zP09wW+qWKfmbCtNN9RWQ65TFVnpN4vxDswgM/tDi/bp8ZM0Mo5IePxud9VMSXr/YLM/kSktYjcLCLjROTn8Pk6EcRQ8OIo3wPPiMiUMLZd6OsH3Jr13eyGz53JCHA9oKr7qmonfBhcX2B5eF8N6Af0zjrGq/hwubVXYT+rhTk4hmEYhmEYRpoN8m1ATVHV2fgVln1F5CB84fVhqtox9a+9qu4bNhlP1Z/vB7JqEOKlsn/IMXZV6BPKk2ToixdvqA1nA7sCewAdgpM3m1CfSlVnqOoZqro+sBM+nC6TUzMB+E3Wd9NOVf+wwlH8vj7CC2wNrMKWXEIJE/ArUB2z/rVS1ZoWSl5tzMExDMMwDMNo3swBXkq9fzhy7rB8GbOqqOosfHmMy/GlNc4MOSTFItIySLlHYfhw4EAROS70tQ7iAeDzWQaJyPEi0kJEtgVOxYedrQ49gHNEpEREtgJOwZcbqQ1r4lV0ZwItReRioGOmU0R+LSL9gkM1Fx+yVhq6bwCGicjAIHHfWkR2FpGNw7Zni8g+oTYXoVDx8XhVvVxMBYpD7lKGZ4ESETlfRNqH4/QSkUNq+XlrhTk4RqMkS+M+/W9APR1vhIjctYrbrCUid4vI5GDbFBF5XkQabe0Ao/kSOaeZf/m2xTCMxkUSx2V4eeDxoakV8Fjk3F/zZtSqcxPekeiJrxN1DfATQQkNH4aXkX/fFy9MMB2fkH9c6Ps+9J2OdyDuBy5W1UdW07a3gm1T8Q7ATcCDtdzX9XiH9Ed8+NxCKv5uAFvhS4fMB74EPsbn1qCqd+IV4u7Br/pMxKvNlYRtfw7vx4kv6PkK8BFeqGEFVPUbfImSD0I42nEhRG8PYFN8za65+BC1qlaB6gWTiTYaJdkSkA1wvBFAqapmJxJWt82L+B/u6ao6XUS64dVUXgq1Kgyj0ZB2bJI4lurGGobRPImcWx+fz5IO4TohieP78mSSYdQKW8Exmhxhded6EXkiVNr9TkT2EJE9ReR/IenuCRFpn9pGReRM8dWO54nI6xlZRBE5Fy+ZeEJqpaiLiCwKS8npY78pIheFtzsCI1R1OoCqTlfV+zLOjYicKCJjReS8sLozXUSuE5GS1P7uEZEfgk1ficjRWcfbQkReEJEZIjJLRF5O9fUWkcfCvqeIyB3pz2wYhmEYq0ISx2OBHfBywRmGR8416Oy7Yawu5uAYTZXjgKvwcaf/xi8j/w6vHd8X2Aj4U9Y2v8MX4eqGX7Z9WkSKVfVqvELIvSkt95n4YmfLV3REZEP8hf+foelN4BoR+Z2IbCW55Q/7AL3xSYo74PXs00v+b+OXbTsClwAjRGTTcLwe+GXmN8JnWjt8ZkSkFfAa8FXY96Z4RZabVv7VGYZhGEZukjieiZf6/Sk0tcLLBhtGk6GgHBwR6S8ij4rI1DAL/0OYyW+Zb9uMWnGBpGQGxUsNZnhEVd9X1TK8vn0P4BpVnRWSDZ+lQhM+w3WqOlZVF+EVRdbDV/qtijuAo4MzAfBb4IWUCsivw7FPAt4FZorIjanx4BVGzgk6+9/hY1+Xa9+r6t2qOjNo1T8MfI5XPAHvxI1V1StUdUHQz38l9FXSmQ8qMhcBx1ThaBmGYRhGTSkjt0KWYTQJCsrBwceNTsHP3rfHz5i/SJDOayyIV/UotO++PrgsW2Yw1ZfWiF9YRVt2uNb4zIuQBDeDanToVfVtYDLwKxFpgU+yuzPVPz84HzsAHfBKIycB56d2Mz2liZ+xYR0AESkSkUtE5GsRmRscuC2p0LLvS9Va/Y1CZ94wDMMoLCLnOgBP4qMdAJYB7+XPIsNYdQrmIVtEuuAdm9tVdW4oVjQpVIJdIiLDRORVEblBRGaKyCQR+Vtq+zYi8nhY/flZRD4WkV9kHWNXEXkr5EL8JCL3pPo2F5EXQ/tEEbkik2shIn1DDshvReQr/MN3N4yGpm/mhYi0wTsSGR36qmaq7sCv3OyPn9H6b65BYXXlabziSDpWuVs4VtqGzDGPwofAHQZ0Cg7cZ1Q45OOpWqu/UejMN0WC0t254XXmt1ldwTXDMAqEpvT7z4d9kXN9gHeA9PPP6UkcJw1lg2HUBQXj4ISciS+Bu8Trl28qItkrN7sA0/DhTAcBZ4vIUaGvCHgc/0DZBa+F/h8RWQt8sjd+NejusP26wH2hrxs+T+JxvDzhDviLw9Cs4x+Nr7TbHr96YDQsZ4nIeiGE7Ep8teJRoW8q0D/Hytp9wLZADNwTQuIAEC90sI2ItAqrMUPwFYHTevFFwJXiteb74/NvMtr3a+K16WcARSLyG/wKToYHgI2CSEEb8fr5e4S+RqEz3xiRyhLjc8ULSxye6VfVfULelWEYBYb9/mtP5FxH4GVgs1TzsCSO78iTSYZRawrGwQkMAUYCZwKfAtNE5KKUozMFuCrMtn+En50/CZaHGz2gqvNUdZmqXoMvjpTJ4/g98IyqjlDVJSHv4fXQdzzwmaoOD/ueDFwR2tM4VZ0axpRhrIyLZMU6OPuvxv7uwjuhM/COxEGpv8NdQFt8Hs2cTB6Lqs4BHgvjswt9FeG15Kfj9eT/gdeavy41ZgI+zO17vDP1Aj4PB7yjMwoYG8ZsSso5UtUf8ef0L/CrPtOA80Jfo9CZb8T8XVXb4ScrRgAPSlDNa05EzhVHzg2KnNsrq71/vmwyjAbAfv+rSORcEV6sJxM1sAw4Loljlz+rDKP2tMi3AXWJqv6Ez384P4QFHYHPmciE7EzQyoV/xgOHAohIa/yD535AV3zIUnsq50N8UsWh+wE7ZSXBC5Cd7D1+VT9Tc0VVh1TT/WzW2PFk5Vmp6rAc2yWqemMVxxtH1YID3+Nr8nyftc2Z1diYHncVQf0sq30hcPiKW1Qa8wmwZxV9PwDH1sSG5oqqlorInfgibwOBsZK7xtLeIWwlsxp7Skb+O4S/3oB3NAW/knuWqs4SkcOoXI1agDb4QmtDgamq+uflnX6VbiiwIT6n60LgVuAv+Dyu4fjJkTvC8X4ETg75YJl9nAL8Gb+KPA44T1WXVyAPDyrbA0fir4Hdc3w130XOfYxfqX4kieOJK/82DaNpUd+//9A/Hv973QN/DxkP/E5V3w39I8iqsRa2uVBVHwjvdwUuxa+clOMnU5eL0aQRkYPxgjLr4SdtL1XVf4W+dfCTdYOAlnjRmjPDhC7Fa6wxqHzp0puAAfiQ6zHAfqo6e9G0aV3nfP31/jM//ZTSBQuQFi3GlS5YMJo4Xun3HDkngCRxbKIERqOh0FZwlqOqC1V1BP4HnpnV7pMVttaXinyIs4Fd8RepDiEfYjY1z4d4JSsXokOYQUpjP/4mhoh0B07B5JebJOIVFP8Q3lYl2AB+tXUXvKR3OT48MMO/gE741bJN8BMg9wOo6n9S0uLtwtj38Q8Ow4FjRWSN1L5OBu5OTbT0wUuE9wd2xkubP4+vwN0Jv+KYzvX7HX4V75jQfwHweGZ2OnLuOLxD/k7YVy7nJsPW4TgTIudGRs5tWs1Yw2hy1PfvP8VvgDPwkxQvU3nSY2U2Vhn+nmPsL8K4M4HO+EmSW0RklzCkCB9J0AcvNvMx/vpQEjk3sFWXLm+37t79q7Btd/xzz1KAr++5Z+icr79mg2OPZcvzzqOkXbt7gRdFpFN19kfOdcYLElxU3TjDaGgKxsERkU4hsX/zkKvQIsyubk5F2E8P4JzQvxX+wTWdD7EEmAm0FJGL8Q8eGYYDB4rIcSLSMuRUDAl99wGRiPwmlY/RX0T2rt9PbdQnInI9fob8GVXNKS5gNFouCCuqi/Azoyer6ufVjM+Ej/4MnAP8QkR6ikhP4JfA2ao6O8hxnw3sK75O0XLEF4AdAhygqouB1/HXk0NC/yZAhA+ZybAoHHupqn6GF5n4UCtLoK8vIh3C+DOAS1T1M1UtV9XngNeLSkqOi5y7H38t6p22q0vbtmzbr1+lD1tSvIKS+K5AEjn3m2q+I8NoKjT073+4qn4ZfrN3Ufk3uzKqC3/P5s/ATar6Vvj9f4C/RhwPoKoTVfXpMMG7CL9C3LtNz55bAo8UtWzZqk3PnidveNJJfx80bFhZuM4sEBEpW7z45F677z5tjc6dkaIiNv3DH06S4uKf8FEtOYmc2x4f2XIgEEfO7V7Dz2wY9U4hhagtxS8vP453ZErxqy5/UtVHRWQzvKPTA59Qvhg/K/9g2P56/Izmj8Ac4EYqywp/JiL74i+WN+PjU58GRqrqVBHZDZ+4fjnQOmw7vN4+rbFKqOoqS4Wr6tn4m1ltjzmCyg+zRsNxmapeGmYf78aLe2TnUKUZn+P1OlSs4KbDE78L/69LkCYXkeOB04EdQ6gsqqohPOZk4OHw/7OqOjW1r+mqml7ZXUhuCfT2+DyrfsCtIvJ/qTEtOmy00TakVmvWbNWK3TfZhF8OGMDWffpQXFR5Lmve4sWMHDOGl/73Pz4YN44yv6DUGrg7cq5HEseXrfANGUbToUF//1T+zS4I/2d+syujL1WHv2fTD9hNRNL3pWLCJK6IdMU/ywzBT9CWA7RZe+1BQNe+Bx/MlDfekO8fe2yoqp7Z4sor/1G2ePHf8CtU7b594AGKWy4vG7iBFBXRulu3Hai8opUJSTsb/8yTeY4UYCd8AWrDyDsF4+Co6gK8nG91lKvqWcBZObafRmVZRPAJ4+kxrwE7VnH8r/CzGLn6xtPIavEYRnNAVWeLyMnAdyJykKo+VcXQvlQ8uPQN/0/K6h8bXmcS9H+A5WEj/wfspb6Ya5oRwCUishG+cOsJtfogFUwAYlV9FJY/aDyIz7cB4ICBAzlnn31o07Lq+sbtW7XigIEDOWDgQMZOn875jz3GuBnLhR0vjZwbncTx46tpq2HklYb4/deA+XixAwDE11RLl4kYT9Xh79lMAEYEEaRcXIGfxN1OVaeISHvg558+/vjrPgceuNUanTo93Pfgg7cHWDRtWutv7rvvrPb9+y+ZN27chcACVHcfOHTouvhrSia09qTIuTuTOP4UIHIuI9yQFvyZA5yUxPGTNfwchlHvFEyImmEYRi5CMvD1wOVSdYHdi0Sku4isiReEeFVVfwxKdi8B14lIxzAjfB3wfHiA2AL4N3B8CBfJPvYM4Cl8Mv8ifKz96nADMExEBoqILJs//8T5EyYcuTg4J2futRfxQQdV69xks363btx78snZYWwjIue6rqathpF36vP3X0MTEmAPEekX8vEuA0pS/dWFv2dzI3CmiAwWXzC8pYgMEpEo9K+JX/WdLSLtSInbJHE84eNLL71z0bRptwEUt2qFFBcXddlii78NGjbsXHxEy7UfDRv2BbBH2ZIlM+eOHcvSn39uDTweOdc5cm4H/GpT2rn5ANjKnBujsWEOjmEYzYGb8DOb2dLtGR7Ah3n8gFcfSqvTHQvMwwsHjMHPVmb2cyg+sfjBLDnzAanth+NV1f6ZFY62yqjqnXi1x3uA2V/eeuudU958Ey0v55Ctt+bYHXao1X5bt2zJlYcfTq9Oy/OJ2+OV3QyjEKiv339N+Bc+nP1j/CrRRCqUXQm5d/vixRCmh/7jcu0oqCX+Di8O8hM+NO4GICNoFONXh2biBZbexaul+e1LS3f96rbbDvnIucVj7rqrvPOAAXTeYosi4MqtLrpo6xZt274CPPXRsGHPf3rVVTrjww/L8eGr/fAhfm/iQ/MyXA8MTuJ4/Cp8H4bRIEhl1WTDMAyjLhGRfsC3QL8g7V0nhNo2L4IPOXv6z3+mfatWq7XPV7/6ivMefTTzdg7QNYljq9llGAVG5FxvfG5gelZkMnBkEsdvh/DXb/Fy1NnMBk5M4vjp+rfUMGqHreAYhmHUEyHe/jzgibp0bgIZaVj2HjBgtZ0bgN022YQu7Zar23fEq1AahlFghNpXu1JReBqgFzAycu5vVNTayWYUPiTNnBujUWMOjmEYRj0Q4uLn4pWF/loPh9gy82Jg797VjasxRSJssc46OY9hGEZhkcTxsiSOz8Pn1MwKzcV4sYKLc2xyHbBLEscTGshEw6g1BaOiZhiG0ZhQ1QRoW4+HWL5ks2YdrN4s31fr1jmPYRhGYZLE8X8j5wbiQ9YySrHpYlmzgROSOH6mwY0zjFpiKziGYRhNkzmZF1Pm1qTcRs3I2tecqsYZhlE4JHH8A3A+XlAhmzsBK3ZtNCnMwTEMw2iajFr+Yty4OtnhoqVL+eKHSqlC79fJjg3DaLREzhWFvJtX8QqK2ZwLPB851y1Hn2E0SszBMQzDaJq8knnx+ujRTJw5c7V3+MiHH7Jo2bLM27EhEdkwjAIlcm4t/OrMFVSEpc3CFyV+JzV0L+DTyLldG9ZCw6gd5uAYhmE0QUJl8VcAylW5+IknWFpaWuv9fTN1KneMHJluurqKoYZhFACRc4PxhTv3TjW/CwxM4vg+YAje8cnQA3gtcu6CyDl7fjQaNXaCGoZhNF0uJBTy+9/kyQx97DEWLl26yjsZO20aZz30EEsqHKQxwL11ZqVhGI2GEJI2FHgdLw2d4WpgSMjHIYnj0iSOzwf2wRcWBf/ceCnwgoWsGY0ZK/RpGIbRhImcOxNfzRyA3p07c8EBB7B1nz6ISLXbLl62jCc//pibX3kl7dzMA7ZN4nhMvRltGEZeCCFp9wO/TDXPBI5P4vi5arbrBTwEDE41TwGOTuJ4ZD2YahirhTk4hmEYTZhQcfxqsmrt9OjQgb0235y9Nt+c9bt1o7jIL9gvXraMUePG8dL//sebX3+dzrkBmA8cnMTxqw1lv2EYDUPk3C54J6Vnqvkd4KjMqs1Ktm8BOLzaWoZyYBhweRLHZXVnrWGsHubgGIZhFACRc8cD/6CK2jutS0ooKy9naVmVzyBfAEcmcfxVPZloGEYeCPkyQ4FLqJyacCVwcRLHy3JuWPX+fgk8AHRNNb8CHJvE8bTVNNcw6gTLwTEMwygAQlLwVsDd5Khfs2jZsqqcmzH4XJ5tzbkxjIJkF3zeTOaZbyawbxLHQ1fVuQFI4vhFYCDwZqp5T+Dvq2uoYdQVtoJjGIZhGIZhGEbBYCs4hmEYhmEYhmEUDObgGIZhGIZhGIZRMJiDYxiGYRiGYRhGwWAOjmEYhmEYhmEYBYM5OIZhGIZhGIZhFAzm4BiGYRiGYRiGUTCYg2MYhmEYhmEYRsFgDo5hGIZhGIZhGAWDOTiGYRiGYRiGYRQM5uAYhmEYhmEYhlEwmINjGIZhGIZhGEbBYA6OYRiGYRiGYRgFgzk4hmEYhmEYhmEUDObgGIZhGIZhGIZRMJiDYxiGYRiGYRhGwWAOjmEYhmEYhmEYBYM5OIZhGIZhGIZhFAzm4BiGYRiGYRiGUTC0yLcBhpFPnItaAP8Ejks1LwT+GMfJiFruc3/gXqBzqvkF4Ig4TubV0lSjAXEuagM8BByYap4LnBTHyRO13OfRwHCgXar538DxcZwsra2tRsPhXNQJ+A+wW6p5OnBMHCev1GJ/AvweuAFYI9U1HDgtjpPy1TDXaCCci3oATwHbpJonAL+O42RULfZXBJwLXAoUp7quiOPk/NWx1cgvzkXdgRHA3rXYfC7wuzhOHqlTowoUUdV822AYeSU8ZJwI3Aq0TnXdi3d0FtRwPyXAZcA5qeYy4ALgGntYaVqE8+JM4GoqTwbdBJxbU6fEuah12OaUVPMS4M/AHXGc2EW4CeFcVAxcBFwMSGhW4O/AJXGclNVwP2sCdwJHpJrn4x9gHqo7i42GwLmoJXAV/pqRoRQ4D7ihpr9z56K1gPuo/AA8Ez8R8lwdmWvkAeeiHYHHge7p9tatO7DJJrvTtWtfWrZsQ3l5KQsXzmHs2HeZNOmLXLu6HfhTHCelDWB2k8UcHMMIOBdtBjwKbJJqHg0cHsfJlyvZtjfwMLBDqnkScGQcJ+/Uta1Gw+FctB1+paVPqjnBz86OW8m2GwOPAANSzd/iV/M+rWtbjYbDuWgP4F9UflgZCRwdx8mUlWy7Ff5as16q+TP8efFNHZtqNCDORQcD9wAdU81P41d/Z61k28H4+0jPVPM7wFFxnPxQ17YaDYdz0bbAG0CrTNuAAXszYMA+9O+/HcXFuQOqZs+ezJdfvkySPMbcuVPTXf8CjrMJsqoxB8cwUjgXtcWv5JyQal4E/BEYketi4lx0AH61p1Oq+TnghDhOfqpHc40GIoQm3QMclGqeC/wmjpPHq9jmGHyoUdtU80PAqRaqWBg4F62Nf9DYPdU8HTg2jpOXc4wX4A/4kLSWqa7bgbPiOFlcj+YaDYRzUV/8pMi2qeaJ+EmR93OMLwL+hl8FTOdGXwlcHMfJsvqz1qhvQljaR0AvgDZtOnLooZey3nrb13gfixfP59lnL+PLLytdVv4ax8l1dWpsAWEOjmHkwLnoROAfVA5Zux8fFz8/jCkBrgD+khpTBgwFrrOQtMIiPJyeAVwDlKS6bgbOieNkSRjXBvg/4LepMUuAPwF32YxbYRFC1i4AhlE5ZO0ywGXCSJyLOgB3Ab9KbT4POCWOk383mMFGgxBC1q4Ezko1l+Idmesz1wHnom74e8teqXEz8bPzzzeQuUY94lx0J3AyQKtW7fntb++ha9e+q7wfVeXZZy/n44+Xp4EuBdaL42RSXdlaSJiDYxhVEELWHgE2TTWPAQ7HP5g8DKSnYH7Ah6S922BGGg2Oc9E2+POib6r5I3wuRUt86NHmqb5v8KFHnzWUjUbD41y0G/AgsHaq+Q3gaKAH/pzpn+r7FH9efNtgRhoNjnPRQfik8nTI2rP4vM/N8au6PVJ9b+ND0uyhtQBwLuoDjCXkcR511A1suOHgWu+vrGwZd999ElOmjMk03RLHyZ9W29ACxGSiDaMKQt7NtvjQpAwb4x9mv6Syc/NfYCtzbgqfOE4+BLYC0mpqg4D/AZ9Q2bl5EIjMuSl84jh5HRgIpNXUdgW+Bt6jsnPzD2AHc24KnzhOnsJfL9JqavsD3wGvUdm5uQLYzZybguJQgnPTp8/Wq+XcABQXl7D77qelm34doguMLMzBMYxqiONkQRwnv8HPti0MzS2pyKsoAy4BDozjZGbDW2jkgzhO5gCH4ZXQMvHxralIIF2MV0071vJtmg9xnEzDq19dDGRCVNtREdI4D5+H8UfLt2k+xHEyHtgFSOdLdKDiGWwucFgcJ+ebMlbBsdyj2XzzvaobV2PWW297WrVaM/N2LWCjOtlxgWEOjmHUjDeAH3O0F+MfZsY6F/0liBQYzYAQQ/8KPjQxm++B1y3fpvkRZKKfB6bl6B6DV8UymhlBVv5ZKibK0nQAHnMu+sC56PAgOmAUBsuVEnv02KS6cTVGpIiePTdON/Wrkx0XGPYjMoyVEGKoPwHWr2ZYP+BaYIxz0abVjDMKBOei44EPqRx6lGET4GPnosMb1iojnzgXiXPRn4B3qRx6lGEb4FPnol82rGVGPnEuKnYuugh4FWhTxTDBnx+PAK87F3WsYpzRtFgePlZUVFzduFWiqKiSrLQ9y+fAvhTDqALnopbORTcAT1KRIFoKXAi8HF5nsw7wljk5hYtzUVvnonvw0uCZh5Vc4UZrAo84F93qXNQqR79RQIQH0sfwCnolWd2vURGy1hV4wbnocuei3MUvjIIhSAS/gA9lzjxzzcDLhX9exWa7ACMtIqAgmJx5MX362DrZoaoybVql9L1c0SXNHnNwDCMHzkX98Go26arUE4HBcZxcFsfJXsAW+MTybDrjw9aMAiM4rh/gc7IyjKFyvQuAdAHQ04B3nYuqWwE0mjBBWe9jfEJxNsPjONkDXysnXQB0KH6mfp0GMNHIA0FZ71Ngz1TzG8DAOE5uj+NkS+AAIFcB0C2pfJ0xmiZvZ16MGTOyTnb4449fMW/ejMzbn6naUW7WmINjGFk4Fx2CD0nbJtX8NF4lbXmRtjhORgPb4WtbZHOEc9G69Wqo0aCE2kgfUlk2/H5gmzhOvsgavjV+Nj/DVviQtV/Xq5HqDtnAAAAgAElEQVRGgxJC0v6Mz6tJx8HPSb3+H0AcJ2/gVdZeSvXtjA9Z26e+bTUajhCSdjE+Ry8jG67ApcCecZwsn3GP4+RZ/PXhvRy7Glrfthr1ztOZF2PGjOTHH79arZ2pKq+/fnu66b8h78/IwurgGEYgFGa7Gq+MlWEZcB5wY3UJ485Fx+KrkadDCl4HDjIVraZNCBO5FTgh1bwI+CMwIlWwb/n5EceJBOnO04DrqVy1/jbgbFPRato4F3UC/gkcnGqeiy/wejQVqznzgUPiOHklbFdd1fqLTEWraeNctDbwL/yKXYYZwDFxnLyce6vlhaMvBc7N6roIuNwKRzddnIueIFwnOnbsySmn3EebNrVLsXr77RG8+uotmbcKDAglLYwszMExDMC5qD/wbyBKNY/HS7p+UMN9bAwkVHZyvgUOtzooTZNQ7PVRvGhAhtH4v+mXWWMrOTip9q3xicPrpYZbkccmjHPRtvjrRd9Uc4K/XoxzLupMZQGKUuD3cZzcndrHLvgijz1T+3gHX+QxlzKf0chxLtodX/uqe6p5JN65qVGehHPR/sAzWc0vAMfHcTIjxyZGI8e5aCP89aEdwFpr9eeII66ma9e+Nd5HeXkZb7xxF2++eWe6+eY4Ts6oS1sLCQtRM5o9zkWH4uPn087Nk8DWNXVuAkuoqIOSYQNglHPRqVaMq+kQQo9Owj+kpp2be/EhaTWeMYvj5GN8yNojqeaB+JC1I+vCXqNhCOfFmfi4+r6prpuAneM4GQcQx8ks4EAqEoxbAHeFc4ow5k38efBiaj87AZ84F+1bbx/CqHNCSNowfEhaxrlRvLDAnjV1bgJr5mjbG39erF6VSCMvxHHyNXBc5v2MGeO4445jeeONu5g9u/qarqWlSxgzZiT33ntqtnPzFvCXejG4QLAVHKNZE1SMEnxCJ/iQtL/iZ0ZW+HE4F3XFP7ishZ+NmYCPne6Az8fIzNh+BfQOYwAmAZvFcfJz/XwSoy4JYWlfUJFXsQg4LY6TEdVsk3MFJ9UvwKnAjcAaoXk0PuF4ad1YbtQn4ff/JdAtNM0FTorj5IkqxvfC1z4ZGJqW4B2hJDWmCB+WdCm+rhbA+8BOFpbUNHAu6ou/XmSu99PxqzavVDF+A2Av/H2jFT5PaxQ+J+tOfNFg8Ct6O6U2fTaOkwPq2n6jYXAuOhof1rpGur1Xr83YbLNf0LVrP9ZYoy1lZctYuHAOY8e+y+jRr7FkyYLsXb2KLww7t4FMb5KYg2M0e8Ly8Uf4OOkj4jj5sIpxu+IThFvm6k9Rhr95TcbP2m8G7BrHiRX4a0IEZax38GGGR6xs1WZlDk5q3Fb486IXsG0cJ7mU+IxGinPRL/CrLpmQtO9XMr59GLthaHowjpNjcozbGXgYH+I6MI6TCXVquFGvhNXYh/C5l8fEcTKlinHnAlfVYJczgM2BQfjJsyX488LC1JowzkVb4H/ntan6WQ4Mw+dkmbDASrAQNaPZE5aP98OrpOV0bgIHsnLnBvzF57Ww3+2B/cy5aXqEc2E/vBNSZ0mccZx8gn9o2d+cm6ZHSBTfD78SU61zE8bPw0uLZ8jp/MZx8jZ+pWd/c26aHnGcPIyXfP5FVc5NoKbFfw+N42R6HCfP48+Lg8y5afrEcfI5Phz+WPzqbk1ERcYBl+MFBf5uzk3NsBUcw6ghzkUHAk/VYOgCYJeQe2E0E2q6gmM0L0LS+BP4PByAa+I4yVbKMpoJzkXX4MOgV8a3QGRhzYVNECQ5FF8rqSPwy1T3dXgxk6Q6FVcjN1ZF2TBqSBwnTzsXDcDPwK0FtMcrrX0ArIuXfe2MDzG5mMrysYZhNDOci07HCxBkoiU+BuL8WWQ0As7Dq6LtjRcUaI3P3/kCn4MzFH++bACcgn/INQqUIEhyV/iXPVFWE0fYqAJzcAxjFQghRTnDipyL3sfn8gAc6FzUP6OqZBhG88K56G/AFamm8fiwo0X5schoDAThiFfDv2xecC6ajneKwddkMwfHMGqB5eAYRh0RQtLeD28FWD+P5hiGkSeci/bGx8xnGAVsZ7k1Rg24Ay8xDbCuc1Hr6gYbhpEbW8ExjLolnfxnEwiG0Ty5jgoxgXfwiee2cmPUhHK8g5M5fyyfzzBqgT2AGUYd4Vy0KbBjqum7fNliGEZeKUm9Hm7OjbEKnEDFs9lUfA0uwzBWEVvBMYxVIBR0+xUVhT7H48PSugE3UzHb9kIcJ9/mwUTDMPJPugDf+c5FL8dxMjVv1hiNhlDwdxu8WlYHfNHH/wGf4CfIrk4Nz1lw2jCMlWMOjmHUEOeiXwLPs/KQgSXAJfVvkWEYjZRTgPfwVeo3BkY5F+1bl/WUjCbLJcCFNRj3A3B7PdtiGAWLhagZRs3Zi5rFQ18Zx8l79W2MYRiNkzhOPgVOwudTAPQG3nUu2jp/VhmNhL1rOO6oICFsGEYtMAfHMGrOC1Q8sFTHUOeiHVc+zDCMQiVV2X5+aFoTeNy5qGv+rDIaAf+t4biHnYu61KslhlHAmINjGDUkjpOXgb7AmcBlwP8BZ+Pjpg8EJoehLfGFPg3DaMbEcfIcMBjIVKPvA1yaP4uMfBPHyTBgEHA+cCW+5s3JwFbA6cDSMHQd4Pd5MNEwCgJRtfw1w6gLnIs2Br6kYuJgozhOvsmjSUYDklWB2qRdjeU4F90DnBjePhTHydF5NMdoxDgX/Qa4O7ydBvQwoYHmg91H6g5bwTGMOiKOkzH4xOIM/fNli2EYjQPnonWpnHextKqxhgHcT0UodHfACn0aRi1oFg6OiGwmIiUrH9lMiKIiomjLfJtRoKSVCWuSr2MYRoESRAVGAWuHplnAsLwZZDQFWlBZzMZWbwyjFjQLBwe4AJggIsNEpGe+jckbUdSJKDob+BoYnm9zCg3nogjYLrxVwOrgGEYzxblod+AtoEdoWgYcGcfJ+LwZZTQFTqXCwZloRWINo3Y0pzo4PYAYuFBEngBuBd7Q5pCEFEWDgNOAo6hY7p6ZP4OaLs5FWwJHUFHocwLwIV4GNi0s8FQcJ983vIWGYeQb56J+wKNAm9A0Bzg0jpPX82eV0RhwLioG9qSi0GcrfKHPL4GdgHNSw29qcAMNo0BoTg5OhmJ8JfpfAV+JyD+A+1X15+o3a2JEUSv8g/hpVKwqGKuBc9FBwJM1GDoPcPVsjmEYjZd7gM7h9RRgjzhORufRHqPxcDVefXNlfA3cVc+2GEbB0lxC1KpiU+AWYLKI/ENENs+3QatNFPUjiq4CJgH3Ys5NXbJLDcfdGAr9GYbRPEmHQl9gzo2Roqb3kZPjOCmsiVfDaECanYOzyy5rE0Vr0bJlpY/eDvgD8IWIvCkivxaRlvmxsBZ40YB9iKJnge+Ac4HlBcKWFhXxXK9eXLvZZnkzsUB4ElhSg3EXOBftUd/GGIbRaEmHPh8cwpIMA+DfNRz3pHNR93q1xDAKmGbn4HTt2pr99+/N2Wdvwb77rkvXrq2yhwwGHgamisgbIhI1vJU1JIrWJ4qeAaYCzwH7kVJfmdK6NbdsvDH77bknF2+9Nf/r1ClflhYEcZxkEoZPAP6KD0M7CdgYv1I2NgwtAi7Kh42GYTQKLk+9PhB4zLmobb6MMRoPcZxcC6yHn1Q9D6+qdxi+sOeRwIIwtAu+8KdhGLWgWRT6FJEH8Qn2HHpoP7bYovPyPlVl/Pj5fPjhdEaPnkMVX8ePwPXA9Y1ClCCKTgAuBNbP1f3uWmvxWN++vN29O+VSoTa5+ezZjHj77czbUSTJ9vVuazPCuagvXjktk9u2WRwnX+XPIqMhsQJtRhrnopup/ICaAHvHcWICL0aVOBcdCTwU3s4Culqhz+aD3Ufqjma3gpONiNCvX3uOOGI9zjprAEOG9KBduxVK5vQErgUWi8hjIrJugxvqJZ7vIormAyPIcm5+Linhgf79OWS33Thj++15c+21Kzk3Rv0T5F/fSTX1yZMphmHknzOB61LvI+BBC1czVsKjQGl43ZkKJT7DMFaBZu/gpFlzzZYMGdKTs84awLbbrpVrSEv8UvJEEflKRA6rd6OiaAhR9AFe1vm3wAphDiO7d2efPffkxs0244d27erdJKNa0n+A0ipHGYZR0MRxUhbHyV/xSpYZ9gL+lieTjKZBayor3JblyxDDaMqYg5OD4mKhV68KP6JlyyKKi1dYDdkEeExE5orIzSJSd/HVUVRCFA0jiqYDrwPbkMqtWQxMTK3OfN2hA0taNEfF78aFc9GuwKDwtgwYk0dzDMNoBMRxchvwn1STqb0Y1XFm6vXYOE4W580Sw2jC2FNxDejUaQ022KAD06Yt4scfF7BgQaWJ+TXxcdanici7wDmq+n6tDhRFGwI3Ar8gx99mogj3lZTwcEkJv1m2jLOXLq3VYYy6xbmoNX517cpU86NxnPyQJ5MMw2gkOBeVAH3zbYfRuAmKaUOBP6eab8iTOYbR5DEHp4a0aFFEr15t6dmzDXPnLmXy5AX89NPitChBEbAz8J6ITMFXIL5WVatfXo4iwStxXQD0z+4uB14vLubeli15vbjY8moaAc5FnYAr8Ktqm+NXbdZIDfkJuKSh7Imc64hXcdse6A3MB6YBjyRxPLa6bQ3DqD+ci4rw8vKZlV0F7sufRZWJnFsziWOrtZIHnIsGAH/B3+a3wa/spW/wH+PzbRuEyLl18PeQ7YEO+ILV3wEPJ3FswhhGk6OwHJwoyqk0clSnTjw0e3adHEJE6NhxDTp2XIMlS8qYMmUhkycvYNmy8vSwHsCVJSJXHtKxI8N796Zby1UrqzMPeKCkhPtbtmRCUb1EEm5X1fcFQFJA6h3Vfc5V4OdW8Mm60LUX/NQ+95gOC+HYUXTtOp+veKZ+FcbHt23LPRtsQHGvXpTlPkcuG7X33mz30091d1A7L6rmgHrcdx0QHVBhYPLMM3W7czsvchID7/aHl0NQ2u6jkcFjeb6+rw01YWz79nTbbjseO+wwfjVhQv0cxM6LFZiyJnzSG9r2hAVr5B7T9yc48kO2XqOUBfV9rnzQtSt3b7ABdO2as3+NsrJb5m2/Pe1L6zCl1M6LqrH7SJ1RWA5OA6KqLFxYyvz5y7Kdm+V0a9GCwe3b07UW+THtgU3Ly9morIxJIpTZyk3emdcK3u8Pi3P4qp3nw7bjYeuJUNIAKaFvdO/O0EGDWFq8oiBTSVkZe06Zwi8nT2brmTbxZhj5ZIdxMKsttF0COzeS9dRZLVvy5+22Y3rr1lyz+eb0WriQHWbMyLdZzYLJneCjPlCeNSclCr1mw07fwUZTKy/l1AcK3L7RRty94YY5+zsuWcI+kyfzy8mTaVeXzo1hNBDm4KwipaXlTJ26kB9/XMjChSv+6IuAwe3ace066xC1XT3dgV3Lyti1rIzJItxfUsJDJSX8VD+rOUYN6DUHzn4Zvu/qZ96WtoCOC2Gd2dC2AdOh3u/alXOjqNKqzYZz57LlrFmsN28eZSLsN2mS3ZQMoxEgwH5f1P8D66rwt0GDmNa6NQCtysoobgTl3ZoL0QTYZAqM7wJLSmBZEXSfBz3nQMsG1Eu7a4MNKjk3xeXlDJw1iy1mz6b7okW0Kitjn0mTME1zo6lSWA5OFctbD6UKfdaW+fOXMXnyAqZNW0R5ec6bwRzgn+Vw4ch58xbV6iBRVIyXEP0T0D3T3EuVvy1dytlLl/LfFi0YUVJSFzfL5lPosw6XPUuA3PNdDcfpzr0N7BTefgcc9+D117+XR5OaJnW8HB5X+aaR4FzFhauQQkTqmnr4bhrbl/1x6lxYUFKyz7YvvPBCPu1pEtThedGW/ErphbzNH6goa/BiWVHR74fffPP4/FnVRLH7SKOlsBycemLGjEVMm1alz/IFcKGqPr3aB0qSMuAy4DKiaGfganzCn4AvwnNIaSmHlJZSOw/KaOpEzm1JhXOzDNg9ieOJeTTJMIymTet8G2A0OMdR4dyMBg5M4thkWY2CwuKdcjB37lK+/LJClKB8xRSbJcBDQE9V3aJOnJtskuRtkmRHvJrJbXjdgeWk70g7Tp9On3mVuo3CpV/q9Rvm3BiGUQteSr1+IHLuwLxZYuSDvqnXD5tzYxQi5uAEysuV7777mYcf/o4bb/yCb76Zm2vYRHz4WGtVPVpVp9S7YUkyjyQ5jSRZEziaHMUjB8yZw39GjuQf773HblOmUJzDIzMKhnSUdqu8WWEYRlPmaGB8eN0GeCJy7s9VDzcKjPRDgt1HjIKk2Ts4ixaV8t5707j11i+5//5vGTNmDln5lmXAq8CWqtpHVW9RzVNGZpI8RJJsgp99eQIforScbX/6iWuShKdffZXffvMNXRZbAeQCJO3g7hQ5N6jKkYZhGDkIdU32Br4PTUXAjZFzJ+bNKKMh+Sr1+rjIuU55s8Qw6gnJ17N6QyIpkYFDD+3HFlt0ZsqUhXz44Qw+/3wmpaU5v4MEeA2IVbVxegpRVAT8FTgYX+ixksNaKsJrPXrwaN++fNK5M5vPmcOIt9/OdDcfkYECI3LuGWD/8HYOvtr190BE5UKf/waSJI4L/0durJQolRyaxHGjTg41GobIubWAp4AdQtMSYKckjj/Kn1VGfRM51wqYAHQLTV8CdwKL8c8S6UKf9yVxXE+FkoymRlO6jzQ7kYGxY+fywQfTmTRpQa7un4F7gdtUdXTDWlYLkqQcL0RwNVHUG/gdcArhotVClb1+/JG9fvyR79q356MuXfJorFGHXAzsii+X1BFwVYz7C75s2LMNZJdhGE2IJI5nRM7thZ/RXxdYAzgQMAengEnieHHk3FDg7tC0GXBjFcMvjpzrmcSxFUoymhQFH6ImIsOA3TPvP/98Vi7nphw4D+ilqmc0ZudGROaLyA4rdCTJRJLkQvwM/tHA2+nu9ebN44jx4xvERqN+SeL4E+CuGg5f8VwxDMOoYCGQM+nUKGhG4Cd1V0YLwEKhjSZHrRwcERkpIkvCw/ZcEflURA6va+PqmWV4JbTBQAtVvVpV5+fTIBEpEpGLRORbEZknIjNF5B0R2S0zRlXbqep7YfwQEalczTFJloRcncHAQGA4sNyjW1JezqkTJtD788+3DMeYKCLXiIglGjYRguLRWTUYOg+fq2UYhrECkXMtgFuAzVPNn+TJHKNhuRJYswbjxgNv1K8phlH3rE6I2t9V9VIRaQGcDjwoIp+o6tg6sq2+mATcDtylqtPybUwW5+FXXw5U1dEi0h5f86R2ZW+S5DPg90TRecDxwGmlqht3bdGCp9Zf/+utR48eBKwDPI4vs2MqOo2cyDnBh6hl+AI4Ej8Luz3QB+/YTAeeT+I4ZyymYRjNm8i59sDDwL6p5huSOH4yTyYZDUTkXFf8c1uGR/EKsd3wq/5r4u8j44DXkjguW2EnhtHIWe0cHFUtFZE78YnOA4GxInIwcBGwHjAFuFRV/5XZRkR2BS7Fx32WA8+o6kmpvquBjcO2N6jq8NA3BHgF/7D+d2Bt4D/4H+p1wK/wS65nqerjWaZOBDrhi2aWZZwbEemLT9BeV1UnhZC2wcAo4OSw7W2qGofxbYAHgB3x8ppjgfNU9eXU/objE/UUf4E4WlW/Dv2n4B2JdUPfeaqaqUmwY/guRofvdh5QqcK0iGiwbxzwPFAsIpmVpz+q6r0i0hu4noqCkM8Af9FBg25pW1y822W9ev0R6K6qZcAEEfknPn/HaPwMoiJcYDHwiySOM476+LxYZBhGkyKs3DxJKnwbL0pybn4sMhqY46kop/cpcFRwYqbhJ80Mo8mz2jk4ItIS+EN4+42I/AKfuHYm0Bk4AbhFRHYJ47cAXgxjeuAf9O8Lff3wD/S3A12AE4ErssLfioEhwABgE7zU5fv4i3UX4Argn8ERydAFXyyzK3AQcLaIHFXNx9oF7xD1xCdpny8iGWehCL/isUHY70PAf0RkrdB/edi2ezjeSXilK0Tkd/hVmmPwztYFwOMisn7Y9k3gZBEZKiKDRaRtVQaq6o/APnhnrV34d28INXsNnzTaH9gUv0pzE0miJMlrJMlhVJ612wP4vJrvw2g8rJt6/UbKuTEMw6gpV1LZubkCODqJ49IqxhuFxTqp14/ZCo1RiKyOg3OBiMzBh09dCpysqp/jVyduUtW3VLVcVT/Ar3gcH7b7PX6VYoSqLlHVRar6eug7CvhYVe9R1VJVfR+/GnIylblAVReq6kRgJPC9qv5XVcvxzlIHvAOSYQpwlaouVdWPgDvwjkdVfKOqtwcbRuFnOCIAVZ2vqg+o6jxVXaaq1wBLgW3CtkvxK0v9VbVMVT9PhcKdAVyiqp+F7+Y54HV8iBHAtWHMYOBpYJaIPCUi6YfalbE/Xv774vDdzsavph0jIsXLRyXJzwAiciawM97ZMho/6dpHHfJmhWEYTZm/pF4PS+L4/CSOrUJ08yHtyNp9xChIVsfBuUxVO+JXKZ6jYjaoH3CeiMzJ/MOvxPQM/X2Bb6rYZyZsK813VJ61LlPVtFzhQrwDA4CqLgwv26fGTMgqzjmeyjMY2UzJer8gsz8RaS0iN4vIOBH5OXy+TkBmBeccfMjbMyIyJYxtF/r6AbdmfTe7Ab2C7Rqcp31VtRM+ZK0vsDy8rwb0A3pnHeNVfLjc2umBInIW8Ddg9+AsGo2f/1FRhXr7yLld8mmMYRhNnn/n2wCjwfks9fqEyLm1qxxpGE2UusjBmS0iJwPfichB+OJRI8LKRi7GU3l1Jc0PVA6dAh9m9cNqmtlHRCTl5PTFiw3UhrPxNUj2AMarqorIT/jcHoLzdQZwhoj0xxdROxefGD4BXzj00ZocSFU/EpG7gMuqGJJrxm0CfgVqs+r2LSIXAacCu2byg4zGTxLH4yPnHsfnmwE8Hzn3KD4kcXNWLPT5is3MGoaRxXj8fRDgyci5vZI4tkmu5sOjwFX4ydVuwAeRc0/i7xsRlQt9jkji2ELYjSZHndTBUdVZ+KT2y/HFos4MOSTFItJSRAaJSBSGDwcOFJHjQl/rIB4APp9lkIgcLyItRGRb/EP43awePYBzRKRERLbCF8O8t5b7WhNf7Xkm0FJELsYXWwRARH4tIv1ERPC1BZZSsRx8AzBMRAaKp7WI7CwiG4dtzxaRfUSkQ3i/AT60760qbJmKFxnol2p7FigRkfNFpH04Ti8ROSRl4zX4sD9zbpomFwM/hddt8HluVwHH4Z3v/YDf4HPdDs6HgYZhNGoOxYuUAGwEjIqcs1onzYQkjpfiJ2szk77r4lXULsXfM3bDF3w9C/gkcq5HPuw0jNWhLgt93oR3JHriFbmuwT+ETcE/2LcDUNXP8Ks0f8BL2U7EP5ihqt+HvtPxDsT9wMWq+shq2vZWsG0q3gG4CXiwlvu6Hi8a8CN+dmMhldWrtsJrxs8HvgQ+xufWoKp34hXi7gFm4z/7RUBJ2Pbn8H5cUEZ7BV9R+oRchqjqN8A/gA9CONpxIURvD7y4wBi8k/UqXuEOEekD/BUfrvaZ+FpG80Xky1p+H0YDk8TxaGoeVrJVfdpiGEbTIxQLPo6KnL61gTcj5+x60Xx4glSNvGoowos6GUaTQiqnphiG0diJnDuKmjnoU4G9kjg22U+DyLnlF/skjiWfthiNg8i5IfgH3UwUwnggSuJ4Zr5sMhqGyLnb8KJPK+MzYLskjpfUs0lGE6Ap3UfqcgXHMIx6JhT6TCvevYfPu+mMl0w/FV8sdk+gtzk3hmFURRLHI/Eqmhlxnr7Aafmyx2gYQsjZb1NNd+KFlNYFjsCHsP8arw67lTk3RlNktUUGDMNoULbDF8gFHwa5XxLHs8P7F/NjkmEYTZUkjr+MnPuEisLQ9lxQ+BxHRWj8+8CpSRwr/p5SIxEkw2js2AqOYTQteqZev5VybgzDMFaZyLnD8CUJMszKly1Gg5EWDXg6ODeGUVCYg2MYTYt0qEC3vFlRIIjIiSIyNt92NBTzJkzg0yuuyLcZjZrmck5Ezknk3FnzJkx49NMrrsjE0r+JF65pFojI7SJySx3vc5iIvFKX+6wH6uw+IiLHiMhnKx9p5BMR6R0EpXqufHRhYA6OUTCIyEgRWRJ+xHNF5BMROWw19qcisnNd2lgHfEqF7PigyLn98mnMqpL6G80Lf6NxInK/iAzKGqMiskvWtmNF5MSsNhGRb0LR3XZkISI9ROQ2EZkgIgtEZKKIPJI+XiEhImuJyN0iMjn8DqaIyPMi0gOgfZ8+DBw6ND2+UTyM5fjtfioih2f12zlRC6o6JxZNm3YDcH37Pn0knBPfAUd8NGzYBQ1xTjSG67Wq/l5VT1/F42wgIg+E73F+uIb9M5R1aCokqdcnRM71rWqgiPQXkUdFZGr4vD+IyBMi0hJAVf+lqlumxo8QX7+vUdKQ9yARGSIipTQwkmOSRlUnqmo7Vf2xoe3JFxZraxQaf1fVS0WkBV7n/98ismmQ1AZAREpUdVnVu2i8JHE8OXLuYeDY0PRk5Nz7eKWbvqxY6PM/SRw3ts/6d1W9FJbLlp8CvC8iR6jqE2HMTOBaEdlOq5d63A1fDHg+cBQ+WZaw757AB3incF+8bHpr4BB8HZCP6vRTNQ4ewEvDb6Wq00WkG158oimEoKR/u6cDD4rIJ6qauVHbOVE7VjgnOm+xxcUt2rT5c2rMu8BBSRz/JMOGNaRtTep6LSIDgLeBx/E5S98DnfDCLvvh6wA2BZ7E294Pb/9nkXNv41X0NidV6LOopGS38mXLnsLXS/oZXxx0f0Jx8yZKg9yDjPxiKzhGQaKqpfhQi2JggIiUii8uO44QYy4iW4jIayIyO8ziXCgixaEvs+T+Upi1uiu0txGRa0XkexGZJSIviMj6meOKyJEi8lmYzZkiIsNFpG2q/4yw7bwwo3p5qq+3iDwWtpsiIneISPscHy8GJoXXLfAqSH/E32AHADvgi7U9BPxq9b/N+kNVJ6jqhcB9wM0ikrlp3gmsg79hVMepwAv4mlmnZvVdgq/zcIhP3zkAACAASURBVIiqfqmqZao6X1XvV9ULsncEIL7A8PlhRm6OiLyTNbO3h4iMCufMDBF5ODgRiMj+IjJdREpS49uF82eX8P7ycK7NF5HvROTMrONvJyIfhfPjbRG5WETGp/qrPf/wuRQjVHV6+H6nq+p9qjoVYN733/ORc5l9/Ro4HxgiFfWw+oe+weH4s4Kdf0n9beqV8Nu9E39uD0x12TlRR+dEv0MPPbGkvb+0zB49+oOPhg3bLonjn/J1TuTxel1ptUH8rP1pIvJh+L7fl1CIO3AD8JGqnqSq49QzS1VvUdWczk0NbKjyniEip4vIJ1n76yciZSLSN7y/R/yqyjwR+UpEjs4av19ony8iz4rIDR8NG/YKfhKhvHThQsY/9dSan19//b6fXX31aeMeeWSXZfPnbwnsXLpw4Qnly5b17rLllk+p6tzweSep6u2quiTsf/lqgYicCxwDnJA6fzJ/o4PDeTxHREaLyDErOy8agnq+B1WLiPxBRL4Wv5L0vogMzuo/VESS0D9VRC4L7euE82hG6Hsrc00SkR2A24H+qb/BEBHpG87vdWpyfPGr+6+17dXr4eJWrRa1aNOmtMfgwZXqJkXOPRU5d1Tk3Aor5Y0Bc3CMgkT88vkf8YXsOuFvnPvgC192F5EOwMvA6/gid/sBv8HPIpJact8rLOueHN7fBWwMbB+2GwU8KxUPMHPxs3kdgcHh34XBpg2BK4H9VbU9Xg3t6dDXCngN+Ao/G7Qp/uJ6U4iVPydyLhM7+z3wUg2/io2r64ycGxA5d1IN91WfPIyfGdwovF8AXAxcLiJr5NpARNbCO3L/BO4GBknlMKN9gUdXcfb3EuAg/KpHl7DvF0WkU+hfgn8wWAvvTPbEFw4GeB4fPpgOGzwcX4/orfD+K7xD2h4/a3iFiPwyfJ4OwHPhu+iMryyefcNcfv6169OnR8dNNmmJyHOp8+9N4BoR+Z2IbJV5uMiFqv4buBwYGc7xdqo6TkQ2Q+SFtbbd9p3wOfcLn/m4lX15dUH47f4hvP0m1WXnxErOCWBtioo+bNGmzXvrH310prZNrnNi+aTL9FGjrs28rvacgOe6DBz40sDzzz+OOj4n8ni9zsWJwGFAV+AH4OZgYxtgCKteJLzW9wzgX8AmIpJ29E/E/33G/z975x1eVZE28N+bkEAg9N6LYAGURQ52EUVRimVVxK64CNa14Nrdw9iwoK6ruDYUFcvqWrF96q6ustaLgCKCKCBKUXqHkGS+P2YuObkkIUCSm5u8v+fh4dw5c+a8uWfumXnLvOM/T8YZAhrg+uoEEenqZd4N5226pctZZ7VqO2DA7xSkh/7IWrvppxdeAKDbRRex9+WXk1azJvNefhmAGrVrU6tpU1b98MPfReRsEekaUQC2kpaZWScw5hBr7V1e5qci/SdPRI7C/R4vx/Xjc4AHJSEELMmUxxhULCJyGnALcDbuvfIY8K44jxIiMgB4Chjtz++Oe5+Am7s/BLTH9amvgVfEeTs/w+1vNDfyDD7akfsHxuzTuEePwaSlHd6kZ8+hf7j66lpdzjgjfcmnn9Zet2BBtJnjcL+H3wJjXgiM6Veav72iUAVHqWrcICKrcB6O43EDVTzE5VpvhdqAGyBzgFuttZuttd8Dd+Ly/xeJiDTBWXMustb+Zq3NAQwuI83+ANbad7xlON+H1jwExH/0uTi3fjcRybbWrrLWfu7PDcZtvPtXa+1Ga+1K4CbgjPzc3GHAXcC0wJj+uAHqvFJ8Fz9QzGDslabhuHCdxwJjDiqqXgUS90g1jpQ9iQuTuGzb6gAMw00OJllrpwFTgRGR802BhaUVwA/clwJ/8dbZPGvteGAxfoJqrZ1srf3KWpvrvSJ34Z+vtTYPZ8WLKozDgCfjIQ7W2onW2kXeEvof4C0K+sexuDCHsdbaLdbaqbiBMy5fof63x7Bhl3UaMuTwtIyMzk179473h6G4kKRhuLCj5SLyN69Ab5fAmLTs9u0fadyjR1a7gQMv7TV69J7W2lnAg7iBsDyJ/3Y3ArcCw6213yTU0T5RQp+w1ubse+ONNfPz8pqk1agxPTBmH4roEwvefjsvf4vT8Zr17r39NSgiF2W3a/dThxNOGJ2emflMr9GjN1I2fSKp7+tiuNu69QqbgQlA4MvjiteO9J9dGjP8OPA6vv/4/ngOkT5grR1vrV3u++YLwDc4RQx/7y+stc/X2223+5vtv/+wBnvuuSUtIyMLeHjDokW11y9aRLtBg0ivVYu0zEzaHHUUa+fNI2f1agC6nHXW//I2b56EU06mAb+JyE0iIoExNVv06XNGRp06LYAXAmOaFPNVXAbcb639xP+dX+L6ZHm/U3aE8hiDSmIY8Ii19gv/7hiPe3ZxD9ylwMPW2jf9+TXW2smwdT3NG9baDdbajTiFuB2wI+vAirx/g732GgfEMhs06FWrcWOa9u6NpKdTp00bardowfpFRS7hqY17z3wQGPNAYEypxpvyRtfgKFWN26yPrY0jIn2BfJw1Lk5bYH58kuH5yZcXR0f//zcJRqyM+HXeUvVXnMWuJm5AjIeGzPVu+QuBx0XkG+Bma+17vu12frCPYnPXr/97Zv364CZn7wLR1NDv4QaxdUAPnEVnrb/ntKLSfwbG1MW5sKOhDOMDY7rFwjC/hL+/PIm7zbfuoO4tf1cDz4vI+GhlP9CfD0yMWOPHA3eIyChr7TpgKc4iV1qaANnAJBGJfm8Zcfm8de523HddG6ewRt3zT+L6RzOcRf4gIt+ziPzZy93GX5tFgRLaGliQ0Cd/jhwX9L+0NEnPzKwHYPPzJbtt23GBMXV7jR59bywMx+C8AJk4r8MzuNj5EgmMaQxMSMvMPHjFjBms+v77LGvtdBk9eh3OGPbLdprYVW6zbj1GQ9yzPML/vxXtE0BxfUIERNLSMzPr2rw8cjdsaAd80Wv06D8Dd8TCcGufWBaLvVCjVq2sVkccQY3atfsgYgNj6sfCcHXiFxAY0yq7bdtT1y9a1Mhn4Gto8/N/xCmiu9onkvq+LobFkeP1uGcG7r2bx471n10aMzxPAhNF5C84704DnFcGEUnDWfiH4iz5Fueda+qvbQ38HBhzBM7zQ62mTRvlbtjQCwhyVq3C5uUx7Y47Ntvc3E0ApKXVQCRj6Vdf/aX1kUe+9c099/zEPfcAXOu9WKcAj2U1b54DDKnZsGGvyL2KS9HYEThcRK6MlKVT4MWsDJTHGFQSbXHrZKNE+3QH4FWKwCvO9+IU2Qa43wsUPPfSUOj+gTGZdTt1apFRp84B8bKM7Gya16vHUd260a9rVy744AOOPOAALr/qKpavW8dHs2fz3owZzF26NNruJcB+gTGDY2FY6ERFowqOUl2wCYPjL0B7EZFIeScKD6qJykF8YtHFWrvND9dPHl4DrgaesNZuFJFLgKsiQryCcyVn4tzIr4tIY9/2D9babontBsYcjpvwtMBNgBr5U2uAk2NhuNZ//sr/KxZv0X0J5+6OMwMYkkTlBtwAvRCYHS201r4jIl/iJgBR+gGdgfOkIOa8Bm5ieTrwKC6052QRMbZ0IUnLcBOaI621xX2PLwD/AoZYa9eIyGBgUkTeWSIyBZcEoiHwgbX2VwARORhnde6Hs6rmici/KFisuxCn5Eb7ZLvIvQv6X37+0sCY43AW5rhl+W7gsMCYc2NhuNxbi98QlxErGuISJR/Ae/BeANrWrF+fmj170m7QoM+BU2Nh+HMx15YL1tqVIjIc+ElEjrfWvp5wXvtEAdu8kwJjzsQZMOoAtfzf3Tcw5gJr7Vpcn3hn9Zw5PVsdcUR8Ai7A5MCYwyiYLOE9xhOzmjVrlNW8Oe0GDQL4ADgzFoa/leL721nK/X29EwJtEJGPcAal0mYJ2+UxA2fE2oTz8v8ReMFb7fGyDAf6AzOttfkiEqNw/+mPC+27BLg3Z/XqTHzoamb9+qTVqJGXv2VLbWvtdt//3ps2oUbt2jdlt2t3M5AZOf0K8BfcxLuo72GCtfbu7d0jiZTHGFQSv1CgAMfpRMG7Yz7Fe2TG4L2A1trF4tbqrqHguZdmLE+8/9/zc3I6ZDhjKk3q1qVtq1ZMuvxy0rxynpGeTkZ6Og3r1KFhnTp0bt6c4X368OPvv/Pwhx/y0axZ8bb2A14JjOkXC8OcUshSLmiImlJdeQs3+F8vIpkisgdwDYUtxkuIvGCsW6T7HPCQiLQGEJEGIvJHcekhM32bK/1A1RU3qODr7iEix3gr2Baca9viXkZvAhniFjPXFUdrEfljLAw/xE1QE1O31qLwBn3F4kPSRuDiv6PKzePA/rEwnFX0leWLiLQVEYOzLl6WMKmJ8xec2z9qnRqBW1uwJ+67+QMu+8+TFKxRCHGDzb9EZC8RSReROiJymogUshqDm1Hh1k6MFZ/yVdyC8KOlYO+AerjntlZE2gHXFiHvk7gQwrOJhJL4a/NwXgQrIoNw6wzivImzFl8pIhki0oNIaFNi/4uF4RvLv/nmsGXTpv2Qt9lta/HLu+8OXrdgwXd7X3FFXxFJ89bwwynOUiryW3pWVo/83NyP8ZbDpr17s3zatE1Tb7vtzimjRy8St8i+q4gcVmQb5YC1dgVuonS7t1Inon2Cot9JU0aPfnP2hAnX5m3aNBPgl3ffZf3Chafnb9kypecNN/wh3ic2LF78D1y4VJzuwHOkpf0GtOt5ww234zzGTZv27s2KGTNY8sknE+e9+urgKaNHL6/gPlEe7+ud4UogEJHHxS32F9/mBSKyTRjTro4Zvo183AL4P+My/SX2n1xc/0kTkfNwnsQ4zwP7Txk9esiU0aMfnvfqq5esmjVr6zu2dqtWZDVvnlcjO3uCN7QhLq34qf64oYiMEZHuIpLRaciQOm36938nPyenU90OHeLKTV7uxo3LcMa2Vbjn0Cnhd/s34HJxiSrS/TPsJSIBSaacx6D4PWol/KuBM06NFJH9/Dv2XN/G8/6yccAFIjLAn6/nDSLgnvsGYKXvR3cmyLsEaCYi9Ur407fev+cNNwxbNnXqyA1LltCoe3dO6tWL43v2pG6tWluVm5Lo3KwZd59yCqOOPjqaWu+QIuSqUFTBUaol1trVOMvWkbiUyv+HG0Si1qcbgJvFZe15xJedj7PwfCQia4FvcYuGrXdJXwjcJSLrcC+o6BqYTNwEazGwCjdgnWSt3eQtY/1wyQVm4SZM/8Zb3r219BgvY7S9dwNjbguMKdYb60PSngUewQ2m4KzSZ8bC8PxYGG4oxVdWltwkLuPPGtwA0Rk4yFr7clGVrbXTcVbyegDiQn1OwK1LWBL9h3uh9hSRwFq7EOiN+77fw1m4vvfXFnkv3PN5HedZWwPMwXna4u/KETiL6VqcxfKlItp4AWeJy/Ztxfk/XLjYlzjPwMlEQhCstatwaw3OwIXDjMMNQtFN+Qr1v/mvvPL2z6+//rXNy7vfN8LPkyY1n/nQQx9Kevp6XDz/WOCeRCEDY5rsM2rUibVbtGjyzdix6dPGjGHTihWrspo3PzZ/y5Yj8rdsudR/d797OXYk/KEsuB9npdwmTl/7RPF9Avh23fz5By3+5JPDgMexlvmvvcb0u+/u8s0990xNz8p6Dt8nYmE4ev2vv0YnIUd3v/TSVrVbt2767b33XjdtzBjZvHIlWc2bL26y774XLfz3v1utmD59IRXcJ8rjfb2TcnyD6z9ZwGe4Zz4Vt07nrWIu25UxI86TwGHAPOvWr8R5Cme0+hHnfehKxJhhrf3J38sAq1dMn348bq3FegBJS6Pz6adnNthjj1PTMjK+9/J9QcEanhzcRqCvACt/fuON1Su+/faYtgMG0LBbN4B5y6dPvzVv06bVkXDox3Hew+XiMqal+zDsETgv8zLc7+8+CodyViQVMgb5y9Nx4ZzRfw9aa5/DPZeJuLC4i4CB1iePsNa+hXuv3I7LJDgbNwcA905q5q/7Bre2Li8i8n9wSTnm+WewjSEicv9nvxk7dvzSr76iyxlncHyfPlw7aBDpaTumHogIpx1wABf3K5Rn4JKS9lgqb6RoZVVRlMpIYExzYAGFQwPADWqnxcJwYUL9HrgJV9TV/S0uJK2QK16pfIjIGKCXtbb/9uoGxgzGTXgaRYrfBs6JheGywJjoy/4Q3IDdJlL2GS4krVCaHKVysSN9AiAw5gyccaNOpPgFYGQsDNf4Op/i0suDswzXjtR9H2cMia4LUVIUEXm+VtOmDbtdfPHRRZx+GLgiFoabooWBMafgFJfotgUvA8O910ZJUXyyoccAGmdn89qll5KVmTi9KD3WWkY+9RRf/7w1svnBWBheuuuS7jjqwVGUFMJ7cp4u4tShuCxrx8DWkLSROGtcVLl5FBeSpspNJUREjhKRlj687FCc1fP57V0HEAvDN3FpdT+LFA8EpgbGHJxQ/b8UVm7uAg5T5abysSt9AiAWhs8CvXCGjTinArHAmD8ExnTCpayPE1du8nFekWNUuUldRORYH2pWQ0SOB07avHz5XbhIgUQuAD4PjNkdIDCmVmDMQ7jF6HHlJgcXRjdElZsqwVZF9/QDDtgl5QacJ2fYIYcU2X5Fox4cRUkxAmNa41zQuxdT5VdcXvzjImXrgBGxMCz1xEipeMRlGboaFwqxCGc1vas0C4DjBMZk4NIsXx0pzsOFSiSyAjg7FobFhdcoSaYs+gRAYEwWbi1ENI3tZv8vMVZ/Ec4j/PHOyq1UDkRkLG59SS2c93+stfYJn1DiTYoOE8vDpYSuQeE1PXOBU2JhOKVchVYqjMCYhbi9u3jhggvo3Lz5LreZk5tL3zvuICdva9Rcs2RkVFMFR1FSkMCYZrgQgUO2VxeYjhuUfthuTaXKEBgzCOfta1RMlU9xIWnlnf5ZqUQExpyG8+QWt/7h/4Czkp3iVSl/AmN648aRktJmx3kJOL+oVOJK6hIYswmXnpzJ119PrYyS9sAtPSc+8AALVqyIf9wrGYmMNERNUVIQHzLSB+f+fYNI7v4EPgIOVOWm+uG9Mj0pvG9KnGeBvqrcVD+8F3d/Cu+1EucBYKAqN9WDWBh+hVtgfz5usf2mYqreAgxV5aZKsjVd/oacssvonNBWaVLylzmq4ChKihILQxsLw/dwWab+U0y1vkDow5aUakRgTFPc4vL2RZw+FRgVGKNjQDUjMKYtblFxsyJOjwRGBsZsPzesUiWIhWFOLAwfpyDbW1FcSeGNoZWqw3fxg29+KRt71+JVq1i2bus+p+sp2shW7ujgpigpTGDMvsAUXCrQOD/iUqnGuQb4yE9slGpAYMyhuBj6YyLFM3GphsGtxxkDvOUVIaUa4MMWp1F4/6zp+LTBuOyMDwH/DIypX8HiKUnChy1OofB6mxgF6cjrABMDYx7za7mUqsPWdXavT51aJg2++vXX0Y+fxsIwt0wa3kFUwVGUFMRnSbsYlzFrt8ipfwB7+3/vRsoPwmVZG1RxUioVTWBMWmDM9bjQxFaRU2Nwk5d9gP9Fyo/B9YtDK0xIpcIJjMkIjLkLt6g8viYrD7cp6b64UMbpkUuGAFO8AUWpogTGZAXGPILbeye+Jmszbm+e/XChjNHw5uHAF4Exe1aooEp58hR+X6hPfviB/82Zs0uN/bx8OS988UW0aHxxdcsbTTKgKCmGt6w+jtsUMM5a3J4EL0bqpeF2YL6Nwhm07gZuiIVhUuJilfLBJ554BrchYpxluAXj70bq1QBuBq6L1MsHbgLuiIXhDmXnUio3gTHtcPveHBgpXohLMDE5Uq8WbuPMCyP1cnDhSQ9FNnJUqgCBMXsAL+KMHnF+xCWkmRqpVxcX6npapN564IJYGE6sCFmV8iUw5gVgKEDdWrV47Nxzdyqb2or16xk5YQLzli2LF30P7B0Lw7wSLis3VMFRlBQiMKYXblDqFCmeihuUfizmmvimjq0jxbqpYxXCp3x9HmgZKS5y89fINcfgFKImkeL3cAqR7ntSBdje5q/FXFPUpo7/whlQdJF5FSAw5nSc0hLNpPdP3FYCa4qoLzjvzd9x6abjjAf+HAvDDeUorlLO+A3Ep+DnCHUyM7lu8GCO2XvvUrcx/ZdfuOHll1myeusrYhNwSDJTiquCoygpgB9gLgbuwcXJx3kIGJW483QR1zfBTXQGRopX4CY6b5axuEoF4b101+E8MtGQ49uBcHuxz35PpedxG8XGWYxTjP5bxuIqFYRPKnI7cFWkOA+4Hhi7PS9dYExnnCGlZ6RY90BJcfz6mftxCQXibAYuAx7dnpcuMGYfXLro6B5sM3D94vsyFlepQAJjAlyyoq2GjX3atKF/9+4c2a0bTbK3zSq/fvNm/jt7Nu/NmMGnP/5IfoE+kQ+cmex991TBUZRKTmBMA5yl7MRI8VrgT7EwfGkH2knDTXhup3DI2ljgeg1ZSy18SNpE4KhI8TLcwPJ/O9BODcDgJr9x8oG/AmM0ZC21CIxpj/PYHhAp/hXnsf1f0VcV2U4tnEHlokhxDjAKGKcha6mFXzfzIm59Zpw5OOVk2g60Uxe31vOMSPEG4MJYGD5dFrIqySEwpgduX6Toul7SRPhDu3a0btiQrIwMNufmsnzdOr6aN4/NudvY0FbhNo+eVEFiF4sqOIpSiQmMaYTLZtMxUlxiSFop2jwYNwFqEyn+GDhcJ7OpgV9X8TmFQ9I+Bk4vLiStFG0ejVOYoiFrrwIn6WQ2NQiM6YYLTWwYKX4bN+Eobq+s7bU5BGdgiYasPRYLwxE7LahSoQTGHAi8j8uGFud5YGQsDNfuRHsCnAc8SOGQtTGxMLy+6KuUVCAwph4uFPFMChtCS8MHOMNrpQh9VwVHURRFURRFUZQqg6aJVhRFURRFURSlyqAKjqIoiqIoiqIoVQZVcBRFURRFURRFqTKogqMoiqIoiqIoSpVBFRxFURRFURRFUaoMquAoiqIoiqIoilJlUAVHURRFURRFUZQqgyo4iqIoiqIoiqJUGVTBURRFURRFURSlyqAKjqIoiqIoiqIoVQZVcBRFURRFURRFqTKogqMoiqIoiqIoSpVBFRxFURRFURRFUaoMquAoiqIoiqIoilJlUAVHURRFURRFUZQqgyo4iqIoiqIoiqJUGVTBURRFURRFURSlyqAKjqIoiqIoiqIoVYYayRYg2RgTdADuBQYBmTtw6ZfA9WEY+3d5yKUkF2OCvXD94iggfQcu/QS4Ogxjn5eLYEqFYUzwMDCynG9zbxjGRpXzPZQyxJjgZeDEcr7NdWEYu6Oc76GUIcYE/wX6lPNtzg/D2OPlfA9FqRJUawXHmOAkYDxQP/Fc48btqFWrHmlpaWzevIEVK34hN3dztMp+wPvGBHcCN4VhLLdipFbKG2OC84AHgaxouUia7xd1AWHz5nUsX76A/PxCj/5QYLIxwY3AnWEYsxUmuFJuNG7cjrp1m5VJW6tXL2Hlyl/LpC0luTRt2ok6dRqVSVsrVvzCmjW/lUlbSnJp0WJ3atWqVyZtLVs2j3XrlpdJW4pSnai2Co4xwZ+B+6NlrVp1pVu3/nTrdiT167coVH/z5vXMnv0x3333Hj/++Fl8UivAtcBexgQnq5KT+hgT3AzcFC1r27YH3bv3p2vXfmRnNylUf+PGNcya9SEzZrzHvHlfYW0+OI/PGGB3Y4I/qZKT+hxwwOkEwcll0tann07k/ff/ViZtKcmlb9+RdO3ar0za+uCDB/jf/54qk7aU5HL00aPo0KFXmbT1xhu3MHXq62XSlqJUJ6qlgmNMMAjYOsNo0KAVJ554C23b9ij2mpo167DPPgPYZ58BrF27jNdeC5k794v46eOBu4Ary1NupXwxJjiLiHLTtGknTjzxVlq02L3Ya7Ky6tGz5/H07Hk8K1cu5JVXbuLXX7+Jnx4GzMEpO4qiKIqiKEoFUO2SDBgTNAYm4rwvtG27DyNGTCxRuUmkbt0mnHnmAxxwwOnR4iuMCY4pU2GVCsOYoD3waPxz584HMXz4UyUqN4k0bNiaYcMepUePwdHi24wJepedpIqiKIqiKEpJVDsFB+dlaQBQr15zhg4dS1bWjsfKiqTRv//l7LHHYdHim40JpGzEVCqY64FaAE2adOTkk8eQmZm1nUu2JS2tBsceeyPt2+8bLxJgdFkJqSiKoiiKopRMtVJwjAnSgYvin/v3v3yXFoiKpDFo0LWkp29NvtYbl3xASSGMCbJx4WQADBx4NTVr1tnp9tLTazB48PV4JyHAQGOCzrskpKIoiqIoilIqqpWCA+yD995kZzcpk8Whdes2pVu3I6NFhxVXV6m0HAhkgFt306FDsMsNNmnSgc6dD4wWlXf6UEVRFEVRFIXqp+BsTWvSvn1PRMrmz4+EIxW6h5IyRPpFL0TKJspQ+4WiKIqiKErFU90UnK2LKmrXblBmjdap07DQxzJrWKkoascP6tQpu36R0MdqF1dPURRFURRFKTuqm4KzLn6wdu2yMmt07dql0Y9ryqxhpaJYu/WgTPtFobbWFldPURRFURRFKTuqm4LzZfxgwYKp5OWVzb6c8+bFiryHkjJsfWbz58ewtmz25Zw/X/uFoiiKoihKRVPdFJzvgd8BNmxYxfTpb+5ygytX/sr3338YLfqwuLpKpeVLYAPAihW/MHv2f3e5wcWLZ0UVHAvseqOKoiiKoijKdqlWCk4YxvKBv8U/f/DBA6xatWin28vLy+X112/G2rx40YdhGJu+a1IqFU0YxjYCD8c/v/PO3axfv2Kn29uyZROvv35ztOilMIz9svMSKsnm55+nsmXLpl1uJydnA7/8oq+IqsK8eTHy8rbscjsbN65m4cLvykAipTIwd+6X5Ofnbb/idli3bhm//TanDCRSlOpHtVJwPA8CS8ANKs89dzlr1vy2w43k5ubw+uuGn3/+Ol5kgZvKTEqlorkbWA2wZs1vPP/8lWzYsGqHG8nJ2chLL13Lb7/9EC/aAtxcwiVKCjBjxv/xWUd0MAAAIABJREFUj38M5aefPt/pNmbP/phx44Ywa5Y6easKsdhLPPLIGTuttFpr+fbbdxk3bkhiSKuSwnzyyXjGjx/GkiU/bL9yEVibz5Qpr/DggyezaNHMMpZOUaoH1U7BCcPYWuAk3MSTpUvn8vDDpzNz5r+xNr9Ubfz224+MHz+Mb799J1p8YxjG/lfmAisVQhjGlgBn4BRVFi6cwcMPn8aPP35W6jU5v/46g0cfPZM5cyZHiy8Ow5iaZlOT+4CP4x9WrlzIxImX8Oqrf2X9+pWlbmTt2mW89NI1vPDClYnGlPeBcWUmrVJR3ApMiX9YunQuTzwxnLfeuoNNm9aVcFlhVq5cyHPPXcYrr9yY6DF+BXi6zKRVKorrcWHwACxaNJNHHz2LDz54YIe8v0uXzuXJJ8/nzTdvZ/PmQv3paeDVMpNWUao4UlYLqlMNY4LTcC+MGvGyunWb0a3bUXTv3p9WrboW2g9l9eolzJjxHt999x6LF89KbO5R4IIwjFXPL7MKYUxwMfAAsPXhN2jQmu7d+9O9e3+aNetcqF8sX76A7757jxkz3mPp0rmJzd0RhrHrKkRwpVwwJkgDhgFj8ZsEA2Rl1ad//yvo0WNQsfsmOSvsq3zwwQOJE5VlwBXAs/rOSE2MCWoAl+KUna0p4LOzmzBw4NXsuefhxfaL/PxcPv/8eT766JHEie9CnEHk9XIUXSlHjAlqAlcDNwKZ8fIGDVozePB17LbbAcVem5u7mU8+mcDkyU+Sn18oAdJPwMgwjP27nMRWlCpJtVVwAIwJ+gDPAm0Sz2Vm1qFWrWzS0mqwefM6Nm5cXVQTOcBfgAd0olJ1MCYYBEwAmiSeq1kzm1q1shFJY/Pm9cX1C4AXwzA2tBzFVCoQY4IWOI/OqdHyjh17M3jw9TRq1LZQ/aVL5zJp0m1FhS49BVwVhrGyy0euJA1jgvbAQ8DAaPkeexzGwIFXU69e80L1Fy2ayaRJt7FkyexoscWFTt8YhjHdZqAKYEywB87w2Sdavs8+A+jf/8rEvfOYP38Kb755O8uX/5zY1NM44+nG8pRXUaoi1VrBATAmaAwY3MSlcSkvywHeBkwYxqaVl2xK8jAmaAXcggtnrL+Dl78HDA7D2K6vPlYqFcYEA3ET2vbxsho1atKnz3AOOugsrM3jk0+eZPLkCYlW2B9xExW1wlYxjAkEGAL8Hdiq0WRm1uaIIy6id+8h5OZu5sMPH+aLL15IDIX+Fjg/DGNfVKzUSnlTGu/vpk1ref/9vzN16mtFNXFnGMaurSBxFaXKUe0VnDjGBBnAEcBpwB+BekVU2wRcALwWhrFiTfdK1cGHHByDU4BPJBJ2UAKf4BQctcZWQYwJsnFGkcuJrGNs1mw38vJyE62wucBdwK1qha3aGBM0BO4Ezo+Wt2rVlfXrV7B69ZJo8SZcH7pHDSFVG2OC5jjv72nR8nbterJ8+c8lZey8H7hCo0MUZedQBacIjAnSgZbAk8CRkVPnhGFMF39WU4wJmgB/xVlr6wNZQHxxRXZC9dvDMHZDBYqnVDDGBL1wYSj7FlPlc2BEGMa+rTiplGRjTHAorl/sWUyVz4CzwjD2U8VJpSQbY4IBwD+IeH8TyGfbxE8DwjD2brkKpihVFFVwisCHrb0P9IwUPxCGsT8nSSSlEmJMkB6GsbzI5+uB2/zHlUC7MIyVPq2SknL4xeZ/xoUz1o6cuhh4JNo/lOqD9/zeD4xMOPUg8Ge1yldPjAnq4Dx3V1CgzCwCLgnD2Ku+37wEHOvP/ScMY/0qXlJFSX1UwUnAe2/eBvpHiu8ErvcbhSpKkfi+Mxdo54sOD8PYR8mTSKkojAk6APPin8MwVnQKLaVa4MOSpgCtfVE+bq3NE8mTSqksGBPsCzwCfIGbW6yJnOtA5F0CZIRhLBdFUXaIarcPTim4isLKzcgwjF2ryo2yPby1PppDPDFsTamihGFsfrJlUCoV4ylQblYBh6hyo8QJw9jXwH5hGLskca2mf5dE84dHPcOKopQSVXC2ZffI8RthGHs0aZIoKYUxQW2gd6So2NWjiqJUaaLjyLVhGPssaZIolZLiwhT92r5a/mMuBes8FUXZAWpsv0q1ZndjgizNfqREMSZoitsjJxv4OQxjv/vY6fFAfIOD+cCXyZFQUZRKxMHGBI/quhsljk8t3gaXrKYWMCsMY+v89gRRT9+LGj2iKDuHenC25QkgnrZzT+ADP6FVqjnGBB2NCf4D/A7MxCkwvxkTWFxIQXQTyHs1blpRqi0PR47PAv7htyJQqjnGBEcB3wELcPsgfQWs9ePIQmCfSPWxFS+holQNVMFJIAxj/wMuixQdBHxuTNA5SSIplYdzgcNLUW8iMK58RVEUpRJzH/BC5PNI4E2fRUup3lwP7FWKeueGYWxqeQujKFUVVXCK5mFcGsd4SEEn3OBU1OafSvXh91LW6wY0Kk9BFEWpvPhwtHOBZyPF/YHxPjxJqb6Udhw5wphA52iKspPoj6cIwjBmwzD2N+AEIL7+Zg/g8eRJpVQCngauA6YBvwKrge+B6Qn1evp6iqJUU8IwthkXnnZzpHgocElyJFIqCdfi9kj6AViMy7I3ncIZOAHOBo6rWNEUpeqg++BsB2OCiygIN/o1DGNtkymPUnkxJrgYt5EfuMw3bcMwtiqJIikViI+hB3QfHKUwxgRvAoP8x+fDMHZ6MuVRKid+L7WngXj/+DQMYwcnUSRFSVnUg7N9miVbACVl+Afwkz/OBv6QRFkURakE+DCj+smWQ6n8+L3U/hIpOkiTUyjKzqEKTgkYE1wK3BQpeiNZsiiVH5/Oc26kSBcUK0o1xqePnwAcEinWcUQpljCMLQI2R4pqFVdXUZTi0X1wisC7ie8DLo0Uf4ZLPKAoRWJMUBfYP1K0LFmyKIqSXIwJGgGvAn0ixfeFYeyFYi5RFIwJDgZq+o85wPokiqMoKYsqOEVjKKzcfA4cH4axnCTJo1QSfAakLkBT/EafuMWi2cDzQDzT3mzc/gaKolQzjAlqAC9TWLl5DLg6ORIplQnfP7pRsNHnjDCMLTIm6AI8Fak6UTf6VJSdQxWcBIwJjgduiBS9BJwThrGNxVyiVBOMCfYA/gn0KEX1u3VgUpRqyxigb+TztcBdPn20Uo0xJjgBl7ioVUJ5YtU84J4KEktRqhyq4GxLNC3jV8BpfuGfopxN6ZSbh4EnylkWRVEqL8dHjseGYezOpEmiVDZGkaDcFMPQMIzNLG9hlPLFmGB0y5Z7dmjYsE2HIUPu+Kis23/ppWv7rlz56/zFi2fND8PY6B29PjBm9J4tW3Zo07BhhzuGDClz+a596aW+v65cOX/W4sXzY2G4w/LtCqrglMwaQK3wSpz5pax3ONASWFR+oiiKkiKUdmNHpXown8JJJ4rjbGOC18MwllvO8ijlS7h48SwWL54FcFhZNz5z5gfRdkfvRBPhrMWLmbV4cbSdMuODmTOj7Y4u6/ZLQrOobcsXkeN+wBjdTVjxTAQuAP4DfIsbqD4CXqFw9rQ9KBzmqChK9SI6jtxiTHBy0iRRKhtX4yZ6nwMzgXnA28CbwPJIveMA7TeKspOoB2dbHsNZV87yn68BOhkT6Dqcao5//o/4f9tgTHAm8Iz/OMyYIAzDmGZSU5Tqx4VAT9xC8prAS8YE1+DW5uk6nGpMGMYW4xIZmcRzPonNw8AIX3QVoFn3FGUnUM9EAn7wGQm8FSkeAkz0Lx9FKY5ngVn+OAvYJ4myKIqSJMIwtg44FpgTKb4TuCw5EimpgJ9/3Bgp6qUbfSrKzqEKThF4S/0JwIOR4hNx3hxFKRI/OC2MFGUlSxZFUZJLGMbmAQcCH0eKxxoT9E2OREqKsAy3/00c3ehTUXYCVXCKIQxjuWEYuxQXshbn4mTJo1R+/MZ+B0aKliRLFkVRkk8YxpYDRwPf+KJ0CsKPFKUo+gGZ/ngDsC6JsihKyqIKzvb5MNkCKJUfY4LmwGtAbV/0DfB18iRSFKUyEIaxTcD3yZZDqfwYE+xL4Y0+J+iaLUXZOTTJQAkYE/QC/h4pmlNcXaX6YEzQEOiFs651Bw7GrdOKhqTdUZEDU2CMAO2BdjiL3++xMPy1ou6vKErRGBOcBZwSKdJxRMGYoDPQ2n/sDRwBDIhUyQHuq0iZAmPSga5AfWAt8EssDFdUpAyKUlZULQUnCMp0QnnoHvDJ7u64ziYY8QmHM6ls77GzvNihA402b+ZIl7u87InFqk5ChTLsF6uyoF8r+O8ekJtedJ3+38GBc3mOScFzZXXforBArHFjXuzYkcYNG7K8VuFQ7T9ddhm3fv01LTeWYfI/7RfFc2w5tl0GBMcWCBibNKlsG9d+USQW6HAgzG/iPrdfDmd9xl+ZFPy1rO6xs2wR4b5u3Thl/nw6rCunKCjtF9tggcX1oXdb+Kpj0XUyc+HUL8nsuJw5TArK4rbFkivCO61b83abNtRu2JANNQqmhen5+Vw3YgS3fv01xQx3O0d16hfHlni2bNmZPnpsBQq4PfnKuF9ULQWnjDl8NizLhnlNYGgM6m1KtkSO5zp25N7u3cnMy6PZpk3ss3JlskWqFvzQDJ7fv/jzLVdB39mwewVs67cqM5Nre/Ui1qRJkedr5uXRdNMmNqaX6bCkKMoOIMApMRh/CKTnw8kxSK8Eqq8Fbth3X/7TqhX/a9aMCZMn0zAnZ7vXKbvOB3vBp52LP7/nYjf3aLa2/GWZVb8+1/TqxcI6dYo8X2/LFhrk5LCxRg2yc3W/USW1UAWnBAT441RYkwWN1ydbGkescWPu79oVgJz0dJ7o0oW/ffllkqWqHuy21E1QZraC9ZmQUwMabIQ2K6DtSmiz0vWZ8mZZzZpceOCBzKtbt1B5nS1b6LBuHenWcseUKTTbVEk0ckWpxmRtgTM/h1pboFYlmSNO6NyZ/7RqBcDCOnV4o21bzvnppyRLVT045EeotxF+agaba8CWdGi+xo0fHZZX3FxjWqNGXLbffqzPKJyFusmmTbTYuJGWGzZw89SpZNhKoJEryk5QtRSccnB7ZgCNy7rRXeACYz4CDvMfp0xu3rwPsdiGJIpU+SmjfpGO27WvW1k0tgscY8wjFGRisrhMf+PWZ2R899Tf/pYHbk1OLAx1ZCqJMn5fhMV+qCQYU9AfqlKISFlTDt9Ng7JucBcZZ0weBUmGxj3Qteul5/zzn/q+KIky6hdZwP7+X7IIjEkDZgB7+aLVwF3AxGW1av3y7pgx1tfTcWR7bK9fmAoMV96ZPhodF8qbCh53qpaCUz2IZr57OxaGqtxUIwJjmgHnRIrOjoXhxMR6OigpilIC0XHkHn1fVDsGUKDcrAMOiYXhjMRK2i+UVEbTRKceSyPHFwXG7JM0SZRk0Auo6Y9nAM8mURZFUVKT6DjyYmBMZQpUUMqfQyLHzxSl3ChKqqMKTupxCRBPndYY+F9gzDFJlEepWGpHjuerhU1RlJ3gFCDPHwfAp4ExJSx9V6oY0S0N5idLCEUpT1TBSTFiYbgYOBGXox4gG3grMOaPyZNKqUCiOdoOCYzJTpokiqKkJLEw/AhnLIuzO/B5YEyX5EikVDBRD97RSZNCUcoRXYOTgsTC8PPAmIOAt3AbO6YBTwfG7B8Lw5nJlU4pZz4FfgJ2w61dfjEw5nRcHPXeFGz0+RvwnXp4FEUpilgYPhwYswx4BqiFiwh4NTDmgFgYltPGOEol4TngZtzc4YjAmFsBA2TiwqDjG33Oi4Xhz0mTUlF2AfXgpCg+ZvYAYJ4vygbGJk8ipSKIhWEeLttNnAHASmAL8DXwGvAB8C3wnVpkFUUpjlgY/gvoB8Q3welGYc+OUgWJheE84PlI0Q24PrAO+C/wBvAhMD8w5v3AGDWGKymHdtoUJhaGiwNjngVu9EVZJdVXqgyP4ZTbYduptxdwBjC6vAVSFCU1iYXhp4ExX1Kw8FzHkerBSOCPFF7XWRRH4ram+He5S1TFMSZItgglEhiTbBHKFPXgpDCBMW2AsyNFmjK6etAeZ3UtDT+UpyCKoqQ2gTF9cQaTODqOVA8OxYUmloY55SmIopQH6sFJUQJjegJvAq180RrgiuRJpFQgBrfWBiAfmApMA1rjlJ+1uGQELwD/SoaAiqJUfvz6vScpmAtMAx5InkRKRRAYkw48SIGRewPwOTAX6ArUw40jc4EnYmG4IBlyKsquoApOChIYcwjwLlDHF+UCZ8TCUK31VZzAmNbA6ZGiP8bC8I1kyaMoSmoSGPNn4P5I0e/Aibp5dLXgBFyiGoBVQK9YGM5NojxVljCMSbJlKIlYGFZq+XYFDVFLMXxY2ssUKDergWNiYfhm8qRSKpAeFBgmpqpyoyjKjhIYcxRwX6Toe2B/v/hcqfr0jhw/rcqNUhVRD07q8QDQzB8vBfpqauhqRTRmenGxtRRFUYrneQoMnJ8DA2JhuCqJ8igVS83IsY4jSpVEPTipR+PI8T9Uual2RAejPoExDZImiaIoqUp0HDlVlZtqx5LI8bGBMVU2TEmpvqgHJ/XIixwfFxhzt27KVq34ApiJWwiaDUwKjBmK27+gN4U3+vw0Foa5yRJUUZRKSx6Q7o+vD4y5QDcFrlZMBG4BMoCDgHGBMVfhkgscQMFGnz/FwnB60qRUlF1APTipx024pAIAfwA+9gvPlWpALAzzgdsjRYcAC3FrsT4AngBexG3WNj8wpluFC6koSmXn2sjxCOCZwJiaxVVWqhaxMFyIy54X50JgPS5C4FVgAm6t77TAmFhgTGaFC6kou4gqOClGLAwnA5dFinoCXwTG7JEkkZQKJhaGzwIPlaJqa2BoOYujKErqcQ8ujXycM4D3A2PqFFNfqXpcivP2b49euI0+FSWlUAUnBYmF4UM4q1s8XK018FpgTL3kSaVUFIExewInl7L6N+Upi6IoqYcPRzsbeCRSfCjwmK7HqDYcS0E21pKwwHflLIuilDmq4KQosTB8DBgAbPRFe1I47adSdTEUZNLbCPwTF7r4PPAp8H/AM8AgXLiBoihKIWJhuAUXmnRdpPg0nOKjVGECYzJw84W4MrsIeBQ3trwFfAK8jdsMNIiF4aJkyKkou4ImGUhhYmH4fmDMQ8AoX9QpmfIo5U9gTHsKe28GxcLww2TJoyhK6uI9OXcExpwEBL5Yx5Gqz8lAW3+8FOitSoxS1VAPTgoTGFODwht2KVWfvSn43X6hyo2iKLtCYExzoEOy5VAqlD9Ejp9S5Wb7iMiBIvKuiKwWkXUiMkVEzqkEcs0XkTOTLUdlRD04KUpgTF1caFKfSPH9SRJHqTgyIscrkyaFoigpT2BMF+BDoIkvWgU8nTyJlAqixHHEr8M6CvgsFoZrK0yqSoqI9AfeAMbgEnJsBAYDj4hIJ2ttWA73zLDWbinrdpN9r4pEPThJQETaeQtAq525PjCmJTAZtwYnzm2xMHytTASsBojIwyLyYLLl2Al+Xfzxx/z43HMAhwXGNNveBUrlYnsWNxG5XkQmRT5/JCI3Rj6vE5EDS3u/wJhGgTGPJ5Tpu78SUdF9AiAwZhAwA5ekBtxi8tNjYfjTjklffakM44iI9BWREvc7E5HvRGSoP+4wZfToK3JWrwZg6VdfnS8iW/e6CYzpgFuH83/Ad4Exg8tL9hRiHPC8tdZYa5dbazdYa18ErgBuEJEOIjJBRJ4VkWdEZI2I/CQi50YbEZFDRWSyiKzw50eJiPhzfUUkV0TOEpG5wApffpmIzBKRtSKyQETGiEi6PzcJt/fd4/4d8J4vry0i94vILyKyTEReE5F2ETk+EpG/+fI1FCxzqFIkfZDzX/Rm/3BWi8g0ERmScN6KSJ+E634sovOIiPzgO1d2wrntvgTKAxE5V0R+jJZZaxdYa7OttTvsFvb56F8G9okU3wb8ddckrTiKeOZTReSkXWjPisghO3KNtfYCa+0lO3CPCSLy+PZrli2JExkg1rJPn6mdTz8dIAt4LzBm98CYtoExQwJjRgXGjAyMOSEwpnZFy1veRPrOWt935voBpVdCnV1+Z/jzF4rIDH9+pYjE4hMFf77MwwOstbdba48t4Xy2tfYzf/9i32uBMRIYcyrwPfCnhNP/DYzZq8yETjIVNY748ynbJ8Apt4Ex1wCTgOj+JgL82U9wKz0pOo40FZHxIrLQy71YRN4RkZb+fLnMU6y13ay1/0wo3gTQtHfvDr1Gj54RGNM8MObOea+++tP811+PG0/b4jaTftEbVqsdIrI70Bm3OWoiz+F+N0f5z6fgFMNGwAXAP0TkIN9ON1zihruBprgkQJcAZ0XaS8cZrnsCzX3Zr76sHnA8cB4wHMC/ExYAw/07oL+/5j7chq0HAO2BZcCkuGLkOQ/4O25T17/vyHeSKiRdwfHcYq3NBhrjNph6TkQ6R84vB8aKyPbSVx6OWyCZj8sGUxUZB8QtdRb4N+4HdnFgTLtir6p8RJ/588A//YtkKyKSUeSV1Ri/KPiWSFEPYDbuJfciMBZ4GJc9bUVgzO1VcGC6xVpb11pbH/eb/xn4XET+GKmzy+8METkNCHHKQX2gFc5iV+lDA/0k9W3cb6soL98hwPTAmNFVaIPHch9HUrlPAHil9iPgDgoyaEU5Bme1H+XXeFZ2Um0cmQjUBXp6uXvg5LYVLUjuxo3PRD6eDiwBrpai54VDgO8DY0ZUQ+9vU///wsQT1tocnPIQf8d+bq2daK3Ntda+jzNGn+vPXQi8ZK193VqbZ62dhctSl5i18Fpr7Wpr7QZ/j5ettfOsYyouQ2q/4oQVkTTf5o3W2oXW2vXA5cBewH6Rqv+y1v7Ht7uhtF9GKlGpOqq1Nhd4DLc2KLoI7jGgDdtXWkYC7+I6wMgdube3ys32lqDPReTQhPMnekvdahFZIiK3+fI24haeLfXnPolbk8WFDDwMdPLWmnXeQtPBW4valOb+GXXqjK3ZsOHsZr17/zr9rruGT7/rLhZ9+CG4AaofcD1OA/85MGZyYMwlfuFopcc/84dwlou9pWgX7T4i8h9vLZ0rIjdKgYs27lp/z3+/j/vy2iIyVkTmiXMHvxud7EiCR8Y/j4tE5Ctx3oHPRWTP0vwNItJYRJ721rglIvKUiDSKnM/2ssz1bX8XtxSKyKkiMt1bgxeLyCMiUsefexC3N8VN/m+bDTBl9Oge340btyDefu6GDcx75RWmjx3L9LvvZt6rr5K7YQNATeC6b++7b1Hzgw76sWaDBt/7dmbErUqpjrX2Z2vtjbh1Aw9EJq9l8c44CPjYWvuFHwQ2Wms/sdbGwwCKCw8o9plG6CQuVGGdf69sTRYiIqNF5IPiBI5bmsWFuL4DpMffL2k1agyr3bLltAVvvz0HN1kFYPPMmSx+4gmGHXII6WlbX/sZuMn69MCYKrORXzmPIynXJ0TkHElLe6l+586fA9Nx7xSWff01s8aN495TT+XU/faLaju1cYaSLwNjem17t8pHCo0jBwETrLW/e7l/t9Y+ba1dUtyz8+0+KS7caK2IzBSR0xO/AxE5R0R+9nJOkIj3UYrwKs555plbgbXLpk5lxv1u+e6SyZNZ/u23rJg+nZl33cU3d9xB7oYNfH3rrWxYvLg+bt+kjwNjuorIxyJy0048rlRjqf+/deIJEcnErV+L15mfUGU+7p0D0BE4TURWxf/h3r9RA2Q+8EvCPU7z/Wm5iKwGLqZA6SqKpkAtYG68wFq7Dvidgsx5Rcla5ahUCo7vLBf6jz9ETq3HhWDdLiJFWhtFpClwAvAEMB7oJZGwle3c9zScVfxsnCXoMeBdEWnvzw8AngJG+/O7415E4L7Dh3BuwBbA18Ar4hZtfYZzU8717sNsa+1Hpb1/Zr16nQJjRjft3fvKnDVrds9q3rz1PqNG0fn001n8ySesW7AgsSmAg4EHgIWBMX8NjEkvqlJlwT/zi4EtQEMSXLQiUh94H7cQtgXOrXsecCWAtbaHb6q//36H+8+P4/YGOsBf9wXwppRszTsXOAn3wvoF9z2Whme97F1xVpImuMlRnPHA/jhltB6uny7x51bjrGcNcBOPQ4Eb/d92CW4/glv837YHQK2mTVtlZGdvVY7nvfwyeZs20e3ii+l2ySVO4Xm18PY3q2fN2q3zGWfsue9f/5pRt0OHpbj+XJV4ATcA7eE/l8U742PgOBG5VUT6iUiD6PUlhAcU+0wjXABchgtl+Bfwtojs0Ea9PsR1AJBnrc3uNXr0YfvedNOlbfr377Hi229r5OfmIsDQ/faj9oIFXHrhhVzcrx/PjhzJ3m3aRJvaA/goMOaxwJiGOyJDZaScx5GU6hO+X8zrfNpp+69ftGj//NzcDID0tDTSfvyRay67jD577MFVAwbw5J/+RJfmhexiPXFKzr2BMduE6lUmUmgc+Ri4W0RGiEhPiYQMFfXsrLXx9/RknLLeALgZmCAiXSPtpuM27twHNwbtDtxT0nfW5ayzbsB5k7bSvm9fDu7fn3PPPZcN69eTs3Ejj11wAW169mTZ11/Hqx28admyaYgcXLtVq2dLukcVYQ5OWdhGqQROxXnf3vefOySc74ALMQMXafCEtbZB5F89a223SH1rrd3qzRORtjiv361ASx+1MI7C3tf8hHsuBTbjFKp4O9k4L9MvJVxX5agsCs4NXpvdiHuQw621iTuwPwmsxQ0ARTEMN4hMstZOA6YCI0p5/2HAI94ql2utHY/bAT7eoS8FHrbWvunPr7HWToat62nesG7R2UbcoNUO6FLKexd5f0lLm9lo773/jdPwpVbjxjTt3ZsaNWpwVN++tO/Shf3r1+eqY47hgr59OXC33UgvHHmRjtu069+BMY13QJaKIv7Mf8XFlZ4ExNcqRV20g4Ac4FZr7WZr7ffAnfgY1KIQkSY4K+1F1trfvBvZ4Cwl+5cg093+eW7GhbgEJdSN36sVcDRwpbV2pbV2JW7QHCgiLUWkGS4u94KIm3mOtfbKvoHXAAAgAElEQVRHAGvtO9ba76y1+b7sIUpwPwfGtG2w555n43+7OWvWsOann+gwcCBH9uzJJQMHEt56K2vmzGFo9+706tABgCZBQFazZkhaWmbbgQP7Ap2bH3TQNhapFCY+iET7+i69M6y1L+H2i+iKi7VeLiIfikj3kgQp5TMdb62d4vvmnRRk5dkpAmPuBb4Eetbt2JEaWVnUWrSIJ//0JwZ36MDUKVM499xzAejcrBnjzzuPawYOpE5mdAkGw4FZgTGnpuhu9uU+jqRYn2gYGPMY8N96Xbq0rZGVxarvv2fvNm0wffvy65w5nP+ngqVZ3du04Znzz+eSfv2oWWNrdFoaLgTvO5+UoLKRauPIUNyEdRhuU+bl4hZ71yrpj7TWjrducXuetfYF3Pykb0K1a/zf+xtOkT9HXLhSIRr37NkEoEZWVqH50X4dO/LChRfSuXlz0iJzid4dO/LkXXex7vvvkbw8AJZNnZpRv0uXtL1GjHinKnl/i8IrHJcAZ3qvXyMRyRKRk4G/AXdaa+f56gd4j0u6iByB64/xrIQPAaeKyLEikiEiNUSkq4iU9P1l436DS4EtInIAhdfsgDOWbp1vWmvz/T1vEZFWIlIbp+zOwo0R1YbKouDcZq1tgLN4vA0ckVjBWpsHXA1cLyKFJuwiIsD5wERbkOpuPHC6FLFItAjaEnHneX6iwJ3XgcKWwOi9m4gLT1ogLhtFXEMuyYVY4v0DY+rX3333Lvk5OR3iZQ0aN+a6QYP4v6uu4u9nnEGHFi3o0qgRp+6/P8MPO4wHzjyTd0eN4tpBg9irZaElF4fhFhQXstRUAm7zFoxm1tqDrLXxDEGJLtq2wPyoVYPCz6Yo4paLbyKu4BW4kJySrlscOV5PgnWrGOLtzYuU/RQ518EfF9d/jhIX1rjU9587Kabv+LDDzyUtbav1uWNWFgAf3nILY4cOZXifPvz5xBMBOKxtWx455xya16/P8QcdRKemrtm0DGd8bNa79+tVaP1F3CWxPF5QFu8Mb9Q40VrbHOiGs9a96a8vklI+0/mRe1ic1b8NO0jzgw8+AGcFvgL/Pq+VkcHxQ4eSNX8+3du04fHHH2fw4MG0aNFi63VpIgzp3ZuXLr6Yw/cqlGugGW5NwFupstg8QoWMI5W9T+CTMuGSSwz396fVfvuRvWABjw8bxvuvvbZNnwCokZ7OuYccwj8vvJD9OhXa77Md8GZgzD8DYwpflFxSahyx1q6z1o6x1h6IW8N1Nk7Zub64xkQkTURuloIQ9lW4tTuJ/efnyPF8XIhyk60lIhIYM7xlnz7/jl5UOzOTRtnZjDvrLNo2akRR9Ovbl07t23NqixZ0b9mS5dOm0WTffcF5ij4KjHk8MKboi6sA1tp3cAaJPrjvdhlwA3CVtfaGSNUXgYG4NXnjgYsjxvAZOIPF5bg+8jtOAS52rugV8RB4HZfC/Vrc+znKrTjla6WIxCOLrgBiwFe490hL4Dj//qs2VBYFBwBv/R6Os34fX8T5d3AaaGLGsH64LBfniVsDsQRnacmmaLdiIr8Qced5OlHwgpxP8R6ZMXiLjrW2HgUvvvhgVxo34Nb7+wV8T29Zt65+Rv36CBB07EjX1q05KQhoULv4xFgN69Th5CBgwvDhjOzbN+rD7AY8lSKLA23CIPQL0D5h8hB9NrDtAs34i75Lgju4trU28eWwq8Tl6JAgX/zc/LgsiRf6sIrXcOFV7Xz/uYYi3M8+e96/cIuaERGuOuYYHrrQReIsX7Jk6wVz5zpduW1b1xXTRDiwc2eeHTmS0w84oOD+6em9cIscqwJDcYtAZ0cLy/KdYd2i0Ptw4ajxUK5Cv+9SPlOI9Bfft9tR4IUqFYExY+t36TImWrZfp07888ILedAYPv30U2bPns0zzzzD+eefX2QbzerV4+5TTmHs0KE0q1tInx+As9pvoyRUdipyHKlsfQKg40knXYOz3G+NN+u75568OW4cc779lh/nzCmxTwC0adSIcWeeiTnhBOp7I4rnFNxi88q+NqfSjyPW2hxr7RvABxSsFStqvnAarj+fBDT0Svx0tu0/7SPHHXBhSsviBW36978SF/6+NexxUI8eXNKvH7UzM4l/NWlpRU8TRowYwZsvvcRxTZtSt3ZtWnUv5LT8E65f7EjkSkphrZ1sre1vXVhZHWttT2vtEwnVNlprz/J1Oiaet9Z+Zq3tZ61tYq1tZK3dz1r7L3/uI2vtNok9rLU3W2ubWmvrW2tPsNZebq3tGzn/trV2N2ttQ2vtAF+23lp7qbW2tb/Xcdba+ZFr+lprby3Dr6dSUukmvNbaFcC9uDjpouT7Cy5kIKr1jsDFtu6Je1H8AeiOC0cotEhURGol/KuB06JHish+3m14rm8j/hIbB1wgIgP8+XoicrA/Vw/YAKz0Vr47E+RdAjTbTiz11vvn5eQMWTZ16nEbliyhUffuhCecwL7t2xeZ7qY40tPSOP+ww7jpuOOixX/EufBTjbdwC+auF5FMEdkDNzkYH6mT6KL9HRc+8pCItAYQkQYi8sdSevSKIz2x/+AsMe8B9/h7NMS5g9+x1i72svzLy9JBHJ3FLVTN9H/bSmvtRnEx1YkpR5fgJl3DcZmvEBG6NG/OqfvvT+vWrenfvz+jRo1i1apVrFy5klGjRjFgwABaFvbkkZGezpVHH825hxTKhDo8MKZQ6txUQkTaiojBxb1fljCpibNT7wwROU9EhvhQFcQlBbkAmOnfU5DQ9yjdMwU3id5XXCz/X3ALu9/awT+/Z0Z2NlhL5saNmBNOYNyZZ9KmUSOaNm3K8ccfz2mnnUZWVhZHH310iQ313XNPXrz4Yob07p242Hz3Yi+qxJTXOJICfYKspk07YC2bV66kad26WxXYrp067VCfEBEG9ejBy5dcwqAePaKnGrDtWoPKTqUYR0TkXhHp7cePNBHpi8va90lEhnQRiRpc6wG5uDClNBE5D+fBSWSMn5s0w60XfsaHKwHw/+zdebxd093H8c8vs8whISQiQiIVQ9RRs6LkqaCl1DwrWlU8lLaKbRsfitJqq0JNMY+pOWjF2MgxREWITAiZJZHczMnv+WPtc3Ny3Pmee+/Jvt/363VfydnDWuvss+65+7fX1LJt2775B1912GHEhxxC+7ZrN+L37NmTyZMns3r12rHWCSecwNtvv80Vl1/OmaefzqO/+lVFrb91WttPpCGUXICTuJnQKlI4fR7uPpbwJKwzQPLLfAhwvbvPyP8hBBs7mFmuD2xLQr/m/J9b3P1+wpO64YQuLmcCQ3MRr7s/Q7jBvJrQRP0Ja2Yoigi/2HMJ/WLfBPKbAf9FGIA2JWnm/lZ/y/z8P7j++vtnjxlD/2OP5fghQzho+4q+x2rmRzvswOGZtYaRXLau9a139wXAEGA/YCZhjvl7CDcvOb8HLk+aaP+ebDuN8Dm9YmYLgf8Sprqsz3ScJ/Ht+rMzcByhX//Hyc981q67pwDvA6OS40YAPT3MbPIL4DozW0QIpO8vyPOPwE7vXXPNLeP+8hcAvrvZZmu15A0fPpxOnToxcOBABg4cSNeuXbnnnsoXI//Jjt96+Fr0VZgb2CUWZhP6hnBDuiWwm7s/VtHB9fjOmEf4LhhvZmWEAcbzWXtcxFrdA2r4mQLcRpj5cB6h9enApK7XSrvu3emx006Mv+02jv3+9xk+fM1SDWeccQbvvfcep5xySqVPZfN1bNuW3wwdysGDB1d77DqiIf6OlHydWG+jjZb32GknPh42jDfimGnZbPm+2tYJgK7t2xMfcgh7DlgnY12gpP6OtCAEzLMIn/NfCTPW3ZCUc0Ky7e3kfuF4woQwowlji74kjP96rSDdVYQg7r9JeSeTTKBQmR0226zC7T/72c8oKytjgw02oGvXrqxKxt107dqVww8/nLFjx3LqqaeWt/5u17v2vShFGoNV/MBTmkImjrcjND2zXuvWPHXuuVV2SauJeWVlHHzzzSxdketSzqBsFH1Uv5JKY0q6Cb0MsEGHDow45xzata7f0g7Tvv6aw265hVVrfv83ykbRrPqVVBpTJo5fJhln8tfjjy8cM8GUKVPo378/U6ZMKe+uWBNXP/00j7/zTu7lL7JRdGuRiiyNIBPHY0kWgr7/jDMYkDfOpq51AuCChx/m3+PH514eno2iCh8oSGnKxPFXJFMSP3feefToVPthuZdddhlvvvkmI0eOLN92+l138e5n5cN/9s5G0agiFFek3kq1Bae5Ku8qtFv//vUObiCMy9lliy0qzEPWGeWf2T7f+U69gxsIfey3XfsGZ8/KjpV1z8qVK7n22ms59NBDa30jK+mkOiH1MXPmTIYNG8Y551Q2AaFIaVGAU1rKI5GCmdDqpSCtLSo7TkpW+Wc2UPVCqpHNZunSpQtvvPEG119/fVMXR0qA6oTUx3nnnUe/fv04+OCDOfDAUpwtXOTbvjVjgzSp8oCzVcvirc/Zeu20FNSue9YsPd9w9aKkF4SVmstkMpSVlTV1MaSEqE5Ifdx4443ceOON1R8oUkJ0s1tayufPnzSreMMhJq6d1vTKjpOS1Rj14quiJSwiIiLShBTglJbXc/95c+JElq9cWe8El61cyehJk/I3vV7ZsVKyyj+zVydMYHURJgZZsGQJ760ZGLpWHiIiIiLrMgU4pWUMYQpL5i5axGN503vW1SNjxjB3TdeE6cA7VRwupekVYBHA1DlzGPnhh/VO8N433mDJmpn1xhOmFRURERFZ5ynAKSHZKFpG3kKhf37pJcZ9+WWd0/vvtGn85eWX8zddk42iFZUdL6UpG0XzgT/nXl/zzDNMnTOnijOq9tbEidz9xhv5m67IRpHmixcREZFUUIBTev4OjANYvmoVvxo+nP+s3cWsRt6cOJGz77uPFavK1xz9ABhWtFJKY7se+AygbNkyfn733Yz94otaJzLyww/59UMP5a9S9zrwcJHKKCIiItLkFOCUmGwULSasqD0f4JulSzlr+HCufeYZPpkxg6oWZnV3Pp4+nWuefpqz77uPhUuX5nZ9DRyajaKllZ4sJS0bRV8T6sUSgDmLFnH6nXdy88iRTJk9u8pz3Z3/TpvGpU88wUWPPcayNWO7viQs2LeqitNFRERE1imaJroEZaNoYiaO9wOeBnoCPJLN8kg2S9/u3RkyaBDbbbopHdu2xQlP9Md+8QUjP/yQz+bOLUxuOjA0G0UaY7GOy0bR+5k4PgB4Eui6yp1733qLe996iwEbbcSQbbbhO5tsQoc2bVjtzqJly3hn6lReHDeOr+bPL0xuEnBANopmNvobkaKbNm8eXWfMKEpa8xcvLko60vQq+HtQZ4uW6vlYWkyaNYt5RZo2fPHy5UVJR6TYFOCUqGwUvZOJ4+2Bu4Ef5rZPnTOH20aNqmkyzwInZaOo6kf8ss7IRtGopF7cB+yR2z5h5kwmzKxxrPIA8ItsFC1ogCJKE7j66aebughSgn736KNNXQQpQWcNH97URRBpcOqiVsKyUTQLOBA4mHBDW5NHLouA4cBBwEEKbtInG0WfA/sAhwOPAjV5tDofuAP4AXCsghsRERFJK6tqTIeIiIiIiMi6RC04IiIiIiKSGgpwREREREQkNRTgiIiIiIhIaijAERERERGR1FCAIyIiIiIiqaEAR0REREREUkMBjoiIiIiIpIYCHBERERERSQ0FOCIiIiIikhoKcEREREREJDUU4IiIiIiISGoowBERERERkdRQgCMiIiIiIqmhAEdERERERFJDAY6IiIiIiKSGAhwREREREUkNBTgiIiIiIpIaCnBERERERCQ1FOCIiIiIiEhqKMAREREREZHUUIAjIiIiIiKpoQBHRERERERSQwGOiIiIiIikhgIcERERERFJDQU4IiIiIiKSGgpwREREREQkNRTgiIiIiIhIaijAERERERGR1FCAIyIiIiIiqaEAR0REREREUkMBjoiIiIiIpIYCHBERERERSQ0FOCIiIiIikhoKcEREREREJDUU4IiIiIiISGoowBERERERkdRQgCMiIiIiIqmhAEdERERERFJDAY6IiIiIiKSGAhwREREREUkNBTgiIiIiIpIaCnBERERERCQ1FOCIiIiIiEhqKMAREREREZHUaNXUBRARERERae7iOOO5/0dR1pqyLBXJxHF5+bJRVHLly6cWHBERERERSQ0FOCIiIiIikhoKcEREREREJDU0BkekCcRxxoBdgTeA6VGU3aSJi7SWTBy3BP4HeAZ4NBtFP23iIomIiIjUiAIckUYUx5k+wPHAWUDPZPPGcZy5Crg4irJe6cmNIBPH3wFOBC4EcgMID8/E8eHZKHq06UomIiIiUjMKcPLEcaYX8F1gELAV0InQjW8JMBn4CPgvMK4pbkQzcbwlsH1Svv5A+2RXGfBpUr73s1E0qbHLlmZxnOkL7ABsDQwAOhJu/hcDE4FxwAfAhMrqRRxnBgB/AX7AmsAh30XArcAXtSlbJo4NGAhsl5RvC0K9cGAR8ElSvveyUfR5FensDtwIfK+SQx7JxHH7bBQtqU35RERERBpbsw9w4jizAXAMcBSwWw1PmxzHmQeBe6Mo+3GDFQ7IxPGmwHHA0cC2NTxnLPAgMDwbRdMasHipFceZnoTrfhSwYw1PG59XL6YU7JsN7EPFwQ3A8CjK1ji4ycTxFoSWoKMIwXhNznmbUC/uy0bRrILdC6k8uAG4UMGNiIiIrAvMvUl7xDSZOM60A84mPDnvUsdkVgN3ApdGUfarYpUNIBPHXQllOwdoU8dklgE3Addko2hBscqWZnGc6QhcAPyaNS1ktbUS+CtwRRRl5wBMmZK95J57fn55JccvAraMouzM6hLOxPGGQAScAbSsY/nKgGuBG7NRVAbYq598ctd5Dz54QiXHTwUGZqNoWR3zW+eYWaN/Mbp7zdcUyGQa/4s7W3prMoiIpInWwSmeZhngxHFmJ+AhYPP87WYt6dNnezbccEt69NicDh26Acby5YuZM2cqs2dP5rPP3mXZsrLCJBcD50RR9vZilC8TxwcBdwEb5G9v26oVO2y2GVv06MHmPXrQsV07ABYuWcKUOXOYNGsW7332GctXrSpMcg5wQjaKnitG+dIqjjP7APcBG+dvb9myNX36DC6vF+ut1xkwli1bxOzZU5k9exKfffYuK1YsLUxygVmL0/ba69Tj/vOf+39UQb3JuSyKsnF15cvE8TGEbmyd8re3b9OGHTbbjH49etC3e3c6tm2LAwsWL2bK7NlMnDWL9z//nJWrVxcmOa1b+/Yn/HDbbW94ZMyYHSrYn3NcNoruq658aaIApwIKcEREGpQCnOJpdl3U4jhzJHAPea0iG2zQh112OYatt96P9u27Vnn+ypXLmDjxLbLZx5g06a3c5vbAsDjObA+cG0XZb0UYNZGMp/g1cF3+9kG9enHU977HXlttRYe2batMY9GyZbz6ySc8OHo0H31V3qjUHXgmE8e/zkbRjXUpW9rFceYMQqtL+dTpG200gJ13PorvfGcf2rXrVPnJwPLlS5gw4TXGjHmYzz9/HwCzFl169drm4VGjhuUfugp4BNgT6AXMIox9qVQmjlsAVwG/zd++Y9++/HSnndijf3/atW5dZfkWLFnCv8eP54HRo5k0K/ROW691694bdu78rwdGj84/tAz4J2EGtfWB94AHqkxcREREpIQ0qwAnjjOHEMYgANC2bUf23fdMdtzxJ7RsWbNL0apVWwYO3JuBA/dm0qT/8MILNzJ79uTc7rMIYyzOqmMR/5e84Gajzp05d8gQ9tt6a8xqFih3bNuWodttxw+33ZYXx43jppEjmb1wIUm5bsjE8epsFN1Ux/KlUhxnTiG0jADQocP67Lff2Wy33QG0aFGzXmBt2qzHNtsMYdCg/fnkk1G88MIfWbFiKdOmfZB/2GTgmCjKjk66SP4SmBtF2YXVJL9WcLPp+utz/v/8D7v371/jetFlvfU45Lvf5eDBg3nq/fcZNmoUZcuW8cmMGfmHZYFjslH0adJF8jfAS9koqrRppzloyFbumn5+Vcpm659GZTKZhktbRESkgTSbLmpxnNkaGE2YAYvu3fty9NE3sf76veuV7ooVSxkxImbcuBfzN58aRdl/1CadTBzvB7xA0oLw3c0247ojjqBr+7oOAwnmlZVxwcMP8/7n5RNorQL2z0bRv+uVcErEcWYXYBRJi94mm2zNUUfdQKdOPeqU3urVK3n11Tt49dU7cP9WXHBUFGUfqk16mTg+gtCdEoA9Bwzgip/8hI7VtORVZsny5dz4wgs88e67hbtWArtno+jtOiWcMvld1HLfkUUJRqpIs85d1HIBTjGDkYrSVBc1EZEGpS5qxdOi+kPWfXGcaUHoZtMRoGvXXpx88u31Dm4AWrdux2GHXcXWW++Xv/lvcZzZvLJzCmXiuHNSvhYA2/XuzZ+PO67ewQ1Atw4duOW449imV6/cppbAg5k47ljvxNdxcZxpSwge2gBstFF/Tjzx1joHN/Pmfcmdd57OqFHDyoObghag2+I4072m6WXiuCdQHijvtuWW/OHII+sc3Iz/6iuOve22tYKbli3KvwJaAfdl4rjqvm4iIiIiJa5ZBDjAYYR1QmjVqi1HHvmHasfa1IZZC37840vZcMMtcpvaEGZAq6mzCONk2KBjR6474gjatipe78F2rVtz3RFHsEGHDrlNGwJnFi2DddepQB+Adu06c+SRf6BNm7oFlR988Cy33nrMWl3SNtvsu5x22j106VI+Z0Fn4LxaJHsh0AFCt7SrDjuMVi1q/yu72p2733iDk++4g8/nzi3fvv+gQfzjlFPyx3VtSZgaW0RERGSd1VzG4FyS+88uuxxDz54Dip5BmzbtOeCAC7j77p/nNp0Ux5nLq1vbJBPH7YHzc69/ue++dO9U9YD2utiwc2d+se++XPnUU7lNF2Ti+M/NdW2TOM60An6Xe73XXqfSrVvtW/SWLl3Is89ey3//+3z5thYtWrL33mew++4n0qJFS4YMOYdHHikfQvOrOM5cF0XZ+VWlm4njHsAvcq//d8gQOiWz5tXGzG++IXriCbJTp5Zva9+mDRcecAAHbr89ZsZJu+/OX/71r9zuizNxfHdzH3dTnbp07S1mF7dq1WVcjsbbAGt3EWkqxeiakt+VpD6yUVSf00u6C0tDKJH6U6vjM3G1k3jWSKl3WZLmJfUtOHGc2YxkgcxWrdqy667HNlhefftm6NNncO5lK8JMVNXZjTBbFRt36cLQ7bZroNLBgdtvz0adO+dedgd2brDMSt9goDdA+/ZdyWQOq3UCn3/+Prfeesxawc3662/KKafcwZ57nlLePe0739mX7t3Leyx2BPauQfI/ANoBDOjZkz0H1D4of/mjjzj6b39bK7gZ1KsX951xBgcNHlx+w33E976XHzz1A75T68xERERESkTqAxzCdLwA9OkzuKhd0yoyYMBeFeZdhfJjdu/fn1Yt67p2Y/Vat2zJbltuWWHezVD5e+/Xb2dat65568iqVSv517/+xl13nc6CBdPLtw8e/CPOOOM+evXaZq3jzVowYMBal7pW9eL7AwbU6un/4uXLuXzECH7zyCN8szSszdPCjFP33JM7Tj6ZTddff63jO7RtS6Zv39qWT0RERKQkNYcuauVNKptuun2DZ9anz1p57FCDU8rLt/2mmxa9PIW279Mnf5B5TcqXVnWuFyNH/pG3314zGVq7dp046KDfM2jQfpWe06fP9rz5ZvnL2tWLPn1qVb7fPvIIb06cWP66Z5cuXHHooeyw2WaVnrP9ppvy748/rk35RFKptt17SlU9u5ZJHa2L9Ud1RdIoXQFOBat777gtvNM3/L9Dh24NXoQOHdY8He9WxrbVrTj+vV124e0eYdaubmsmAWgw3fJmZttl1qxDKy1fmqaEreA9fmdHGL9J+H9t68Vuux3P2LHPsGzZIvr23ZFDDonp0qVnlee0b78mj17z2Ke6ejFgr72Y0KULQK1n0zv9+99n9KRJrHJnyDbb8LsDD6x2/E5+3Ttg2rTTyWROr/DAlNeLJlVq5SlUVfnSVC9KQTHqQkOuj9Qc1fQzac7XvebXKD3fF8X+3j64AdMuhoPzCljs8hW5XqQrwKlAy7yh0itWLG3w/PLzaFmDYdqtVq85aOmKFQ1RpLXk59F6dfMdR16fetGlS08OPvj3zJv3JbvtdnyNFgNtzHqxTe/e/Gr//enWvj1Dt9uuRt3b8vNo1YzrhYiIiKz7Uj8Gp9viNf+fPn18g+f31VcfVZh3ZXotXnPQ+K++aogireXj6WvGjPReXIMCplT+Z/PVV7WvF4MG7c8ee5xUo+AG1q57ta0X+Z9ZTR23667ls6TVRH7da871QkRERNZ96WrBqaB564U4swPwLsDUqe+wevVKWrRouLc9ZcqY8v9/uhG/IZu9rqrjH8lbqX7MlClr5gVuIG9PmVL+/wf69Tvs/LvvfryBs2x6FdSL1+LMEOAFCJ+ZuzfoNL759WLsppx6yO3Zf1RxOC/G8ZnAXwBGT57MUTs33IR3q90ZkzfT2t8GDtzr1AceeK3BMiwVVTWHmzV+14DaNM83RdeFNHUrKXXFudal171lXVbzz6T5Xvfm+B1R7PecP814KV7P/OnnS7F8edIV4FTsA2AusMGiRXP54IPnGTz4oAbJaP786Ywb92L+pn/X4LRXgdVAiw+mTeP9zz9ncC0HldfUu599xrgvv8y9XAWk/ya2cm8By4C2c+ZMYeLEN+jff48GyWjGjAlMmvSf/E2v1OC08oVpXp8wgSmzZ7N5Mlar2F75+GO+nDcv97IMGFPF4SJSiTguzlpCxRioXqy1TeqjOQ5eb6o6oM9bZG2p76IWRdlVwE2516NG3cayZYuKno+78/LLt7B69arcpteAar+hslE0Axiee/3nl15iZQOMgVi5ahW3vPRS/qa7s1E0u+gZrZQnCY4AACAASURBVCOiKLsQ+Hvu9csv/5WVK5cVPR/31bz00p/yNz0eRdnJ1Z2XjaKPgWchPA7800sv1WlxyeosXbGCW/+9Vhx+SzaKGn6wmoiIiEgDSX2Ak/gzMA9g/vyveOKJS3EvbhAxZszDfPjhC/mbLouibE3vSK8ktOIw9osv+POLL1ZzeO3dNHIkH0yblnu5Criq6Jmse64ltOIwc+YEnnnm2qIHEa+8Mqyw9ebyWpxe/kjutQkTuOv114tWLghB+ZVPPcXk2eVxbhlwQ1EzSSkzq/VPo8pkav8jIiKSEtYQT4VLURxnjgHuy73eYYcfc+CBv6Nly/r30hs79mlGjLgC9/LWm7uBk2sR4JCJ4wi4LPf6F/vswyl77lnvGyN3545XX+XWV17J33xxNooU4ABxnDmHvBa+3XY7nv32+xVm9Yv93Z3Rox/khRfWiheuj6LsBbVJJxPHfwbOAjDgN0OHcvhOO9WrbACrVq/mppEjeWD06PzNZ2Sj6LZ6J54CljcGJ/cdWcwgpaI03b1uY3By09IWM0ipKM0S728tIrKui/PG4ERR6X3nZvLG4GSjqOTKl6+5tOAQRdn7gRtzr997bwT33nsmX3/9RZ3TXLZsEc899weefPKy/OBmDPDz2gQ3iSuAEbkXf/v3v7nosceYu6ju3enmLFrEbx99tDC4eRy4us6Jps+fgHtyL958814eeOA8vvlmZp0TXLx4PiNGxIXBzUvA7+qQ3HmEcVo48H/PPsuV//wn3yxZUufyTZ8/n3Puv78wuLlNwY2IiIikQbNpwQGI40wr4B/A8bltLVq0Yqedfspuux1H584b1SidZcvKGDv2GUaNGsbixfPyd/0X+GEUZes033MmjjsBTwL75ra1b9OGE3bfncMzmRov+Dh/8WIeGTOGe954gyVrr6HyEnBoNoqKPwhpHRbHmXaEmex+lNvWqlVbdtnlGHbe+Sg6dtygRuksWfIN7777BK+9dmfhOK83gYOjKPt1XcqXiePuhPE45U03ndu149S99uLHO+xAx2oW8cyZs3Ah9//nPzw4ejTLV63K3/UocFw2ioo/CGkdVVELTgPlU/7/erfgNAS14IiINBq14BRPswpwAOI4Y4Qn6VdQ0ILVp89gBgzYi4026k+PHpsnK9wby5cvZs6cqcyePZnJk0czYcLrFQ1IHwGcGEXZBfUpXyaO2wA3Az/P396yRQt27teP3bbcki033JC+PXrQuV07HFi4dClTZs9m0qxZvPHpp7w9eTKrvv25/gU4LxtFy+tTvrRKgt+rgbW6kJm1oG/fDAMG7MGGG25Bjx79WG+9zoCxbNkiZs+ewuzZk5k48U0mTnyL1atXFiZ9D6FFr+5NLkAmjjsAw4Cj87e3btmS3fv3Z5d+/ei34YZs3r07Hdq2xYEFixczefZsJs6axWsTJvDu1KkVzV96NXBpNopWfXtX86UApzyfNf9XgCMi0qAU4BRPswtwcuI4sxOhy1p95wb+HLgIuL8O3dIqlYnjA4Drga3rmdSHwK+zUfRCtUcKcZz5PqFefLeeSX0KXAiMKFa9yMSxAYcRJkfoV8/k3gbOz0ZRcWcuSAlrgnVw6hzgNBYFOCIiDUoBTvE0mzE4haIoOwbYCzgUGEmYWaw2PgDOBwZGUfa+YgY3ANkoeg7YHvgZYc2W2noTOAUYrOCm5qIoO4rQFew4YBS1X7RtDHAmMCiKsk8Ws15ko8izUfQoIej9FckCtrXghLWZjgJ2UXAjIiIiadRsW3AKxXFmQ+AQIAMMAgYCHQlB4FJgEjCOMM7mn1GU/agxy5eJ475J+QYn5esPdCDctC4GJiTlex94IhtFnzdm+dIqjjO9CEHwDoTrvhXhuhvhuk8kXPexwJNRlJ3UmOXLxHF/Qr3YLinflsB6hHqxCPgkKd+7hHoxvTHLt65SC04F1IIjItKg1IJTPApwCphZH+AjYIC7VztZQG2Pl9oppc/DzPoRFmXdBnjZ3Q8tZvr1UcplExERkeopwCmeVHdRM7Ndzex5M1tgZovM7B0zO7Gqc9z9c3fvWNOb49oe35yV6udhZi3M7DwzG2dmi81srpk9ZmaF459+C3wBdAHGJO9hkZmVmZkn/+a2XVTT/IukvGwKbkRERKQ5S22AY2ZDCOMN3iIMyN6QMDj7JjOLKzmndeOVsHkp8c/jTsJ6M/8LdCW0gswERpvZdnnH9QP+68HVSSDVkdBtDWBQbpu7l6811Ejvo7xsdTlZdV9ERETSIrUBDmFa5AfcPXb3ue6+2N0fJtzE/t7M+prZXWZ2n5ndaWZfA39KtruZ9Qaw4CIzm2ZmX5vZH83sZTO7LNlfePxlyf6rzWxW8lPhDXwzU5Kfh5ntAZwAHOvuI919ubtPd/czgSzJ4rBmNhbYB7gkaaE5tbI3amZ7m9lKMzvezCYDXyfbzzGzj81soZl9bmbXmFnLvPPczM40szHJMf8xs4F5+48ys/HJvplmdldVZTOzPc3s9eQ6TTKz883CvMSVlVHqzsxeMbOLm7ocIiIizV0qAxwzG0AYbD28gt33EwaI75+8/inwPNCDMCtaoeOBc4CDgY2A6YTZ16qyF2H66E2S8y4ys91r9y7So8Q/j6HANHcfVcF5w4G9zWw9d98eeA24ImmhuaOaPFsCBxAmJ8itIDst2dYZ+DFhlrufFZx3EmEq6O6ELmd/BjCz9sC9wC/dvROhxeYOgIrKZmaDCIuD/oFwLQ8EziJvkdtKypg6pRh4FAbiIiIiUjypDHAIN3QAXxbucPflwBxCFymA1939IXdf5e6LK0jrBODv7v6eu68g3DBWN75jgrvf6u4r3X00YWazTDXnpFkpfx49KipX4itCELB+NelX5rfuviD3Ptz9MXefknRxe48QsPyg4Jw/JOOIlgF3sXa9WQEMNLP13b3M3V+rIu9fAI+4+4jkWn4M3EK4fpWWUdYdSWtmq6Yuh4iISKlJa4AzO/m3V+EOM2tDeDqeO2ZqNWn1Aj7LvUjGOHxRzTmFU/GWAZ2qOSfNSvnzmF1RuRKbENZHqkv3rdWF5TKzo5PuZ3PNbAHwS9YEfxWVtbycSQAyFPghMMnCBA3HVJH/5sDRZjY/9wNEwMZVlTHN8lpNjjezj5KufiPNbOO8Y842synJvi/N7OqCc3vnHXuSmU2sIr87zeyLJK2PCj6vscm/nyTdCi9JztnMzEaY2Zzk3JvMbL28ND3p6pglTFPenB+ciIiIVCitAc6nwGSgohvAowhrhLyYvF5dTVpfApvlXiRjGDYtQhmbk1L+PJ4HepvZnhXsOwYY5e5L6pCu5w/4N7NNCV3ergQ2dvcuhHFJNZ5m0d1fcfcfEQLCK4HhZrZFJYd/BvzD3bvm/XR290GVlbEZOZLQbbEXYU2jy6G8K+X/AQcl3QAHAf+sRz6vE9at6prkcZetmZlv++TfrZJuhVckrTHPADMIdXwXYHfg+oJ0T03eQ0fgvXqUT0REJJVS2b3B3d3MzgKeNLMpwF+BJYRxCDcB17r7lGS8dXXuBa41s8cI66ucTXiyLzVUyp+Hu79qZvcD95nZKcCrhC5pvwd2BioKfOoit2jsbGCFme1CGA8zviYnm9lGwB7AS+6+IGmRgdDCVJG/AqPM7HlCEOfAAKBHJeONmpPY3ecAJJ99bhzUSkLAOcjMPnP3+cB/6ppJwTitB83s18DehHpbke8RFvDd2d3LgLJk7NCTZnZWXjB6vbvnFpSt7PMXEZF1TCmufZOv1Ne+yZfWFhzc/TnC+Ia9CN2e5hBuWn/t7r+vRVL3EJ60P0eYOrg34aZnWTHLm3Yl/nmcAPwp+ZlPuAHtDeySjJWpN3cfT+giNiLJ47fAA7VIogWhS9tUM1tIuAYnuvvUSvL7EDgIOJfQ7W0WYUxPYZe45qiyboCTgWOB04CvkhnohtQlAwtrK11uZp9YWPdpPqHVpqrrvykwKwluciYB7QrOm1qXMomIiDQX1jx7qNSdmbUgzMh1obvf39Tlae70eUh1zOwV4CVCF8EpwKbuPi3ZdxJwsbtvWXBOG+DnhLWaNgDaE1rfBrr7J8kxFwGn5M7N5ePuV5rZsYQJMIYAH7n76mTczNPufpmZ9SF0I8wvy26EtaK65SZ9SAKsEUCHJA0H9nT31xvgUomIiKRCaltwisnMjjSzdslUvTGh3/5zTVysZkufhzQEM9vKzH6Y1KsVwAJC177VSZe2z4BTzKylmW1LaOmpTGdCl7fZQIuk++P2eftnE8ab9c/b9jYwEbjBzNqb2SbAFcCd7l7d2DQRERFJKMCpmV8RukNNB/YFhrr7vKYtUrOmz0MaQhtCN8LphG6EZwOHufvSZP+JhG5/CwgLwFa1FtLdwGhCwPIlsDVhrSIAkokrLgEeSGa5+727r0zS701olXw7SePXxXqDIiIizYG6qImIiIiISGqoBUdERKQRVbeGkjRPqhcixaMAR0REUsfM7jKzFclCqrmfMwuO6Z0syDrDzJaY2UQzu9LM2jVVuaXhmdlVyYK+35jZLDN7NJn4I7df9UJkHacAR0RE0uruZCHV3M9fczvMrBdhnFNXYFfCdOHHAocCz5hZy4YokJm1boh0pVbuBQa7e2egL2HM24OgeiGSFgpwRESkOYqBRcBP3X2Ku69099HAIYQFfo82s1ZmNt3Mfpx/opndbWb/yHt9mpl9mKx59F7++klmdpmZ/cvMrjezmcA/8/adbWbTzGyemf09/+Y5aUH4wswWmtlHZnZM3r69zWxlMqPkpCTfh82sU94xA8xsVNJKMdbMzkmmGW/23P1jd1+QvDTCjIZbJa9VL0RSQAGOiIik1WFm9rWZTTCzP5hZx7x9Q4GHktnryrn7p4TZ6w5I9t0LnJzbn6RxGHBn8vp04DeEp/zdCAsYP25m+Wsr7UWYnW/T5FyAzYCNgC2AnYCfAkflnfM6MJjQknA5cJeZbZ23vyVhnaXtgQHADoSZ/zCzVsBTwNgkj0OpelrzZsfMjjGzBYRg5hzgsmSX6oUUhZmNM7Mj63H+c2Z2YTHLVE1+x5rZ2MbKr6EpwBERkTT6MzAQ6E64kfs+MCxvfw/CFN4V+QrYMPn/ncBQM8u9PgL4yt1z036fDVzu7mPdfbW7P0tYsDX/pvRzd7/B3ZfnFnEFlgCXuvsyd58IvAxkcie4+x3uPtfdV7n7g8AHwN4F5fytuy9y95nAk3nn70LoevUbd1/i7pOBP1byXpsld7/f3bsAGxOCm/8mu1QvUsDMXjGzZRbG3i0ws/fN7KdFSPcyM3upJse6+yB3f6iG6bqZ7VFw/gHufl1dyllJHv3M7JFkbNmipCXwCQsLW+Pu97n79nnH32Vmtxcr/8amAEdERFLH3d9x95nJzeU44H+Bw82sbXLIbKBXJadvkuzH3ccD7wLHJftOJnlKn9gc+IuF9Yzmm9l8YJ+CtKdWkMcsd1+V97qMMN4DM2thZpeb2SfJzdl8whP5HnnHr3L32RWdn+Q9K1lvKeezSt5rs+buMwiB79Nmtj6qF2lyhbt3BDYA7gLuL2hBaxBWuuOpniW0GG5FqBO7Ai8QummmjgIcERFpDlYn/+b+mD8PHJF02ylnZlsAOwPP5W2+EzgpuTnaBbgnb99nwCnu3jXvp6O7/6KCvGvqaOBnhG5L3dy9K6FbUU1vRL4EepjZennb+lR2sNAK6EAIYFQvUibpUjiM8DkPBjCzQ8zsnST4HG9mx+aON7O+ZvZCsm9ectxWSXezi4C9bc3MjP0smd7bzC4ws2nA+0k6U83suLx0tzOz581sdtJ19sVke65b2MgkzduT7a+Y2cUF5/8rKdNkM7s4Nz4rKbOb2fHJ2KyFZjbSzDZO9m9ACGxudfcFHkxz91vdfVlyTPk05UnXuGOBE/Peay6vSq9dKVGAIyIiqWNmR5lZ1+T//YEbgH+6+9LkkAjoAjyY3By0NLOdCF163gIeyEvuQWBL4E/Ai+6e34Xpj8BlZjbYgvXMbA8zG1iP4ncGVhJaC1qY2SmEJ/U19R/CzGDXmFk7M9scOLce5UmNpBXkrFzXMjPrDfyF0JryMaoXqZN0wcoFlhPMbH/gDsJ7Xx84EbjFzPZKjrmacJ02InRxPRmYn3Q3uxp4JW9mxsnJOX0JAXJ/wtipwjJsDIxKfvoCPYFrAfK6hQ1J0vxZBed3AV4kdHPsCRwInAKcV3DokYSxXb0IQfvlSR5zgXHA7WZ2gpltbWaVBsZJ17j7WHsmylU1uHYlQwGOiIik0c+ByWZWBowk3NyVDwp39y+A7wGLCYPHy4CHCIOwf5g/yDyZcesJ4ACgfJasZN8w4DrC0/x5hBujS4D6dFO5OynTRMJT962B16o8Y+0yrQR+BHyXcDP8JGFQ/PJ6lClNhgIfJnVjNKEO7JfMmKZ6kR6/T7rxLQGuBH7m7h8QJpW42d1fS7qwvg0MB05IzltOCCL6JWOdPkjGM1VlBWHs05K88VT5jgcmuvs17l6WjLuq0ViexIFJua5MxmeNJwRIhcFQ7O5z3P0b4H7yxm8Rxmq9QghO3gdmmtklVQU6Faju2pUMc9fsgCIiImlmZmcA57v7gKYui5SOtNYLM3sFeMndrzSzboRWhyXufqyZjSO0oqzIO6Ul8Jq7DzWzHoRgdCihFeRR4HfuvsjMLgP2cPf98vI6iTAxRL+CMkwFLnb34Wb2V6CLu1fYncvCVN17uvvrlbyH3wAHufueefv3I7RKtzezvsAUYFN3n5ZXrovd/VvjjsysPWFijGHAGe7+j8LjzewuYGV+i1J1166i99ZU1IIjIiKSMma2u5ltkXSP2g64kLW7V0kz1BzrhbvPI7R0DLWwdtFnwGUF46M65W7Q3X22u5+d3OjvTmj5yE3XXNm4qerGU00ldF+rtJjVnP8FsFlBa0u/ZHutuftid7+LMAvf4EoOq+g9VXntSokCHBERkfTpQ+ivX0boXvUEcE2TlkhKQbOsF+7+NXAjYQzNTcC5ZrZnMsaqjZntaGYZAAsLpW6eBBMLCF3Dcl0TZwB9knE9tTEc2MrMfmNm7c2stZn9IG//DKoOgJ4B2gEXJeXdirDO0h01ydzMupnZNWa2TZJ3KzM7DNiGyrs5zgD6mVl+rFDltSslCnBERERSxt0fcPc+7t7e3Tdz91/nTbAgzVQzrxc3E9Y92gQ4HfgDMIcwdfIfgdxCwDsQJgNYRBiY/y5wfbLvEUKryYxkFrHNa5Kxu39FaAnaH5gGzCQEKDm/By63MEPa3ys4fwFhAdf9knNfIMzad2NN8icEaRsCjwNfE8ZgXQz8yt0fqeSc2wld9OYm77Wlu4+k6mtXMjQGR0REREREUkMtOCIiIiIikhoKcEREREREJDUU4IiIiIiISGoowBERERERkdRQgCMiIiIiIqmhAEdERERERFJDAY6IiIiIiKSGAhwREREREUkNBTgiIiIiIpIaCnBERERERCQ1FOCIiIiIiEhqKMAREREREZHUUIAjIiIiIiKpoQBHRERERERSQwGOiIiIiIikhgIcERERERFJDQU4IiIiIiKSGgpwREREREQkNRTgiIiIiIhIaijAERERERGR1FCAIyIiIiIiqaEAR0REREREUkMBjoiIiIiIpIYCHBERERERSQ0FOCIiIiIikhoKcEREREREJDUU4IiIiIiISGoowBERERERkdRQgCMiIiIiIqmhAEdERERERFJDAY6IiIiIiKSGAhwREREREUkNBTgiIiIiIpIaCnBERERERCQ1FOCIiIiIiEhqKMAREREREZHUUIAjIiIiIiKpoQBHRERERERSQwGOiIiIiIikhgIcERERERFJDQU4IiIiIiKSGgpwREREREQkNRTgiIiIiIhIaijAERERERGR1FCAIyIiIiIiqaEAR0REREREUkMBjoiIiIiIpIYCHBERERERSQ0FOCIiIiIikhoKcEREREREJDUU4IiIiIiISGoowBERERERkdRo1dQFaApxnPGaHBdFWSvGebWRieMa5ZGNom/lUZ9zRURERETSQC04IiIiIiKSGgpwREREREQkNZplF7WqupA1Rje0qlTVfaymXdCqS0dEREREJK3UgiMiIiIiIqmhAEdERERERFKjWXZRE2kocZwx4BLgkSjKjm/q8oiIiIg0NwpwRIqjM7DvTjsd8csxYx7eDzg/jjNHRlH2+aYumNRa+Vi3OM6Ub4yibGPkXZOxcw6QiePyDdkoaqjyFGrOY/tqPAayrqqobzWuFw2pijrXnOuFiJQgBTgidWPAjsD/JD+7LlmyoNUHHzyT298ZeCaOM+cDN0dRtsFvPkREREREY3BEamNj4ETgfmAWMAa4EtgTaLXeel046aTb6Nx5o9zxLYA/ArfFcaZNE5RXREREpNlRC45I5doCe7CmlWa76k7o2XMrTjvtHh566AKmTfsgt/lnQP84zhweRdk5DVZaERFpNDVdVqIhVbVkRW2WlmgozXHJCtWL6jVGvVCAI81aHGf6AxflXnfo0K1Lly4b9+rYcYNN2rXr3LNFixZ1+h3p2rUnX345DvdVuU3fB0bHceZHUZQdV/+Si4iIiEhFFOBIs2bWoof76pNyr8vK5lFWNq+hsusHvBXHmaOjKPtMtUeLiIiISK0pwJFmzX11Y2fZCXgqjjMXADdq8gERkXVfI82yCKw9215NNeJMi2vNttfcXXTR69x99xlMn/4xQ4f+lh13PBSAsrKvefjhC/n88/f5yU+uZNttf1jvvBq7XsxYsIAThw1j5erVXHvEEWT69gVg4syZ/O8DDzBv8WJuP/lkBm68MdD49UIBjjR3E4FTmijvjYGvmihvERERaUAvvvgnvvwy9Ep/+umrmDVrEoMHH8RDD13AggXTARgx4nJ69dqG9dfv3SRlrGvgsd2mmzK3rAyAX957L78ZOpTuHTty8eOPs3j5cgAueOghHj3rLNq2avxwQwGONGtRlJ0F3NnU5RAREZF02X33E/jii7HMmPEJAG+//SBjxjyc13vE2HffM+nWrVfTFbKOzhsyhPMfeoi5ixaxavVqrn766bX2t2/ThguHDm2S4AbSFuBkijBzxcFVpFfVvsZwcF4BKsq/uv21ka18Bo51TlN8VmnVHOpFtuKuJnVp/q+Jtbq21KSuVlC+hmz6X6sLQ+XXrFnVi4aqC5WqRb1oku5BzbVeHFzBcY2tqrpxcAkUsKLyNaN60aVLT04++XaeeOJSPv7438CarvGtW6/H4Ydfw4ABezROucrLV5x6sU3v3txz2mmc98ADfDJjxlr7enbuzE3HHsuWG25Y8/IVuV6kK8ARERERESkRLVq0pE2b9b613awFrVu3bYISra0+43Bat2xJ65Ytv729VSvaVLC9MWmhTxERERGRIlu0aC533/1zPvjg2bytoaFi+fIyhg8/i2z20aYpXD19OnMmJwwbxodffvmtfV98/TUn3X47Y6ZMaYKSBelqwSlG81b+Ak2F6VW1rzHkL85UUf7V7W+u1qFrkYnj3sCuTZT9S9koarA5sktO5fWi/PeooWZGqrSLU83qqkPDzopUaTendeh3qc5qUC/yNcrsWbWoF2ud1lgzZzXXelECCzpWee1LYEHH1NeNaurFqFHD8hf9ZocdfszgwT/ikUd+w6JFc1i9ehXPPXc9/frtwvrr965T99cKv4MauF64O1c99RQzFiwAoIUZ5+y/P907deLyESNYtnIl3yxdymVPPsnjv/rVt8fhNEK9SFeAI7Lu+wrYHvh9E+SdAd5pgnxFRERSZ//9z+aLLz5g1qyJDBlyLjvvfDRmxmmn3cODD57P9OnjOeig3zXZDGp1ZWZcedhhYZroVau4+vDD2b1/fwB6d+vG+Q8+yDdLlnDtT3+qSQZEBLJRtBq4OBPHHwH/ABqtg25LS/eDNhERkcbUpk17jj76RmbPnsyWW+5Wvr1z5w05+eRhjB//b7bb7oAmLGHd9e7WjRuOOopO7dqxRd5kAoN69eKe005jwowZbNO76QI3BTgiJSgbRfdn4ngS8CTQM7e9ZYsW7DlgAC1b1G34nLuvXrRs2dz5ZWUzZi9cOGPe4sULcvtWuc+vd8FFRJqhRp9Zr5a0+GbTqEm9eOKJSxo8j8qkuV4owBEpUdkoGp2J4+8BI4AdAFatXs2yFSu4+vDD6dSuXU2T+hR4Ifl5BVjUAMUVERERKQmaRU2khGWj6AtgT+Cx3La3Jk3ipNtv5/O5cys77RtCy88vgH7AAOBXwNMouBEREZGUUwuOSInLRlFZJo6PAC4DLgH4bO5cTv3HP3ji7LPp2LatEyYHyLXSvAWsbKryiog0B1FU2jOEZaOopMuXVqoXpUEBjsg6IJl84NJMHI8D7gLa/XDbbV/v2LbtX4EXgTlNWT4RERGRUqEuaiLrkGwUPQTsBVz9wOjRewEPoOBGREREpJxacETWMdkoGgOMaepypFiDN9/Xc3HIBi9foy0QuW4pv+6Nsrhn7Rnos0sTM+sHDAe2AV4GbgSecveuDZjnxcB+7r53Q+WRBmZ2LHChu2/f1GWRiqkFR0RERFLJzKaa2XE13V6kPN3MFpvZQjNbYGYfmNkNZrZxLZP6LfAF0MXdD3X31xoyuJG1mVk/M3vEzGaY2SIz+8LMnjCzNu5+X2MGN2a2t5lpbG0tKMARkZJgZuPM7MgaHNc3uYFYt5Z+zmNmx5rZ2Hqcv6eZNeq6RTX9fJoqX9WL5lUvSpGZtc57OcTdOwHdgBMIM1qONbMtapFkP+C/7u5FLKbU3LPAdGAroBOwK2Ein3V2kH5BHU01BTgiUitmdpeZrUieaOV+zszb397MbjSzz5J9s8zsX2a2bbK/whtRdx/k7g81cNn3TvLOlXu6md1jZhsUKX03sz2qO642T//M7DIze6ng/KI/yTWzX5jZh2b2jZnNM7Ns/o1r/udT2WdoZleZ2ZQkjVlm9qiZe1XjfgAAIABJREFU9Un2qV5UI631opQlZX7BzOYn7+8dM9sqb/9pyftfYGbvmdmQvH2XJXX4ejObCfyzMH13X+3u7wNHEsZLXp53fp/kd2R68nObmXVK9o0F9gEuSerkqYVP8ZPv4nvNbFhS/i/N7IyC97enmb1uZl+b2SQzO9/MLG//gWb2UZLH00D3IlzWdV7yu78VcKu7L/Bgmrvf6u7LzOwkM5uYd3yn5Dvj6+Q77gQzW2lmeyf7LzOzl83s6uS7b5aZxXnntzezxy20Fn1jZu+a2f7Jvk2A54CWed9RJ1b0+1ZBuaaa2aVm9m8zKwMOM7NWZnaRmU1I6s0bZrZjQ1/TxtYsx+DEcabeT0OqSqM+UwRm4rgoT2qqSqe5TBEoDepud/9ZJfv+CAwE9nL3z8ysK/ADSmfq6lXu3hHAzDYjPKW7ATipMTI3s9buvqIx8qopMzsaiIAfA28D7YAMsF4tk7oXuM7dF5hZe+BK4EFgN1QvqpTyelHKrgY+B35EqIuDgPkAZnY6cCFwGPBf4IfA42Y22N1zN5F7Ac8Am1LFPZW7LzezJ4BTk7TbAf8C7geOJ1zb+4CbgVPcfXszewV4yd2vTM7Zu4KkDycET2cAhwAPmdnzye/YIEI9Po6wDlp/wo3ybOAeC2N8Hk/K9CCwL/AEGuOJu881s3HA7WZ2K5AFxlfRmnYzocVtILAUGAa0LDhmL+ARYBNgR+B1Mxvp7m8QGhweB05Mzj8XeMzMtnD3r8zsAEJd6JhLzMz61vDtnEao3+8T6tnlhO/eHwKfEb7jXjCz/u4+r4Zpljy14EiTMrPnzOzCpi5HRayeXS/MbA8z87zXt5rZLcUpXY3LsMjMdm3MPAk3sw+5+2cA7j7f3R9z9/HJ/lwXnE+S8l2SlHWtPvFmtp2ZPW9ms5OnYi9WlJmFftIfm1lsZg+Z2c0F+08xs0/zn1rmJGV8lnDTljt+AzO7w0J/69lm9rCZbZS3/2wLrRQLkyemVyfbc+9rZPK+bs97X4VP0AqfsrVOnqh9kqQ7ycwOS+rfRcDeeU/u+tm3n+S2SvKYnFyrl81sm7z91T3p3Q141d1HJ08qlyStASPz0sj/fCr8DAk3Tjea2ReEP5wHEv7g5/JQvWiG9aK6a9fElgM9gX7uvsrdP3D3mcm+s4HL3X1s0hLzLPBv4Ki88z939xvcfbm7L64mr2lArlXwIMDc/dLkus4jrHN2rJkV3hhX5V/u/s+kfI8TgrPByb5fAI+4+4jkvX0M3ELoMgdwNPC2uw9395XJ5/pkLfJOu72BVwjBxvvATDO7pPA7w8xaAMcCl7r7LHf/hvD7WWhC0gK00t1HJ2lmANx9UfI5LHT3Fe7+B0Ld3KkI72OYu7+XBGdLCQt/X+Duk5N6cQehK96BRcirZCjAkaIys1fMbFnyxy3XpH9YZce7+wHufl1jlhG+Vc5FZjbRzM4tKFtRu8a4+8/d/axipWdmLZIv20+Tm5+5Fpqa98nLs6O7v5UcX8xBioclN0wTzOwPZtYxb9+rwG/N7Bwz+56ZtS04N9cFZ6ukfFdU8N42BkYlP30JNyDXVnDcLsBrwP+5ewT8HTiuIM+fAXdU9OTNwhPMg4BPktdG+APvhJmLNgMWEp6yYmYDgP8DDkr61w8i6ZaS17VoSPK+8lu4TgPOAzoCIwrLQWjpOA74KdAZ+D7waVL/rgZeSdLs6O6TKzj/AsJNy1Bg4+SavGhmnfOOORx4Clif8AfuFgstFRA+sx+Z2ZVm9gMLrStV+dZnmHft+iXvoTvhifHsvDxUL5pvvajw2jWCFUBF4w5aJ/suAKYAT1noJvbnvO+zzYG/JMHffAvjm/YBeuWlM7UWZekNzM1Lu09B2i8TrlPPWqQ5veB1GWG8SC6PowvyiAh1IVeewvJPqUXeqebuc9z9Inf/LtCV0Jp3KXBywaE9gDaEhzo5n/FtlX5WZrZeUvcmW+iiNp8wfqtHEd7K1Lz/dyd83zxVUC/6EepDeri7fvRTtB/C046Lk/+3InwhrAQGFBzXuonK17qwnMnrXQhfNkOKmNce4Veswd7L74DxwHeS150ITc67VHL83sDKIuS7I7AR4QHJIELXlQfyrzFwFuFJ58Lkut4NdEv29yX8Ee9dkO5U4Ljk/xcCYyrJP3f+ucAMwpSmuX0GTACOSl5/h+QJbd41cMJTzrLk/6/m7c8Ai4G2eWlukCsv4Y/AEuAIoGMFZXNgjwre16UF204CJuaVeRFwYCXv9zJC14RKP8vkPZ+W97oF4Wnx0cnru4BnCtKYDfw47/VBhC4SM4FVyee3TSWfz7c+w8JrR7hJuzLv2qleqF5869rV9/uouh/CQshXFWzrSPi7tFPB9n6ErmiXJ68/An5aRdrf+gyq+LxbJ+ndn7w+AhhXTdlfYe2/U4Wf713A7VX8vvwV+EsV6V8MvFaw7T5C4Nygn8u6+gO8A/yp4He1BbAM2LegLjmwd2V1hbXvl34PfEAISi3ZNgc4Kfn/XhT8/SYEK054oJDbdlGuXIX1IXmd+17ZqS7vf136UQuONBh3X0n4gm0JbGthwN3xZjYZ+BrKW1IuTv6fGzB3ooVBj2Vm9qyZdTOz/7MwKG+Gmf0yPx+rYhBlrtWiMN8Kyvofwh+f/O4b5V0v8tI5MsljQdLNolPe8f2T97PQQreUTH4eFrqD3J732s3sTDMbk5zzHzMbmLe/ykGLhO4jT3nSxcdD0/bzyXvJz2MPq2SQYnJMpQNdK7lW77j7TA9dIsYB/wscnns67qF5/RZ334fw1OtAwlPPmytLswJ9CTdnVfkt8Ly7lw+09vANPozwdJ7k36fdfUbeeas8DMTuSAgIB7LmiebmQFtCV4Tck61JhGb9Ph6ekh9LePL+VVLvhlC9qVXs6wF0oPr3W5VNgfIn+O6+Oslz07xjqnrSi7s/7e4/cfeNCIGrA0/nfpdqYK1rB3xMaBEAGKR6UaGpVexLZb0ovHa1ezt1chdwevJ3oqWZdSPUuXHAe8l3+ubJ+1lACHxzLd1/BC4zs8EWrJd8nw6sKKOKWGhp346wKPOGhBYUCGNicl0QOyXp9zKzQ4vyroO/AkeZ2cEWuju2MrOtzez7yf4HgJ3N7Ohk336E8VbNXnLfcY2ZbZN37Q4j3CO8ln9s8nt1P6Gu9Ej+fl5Vyyw7E4KkuUAbM7uU8D2ZM4Pw93vzvHznEFqKTknq9raE76BKJd+FNwPXm1n/5L12NLP/Se4TUkMBjjQYM2sD/JLQDaAbIdA5ANiB0AJQmcMIrR99CDc0owl/EDchNA3fZGtmZsoNovwD4YbgQMJT4uPz0qsy3+QPy+6EG5q3qihXS2AIoRvGgCS9s5M0WhG6eYwj/BE7HPh5FWnlnJS83+6E9Q7+nLcvf9Ditsl7y++b/SrwMzP7XfLHu0Nlmbj7V4RrsMrXdGm529YMdP0oyWtrwhPp2tx0rk7+rWgswyp3f4UwsHJwwfFVmUro3lSVg4AdzexvBTdbdwG7W5gJ6XjCje23ePAC8DfCQFIj/LEoA9Z39655P+u5+5vJeY+7+/6Ez+xhYISFAfUQbv4qUtV7np3kWdn7rcn1+oJwIwmU9wnvm2yvNQ999f9I6E7UrYZl+ta1I7SUAHxZkL7qRdAs60XhtWtI7n4f4an2XwgPuD4kTJJwUPIQbgdCl8dFhO/vd4Hrk3OHAdcBdwLzCJMRXELFXd4KjTSzhcl59xOu+fbu/mmS9mLCQO+tCQ8DFhC6qA2uOLnac/cPCb8P5xIC2VmE34Meyf5JhL9Vl/5/e/ceNVddHnr8+ySAIQ0BlhIUAwYF24KArHe8g8VSrLbeULReTgURPbanLo6nPVAFCpRajoAc67EsoEDRo6UtVkTaUhQUgXIqjohtQQgQElQuAQmXJFzDc/74/cZ3ZzLvLZd33ux8P2vt9c7svWfv3555Mpln/26U2stPAOcNOtYW6CnK/+Vfo8TNA5Qar49n5sUD9j+aEh+LKTH2Lcq/+ycneb4zKZ/BPZTfO6tp3ADJzMWUhPWGeqOg9xvncMpn/Eg9xvmTONeJlCaxl0bEo8DtlN8r7coJhl2F5NKuhVLl+jjlH+py4HrgrYw2AdltwP69KtpFdZ9XNLafRl81fj3u2+vjLwAX9G3/Q2pV8ATn7ZVzdd3nbGB2Y5+ljFb1946zU2P76cAl9fHrKF9kcxvbP0KjiRp9zQnq8d7deP7bwIr6eFCV90tYu8o7KO3z/5nyn+iTlC+tXfvOcUDjGvqruA8D7uxbN1KPNbu5vrH9vcAO9fGe9TP+h8b2kynV6fNqGfen3EX+y7p9W0pTlzf0Hbf5fu9C+cI+FphL+UFxcF+cLKT0G7iBMtv3Vo1j/S3lh8oyYFZj/aD3YD7lP7D31vf9Gkqi+dy6fSdGmzb9MuXu/tx6bYfX+JlTt98DfGis62qsO4K1mxGcTvlP8WX1uC8E9qnbPkr5T3Obsa6D8gNuMSXx3obyI+w+YP6g2Bvwfh9J6efxvPp8IWVkqJvH2H+dz5CSfN9B+YH03MYxllOaqxoXW2ZcjPveubi0canfCQnsMuyybKlLu7I1zRSfznKHbkFmvjYzL6vrn2Vydw6bTSZWs24TitVMvhPleOftlXMupcnGXsAF45RrTWY+0HjebMqxEFiea4+ic9c4x+ppXlvzeBN2Wsziy5n5W5m5I6XJ2iJKG+rJWp+Orh8DlkQZ+embwL+xdqfLJ4HPUdr6P0q5S/9V4I9quR+n/NC6qJ7zuP4TZKlxOgg4pB7nfsqP2v79HqLcBd0V+GqMdiI/h/ID+oIszQfGlGXEmzOBUyg/xt5R//6g3oH9Xi0LlM/kRMrn9jClBu9dmflE3X4c8KdR5tM4Z7zz9jmOctf/65T+Kd9l9M79xZT4va++X7sPeP3plOYm36S8V79O6U/26CTPvwL4feDH9XP9Xr2+twzaeYzPMCkx/37K3c67KQnNlVnulBsXW2Bc1Pd5vPdO2uzVZo6vrU3FdqbUdF5Tv7M0BL2OTNJGEX3j9jfWH1TXbzXW/lHGdL+LUgPx07r9JEoNxG80XrOUUuvz5Yg4i/Jbf61+OVM5b2PdHwCnZhkFqf886xynWbYok/hdRekwvbpu/whwbmb2+gNdSLm7elR9nsCBmXldf1lrU5LHgTdn5rfr9hdTqq7fkKV5z6Dr/TglcZvff46IeD1lSNHmNbwHODEz9x50vM1V/bF3O7B7Zq5Xcxy1j3EhaVOIiL0oNyMWUW7CXgMcnZk/G+912nSswdHmbqJOlJMSEc+nNMX40UT7juHfKDUs/ytKR9SXUNozr5ecRKfFiPgfEfHmiNi+Pt+TMiTstescsFinkyLT09F1WtX+UMdSmg/6I1aAcSFp08nMWzLzZVn6ty7IzMNMboZrgxOc6JuErc3qj8DLJt5zzNd/IEYnfZsWMZyJHqdNTtCJcgIn1PdnJSWxuZ/SvGZ9yvEMZabg/WoZvgacuz7Hapio0+KjlOYgS+o1XEkZwvLwMcq4TifFnIaOrtMpIjqUa3gdtemTZFxI0pZlwiZqtSnPaygjYUG5C/yFzPxc3b6U2oxnoxSorxlPXXcEpW9Er3/DCuAS4JhGG+f1Pd8i+ppFbQyDrmNjq82YjqPctX8+ZdSPWymfx3cG7H8QA5prafNQR3+6FXih7XolSZIGm+wP3VN6fRWizBB9VUTckpnf3HRFW8eSzNyjlmFvyl3mhyiTJ21SdZjQ2fUu/UxyLKXG4W2Z+ePajOl1lL4b2szVpmQvoHTIfR52WpQkSZrQlJuo5YAJEXuiTobYt+6kiLiy8XzMyQ0j4hjKZGmHx+hkhLPpk2VywWtpTKQY40xWWPsVfDoi7qnnXFo7Y8Non4vb6vlOaJTz6IjoUmqOOgOuZV5EnBERS+pxb44yCdjA64iIIyLijsbr50bEX0TETyLiwYj4etT5Xer2qyPisxHxD/X4d0ZEcxKuoUz0qGmzLaWZ2yOU2bVXs55N6CRJkrYUU0pwaqIwmQkRJ3IEAyY3zMzTKEPcfjFHJyNcM6Ac+wG/BtxWn080WeEhlH4Jr6ojZL0K+Ne6bb/695fr+U5pnOrDwO9Q5m344YDrOL8e62DKnAnvAO6b7HVQ7si/ui4vAh4ELutL6g6nDFW6PWXOly/G6ORxM2WiR20CdlqUJEmauskmOMdFmR9jFXAd5cf7DRtw3tMz8+7MfJLSIbwzwf4Au9eO0Y8DN9VynFi3vYXSn+hPMvPxzFxB6Xz9gZosPAXMAfaOiDmZeX9m3jiJc56RmXdmmXV7rdloI2IB8B7gY5l5V52T5PbMvGPwodZW+898kNJf5meZuYrSUf5XgVc2dv27zPzXOqrWuZREpzcPwhmU+RYOBL4BPBQRl0bErpMpQzXReydJkiRtNiab4Ex1QsSJjDW54XjuyswdKLUph1NqPXas28adrLDOGfIp4HhgeURcUUfVmcjScbYtqn8XT+I4g+xESbqW9FZk5krKCFzNBOXexvZV9eF29XnmcCZ6lCRJkmak9emD81PKZEbvHLB5JaWPx3Ma63aZ4ikmml16TWZ+iTJk7ufr6mXA4pqENZc5vSY9mXluZh5A+dH+I8owvhOdb7xtS+vfPcfYPu51UGb6fpKSYAClTw+wgNJsb8oy8wfAeYw9xO+gMk343kmSJEmbiyknODH+hIi3UZKcoyJiVpTZ3Q+b4inuA15cm3CN52Tgt+uobuNOVhgRr6gd7Z9DSSoeA3qDITxA+eE/VqIyUGYuB74KnBURi+o594iIPSZzHbXJ2ZeAUyJil9qv5rOUYYAn1fwvnOhRkiRJWstkE5xJTYiYmY8BHwL+kDLy09HAF6dYpvOAXwJ+XptMDewHkplLKAnCqZOYrHA7Sm3Pg8DPgTcC763HeZzS5+Sier7jplDWIyn9gb5LSZouZbRZ12Su4xNAF/g+ZULHF1CGfB40IMEgTvQoSZIkNUw40ackSZIkbS6m3ERNkiRJkmYqExxJkiRJrWGCI0mSJKk1THAkSZIktYYJjiRJkqTWMMGRJEmS1BomOJIkSZJawwRHkiRJUmuY4EiSJElqDRMcSZIkSa1hgiNJkiSpNUxwJEmSJLWGCY4kSZKk1jDBkSRJktQaJjiSJEmSWsMER5IkSVJrmOBIkiRJag0THEmSJEmtYYIjSZIkqTVMcCRJkiS1hgmOJEmSpNYwwZEkSZLUGiY4kiRJklrDBEeSJElSa5jgSJIkSWoNExxJkiRJrWGCI0mSJKk1THAkSZIktYYJjiRJkqTWMMGRJEmS1BomOJIkSZJawwRHkiRJUmuY4EiSJElqDRMcSZIkSa1hgiNJkiSpNUxwJEmSJLWGCY4kSZKk1jDBkSRJktQaJjiSJEmSWsMER5IkSVJrmOBIkiRJag0THEmSJEmtYYIjSZIkqTVMcCRJkiS1hgmOJEmSpNYwwZEkSZLUGiY4kiRJklrDBEeSJElSa5jgSJIkSWoNExxJkiRJrWGCI0mSJKk1THAkSZIktYYJjiRJkqTWMMGRJEmS1BomOJIkSZJawwRHkiRJUmuY4EiSJElqDRMcSZIkSa1hgiNJkiSpNUxwJEmSJLWGCY4kSZKk1jDBkSRJktQaJjiSJEmSWsMER5IkSVJrmOBIkiRJag0THEmSJEmtYYIjSZIkqTVMcCRJkiS1hgmOJEmSpNYwwZEkSZLUGiY4kiRJklrDBEeSJElSa5jgSJIkSWqNrYZdgKHqdGYB8+oSQy7NprAKeIxud82wCyJJkiRNh8jMYZdhepRk5uXAb9Zlf2D+UMs0fVYCtwBX1OV7dLvPDLdI06jT2UKCfBp0u+25EWBcbDzGhQYxLjSIcaFBNnJctL8Gp9M5APgYcAiwYMilGZZ5wCvrcgLwCJ3OVcCFdLuXDbVkkiRJ0kbU3gSn09kaOBn4Y8ZvfrayLs9OR7Gm0SxgLrAd617/9sA7gXfS6fw18HG63VXTXD5JkiRpo2tnE7VOZxfgYuC1fVseBL5JaaZ1FXBf6/unlKZ5zwUOYrR53sK+vW4F3kW3e8v0Fk6SJEnauNqX4HQ62wDXAyONtd8CPgn8kG63bTU1U9PpBPCrwHHA+xtbfgrsS7e7YijlkiRJkjaCNg4TfQqjyc0aShO1N9Ht/mCLT24Aut2sNTX/BfgQsLpuWQicM7RySZIkSRtBu2pwOp0dgfuAbeqaT9Dtfm6IJZr5Op13AJc01ryMbvfmYRVHkiRJ2hBtq8F5O6PJzU3A54dYls1Dt/t11k5w3jOsokiSJEkbqm0JTvPH+VdskjZpX2k8fk/tpyNJkiRtdtqT4HQ6cylz3fRcPKyibIYuB3rDRP8KsOcQyyJJkiStt80qwYmIsyPiC2Ns3oXReX2W0e0uW4/jHxERd6x3ATdX3e5q4IbGmhcNqyiSJEnShtisJvrMzI+Ns3mnxuPlm7osGyoiLgcOrE+3ovQdWt3Y5c2Zee00FumBxuOdxtxLkiRJmsE2qxqc8TyTOf+Z0RHhHhtGGSJi68num5lvzsx5mTkPOAq4u/e8Lr9IbqZy3A3waOPx/Gk4nyRJkrTRzcgEJyLmRcQZEbEkIh6LiJsj4oCIuDAizmvslxFxdER0t7nxxku7q1axcs0aPrps2d79r637Xx0Rx/edK3vbB5TjvRHxo4h4NCLujYhzIuKXGtuXRsSfRMR3ImIV8K6NdP0nRcS363twP/CNiFhUy7qwsd9aTeoiYm59zV0R8VBE/EtE7DHJ0+7QePzwxrgOSZIkabrN1CZq51P61BwMLAX2AMaasOfDwKH377tvzJ89+/YPLl3Ksqee2hF4zSReO5FHgPcDPwZeDHwDOB74ZGOfjwBvowxLPacmS/84zjHvzsx9J3Hu1wP/BOxK+ZwWTOI151FqX14NrACOA/4xIvbJzKcneO3OjccPjLmXJEmSNIPNuAQnIhZQhnt+WWbeVVffXrcNeskZmXknnc6c+59++om/X7Fizn/utdc2e2+77Ry63ey9dn1k5uWNp3dExFnAB/t2+6vM/GF9/DhwHWvXhqyvuzPzs/XxU2Nc+y9ExPOA9wEvysz767qTgf8OvKqWa7BOZ/u6T8+d619sSZIkaXhmYhO1RfXv4knuvxSAbveJG1evvh7gpXPmALx7QwsSEYdExLUR8UBEPAp8hnU74C/d0POMYarH3b3+/feIeDgiHgYeAram1AKN522MTpB6I93uVM8tSZIkzQgzMcFZWv9Odi6WX0zmuePs2RcB3P7EEwAfoNPp75y/Emj2odllrINGxDbA14G/BXbLzPnAsUB/Vcqzfa87MCJWjrPcPNXrapSdZvkpzfh6esNi75mZOzSWuZl50ZhnKZN6Ht5Y8/eTLJ8kSZI048y4BCczlwNfBc6qHesjIvaYTGf5V8+bd9GhO+yw5vfvvpulTz750mczT+57bRd4e0TsFBHbAZ8e53DbAHOAFZn5eETsBfzBJMp/bd9oaP3L3hO+CYOP+yAliTkyImZHxD6U/j+97cuBv6G8by8EiIgdIuLQiJg3zqGPovR16pkRE6TWASGeHJAg7rOJzrfWABaTfM1OEXF+RPyslu3eiLg8Il6wKcoo40KDGRcaxLjQIMbFlmHGJTjVkZRO+9+lDPl8KfD8CV/V7a76P7vuetLL587l1xYvZv5NN31yl623vmHnrbbare7xv4FbKX1MbqJ04h8oM1cCvwecFhErgb+kJBDDdDjwFsrgB2dSBmNo+ghwG3B1RDwG/Aelqd66gyx0OrPpdE4Azm6sPZtud8kmKPf6OmVAgvgfwy5Uw5eB7YD963Df+wEXsf6DWmhyjAsNYlxoEONCgxgXbZeZ7VpGRmblyMi3cmQkG8uPcmTk0BwZ2X7o5Rv2MjKybY6MvClHRr7T9x7dnCMjc4devroAVwPHj7PtTOASSgJ8J6UW6jeA/6TM6XMJsF3jNUkZcOGm+prvAHvUbccAT9dlZV2eSxk0Yv++c18DnFAfPwb81jjXcARwB6Vp472UCWg/C2zd2OevgZ/UY90CvL/vGPsC/0IZ2e4h4FuNbbtRajvvrcu5zWtu42JcGBfGhXFhXBgXxoVxMdEy40ZR22Dd7rN0OocBFwDvrGv3Bb4GrKHT+X/AFcBVwD2UYF0JrBlCaTelWZT+OvMpAyMcBLyJMvz0c/r2vRZ4H93u6uks4Ab6XeCtwGHAKcD/pYwU9/q6/Trg48CfN17zUcqACj8DTqfML7RPZp5WmyA+k5lH9XaOiIspTfj+W33+Usrw4++ru1wDnB5lbqLvA/+emf1x9CLKF8WLKX2mLgceBE5tlPOPKHMPvRv4UkTclJm31Kro7wKnUeZYerp3fRExB/g2pVbxdynNKb8C/AWlBnRLZVwYF4MYF8bFIMaFcTGIcdGCuIiaqbVP6Tz/X4HPse4PehXPAn8GnEK3+8ywC9MUEVdThq5+srk+M3eo227OzN4Xw17AzcArM/P7dd1plAEXDq3PEzgqM8+vz+dS5gp6Q2ZeHxEXsu4X0AHAZcALMvOJiPgMsFdmvrVun0f5knsb8PJa1guBP677HwGcA+yYmavra44CjsnMl45x3V3ggsw8KyKOAd6dma8YsN9hwGcy8yWNdSPA9cDcAV+ErWBcGBeDGBfGxSDGhXExiHGxZcTFTO2Ds+G63aTbPZtSe3MqcOOQSzST/JiS+L2SbvfEmZbcNHw61x4Rrjm/0L2Nx6vHWLdd3/GW9h7UL4QHgIVjnTwzr6PcjTksIrai9IH6q8b2lZl5ama+BtieMkfSh4BPNQ6zvPfl0yjDQoCImBURfxoRt0XEI1GG9t6P0aHIFzH2cOm7A7tFHRK8vvYqSlX5xP3VNm/GhXExiHFhXAxiXBgXgxgXLY+L9jVR69ftLqYExKfodBYAhwC/CexPCZr5lEAdfybNzdNKShO8Ryl3IK4ArqDb/cmixZUcAAACwklEQVRQSzU8i3oP6h2WnYCf1lX9w3L3nAt8mNFmjAMHpsjMpyhV0ldS7rb0LIiIuY0voUWNc76PUkX9RuCWzHy23mHpxeJSShX5IMuAxbmeo/JpLYt6D4wLNSzqPTAu1LCo98C4UMOi3gPjYobIGdARyMWlf2HiToDHN54votxZWNhYdxJwZeN5UjoIvoTSnvTzlJqs2XX7n1PanM7qO9cOwCrgh8Cf9W07E3hFPd4sSj+nh4D/WbcfQWnX+nlgW0o72VuB4+r23wPuBnam3Gw4su5/Ut2+C2XEvGOBuZRJWw+u2+ZS7r58itEE/YXAocP+7IwL48K4MC5mwmJcGBfGxZYbF+1toqY2OCHWHaf+LRtwvPMog008QKmqfXuOtiU9jzIow89rlexsgMx8mDKSyH6sOyz3LMooJcsp7W3PAs6gjGTSs4xSDX0X8D3KiCWn1W1frOvuqPvsRRnwgXrueyhfaodQ7srcT/kyIssdm4Pra26lfFFdxdp3d9rKuDAuBjEujItBjAvjYhDjouVx0d5BBqSG2gnwwCztXqf62pOA12bmG6f4uiMod4ImnKRWw2FcaBDjQoMYFxrEuJiZ2t8HR9oAEbEzZQLVjw67LJo5jAsNYlxoEONCgxgXm5ZN1KQxRMSZwBLgsswc2PlPWx7jQoMYFxrEuNAgxsWmZxM1SZIkSa1hDY4kSZKk1jDBkSRJktQaJjiSJEmSWsMER5IkSVJrmOBIkiRJag0THEmSJEmtYYIjSZIkqTVMcCRJkiS1hgmOJEmSpNYwwZEkSZLUGiY4kiRJklrDBEeSJElSa5jgSJIkSWoNExxJkiRJrWGCI0mSJKk1THAkSZIktYYJjiRJkqTWMMGRJEmS1BomOJIkSZJawwRHkiRJUmuY4EiSJElqDRMcSZIkSa1hgiNJkiSpNUxwJEmSJLXG/we5/utlubeOoAAAAABJRU5ErkJggg==\n" }, "metadata": { "needs_background": "light" @@ -21,12 +21,7 @@ "#import sys\n", "import dnaplotlib as dpl\n", "import matplotlib.pyplot as plt\n", - "#import matplotlib.transforms as mtransforms\n", - "#import matplotlib.patches as mpatch\n", - "#from matplotlib.patches import FancyBboxPatch\n", "import numpy as np\n", - "from bokeh.models import (Plot , Range1d)\n", - "#bokeh.io.output_notebook()\n", "\n", "%matplotlib inline\n", "dnaline = 3\n", @@ -42,6 +37,10 @@ "#print(raxes)\n", "raxind = 0\n", "\n", + "\n", + "\n", + "\n", + "\n", "for part in parts:\n", " if(part in dontrender):\n", " continue\n", @@ -73,434 +72,130 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 1, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "\n", - "
\n", - " \n", - " Loading BokehJS ...\n", - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " var JS_MIME_TYPE = 'application/javascript';\n", - " var HTML_MIME_TYPE = 'text/html';\n", - " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", - " var CLASS_NAME = 'output_bokeh rendered_html';\n", - "\n", - " /**\n", - " * Render data to the DOM node\n", - " */\n", - " function render(props, node) {\n", - " var script = document.createElement(\"script\");\n", - " node.appendChild(script);\n", - " }\n", - "\n", - " /**\n", - " * Handle when an output is cleared or removed\n", - " */\n", - " function handleClearOutput(event, handle) {\n", - " var cell = handle.cell;\n", - "\n", - " var id = cell.output_area._bokeh_element_id;\n", - " var server_id = cell.output_area._bokeh_server_id;\n", - " // Clean up Bokeh references\n", - " if (id != null && id in Bokeh.index) {\n", - " Bokeh.index[id].model.document.clear();\n", - " delete Bokeh.index[id];\n", - " }\n", - "\n", - " if (server_id !== undefined) {\n", - " // Clean up Bokeh references\n", - " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", - " cell.notebook.kernel.execute(cmd, {\n", - " iopub: {\n", - " output: function(msg) {\n", - " var id = msg.content.text.trim();\n", - " if (id in Bokeh.index) {\n", - " Bokeh.index[id].model.document.clear();\n", - " delete Bokeh.index[id];\n", - " }\n", - " }\n", - " }\n", - " });\n", - " // Destroy server and session\n", - " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", - " cell.notebook.kernel.execute(cmd);\n", - " }\n", - " }\n", - "\n", - " /**\n", - " * Handle when a new output is added\n", - " */\n", - " function handleAddOutput(event, handle) {\n", - " var output_area = handle.output_area;\n", - " var output = handle.output;\n", - "\n", - " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", - " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", - " return\n", - " }\n", - "\n", - " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", - "\n", - " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", - " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", - " // store reference to embed id on output_area\n", - " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", - " }\n", - " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", - " var bk_div = document.createElement(\"div\");\n", - " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", - " var script_attrs = bk_div.children[0].attributes;\n", - " for (var i = 0; i < script_attrs.length; i++) {\n", - " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", - " }\n", - " // store reference to server id on output_area\n", - " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", - " }\n", - " }\n", - "\n", - " function register_renderer(events, OutputArea) {\n", - "\n", - " function append_mime(data, metadata, element) {\n", - " // create a DOM node to render to\n", - " var toinsert = this.create_output_subarea(\n", - " metadata,\n", - " CLASS_NAME,\n", - " EXEC_MIME_TYPE\n", - " );\n", - " this.keyboard_manager.register_events(toinsert);\n", - " // Render to node\n", - " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", - " render(props, toinsert[toinsert.length - 1]);\n", - " element.append(toinsert);\n", - " return toinsert\n", - " }\n", - "\n", - " /* Handle when an output is cleared or removed */\n", - " events.on('clear_output.CodeCell', handleClearOutput);\n", - " events.on('delete.Cell', handleClearOutput);\n", - "\n", - " /* Handle when a new output is added */\n", - " events.on('output_added.OutputArea', handleAddOutput);\n", - "\n", - " /**\n", - " * Register the mime type and append_mime function with output_area\n", - " */\n", - " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", - " /* Is output safe? */\n", - " safe: true,\n", - " /* Index of renderer in `output_area.display_order` */\n", - " index: 0\n", - " });\n", - " }\n", - "\n", - " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", - " if (root.Jupyter !== undefined) {\n", - " var events = require('base/js/events');\n", - " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", - "\n", - " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", - " register_renderer(events, OutputArea);\n", - " }\n", - " }\n", - "\n", - " \n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout = Date.now() + 5000;\n", - " root._bokeh_failed_load = false;\n", - " }\n", - "\n", - " var NB_LOAD_WARNING = {'data': {'text/html':\n", - " \"
\\n\"+\n", - " \"

\\n\"+\n", - " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", - " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", - " \"

\\n\"+\n", - " \"
    \\n\"+\n", - " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", - " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", - " \"
\\n\"+\n", - " \"\\n\"+\n", - " \"from bokeh.resources import INLINE\\n\"+\n", - " \"output_notebook(resources=INLINE)\\n\"+\n", - " \"\\n\"+\n", - " \"
\"}};\n", - "\n", - " function display_loaded() {\n", - " var el = document.getElementById(\"5563\");\n", - " if (el != null) {\n", - " el.textContent = \"BokehJS is loading...\";\n", - " }\n", - " if (root.Bokeh !== undefined) {\n", - " if (el != null) {\n", - " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", - " }\n", - " } else if (Date.now() < root._bokeh_timeout) {\n", - " setTimeout(display_loaded, 100)\n", - " }\n", - " }\n", - "\n", - "\n", - " function run_callbacks() {\n", - " try {\n", - " root._bokeh_onload_callbacks.forEach(function(callback) {\n", - " if (callback != null)\n", - " callback();\n", - " });\n", - " } finally {\n", - " delete root._bokeh_onload_callbacks\n", - " }\n", - " console.debug(\"Bokeh: all callbacks have finished\");\n", - " }\n", - "\n", - " function load_libs(css_urls, js_urls, callback) {\n", - " if (css_urls == null) css_urls = [];\n", - " if (js_urls == null) js_urls = [];\n", - "\n", - " root._bokeh_onload_callbacks.push(callback);\n", - " if (root._bokeh_is_loading > 0) {\n", - " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", - " return null;\n", - " }\n", - " if (js_urls == null || js_urls.length === 0) {\n", - " run_callbacks();\n", - " return null;\n", - " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", - "\n", - " function on_load() {\n", - " root._bokeh_is_loading--;\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", - " run_callbacks()\n", - " }\n", - " }\n", - "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", - " }\n", - "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " const element = document.createElement(\"link\");\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.rel = \"stylesheet\";\n", - " element.type = \"text/css\";\n", - " element.href = url;\n", - " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " var element = document.createElement('script');\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.async = false;\n", - " element.src = url;\n", - " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", - " document.head.appendChild(element);\n", - " }\n", - " };var element = document.getElementById(\"5563\");\n", - " if (element == null) {\n", - " console.error(\"Bokeh: ERROR: autoload.js configured with elementid '5563' but no matching script tag was found. \")\n", - " return false;\n", - " }\n", - "\n", - " function inject_raw_css(css) {\n", - " const element = document.createElement(\"style\");\n", - " element.appendChild(document.createTextNode(css));\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n", - " var css_urls = [];\n", - "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", - " Bokeh.set_log_level(\"info\");\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " \n", - " },\n", - " function(Bokeh) {} // ensure no trailing comma for IE\n", - " ];\n", - "\n", - " function run_inline_js() {\n", - " \n", - " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - " inline_js[i].call(root, root.Bokeh);\n", - " }if (force === true) {\n", - " display_loaded();\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", - " setTimeout(run_inline_js, 100);\n", - " } else if (!root._bokeh_failed_load) {\n", - " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", - " root._bokeh_failed_load = true;\n", - " } else if (force !== true) {\n", - " var cell = $(document.getElementById(\"5563\")).parents('.cell').data().cell;\n", - " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", - " }\n", - "\n", - " }\n", - "\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", - " run_inline_js();\n", - " } else {\n", - " load_libs(css_urls, js_urls, function() {\n", - " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - " run_inline_js();\n", - " });\n", - " }\n", - "}(window));" - ], - "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"5563\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };var element = document.getElementById(\"5563\");\n if (element == null) {\n console.error(\"Bokeh: ERROR: autoload.js configured with elementid '5563' but no matching script tag was found. \")\n return false;\n }\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n var css_urls = [];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"5563\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "{'xs': [[[[1, 1, 2, 2]]], [[[1, 1, 3], [1.5, 1.5, 2]]], [[[2, 2, 4, 4], [2.5, 2.5, 3], [3.5, 3, 3]], [[3.5, 3.5, 4]]]], 'ys': [[[[4, 3, 3, 4]]], [[[1, 3, 1], [1.5, 2, 1.5]]], [[[2, 4, 4, 2], [3, 3.5, 3.5], [2.5, 2.5, 3]], [[1, 1.5, 1.5]]]]}\n" + "0\nxlim are [-1, 132.0]\nylim are (-8, 27.46666666666667)\n" ] }, { + "output_type": "display_data", "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
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\n" }, "metadata": { - "application/vnd.bokehjs_exec.v0+json": { - "id": "5565" - } - }, - "output_type": "display_data" + "needs_background": "light" + } } ], "source": [ - "from bokeh.io import curdoc, show\n", - "import bokeh.io\n", - "from bokeh.models import ColumnDataSource, Grid, LinearAxis, MultiPolygons, Plot, GlyphRenderer, HoverTool\n", - "bokeh.io.output_notebook()\n", - "xs_dict = [\n", - " [ {'exterior': [1, 1, 2, 2], 'holes': [ ]} ],\n", - " [ {'exterior': [1, 1, 3], 'holes': [ [1.5, 1.5, 2] ]} ],\n", - " [ {'exterior': [2, 2, 4, 4], 'holes': [ [2.5, 2.5, 3], [3.5, 3, 3] ]},\n", - " {'exterior': [3.5, 3.5, 4], 'holes': [ ]} ]\n", - "]\n", + "import dnaplotlib as dpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from matplotlib import cm\n", + "from collections import OrderedDict\n", + "%matplotlib inline\n", + "\n", + "cmap = plt.get_cmap('Set3')\n", + "\n", + "class SimplePart:\n", + " def __init__(self,name,dpl_type,direction='forward',bound=False,added_opts=None):\n", + " self.name = name\n", + " self.dpl_type = dpl_type\n", + " self.direction=direction\n", + " self.bound = bound\n", + " self.added_opts = added_opts\n", + "\n", + "dnaline = 3\n", + "edgecolor = (1,.2,.2)\n", "\n", - "ys_dict = [\n", - " [ {'exterior': [4, 3, 3, 4], 'holes': [ ]} ],\n", - " [ {'exterior': [1, 3, 1], 'holes': [ [1.5, 2, 1.5] ]} ],\n", - " [ {'exterior': [2, 4, 4, 2], 'holes': [ [3, 3.5, 3.5], [2.5, 2.5, 3] ]},\n", - " {'exterior': [1, 1.5, 1.5], 'holes': [ ]} ]\n", - "]\n", - "ys_dict2 = [\n", - " [ {'exterior': [4, 3, 3, 4], 'holes': [ ]} ],\n", - " [ {'exterior': [1, 3, 1], 'holes': [ [1.5, 2, 1.5] ]} ],\n", - " [ {'exterior': [2, 9, 4, 2], 'holes': [ [3, 3.5, 3.5], [2.5, 2.5, 3] ]},\n", - " {'exterior': [1, 1.5, 1.5], 'holes': [ ]} ]\n", - "]\n", - "xs = [[[p['exterior'], *p['holes']] for p in mp] for mp in xs_dict]\n", - "ys = [[[p['exterior'], *p['holes']] for p in mp] for mp in ys_dict]\n", - "print(dict(xs=xs, ys=ys))\n", - "source = ColumnDataSource(dict(xs=xs, ys=ys,name=[\"ooga\",\"booga\",\"dooga\"]))\n", + "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline,linecolor=edgecolor)\n", "\n", - "plot = Plot(\n", - " title=None, plot_width=300, plot_height=300,\n", - " min_border=0, toolbar_location=None)\n", + "def plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap ='Set3',cmap2 = 'Set2',ax=None,\\\n", + " part_renderers=None,circular=False,ylift=-10,simplereg = None,regs=None,reg_renderers=None,\\\n", + " linewidth=3,edgecolor = (1,.2,.2)):\n", + " cmap_obj = plt.get_cmap(cmap).colors\n", + " cmap2_obj = plt.get_cmap(cmap2).colors\n", + " color_count = 0\n", + " design_list = []\n", + " annotate_list = []\n", + " for part in simple_design:\n", + " part_dict = {'type':part.dpl_type, 'name':'test', 'fwd':'forward'==part.direction,\\\n", + " 'opts':{'label':part.name,'label_size':label_size,'label_y_offset':label_y_offset,\\\n", + " 'color':cmap_obj[color_count],'color2':cmap2_obj[color_count]}}\n", + " if(part.added_opts is not None):\n", + " part_dict['opts'].update(part.added_opts)\n", + " color_count += 1\n", + " if(color_count >= len(cmap_obj)):\n", + " color_count = 0\n", + " design_list += [part_dict]\n", + " if(part_renderers is None):\n", + " dr = dpl.DNARenderer(scale = 5,linewidth=linewidth,linecolor=edgecolor)\n", + " part_renderers = dr.SBOL_part_renderers()\n", + " if(ax is None):\n", + " figsize = (len(design_list)*.75,1.6)\n", + " \n", + " fig = plt.figure(figsize=figsize)\n", + " \n", + " ax = fig.add_axes([0,0,1,1])\n", + " if(simplereg is not None):\n", + " regs = []\n", + " reg_labels = {}\n", + " protein_color = 0\n", + " for reg in simplereg:\n", + " from_part = design_list[reg[0]]\n", + " binding_label = reg[1]\n", + " if(binding_label in reg_labels):\n", + " fill_color = reg_labels[binding_label]\n", + " else:\n", + " fill_color = cmap2_obj[protein_color]\n", + " reg_labels[binding_label] = fill_color\n", + " protein_color += 1\n", + " if(protein_color >= len(cmap2_obj)):\n", + " protein_color = 0\n", + " arc = {'type':'Binding', 'from_part':from_part, 'to_part':from_part, 'opts':{'label':binding_label,'label_size':label_size*.7,\\\n", + " 'label_x_offset':-1,'color':'blue', 'linewidth':linewidth,'y_offset':10, 'arc_height_start':10, \\\n", + " 'arc_height_end':10,'face_color':fill_color}}\n", + " regs += [arc]\n", + " if(reg_renderers is None):\n", + " reg_renderers = dr.std_reg_renderers()\n", + " start,end = dr.renderDNA(ax,design_list,part_renderers,circular=circular,regs=regs, reg_renderers=reg_renderers)\n", + " ax.axis('off')\n", + " addedsize = 1\n", + " axis_xlim = [start-addedsize,end+addedsize]\n", + " fig = ax.get_figure()\n", + " size = fig.get_size_inches()*fig.dpi\n", + " figaspect = size[1]/size[0]\n", + " yheight = (axis_xlim[1]-axis_xlim[0])*figaspect\n", + " ylimits = (ylift,yheight+ylift)\n", + " print(f\"xlim are {axis_xlim}\")\n", + " print(f\"ylim are {ylimits}\")\n", + " ax.set_xlim(axis_xlim)\n", + " ax.set_ylim(ylimits)\n", + " return ax\n", "\n", - "glyph = MultiPolygons(xs=\"xs\", ys=\"ys\", line_width=2,fill_color=\"grey\")\n", - "selglyph = MultiPolygons(xs=\"xs\", ys=\"ys\", line_width=2,fill_color=\"blue\")\n", - "g1 = plot.add_glyph(source, glyph)\n", - "g1.hover_glyph = selglyph\n", "\n", - "hover1 = HoverTool(tooltips=[(\"name\",\"@name\")],renderers=[g1])\n", "\n", - "plot.add_tools(hover1)\n", - "#help(plot)\n", - "xaxis = LinearAxis()\n", - "#plot.add_layout(xaxis, 'below')\n", + "prom = SimplePart('ptet','Promoter')\n", + "utr = SimplePart('utr1','RBS')\n", + "cds = SimplePart('gfp','CDS')\n", + "term = SimplePart('t16','Terminator')\n", + "aB = SimplePart('attB','RecombinaseSite')\n", + "aL = SimplePart('attL','RecombinaseSite2')\n", + "pL = SimplePart('RNAP','ProteinLocation')\n", + "ori = SimplePart('','Origin',added_opts={'face_color':(0.5,0.5,.2)})\n", "\n", - "yaxis = LinearAxis()\n", - "#plot.add_layout(yaxis, 'left')\n", "\n", - "#plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))\n", - "#plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))\n", + "simple_arc = [[1,\"RNAP\"],[2,\"A\"],[2,\"B\"],[4,\"Bxb1\"],[4,\"Bxb1\"]]\n", "\n", - "show(plot)" + "a = plot_design([prom,utr,cds,term,aB,aL,pL,ori],simplereg = simple_arc,ylift=-8)\n", + "\n" ] }, { @@ -527,7 +222,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4-final" + "version": "3.7.7-final" } }, "nbformat": 4, From a5a99658e8d259e43a270a3ac50e9318ce3f47fc Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Wed, 6 Jan 2021 14:41:45 -0800 Subject: [PATCH 42/43] "simple_plot_design" and Binding as a regulation type --- dnaplotlib/dnaplotlib.py | 98 +++++++++++++++++++++++++ gallery/notebooks/interactiveplot.ipynb | 87 ++++------------------ 2 files changed, 112 insertions(+), 73 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 0cd3eda..9c8e7f5 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -3473,6 +3473,104 @@ def convert_attrib (attrib): 'terminator': 'Terminator', 'rbs': 'RBS'} +def simple_plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap ='Set3',cmap2 = 'Set2',ax=None,\ + part_renderers=None,circular=False,ylift=-12,simplereg = None,regs=None,reg_renderers=None,\ + linewidth=3,edgecolor = (1,.2,.2)): + """a simpler way to plot a construct. + simple_design: list of "SimplePart" objects, containing + name: string name that is displayed below the object + dpl_type: string representing dnaplotlib type to display it as + direction: direction "forward" or "reverse" + added_opts: dictionary of "opts" as seen in other dna plot lib objects + label + simplereg: dictionary of lists which determines how to display regulation + {: [[from_item_index,to_item_index,name], + [from_item_index,to_item_index,name], ...]} + regs: normal dictionary of regulation elements like in dnaplotlib + + other options self explanatory + """ + + cmap_obj = plt.get_cmap(cmap).colors + cmap2_obj = plt.get_cmap(cmap2).colors + color_count = 0 + design_list = [] + annotate_list = [] + for part in simple_design: + part_dict = {'type':part.dpl_type, 'name':'test', 'fwd':'forward'==part.direction,\ + 'opts':{'label':part.name,'label_size':label_size,'label_y_offset':label_y_offset,\ + 'color':cmap_obj[color_count],'color2':cmap2_obj[color_count]}} + if(part.added_opts is not None): + part_dict['opts'].update(part.added_opts) + color_count += 1 + if(color_count >= len(cmap_obj) or color_count >= len(cmap2_obj)): + color_count = 0 + design_list += [part_dict] + if(part_renderers is None): + dr = DNARenderer(scale = 5,linewidth=linewidth,linecolor=edgecolor) + part_renderers = dr.SBOL_part_renderers() + if(ax is None): + figsize = (len(design_list)*.75,1.6) + + fig = plt.figure(figsize=figsize) + + ax = fig.add_axes([0,0,1,1]) + plt.tight_layout(pad=0.01) + if(simplereg is not None): + regs = [] + + protein_color = 0 + for regtype,reg_list in simplereg.items(): + reg_labels = {} + for reg in reg_list: + from_part = design_list[reg[0]] + if(len(reg)==3): + to_part = design_list[reg[1]] + else: + to_part = from_part + binding_label = reg[-1] + if(binding_label in reg_labels): + fill_color = reg_labels[binding_label] + else: + fill_color = cmap2_obj[protein_color] + reg_labels[binding_label] = fill_color + protein_color += 1 + if(protein_color >= len(cmap2_obj)): + protein_color = 0 + arc = {'type':regtype, 'from_part':from_part, 'to_part':to_part, 'opts':{'label':binding_label,'label_size':label_size*.7,\ + 'label_x_offset':-1,'color':'blue', 'linewidth':linewidth,'y_offset':10,'face_color':fill_color}} + regs += [arc] + if(reg_renderers is None): + reg_renderers = dr.std_reg_renderers() + start,end = dr.renderDNA(ax,design_list,part_renderers,circular=circular,regs=regs, reg_renderers=reg_renderers) + + fig = ax.get_figure() + + ylimits = [0,0] + xlimits = [0,0] + for patch in ax.patches: + bbox = patch.get_window_extent() + if(bbox.y1 > ylimits[1]): + ylimits[1] = bbox.y1 + if(bbox.y0 < ylimits[0]): + ylimits[0] = bbox.y0 + + if(bbox.x1 > xlimits[1]): + xlimits[1] = bbox.x1 + if(bbox.x0 < xlimits[0]): + xlimits[0] = bbox.x0 + ylimits = [a/fig.dpi for a in ylimits] + xlimits = [a/fig.dpi for a in xlimits] + yheight = ylimits[1]-ylimits[0] + xheight = xlimits[1]-xlimits[0] + + addedsize = 1 + axis_xlim = [start-addedsize,end+addedsize] + fig.set_size_inches((axis_xlim[1]-axis_xlim[0])/yheight*1.5,1.5) + ax.axis('off') + ax.set_xlim(axis_xlim) + ax.set_ylim(ylimits) + return ax def load_design_from_gff (filename, chrom, type_map=dpl_default_type_map, region=None): # Load the GFF data diff --git a/gallery/notebooks/interactiveplot.ipynb b/gallery/notebooks/interactiveplot.ipynb index 5242881..277de2a 100644 --- a/gallery/notebooks/interactiveplot.ipynb +++ b/gallery/notebooks/interactiveplot.ipynb @@ -79,15 +79,15 @@ "output_type": "stream", "name": "stdout", "text": [ - "0\nxlim are [-1, 132.0]\nylim are (-8, 27.46666666666667)\n" + "0\n" ] }, { "output_type": "display_data", "data": { - "text/plain": "
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pPxMU5Pq9VFgawf3LruKtv0Ybk48AZ0rJRrcrrHAJITgd+BaI1JYlU08/wMxzs4gIcT1cntkiWLiiM88vT8BssQ8PVgKXS6lclSkah4AXPt0ycTUQBxAcYeasx/6g66nuO5QoymnB94+czuGd9vArEm2O2idu77wREIKLgU/RDRz6ddzPJzcvpHtsntv7/mZrP657bypF5XZ3VrnACCnZ6/bOFU4hBP2AlUArgJgWFSy6aSvDEovc3veWnEgmLu7DvqMOnnnOlpLf3d65QuEiAS18+uD918B5ACERZi5Y8BMd+h72WBnlRSF8fe9Y8rbZPd4XAH2kJMdjhfgAIeiANs8uBmBw/F6+mzqftpHFHitj7b6unPPqfRwri7Ql/QiMUwYv3kcIQtA+AAcBtG9ZwSf/2kSP9s45JHCGnMJQLnu1P5mH7R83mUB/KWmY2x+FooH4jfAt2PxnECBn9Bvpswo5uGcSkgvm/0TnoZ6fgVBWGMpnU86j6KB9Qu8y4OKm8kLXPxA+Bi4DSIg+zOp7nqBdlOffV7/sPolxr8zEKu3dYk2+e7gpIASPoVleEh5s4as7/6ZPJ8+HQMw6Esa5Lw6i4MQQQKqU3O7xggKUtIxpndAscYejjdFWAoeBNGBpSlKq575kmjD+JHxt0L7wZwNfelsAhSAG2I1upt3vym2MujPda+Vlr29P2l0OBnJXSsnHXivQgwjBRXDC28Y3t85nXK8tXivv38uuYP6K822Lx4HuytLTewhBT7RIGMEAs1L2MHV0ttfK+zi9HXcu7WVMOkUPjaRoIGkZ04YD9wGXol/HGjiK9qE/PyUptUn1OHkaf4vOMBj4HFi3YPOfFy/Y/Kd3gr5p3Iwueq3iixg+5W8vFgVxgw/R59IdxqS7vVqgZ7E7pZ488hevih7A7PM+p3d7+4s3Ci1qgMJ73IH+shza9RhTTvOe6AFcPjiPc/s4DCfc5dUCmzlpGdMmoI3NXkntogfQBrgXWJ2WMa2/L+rmr/ib8NnwqgAKQRBwm72wG/8hONz782qTJ2wmKNhezqlCMNDrhbqJEPQBxgCYgiw8eo73DfHCQyp58OyvjElThcCzweEUAAhBC2CibXnmOXsxefmtIATMPCfLmHS5EG45iwhY0jKm3QC8g0Hw2ob1YGDsBE7peDcjO95F7zaXEBkcY9ysM/BLWsa03j6urt/gr8Jnw1sCeBbQDSA0qoLuY31jOBgZU0bSGfuMSf/yScHucavtx0V9NxDfusAnhV4+YC2xLezWhF3QDZAUHudqdCvObrGlnNa90CeF9o0rZliivawQtB4YhQukZUwbgiGEVMuQOEbHP8SouBkktBxJTMRJxEb0okf0OZzZeTbJ7ScTLOxWtW2Ar9MypkXUtO/mjr8Lnw1PC+AY248e4zLtrb2inDwWXzCFZdPn8MktD7Fxqdbq+N9Vd7HyhXfsG391zzyKck6Y8K984R0+nfKIQwHvX3U3y6bP4dMpj/Dny/9nT++dstuY7Qw3j8MXjLH9mDTiV5c3vuvTVYx43nVn/OEhlVw/ZJUxqSmcq6bIGNuPa4cdJMjwRth3JIfes87nslfvJGXhVB74bH6tO3nu+7f5OP27aulpG3/m9OduIPGhs6qtu364gyGZur6ucy+6q8CWIXGM6jSDVqGda8woRBBxLZIZ2Wk6JmEPLpyE1j0acDQV4bPhKQEcYvvRcYDjHLR2vZIY/99HuPjlWaS/+znmkjKCTCZy/9lJcV51x/LWSguHtuyiZcdYjmaemPsnTEGM/+8jXPLKbPb99TeHtuwCoH2ffESQfSJwb72ryS8RgnAMLslGJe6uI3d1Ki1W/srKo2vblmzNdb2leGrSLuPikNryKdzCfl5rmq83IL4Xn059ibQ7XiXz8AH+yd5VLU9dnNJ9MD/c9RadWleLycewrscc6qFbDyucIC1jWgfgCtvyoHY3EWKKrGMLjeiwRHpGO3Se1Bp5oznT1ITPRoMFUH+47A97u5NqjpJSUVKGtFqRUhOpgdemsH5J9fGtfav/JmHEQHpdcAY7f1hZbX1QsIm23bvYW4ghERaiu9gf+CD0eVN+ygD0sYOesQdpHeGaJfS32/dzbu/O3DSsJ/+3zrUXJkBy50yHRfVi9Cz6R1dv7bekX1zt01MqLZWUVJRhsVo498XJHCo6TEb+fsa/fBulZi2S1O+71nHD2zMZ98Ik1mRuAiCmRTThIdXiLgKQGFNGy3C7e7tYIMFTxxYA3ILe2msTlkTrMOdPXULLUwk6MSQ4Ii1jWrLnq+ffNFXhs9EQAYxAd01mCrXQKt7xKzdvewZf3vEE7199N0NvuZLQFtpXVLczR3Boyy6OH3Kc3L7rhz846fzRdB4+kJz0LVSdHmIuLSNv2x7aJMbb09okOYyjJDp3qI1CV9uPPh1dt/R7f91ubhrWg/N6x7Ni18Fq56bewtscpkWo3UdqNO5FCFBUpzP6OyChTTktwqq7JNt4YDuXvXono5+7keiIlvSN68ETF01n+gdzuevDeTx3xf1E6MJmCjKxZNKzvHb9bGYte6newoOCoFcHh7mCiR44pkDB/vGe0HKUSxuGmVrSPtLBqDPgelPqjBzpDAs2/+kPEwFtArh+weY/75vRb+RPdeS1D+YGh1Uiqkh/u15JXPj8Q+Rt28OaNz+i/5Vat4AQgkHXjWeDodVXUVJKzt/b+H2B5nu65EgBBzdup9PA3kiLlWXT5yCtVvpedg5tu3exbxcc4eDEuVo4Bz/Cfq6iwlyLD1tUZua3Pbnc8Yk2TpdbVMLvGbmc3s154z0hoEVoOcUV9lMUfmKdGAtslFLmu1QxL1I5+16fPwvBs+a70wo2XN+arZoHxPfiw1tfAOCRL17k9d8+5LYzrqXcXEG32M706pBkzzuki9Yr3q1dAgUlzrk5iwx1KDcgDS0aiN2ze0Rw27ry1Uik4zZtasvXXHFb+PyII8BHwJp68tmfNClrf2e0692NiDatyVq13p6WNGY4G/63jMpSTQQyVqxm4DUX0v8qbbL1oa272Za2gk4De9vH+GrE6lCuP8cns9fNanXt/frJxgzuPbM/d43WXoZrsvJ4+68dLgkfYPTg4lAfoAcwVwhxlpTS8y5GAgP7+bQ44X86OqIluccOs3TNV5zcqTt7D2fzV8ZGRiRp8YfTs7Zw3fAUMg8fIDqypVMVsMom8yz4G3bv+Vbp+mmzOp5q1z3xN3GaelcnaIL3EJA4o9/IJ2f0G1nfp6b9JWkuCaayvPZTMOCaC1j/3gmLRCEEg64fT0GW1u2387vfSRhxYipeu97dyNmwFUtF3fdRWaHDmIfnnF16Hnvd8oqde5HZWLJuN+f2OtG9OzQhll9251Be6fxDWlFporDMoRFQVeBGAu8LIZrTB5wvsV/fw8U1xxG2dXVenHo7q/Zs4Px+o/nfmq+YlXI7L179EI+nLeRoiTZmXWExc/1bM5ny3qPMHn8nAH/sXs9Vr9/NwWP5XPX63Szb+LPD/o84lqt8djqPfcyloDzT5Y0Lyh2mcHnOOXETwW2XZcauzhn9Rja420V3WVazpUnNHAGeAxY6IXYOCMEOoCfAJa9+R/s+vr3uSy69hJLDdgusvlLiXVcoDUR3ZbUDtACzObPvRvjQvGT9/i4Me36WbTFTSuz9akKIW8Huw/M14DbpL/73XMDYPepmt6XL6E4BCkGzLF7/8Go6tq7wWfllZkHPR0+h0mr/+IyWEt9MJGzipGVMuxpYChBmas1ZCXMIEs75eCgsz+K37Kdsi2agc0pSakC5BGyKLT5XW3g1sc72I3+Hb7u3S/LDjaJXDGz3aQVcYzdwDCC/uCX7ClwfS3CH9P1djYvrasuH5gjgIe/WpvkhJRZgg21544GoOnJ7nq05LYyit1OJnkt8hha6i3JLIQeO1zfCoyGlZHfhcmPSR4EmetC0hM8TgmfD/hLN+jPO7Yq5wr7VDuVt0F8+fomUWAG75+5vt/nWvd932/sZF+sSPoA5QoiJ3qtNs8V+Xn/eHl1XPo/z83aHj876rq/CQEpSagXwum150+H3OVy6o44tNNHbVfAt2cVrjckve6eG/k1TED5PCp4Nu2nmvj/jKDpY/8RPT7Hl85411sOPsQ9yvrryTHzVmZhdGM0Xmwcbk5w5V28IIc71UpWaK/br+3F6e46X+cYlaqUFlqx2MHRqCs+Cv/FftF4ZrNLMXwcXsv3oMkorj1bLWFCeSXreW2wvWGZM/gBYVS1zAODPRgENHsOrDynZIQTLgbOlNYitX/Rk+L+8G50B4NCWGGNA2nIMfvb8mHeAeUDExpwEVmb04LRurk9Gd5XXV52BxWp/Cf8iJf84sVkw8IkQ4gwppWpBOMfPwDag9/HyYD5Ob8fEUQe9Xui3W2LIOWHkdQj4xOuFNjNSklLz0zKmnQ/8BnSwUsnOgm/YVfAd7SJOJiI4FomFwvIsCiuyqm6eDUxMSUptcuPinsAfW3zeaOHVhL2Jv+mjXhRkuWa16CrWSsHKF4Yakz6QEr+Zg1YbUnIU+J9t+Z7Pr8Ns8W6rYFd+e+avcGi4pdaVf+SIMbRvb+9CbgF8JYRIqmMThY4eDNl+fp/9oSv5x2u28PQUxeVBPJHmcHnekBLfWdU0I1KSUneiWTfbDeQkVg6V/sPeol/IKvq9JtGzAOenJKWWVV0RKPiT8FXiG8GzkQasB7BUBPPLkyOxWrxnVLdx6cnG1l4F8LTXCvM8z6C1UFl/oCtP/3R+PdkbjtUqmPLBRErN9tbAZrSB/FqJaduep+a+SVRUK1tSB+BbIUSs1yravFgM7ANtesGDn3X3amFzvk5k31G7L4KjwEKvFtjMSUlKzURzfXglWgu+PnLRrbUDFb8Rvhn9Rhb5SPAAkJJKtFAolQC5/7RjzeveCY+Xvb49axc5GIY87q9TGGpCSnYA9tn4c74fz/IdJ3ulrMe/u5jf9tijc1uAiVLWP8E2sWsP5sx+hZAQu+f5k4BlQgjfDeA2UaSkCJhiW07bFMvbKzt5pawvNsSyeJWDgdd0KfF+32ozJyUp1ZySlPpxSlLqWDQXZHl1ZI+jaYRE8xp+I3yNgZT8DfzHtvz3+31Y+3Z/jxpw5Gxox3cPnoHVbO8eXAs867kSfMbzwJ8AldZgLl90Bz/v6lXPJs4jJcxbfiHzlo83Jj8lpfPWfgP6D+PhB+YjTkw2VBPcqyCEGCmEOKlqupR8B7xpW374i+4s+auDR8v+alMMdyx1KHoZ8H+1ZHcbIcR1gXjtU5JS09F6PdqiRVc5Ce1d/19DtoCOfxjQwqfzJNoDCED64v6smDeS8iL3xjmkFbZ83oOv7zsTc4l9X9nAVXprs0mhT7u4BtgPUFwRTsob97Dwt7EuuzOrSmFpBFM+uJnHvrnMmPwN8ISr+xp9+rncftvDxqSLgIVC+HLqvV9zCrBVCPGOEKJnlXX3oH/cAMz8pCePL0ui1Ozea8JsESxYnsCtS3ob5+1tBSbpY4zeYjGwRQhxY6AJYEpSqkxJSj2akpS6JSUpdaduxPKYIcvAtIxpAXVOjAS88OndaFcB9iiaO7/rxkc3XcjelfENav0dOxDFVzPG8vuC4Vgq7PfWQWCclGR4oNqNgpTsBc5GE3DKK0O4+/PrOeuVmezMa9+Q/fHN1n4MfPYJFq85zbjqR+CKhho8XHbJBK65aooxSU1wdyQImABsMwqglBwHLsQwp+613+IZ98Ig/spoVfOe6mFzdgsuXDiQZ7/vavTLuQPtWfCFcVdP4F0CVACrUAwYvbL6Zu6KHxLIN4EdKSkTgouAN9BeCJTkR/Ldg2fQtttR+ly6kx7jMgmNrL2hZrUIstd14J/Pe5L1RzzS6vBNsRUYLyWuRXL1Q6RkuxCchjbvqh/Ab3t60efpuVxw8kamjvqZc3r9gymo9i+G4+VhLF0/gldXnsmG7C5VVy8FbpYStyzOJk+6l/z8XJb/ZJ8eNkcIcUBKudid/TYzbAJ4gxBiCTBHSrlTCMaizfE6D2B3XiSXvDKAoV2PcdMpOaT0zyc8pPbra7YIvt/SlndWdeK3XdUmxa8CLpESX3sLsQngo0KI/wDvSymbXM+Lm1zPicbOwZSkVNdCrjQjlPDp6J4eZ1kAABjJSURBVK2Lm4TgC+BVoB3AkT1t+H3+cFa+MJQ2XQuJ7XWE1glFBIdasFqCKM6PIH97W/J3tqGytFr3qBVtPO/xhrzIhRAT8NsYdK3fhvfPg3PPhqAgKYP4assgvtoyiBahZQyKz2JI573EtT5KiMlCmTmEnXkdSd/flX9y44xz9HRKjsPLH8H964EpTnRMnlrXyqCgIGbeO48jR/NIX2+fo/uGECJHSvldXdsGINUEEOQFaAYv84EogLV7W7F2bytmfNST3h1LGNi5iK5tywgNlpgtggMFYfy9P4ot2S0oq6zWmCgHHgUWNLK3omYvgGkZ0wTaO2wUEAO0p3rr7j1f1ceSnh0C9EH7UG6p16UMyALWmZLjXPHR7BGU8FVBSj4Vgl/RHv4bQbMKlJYgjuxpw5E9Tvv2XA48IiV/uVGdR9HC7/ghhcAFaAZkc4ET8+6KK8JZmXESKzOq2VDUQAmafcPDUZB3Mx4cdA8JCeXxxxZy973XsWfPdlAT3B3oPkgLYLp7wx+2JLsAgl0A+6GNg1+BHvHbbAli04EoNjnn29OKNob+gJRs8+gBuMDDVw/k5bStFBTbe8+bswBeD9xax/pCHA1dPI4lPbsdWpT4S4GBQFgdeTOBX9FcsP1hSo7z+qT6gB/jqxlxDMR2iD0E04G/cewar40cNOPHk4tB7ARxwKvV9AvWofWI9URrHDgbqX0TcDcQj/aM1mV93XCiWrTkqblvqgnuNdAuoRs3zn6NSU+9S7dBpxhX2ccAQTwBYhaQADwM7HRy93uBOUCilFzSmKIH8Mg1g9j91pU8fv1goluEGlc1xzHA+gbczXgpBJQlPftkS3r2e2hGcE8Cw6lD9HQS0e6334ENlvTsmy3p2V7VJr8JS+QvCCGS0azBqnhkjiIsbASdOp1NVFQSQoQDZsrL8zl06FcKCn6hhpf+MTRLuUUNCZkjhNiJ3uI7+6yLjBO0/ZrS0mgKCpM4VtgFc2UEVmswpiAzYWGFREdn0rp1JiEhnnMa0bdPMmedmVJnnr1Zu5h+z7UUFdkDAOwATm3sCO6+DkskhLgHWAAwcvwNnDf53/Z1WVvXs2LpK+zZUM19oxUwjgG2BZL1v1i0F1sFmtel9cA6Kb30JeMCQogK9FZq6Wc3ERqi9fYVHC/npWVbeOHzf4wtQBs70aY4NdkWYFrGtBA0Y70z68j2aEpS6hxPlWlJzw4G7gNmA6FV1xeU5HKwcA8lFYVYpZUQUxixUQl0aJVEsKlGC/pfgEmm5Lg9nqqjESV8Orq5+yPALAz94W3aRHHzzWczYcJY+vXrgslU3RBKSkl29hE+//xPUlO/YsuWfVWzfAtcL6V0qS/bKHzvLvqezvGJLh2TwpFNm9dy378nYjbbX3Z/Ao0awd2fhM+GswLo7bq6S23CZ6O5CyBAWsa0FoBISUo9npYx7UE0v7sAu1OSUj0yjGJJz+4KfAQMM6bvP7qd9Mxv2HVoLSUVx2rcNkgE06l1dwZ1OZt+nccQYnJoHJYA003JcW95op5GlPABQoggNH+Fdm8GERGhzJlzI1OnnkdkZHjtG1dBSsny5Ru4/fZX2bnToQW4GRgnpXTaS4USPs/z62/fMXvOdAz3/ZfA5Y31cvNH4bPR1AWwPuGzEQgCCJCWMS0CTUxshKYkpdbrFakuLOnZvdDsGTrb0g4c3cG3m14lp9A1Z/ZhwS04pceljOp+OUFBDtfqIVNy3JPu1LMqAT/Gp7f0XsQgeqed1oeNG19ixoxLXBI9fX+MGzeYDRte5J57Ljau6gf8IITwbTRXhQO1THB/SU1wr06XkwczYfbrdY4B1jIRvkkRHRXGo9cOrm8McJ8Q4lUhRH3jVf6MR41GLOnZiWhzbjsDWKxmftr6DotX3u+y6AGUVxazYtsSFv0+k0PH9hpXzbOkZ8/wRJ1tBLzwAZOBO2wLN9wwhp9+mkuPHu4FqI2MDGfBgsksWXIvJpP9NPcD3lMv2calhgnuU4EHG6k6fo8SQAA6on0cFzUlAUzLmBaaljHN9vV+h2HVHndae5b07FDgczTrNCoqS3n/r9n8sesTpHTGELB2cgp3sej3mWTkOYSKm29Jzx7n1o4NBLTwCSG6oJkiAnD11aezePHdhIR4zrDr+uvHsHjx3cakC4CbPFaAokFMnnQvZ4+9yJg0V0VwrxslgIDWderXApiWMS04LWPat2kZ06xo8ydL0zKmSRx9BL/jZjEPo01ToNJSwQer55CZv9HNXZ7AbCnjgzX/IeuwQxjONy3p2R6x8AtY4dNbXW+gTajkpJPiWbTorhqNV9zlhhvOZPp0B+fLLwgh4j1ekMJpbBPckwc7vMBVBHcnCEQBPHNAtWgV/iyAt6NNrK2tZykfN0JBWdKzB2NwAfjT1nfZe3hTQ3dXK5WWCj5Z+7TRMKYLHnLwH7DCB4wBzgFtXG7RoruIiPDevTtv3gS6d7c/PK2B+71WmMIpQkJCmf3Yy3Tv1tuWZJvgPqQRq9VkCCQBHNO/1jBN/iiAhfWsDwZcM15wZLa+D7IO/8PqjGX1ZG84xRUFfLvpNWPSFEt6djd39xvIwjfN9mPy5HMYNco78eVstGgRzksvOThTmCiEaOHVQhX10qJFFE/OfUNNcHeDQBFAG3fcEMPsOzsQ3cqhd8ifBPBdYBGwC21uZVWigTsbsmPdoMU+afbrjal42GamGluyf2NP3gbbosADsQQDUviEEHFornQAqnZDeo1zz03mpJPsPZytgOt8UrCiTmJjOvD0vDdp2dLuFlVFcG8AgSKA0S1NPHZHRzJ+PNkvBTAlKdWakpQ6KSUptWdKUmpMSlKqSElKFWiGfDYmNHD3t6J3oe4+lE7+8Wpzlr3C6j1fGhdvsaRnu9NiDUzhQxM9E8Do0X3p16+rTwoNCgrittvONyZd7ZOCFfXStYuK4O4pAkYAW/m3ANbAu5xonsWlZUxrSJ2usv1Yl/mNRyrlDLsPpVNQkmtbjAHGurO/QBW+obYfF1880qcFX3zxCONispra4D/07zdURXD3IEoAAf8SwAgcDV5cipJhSc9uA3QHbc7e7jzf+XmXWNmZu8aY5NY4fKAKn/2kDR3q2+AHiYkdaNu2pW2xDaDGkvwINcHd8ygBBPxDAGcZfm9OSUp11RON/b2ZeywTi9W3jmxyChwmxQ+tLZ8zBNyXrBDCFhsKgKAgwd9/+zYoenCwwwMxEPCKI1ZFw7jskgnk5+ey9MM3bElTgX2c8HOoaAA2AazBFVqNAXEbraJuYhPA6RPa8d9383j+nXwKjtkbVzYBnCSEeBu4S0rplYCwaRnTOqF9WCehhZW6xLB6UQN2OcD242Ch719ZVbzBDHRnX84J39ChtZvtLF7oXD4/oWDQIKI32C2EOP30BxqxNrA4MfFThtb88dIjLIxd5QEbJLlRqSGC+9zFiYlzJ8Z62N5l/Bknfvvg+VnQuTMz9u/3djF1Up8ABsGEm2JieKRTJ3qGN9yGIUQIzG76InYHZwQwRIh/TW3XjhcSEggP8lwHnNUkOPmCDmyd0KXauti/Cxn2zI75VAydX8OmtSLGX4scfy0Ax8t8HjuW42VHTywUF3Wt83lZu7bOHpqA6+ostbrnTsfT+Ft9FBpBQUFcfdVkh7Rnc3OxNOKLtLnR5eTBXHT743Tu5fjxbgXePXKEW/fuJb+ySfuFBjQBfGhqB56Y3oGqHeZmKXktP58Z+zxnHWmONPHbM31rFL126QUMe3oHpooG3McG5x5WN92SNQSrNAxJuuloJOC6Oq1SMiAiorGrYSfKg195Cs+RfziXhx+bal9uHxzMsh49MKmhPo9QcCib3z5+g/U/fo61iridFhXF7E6dOLNlS5r60GplpeT9tKP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\n" }, "metadata": { "needs_background": "light" @@ -104,6 +104,12 @@ "\n", "cmap = plt.get_cmap('Set3')\n", "\n", + "dnaline = 3\n", + "edgecolor = (1,.2,.2)\n", + "\n", + "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline,linecolor=edgecolor)\n", + "\n", + "\n", "class SimplePart:\n", " def __init__(self,name,dpl_type,direction='forward',bound=False,added_opts=None):\n", " self.name = name\n", @@ -112,73 +118,9 @@ " self.bound = bound\n", " self.added_opts = added_opts\n", "\n", - "dnaline = 3\n", - "edgecolor = (1,.2,.2)\n", "\n", - "dr = dpl.DNARenderer(scale = 5,linewidth=dnaline,linecolor=edgecolor)\n", "\n", - "def plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap ='Set3',cmap2 = 'Set2',ax=None,\\\n", - " part_renderers=None,circular=False,ylift=-10,simplereg = None,regs=None,reg_renderers=None,\\\n", - " linewidth=3,edgecolor = (1,.2,.2)):\n", - " cmap_obj = plt.get_cmap(cmap).colors\n", - " cmap2_obj = plt.get_cmap(cmap2).colors\n", - " color_count = 0\n", - " design_list = []\n", - " annotate_list = []\n", - " for part in simple_design:\n", - " part_dict = {'type':part.dpl_type, 'name':'test', 'fwd':'forward'==part.direction,\\\n", - " 'opts':{'label':part.name,'label_size':label_size,'label_y_offset':label_y_offset,\\\n", - " 'color':cmap_obj[color_count],'color2':cmap2_obj[color_count]}}\n", - " if(part.added_opts is not None):\n", - " part_dict['opts'].update(part.added_opts)\n", - " color_count += 1\n", - " if(color_count >= len(cmap_obj)):\n", - " color_count = 0\n", - " design_list += [part_dict]\n", - " if(part_renderers is None):\n", - " dr = dpl.DNARenderer(scale = 5,linewidth=linewidth,linecolor=edgecolor)\n", - " part_renderers = dr.SBOL_part_renderers()\n", - " if(ax is None):\n", - " figsize = (len(design_list)*.75,1.6)\n", - " \n", - " fig = plt.figure(figsize=figsize)\n", - " \n", - " ax = fig.add_axes([0,0,1,1])\n", - " if(simplereg is not None):\n", - " regs = []\n", - " reg_labels = {}\n", - " protein_color = 0\n", - " for reg in simplereg:\n", - " from_part = design_list[reg[0]]\n", - " binding_label = reg[1]\n", - " if(binding_label in reg_labels):\n", - " fill_color = reg_labels[binding_label]\n", - " else:\n", - " fill_color = cmap2_obj[protein_color]\n", - " reg_labels[binding_label] = fill_color\n", - " protein_color += 1\n", - " if(protein_color >= len(cmap2_obj)):\n", - " protein_color = 0\n", - " arc = {'type':'Binding', 'from_part':from_part, 'to_part':from_part, 'opts':{'label':binding_label,'label_size':label_size*.7,\\\n", - " 'label_x_offset':-1,'color':'blue', 'linewidth':linewidth,'y_offset':10, 'arc_height_start':10, \\\n", - " 'arc_height_end':10,'face_color':fill_color}}\n", - " regs += [arc]\n", - " if(reg_renderers is None):\n", - " reg_renderers = dr.std_reg_renderers()\n", - " start,end = dr.renderDNA(ax,design_list,part_renderers,circular=circular,regs=regs, reg_renderers=reg_renderers)\n", - " ax.axis('off')\n", - " addedsize = 1\n", - " axis_xlim = [start-addedsize,end+addedsize]\n", - " fig = ax.get_figure()\n", - " size = fig.get_size_inches()*fig.dpi\n", - " figaspect = size[1]/size[0]\n", - " yheight = (axis_xlim[1]-axis_xlim[0])*figaspect\n", - " ylimits = (ylift,yheight+ylift)\n", - " print(f\"xlim are {axis_xlim}\")\n", - " print(f\"ylim are {ylimits}\")\n", - " ax.set_xlim(axis_xlim)\n", - " ax.set_ylim(ylimits)\n", - " return ax\n", + "\n", "\n", "\n", "\n", @@ -187,14 +129,13 @@ "cds = SimplePart('gfp','CDS')\n", "term = SimplePart('t16','Terminator')\n", "aB = SimplePart('attB','RecombinaseSite')\n", - "aL = SimplePart('attL','RecombinaseSite2')\n", - "pL = SimplePart('RNAP','ProteinLocation')\n", + "aL = SimplePart('attL','RecombinaseSite2',direction=\"reverse\")\n", "ori = SimplePart('','Origin',added_opts={'face_color':(0.5,0.5,.2)})\n", "\n", "\n", - "simple_arc = [[1,\"RNAP\"],[2,\"A\"],[2,\"B\"],[4,\"Bxb1\"],[4,\"Bxb1\"]]\n", + "simple_arc = {'Binding':[[1,\"RNAP\"],[2,\"A\"],[2,\"B\"],[7,\"Bxb1\"],[5,\"Bxb1\"]]}\n", "\n", - "a = plot_design([prom,utr,cds,term,aB,aL,pL,ori],simplereg = simple_arc,ylift=-8)\n", + "a = simple_plot_design([aL,prom,utr,cds,term,cds,cds,cds,cds,cds,cds,cds],simplereg = {},circular=True)\n", "\n" ] }, From a0800ebfe7feff2bb0f4260bed1dd3b2b02aeadd Mon Sep 17 00:00:00 2001 From: Andrey Shur Date: Thu, 17 Jun 2021 14:10:35 -0700 Subject: [PATCH 43/43] remove print statement and default dna renderer --- dnaplotlib/dnaplotlib.py | 6611 ++++++++++++----------- gallery/notebooks/interactiveplot.ipynb | 4 +- 2 files changed, 3308 insertions(+), 3307 deletions(-) diff --git a/dnaplotlib/dnaplotlib.py b/dnaplotlib/dnaplotlib.py index 9c8e7f5..ec2edd1 100755 --- a/dnaplotlib/dnaplotlib.py +++ b/dnaplotlib/dnaplotlib.py @@ -2,46 +2,46 @@ """ DNAplotlib ========== - This module is designed to allow for highly customisable visualisation of DNA - fragments. Diagrams can be in the form of conceptual SBOL compliant icons or - make use of icons whose width is scaled to allow for easier comparison of part - locations to trace information, such as for corresponding RNA-seq read depth - data. All plotting is performed using matplotlib and to an axis object. This - enables the export of publication quality, vector-based figures. Furthermore, - all standard renderers can be replaced with user defined versions to allow - for full customisation of the plot. - - To make use of this module it is necessary to create the rendering object - after importing the module: - - > import dnaplotlib as dpl - > dr = dpl.DNARenderer() - - This object performs all rendering using the renderDNA() method. To describe - what should be plotted, dnaplotlib requires the DNA design in a specific - format. For standard SBOL diagrams a design is a list of dictionaries where - each dictionary relates to a specific part and as a minimum contains the - keys: - - - name: A name that can be potentially used in regulation. - - type: The type of part (decides which renderer to use). - - fwd: Boolean defining if the part is in a forward orientation. - - start: Start position (optional) - - end: End position (optional) - - Once this list is defined and an axis object is created the design can be - draw using standard renders and to a user created matplotlib axes by running: - - > reg_renderers = dr.std_reg_renderers() - > part_renderers = dr.SBOL_part_renderers() - > regs = None - > design = ... Design is created here ... - > ax = ... matplotlib axes created here ... - > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) - - The function returns the start and end point of the design which can then - be used for resizing the axes and figure. For more advanced use cases we - advise looking at the gallery distributed with this module. + This module is designed to allow for highly customisable visualisation of DNA + fragments. Diagrams can be in the form of conceptual SBOL compliant icons or + make use of icons whose width is scaled to allow for easier comparison of part + locations to trace information, such as for corresponding RNA-seq read depth + data. All plotting is performed using matplotlib and to an axis object. This + enables the export of publication quality, vector-based figures. Furthermore, + all standard renderers can be replaced with user defined versions to allow + for full customisation of the plot. + + To make use of this module it is necessary to create the rendering object + after importing the module: + + > import dnaplotlib as dpl + > dr = dpl.DNARenderer() + + This object performs all rendering using the renderDNA() method. To describe + what should be plotted, dnaplotlib requires the DNA design in a specific + format. For standard SBOL diagrams a design is a list of dictionaries where + each dictionary relates to a specific part and as a minimum contains the + keys: + + - name: A name that can be potentially used in regulation. + - type: The type of part (decides which renderer to use). + - fwd: Boolean defining if the part is in a forward orientation. + - start: Start position (optional) + - end: End position (optional) + + Once this list is defined and an axis object is created the design can be + draw using standard renders and to a user created matplotlib axes by running: + + > reg_renderers = dr.std_reg_renderers() + > part_renderers = dr.SBOL_part_renderers() + > regs = None + > design = ... Design is created here ... + > ax = ... matplotlib axes created here ... + > start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) + + The function returns the start and end point of the design which can then + be used for resizing the axes and figure. For more advanced use cases we + advise looking at the gallery distributed with this module. """ @@ -61,8 +61,8 @@ __author__ = 'Thomas E. Gorochowski \n\ - Bryan Der \n\ - Emerson Glassey ' + Bryan Der \n\ + Emerson Glassey ' __license__ = 'MIT' __version__ = '1.0' @@ -73,296 +73,295 @@ def write_label (ax, label_text, x_pos, opts=None): - """ Renders labels on parts. - """ - zorder_add = 0.0 - y_offset = 0.0 - label_style = 'normal' - label_size = 7 - label_y_offset = 0 - label_x_offset = 0 - label_color = (0,0,0) - label_rotation = 0 - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'label_style' in list(opts.keys()): - label_style = opts['label_style'] - if 'label_size' in list(opts.keys()): - label_size = opts['label_size'] - if 'label_y_offset' in list(opts.keys()): - label_y_offset = opts['label_y_offset'] - if 'label_x_offset' in list(opts.keys()): - label_x_offset = opts['label_x_offset'] - if 'label_color' in list(opts.keys()): - label_color = opts['label_color'] - if 'label_rotation' in list(opts.keys()): - label_rotation = opts['label_rotation'] - ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', - verticalalignment='center', fontsize=label_size, fontstyle=label_style, - color=label_color, rotation=label_rotation, zorder=30+zorder_add) + """ Renders labels on parts. + """ + zorder_add = 0.0 + y_offset = 0.0 + label_style = 'normal' + label_size = 7 + label_y_offset = 0 + label_x_offset = 0 + label_color = (0,0,0) + label_rotation = 0 + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'label_style' in list(opts.keys()): + label_style = opts['label_style'] + if 'label_size' in list(opts.keys()): + label_size = opts['label_size'] + if 'label_y_offset' in list(opts.keys()): + label_y_offset = opts['label_y_offset'] + if 'label_x_offset' in list(opts.keys()): + label_x_offset = opts['label_x_offset'] + if 'label_color' in list(opts.keys()): + label_color = opts['label_color'] + if 'label_rotation' in list(opts.keys()): + label_rotation = opts['label_rotation'] + ax.text(x_pos+label_x_offset, label_y_offset+y_offset, label_text, horizontalalignment='center', + verticalalignment='center', fontsize=label_size, fontstyle=label_style, + color=label_color, rotation=label_rotation, zorder=30+zorder_add) def sbol_promoter (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL promoter renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,0.0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10 - x_extent = 10 - arrowhead_height = 2 - arrowhead_length = 4 - y_offset = 0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - print(y_offset) - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the promoter symbol - l1 = Line2D([start,start],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=9+zorder_add) - l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=10+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent+(arrowhead_height)+y_offset), - (start+dir_fac*x_extent, - dir_fac*y_extent+y_offset), - (start+dir_fac*x_extent-dir_fac*arrowhead_length, - dir_fac*y_extent+y_offset-(arrowhead_height))], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL promoter renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,0.0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10 + x_extent = 10 + arrowhead_height = 2 + arrowhead_length = 4 + y_offset = 0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the promoter symbol + l1 = Line2D([start,start],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=9+zorder_add) + l2 = Line2D([start,start+dir_fac*x_extent-dir_fac*(arrowhead_length*0.5)], + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=10+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(start+dir_fac*x_extent-dir_fac*arrowhead_length, + dir_fac*y_extent+(arrowhead_height)+y_offset), + (start+dir_fac*x_extent, + dir_fac*y_extent+y_offset), + (start+dir_fac*x_extent-dir_fac*arrowhead_length, + dir_fac*y_extent+y_offset-(arrowhead_height))], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=1+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_cds (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL coding sequence renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - start_pad = 1.0 - end_pad = 1.0 - y_extent = 5 - x_extent = 30 - arrowhead_height = 4 - arrowhead_length = 8 - edgecolor = (0,0,0) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the CDS symbol - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end-dir_fac*arrowhead_length, -y_extent), - (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), - (end, 0), - (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), - (end-dir_fac*arrowhead_length, y_extent)], - edgecolor=edgecolor, facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL coding sequence renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + start_pad = 1.0 + end_pad = 1.0 + y_extent = 5 + x_extent = 30 + arrowhead_height = 4 + arrowhead_length = 8 + edgecolor = (0,0,0) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the CDS symbol + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end-dir_fac*arrowhead_length, -y_extent), + (end-dir_fac*arrowhead_length, -y_extent-arrowhead_height), + (end, 0), + (end-dir_fac*arrowhead_length, y_extent+arrowhead_height), + (end-dir_fac*arrowhead_length, y_extent)], + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0 + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_terminator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL terminator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10.0 - x_extent = 8.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the terminator symbol - l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, - color=color, zorder=8+zorder_add) - l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], - linewidth=linewidth, color=color, zorder=9+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10.0 + x_extent = 8.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the terminator symbol + l1 = Line2D([start+dir_fac*(x_extent/2.0),start+dir_fac*(x_extent/2.0)],[0,dir_fac*y_extent], linewidth=linewidth, + color=color, zorder=8+zorder_add) + l2 = Line2D([start,start+(dir_fac*x_extent)],[dir_fac*y_extent,dir_fac*y_extent], + linewidth=linewidth, color=color, zorder=9+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_aptamer (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL terminator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 0 - end_pad = 0 - y_extent = 12.0 - x_extent = 12.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad - end = start+x_extent - final_end = end+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Draw the aptamer symbol - aptavertex = np.array([[ 0.43387125, -0.01575775], + """ Built-in SBOL terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 0 + end_pad = 0 + y_extent = 12.0 + x_extent = 12.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad + end = start+x_extent + final_end = end+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Draw the aptamer symbol + aptavertex = np.array([[ 0.43387125, -0.01575775], [ 0.43387125, 0.27341225], [ 0.51520025, 0.29435275], [ 0.57536225, 0.3680035 ], @@ -397,1978 +396,1978 @@ def sbol_aptamer (ax, type, num, start, end, prev_end, scale, linewidth, opts): [ 0.25817825, 0.294353 ], [ 0.33950725, 0.2734125 ], [ 0.33950725, -0.0157575 ]]) - aptacodes = [1, 2, 4, 4, 4, 4,\ - 4, 4, 2, 4, 4, 4,\ - 4, 4, 4, 4, 4, 4,\ - 4, 4, 4, 4, 4, 4,\ - 2, 4, 4, 4, 4, 4,\ - 4, 4, 4, 4, 2] - aptavertexFlip = np.dot(aptavertex,np.array([[-1,0],[0,-1]]))+(1,0) - aptavertexScaled = aptavertex*(x_extent,y_extent)+(start,0) - aptavertexFlipScaled = aptavertexFlip*(x_extent,y_extent)+(start,0) - #aptapath = Path(aptavertex,aptacodes) - #aptapathFlip = Path(aptavertexFlip,aptacodes) - - if(dir_fac==-1): - aptapath = Path(aptavertexFlipScaled,aptacodes) - else: - aptapath = Path(aptavertexScaled,aptacodes) - aptapatch = PathPatch(aptapath, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=8+zorder_add, linestyle='-') - - ax.add_patch(aptapatch) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + aptacodes = [1, 2, 4, 4, 4, 4,\ + 4, 4, 2, 4, 4, 4,\ + 4, 4, 4, 4, 4, 4,\ + 4, 4, 4, 4, 4, 4,\ + 2, 4, 4, 4, 4, 4,\ + 4, 4, 4, 4, 2] + aptavertexFlip = np.dot(aptavertex,np.array([[-1,0],[0,-1]]))+(1,0) + aptavertexScaled = aptavertex*(x_extent,y_extent)+(start,0) + aptavertexFlipScaled = aptavertexFlip*(x_extent,y_extent)+(start,0) + #aptapath = Path(aptavertex,aptacodes) + #aptapathFlip = Path(aptavertexFlip,aptacodes) + + if(dir_fac==-1): + aptapath = Path(aptavertexFlipScaled,aptacodes) + else: + aptapath = Path(aptavertexScaled,aptacodes) + aptapatch = PathPatch(aptapath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add, linestyle='-') + + ax.add_patch(aptapatch) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_rbs (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL ribosome binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 10.0 - edgecolor = (0,0,0) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - rbs_center = (0,0) - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - rbs_center = (end+((start-end)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, - facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) - ax.add_patch(w1) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),0) - w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, - facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) - ax.add_patch(w1) - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL ribosome binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + edgecolor = (0,0,0) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + rbs_center = (0,0) + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + rbs_center = (end+((start-end)/2.0),0) + w1 = Wedge(rbs_center, x_extent/2.0, 180, 360, linewidth=linewidth, + facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) + ax.add_patch(w1) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),0) + w1 = Wedge(rbs_center, x_extent/2.0, 0, 180, linewidth=linewidth, + facecolor=color, edgecolor=edgecolor, zorder=8+zorder_add) + ax.add_patch(w1) + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_ribozyme (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL ribozyme renderer. - """ - return stick_figure(ax,type,num,start,end,prev_end,scale,linewidth,opts) + """ Built-in SBOL ribozyme renderer. + """ + return stick_figure(ax,type,num,start,end,prev_end,scale,linewidth,opts) def stick_figure (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ General function for drawing stick based parts (e.g., ribozyme and protease sites). - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 5.0 - y_extent = 10.0 - linestyle = '-' - linetype = "" - shapetype = "" - if(type == "Ribozyme"): - linetype = 'dash' - headgroup = 'O' - elif(type == "Protease"): - linetype = 'dash' - headgroup = 'X' - elif(type == "ProteinStability"): - linetype = 'solid' - headgroup = 'O' - elif(type == "Ribonuclease"): - linetype = 'solid' - headgroup = 'X' - - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - rbs_center = (end+((start-end)/2.0),-y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - - if(headgroup == "O" and linetype == "dash"): - ax.add_patch(c1) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "X" and linetype == "dash"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "O" and linetype == "solid"): - ax.add_patch(c1) - ax.add_line(solidO) - elif(headgroup == "X" and linetype == "solid"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(solidX) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),y_extent) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=8+zorder_add) - x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - - if(headgroup == 'O' and linetype == 'dash'): - ax.add_patch(c1) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "X" and linetype == "dash"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(dash1) - ax.add_line(dash2) - elif(headgroup == "O" and linetype == "solid"): - ax.add_patch(c1) - ax.add_line(solidO) - elif(headgroup == "X" and linetype == "solid"): - ax.add_line(x1) - ax.add_line(x2) - ax.add_line(solidX) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ General function for drawing stick based parts (e.g., ribozyme and protease sites). + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 5.0 + y_extent = 10.0 + linestyle = '-' + linetype = "" + shapetype = "" + if(type == "Ribozyme"): + linetype = 'dash' + headgroup = 'O' + elif(type == "Protease"): + linetype = 'dash' + headgroup = 'X' + elif(type == "ProteinStability"): + linetype = 'solid' + headgroup = 'O' + elif(type == "Ribonuclease"): + linetype = 'solid' + headgroup = 'X' + + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + rbs_center = (end+((start-end)/2.0),-y_extent) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add) + x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.5], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[-y_extent/1.5,-y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent/4], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[-y_extent/2,-y_extent+(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent+(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,-y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + + if(headgroup == "O" and linetype == "dash"): + ax.add_patch(c1) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "X" and linetype == "dash"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "O" and linetype == "solid"): + ax.add_patch(c1) + ax.add_line(solidO) + elif(headgroup == "X" and linetype == "solid"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(solidX) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),y_extent) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=8+zorder_add) + x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.5], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[y_extent/1.5,y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + dash1 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent/4], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + dash2 = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[y_extent/2,y_extent-(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidO = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent-(x_extent/2.0)], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + solidX = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + + if(headgroup == 'O' and linetype == 'dash'): + ax.add_patch(c1) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "X" and linetype == "dash"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(dash1) + ax.add_line(dash2) + elif(headgroup == "O" and linetype == "solid"): + ax.add_patch(c1) + ax.add_line(solidO) + elif(headgroup == "X" and linetype == "solid"): + ax.add_line(x1) + ax.add_line(x2) + ax.add_line(solidX) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_stem_top (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ General function for drawing stem-top parts (e.g., ribozyme and protease sites). - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 5.0 - y_extent = 10.0 - linestyle = '-' - shapetype = ""; - if type in ["DNACleavageSite"]: - stemtype = 'straight' - toptype = 'X' - elif type in ["RNACleavageSite", "Ribonuclease"]: - stemtype = 'wavy' - toptype = 'X' - elif type in ["ProteinCleavageSite", "Protease"]: - stemtype = 'loopy' - toptype = 'X' - elif type in ["DNALocation"]: - stemtype = 'straight' - toptype = 'O' - elif type in ["RNALocation"]: - stemtype = 'wavy' - toptype = 'O' - elif type in ["ProteinLocation"]: - stemtype = 'loopy' - toptype = 'O' - elif type in ["DNAStability"]: - stemtype = 'straight' - toptype = 'P' - elif type in ["RNAStability"]: - stemtype = 'wavy' - toptype = 'P' - elif type in ["ProteinStability"]: - stemtype = 'loopy' - toptype = 'P' - elif type in ["StemTop"]: - stemtype = opts['stem'] - toptype = opts['top'] - - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - if start > end: - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - # Patches and lines for top glyph - # toptype=="X" - x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[-y_extent/1.25,-y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - # toptype=="O" - center = (end+((start-end)/2.0),-y_extent) - c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - # toptype=='P' - pentagon_xy = [[end, -y_extent*1.25], - [end, -y_extent*0.87], - [(start + end)/2, -y_extent*0.68], - [start, -y_extent*0.87], - [start, -y_extent*1.25], - ] - p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - - # Lines for stem glyph - # stemtype=='straight' - straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0, -y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='wavy' - wave_height = y_extent/6 - wave_start = (start + end)/2 - wave_bezier_amp = x_extent*0.2 - wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) - wavy_stem_path = Path(vertices=[[wave_start, 0], - [wave_start - wave_bezier_dx, -wave_bezier_dy], - [wave_start - wave_bezier_dx, -(wave_height - wave_bezier_dy)], - [wave_start, -wave_height], - [wave_start + wave_bezier_dx, -(wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(2*wave_height - wave_bezier_dy)], - [wave_start, -2*wave_height], - [wave_start - wave_bezier_dx, -(2*wave_height + wave_bezier_dy)], - [wave_start - wave_bezier_dx, -(3*wave_height - wave_bezier_dy)], - [wave_start, -3*wave_height], - [wave_start + wave_bezier_dx, -(3*wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(4*wave_height - wave_bezier_dy)], - [wave_start, -4*wave_height], - [wave_start - wave_bezier_dx, -(4*wave_height + wave_bezier_dy)], - [wave_start - wave_bezier_dx, -(5*wave_height - wave_bezier_dy)], - [wave_start, -5*wave_height], - [wave_start + wave_bezier_dx, -(5*wave_height + wave_bezier_dy)], - [wave_start + wave_bezier_dx, -(6*wave_height - wave_bezier_dy)], - [wave_start, -6*wave_height]], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='loopy' - loop_offset_y = y_extent*0.015 - loop_height = (y_extent - 2*loop_offset_y)/4 - loop_start = (start + end)/2 + x_extent*0.05 - loop_end = end + x_extent*0.15 - loop_bezier_amp = y_extent*0.03 - loop_stem_path = Path(vertices=[[loop_start, -loop_offset_y], - [loop_start, -(loop_offset_y - loop_bezier_amp)], - [loop_end, -(loop_offset_y - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*0.5)], - [loop_end, -(loop_offset_y + loop_height + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height)], - [loop_start, -(loop_offset_y + loop_height - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*1.5)], - [loop_end, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*2)], - [loop_start, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*2.5)], - [loop_end, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*3)], - [loop_start, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], - [loop_end, -(loop_offset_y + loop_height*3.5)], - [loop_end, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], - [loop_start, -(loop_offset_y + loop_height*4)], - ], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - # Patches and lines for top glyph - # toptype=="X" - x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - x2 = Line2D([start,end],[y_extent/1.25,y_extent*1.25], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') - - # toptype=="O" - center = (start+((end-start)/2.0),y_extent) - c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - # toptype=='P' - pentagon_xy = [[start, y_extent*1.25], - [start, y_extent*0.87], - [(start + end)/2, y_extent*0.68], - [end, y_extent*0.87], - [end, y_extent*1.25], - ] - p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - - # Lines for stem glyph - # stemtype=='straight' - straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], - linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='wavy' - wave_height = y_extent/6 - wave_start = (start + end)/2 - wave_bezier_amp = x_extent*0.2 - wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) - wavy_stem_path = Path(vertices=[[wave_start, 0], - [wave_start + wave_bezier_dx, wave_bezier_dy], - [wave_start + wave_bezier_dx, wave_height - wave_bezier_dy], - [wave_start, wave_height], - [wave_start - wave_bezier_dx, wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 2*wave_height - wave_bezier_dy], - [wave_start, 2*wave_height], - [wave_start + wave_bezier_dx, 2*wave_height + wave_bezier_dy], - [wave_start + wave_bezier_dx, 3*wave_height - wave_bezier_dy], - [wave_start, 3*wave_height], - [wave_start - wave_bezier_dx, 3*wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 4*wave_height - wave_bezier_dy], - [wave_start, 4*wave_height], - [wave_start + wave_bezier_dx, 4*wave_height + wave_bezier_dy], - [wave_start + wave_bezier_dx, 5*wave_height - wave_bezier_dy], - [wave_start, 5*wave_height], - [wave_start - wave_bezier_dx, 5*wave_height + wave_bezier_dy], - [wave_start - wave_bezier_dx, 6*wave_height - wave_bezier_dy], - [wave_start, 6*wave_height]], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - # stemtype=='loopy' - loop_offset_y = y_extent*0.015 - loop_height = (y_extent - 2*loop_offset_y)/4 - loop_start = (start + end)/2 - x_extent*0.05 - loop_end = end - x_extent*0.15 - loop_bezier_amp = y_extent*0.03 - loop_stem_path = Path(vertices=[[loop_start, loop_offset_y], - [loop_start, loop_offset_y - loop_bezier_amp], - [loop_end, loop_offset_y - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*0.5], - [loop_end, loop_offset_y + loop_height + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height], - [loop_start, loop_offset_y + loop_height - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*1.5], - [loop_end, loop_offset_y + loop_height*2 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*2 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*2], - [loop_start, loop_offset_y + loop_height*2 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*2 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*2.5], - [loop_end, loop_offset_y + loop_height*3 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*3 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*3], - [loop_start, loop_offset_y + loop_height*3 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*3 - loop_bezier_amp], - [loop_end, loop_offset_y + loop_height*3.5], - [loop_end, loop_offset_y + loop_height*4 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*4 + loop_bezier_amp], - [loop_start, loop_offset_y + loop_height*4], - ], - codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) - loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, - facecolor='none', zorder=8+zorder_add, linestyle=linestyle) - - # Add stem patches and/or lines - if stemtype == 'straight': - ax.add_line(straight_stem) - elif stemtype == 'wavy': - ax.add_line(wavy_stem) - elif stemtype == 'loopy': - ax.add_line(loop_stem) - - # Add top patches and/or lines - if toptype == 'O': - ax.add_patch(c1) - elif toptype == 'X': - ax.add_line(x1) - ax.add_line(x2) - elif toptype == 'P': - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ General function for drawing stem-top parts (e.g., ribozyme and protease sites). + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 5.0 + y_extent = 10.0 + linestyle = '-' + shapetype = ""; + if type in ["DNACleavageSite"]: + stemtype = 'straight' + toptype = 'X' + elif type in ["RNACleavageSite", "Ribonuclease"]: + stemtype = 'wavy' + toptype = 'X' + elif type in ["ProteinCleavageSite", "Protease"]: + stemtype = 'loopy' + toptype = 'X' + elif type in ["DNALocation"]: + stemtype = 'straight' + toptype = 'O' + elif type in ["RNALocation"]: + stemtype = 'wavy' + toptype = 'O' + elif type in ["ProteinLocation"]: + stemtype = 'loopy' + toptype = 'O' + elif type in ["DNAStability"]: + stemtype = 'straight' + toptype = 'P' + elif type in ["RNAStability"]: + stemtype = 'wavy' + toptype = 'P' + elif type in ["ProteinStability"]: + stemtype = 'loopy' + toptype = 'P' + elif type in ["StemTop"]: + stemtype = opts['stem'] + toptype = opts['top'] + + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + if start > end: + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + # Patches and lines for top glyph + # toptype=="X" + x1 = Line2D([start,end],[-y_extent*1.25,-y_extent/1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[-y_extent/1.25,-y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + # toptype=="O" + center = (end+((start-end)/2.0),-y_extent) + c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + # toptype=='P' + pentagon_xy = [[end, -y_extent*1.25], + [end, -y_extent*0.87], + [(start + end)/2, -y_extent*0.68], + [start, -y_extent*0.87], + [start, -y_extent*1.25], + ] + p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + + # Lines for stem glyph + # stemtype=='straight' + straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0, -y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='wavy' + wave_height = y_extent/6 + wave_start = (start + end)/2 + wave_bezier_amp = x_extent*0.2 + wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) + wavy_stem_path = Path(vertices=[[wave_start, 0], + [wave_start - wave_bezier_dx, -wave_bezier_dy], + [wave_start - wave_bezier_dx, -(wave_height - wave_bezier_dy)], + [wave_start, -wave_height], + [wave_start + wave_bezier_dx, -(wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(2*wave_height - wave_bezier_dy)], + [wave_start, -2*wave_height], + [wave_start - wave_bezier_dx, -(2*wave_height + wave_bezier_dy)], + [wave_start - wave_bezier_dx, -(3*wave_height - wave_bezier_dy)], + [wave_start, -3*wave_height], + [wave_start + wave_bezier_dx, -(3*wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(4*wave_height - wave_bezier_dy)], + [wave_start, -4*wave_height], + [wave_start - wave_bezier_dx, -(4*wave_height + wave_bezier_dy)], + [wave_start - wave_bezier_dx, -(5*wave_height - wave_bezier_dy)], + [wave_start, -5*wave_height], + [wave_start + wave_bezier_dx, -(5*wave_height + wave_bezier_dy)], + [wave_start + wave_bezier_dx, -(6*wave_height - wave_bezier_dy)], + [wave_start, -6*wave_height]], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='loopy' + loop_offset_y = y_extent*0.015 + loop_height = (y_extent - 2*loop_offset_y)/4 + loop_start = (start + end)/2 + x_extent*0.05 + loop_end = end + x_extent*0.15 + loop_bezier_amp = y_extent*0.03 + loop_stem_path = Path(vertices=[[loop_start, -loop_offset_y], + [loop_start, -(loop_offset_y - loop_bezier_amp)], + [loop_end, -(loop_offset_y - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*0.5)], + [loop_end, -(loop_offset_y + loop_height + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height)], + [loop_start, -(loop_offset_y + loop_height - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*1.5)], + [loop_end, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*2 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*2)], + [loop_start, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*2 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*2.5)], + [loop_end, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*3 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*3)], + [loop_start, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*3 - loop_bezier_amp)], + [loop_end, -(loop_offset_y + loop_height*3.5)], + [loop_end, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*4 + loop_bezier_amp)], + [loop_start, -(loop_offset_y + loop_height*4)], + ], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + # Patches and lines for top glyph + # toptype=="X" + x1 = Line2D([start,end],[y_extent*1.25,y_extent/1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + x2 = Line2D([start,end],[y_extent/1.25,y_extent*1.25], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle='-') + + # toptype=="O" + center = (start+((end-start)/2.0),y_extent) + c1 = Circle(center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + # toptype=='P' + pentagon_xy = [[start, y_extent*1.25], + [start, y_extent*0.87], + [(start + end)/2, y_extent*0.68], + [end, y_extent*0.87], + [end, y_extent*1.25], + ] + p1 = Polygon(pentagon_xy, closed=True, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + + # Lines for stem glyph + # stemtype=='straight' + straight_stem = Line2D([end+((start-end)/2.0),end+((start-end)/2.0)],[0,y_extent], + linewidth=linewidth, color=color, zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='wavy' + wave_height = y_extent/6 + wave_start = (start + end)/2 + wave_bezier_amp = x_extent*0.2 + wave_bezier_dx = wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wave_bezier_amp*math.sin(math.pi/4) + wavy_stem_path = Path(vertices=[[wave_start, 0], + [wave_start + wave_bezier_dx, wave_bezier_dy], + [wave_start + wave_bezier_dx, wave_height - wave_bezier_dy], + [wave_start, wave_height], + [wave_start - wave_bezier_dx, wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 2*wave_height - wave_bezier_dy], + [wave_start, 2*wave_height], + [wave_start + wave_bezier_dx, 2*wave_height + wave_bezier_dy], + [wave_start + wave_bezier_dx, 3*wave_height - wave_bezier_dy], + [wave_start, 3*wave_height], + [wave_start - wave_bezier_dx, 3*wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 4*wave_height - wave_bezier_dy], + [wave_start, 4*wave_height], + [wave_start + wave_bezier_dx, 4*wave_height + wave_bezier_dy], + [wave_start + wave_bezier_dx, 5*wave_height - wave_bezier_dy], + [wave_start, 5*wave_height], + [wave_start - wave_bezier_dx, 5*wave_height + wave_bezier_dy], + [wave_start - wave_bezier_dx, 6*wave_height - wave_bezier_dy], + [wave_start, 6*wave_height]], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + wavy_stem = PathPatch(wavy_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + # stemtype=='loopy' + loop_offset_y = y_extent*0.015 + loop_height = (y_extent - 2*loop_offset_y)/4 + loop_start = (start + end)/2 - x_extent*0.05 + loop_end = end - x_extent*0.15 + loop_bezier_amp = y_extent*0.03 + loop_stem_path = Path(vertices=[[loop_start, loop_offset_y], + [loop_start, loop_offset_y - loop_bezier_amp], + [loop_end, loop_offset_y - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*0.5], + [loop_end, loop_offset_y + loop_height + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height], + [loop_start, loop_offset_y + loop_height - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*1.5], + [loop_end, loop_offset_y + loop_height*2 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*2 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*2], + [loop_start, loop_offset_y + loop_height*2 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*2 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*2.5], + [loop_end, loop_offset_y + loop_height*3 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*3 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*3], + [loop_start, loop_offset_y + loop_height*3 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*3 - loop_bezier_amp], + [loop_end, loop_offset_y + loop_height*3.5], + [loop_end, loop_offset_y + loop_height*4 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*4 + loop_bezier_amp], + [loop_start, loop_offset_y + loop_height*4], + ], + codes=[1, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4, 4,4,4]) + loop_stem = PathPatch(loop_stem_path, linewidth=linewidth, edgecolor=color, + facecolor='none', zorder=8+zorder_add, linestyle=linestyle) + + # Add stem patches and/or lines + if stemtype == 'straight': + ax.add_line(straight_stem) + elif stemtype == 'wavy': + ax.add_line(wavy_stem) + elif stemtype == 'loopy': + ax.add_line(loop_stem) + + # Add top patches and/or lines + if toptype == 'O': + ax.add_patch(c1) + elif toptype == 'X': + ax.add_line(x1) + ax.add_line(x2) + elif toptype == 'P': + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_scar (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL scar renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL scar renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start,start+x_extent],[-1*y_extent,-1*y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_empty_space (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in empty space renderer. - """ - # Default options - zorder_add = 0.0 - x_extent = 12.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - # Check direction add start padding - final_start = prev_end - final_end = final_start+x_extent - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in empty space renderer. + """ + # Default options + zorder_add = 0.0 + x_extent = 12.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + # Check direction add start padding + final_start = prev_end + final_end = final_start+x_extent + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_5_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 5' overhang renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 0.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - fliptopbottom = 1 - final_start = prev_end - spmod = 0 - if(start > end): - start = prev_end+end_pad - end = start+x_extent - fliptopbottom = -1 - final_end = end+start_pad - spmod = (x_extent/2.0) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start+(x_extent/2.0)-spmod,start+x_extent-spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL 5' overhang renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 0.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + fliptopbottom = 1 + final_start = prev_end + spmod = 0 + if(start > end): + start = prev_end+end_pad + end = start+x_extent + fliptopbottom = -1 + final_end = end+start_pad + spmod = (x_extent/2.0) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start+(x_extent/2.0)-spmod,start+x_extent-spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_3_overhang (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 3' overhang renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 0.0 - x_extent = 6.0 - y_extent = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - fliptopbottom = 1 - final_start = prev_end - spmod = 0 - if(start > end): - start = prev_end+end_pad - end = start+x_extent - fliptopbottom = -1 - final_end = end+start_pad - spmod = (x_extent/2.0) - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l_bottom = Line2D([start+spmod,start+(x_extent/2.0)+spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_line(l_top) - ax.add_line(l_bottom) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL 3' overhang renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 0.0 + x_extent = 6.0 + y_extent = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + fliptopbottom = 1 + final_start = prev_end + spmod = 0 + if(start > end): + start = prev_end+end_pad + end = start+x_extent + fliptopbottom = -1 + final_end = end+start_pad + spmod = (x_extent/2.0) + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + l_top = Line2D([start,start+x_extent],[y_extent*fliptopbottom,y_extent*fliptopbottom], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l_bottom = Line2D([start+spmod,start+(x_extent/2.0)+spmod],[-1*y_extent*fliptopbottom,-1*y_extent*fliptopbottom], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_line(l_top) + ax.add_line(l_bottom) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_blunt_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL blunt-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 1.5 - site_space = 1.5 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'site_space' in list(opts.keys()): - site_space = opts['site_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent+site_space+x_extent - final_end = end+end_pad - - l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - - l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - ax.add_line(l2) - ax.add_line(l2_top) - ax.add_line(l2_bottom) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end + """ Built-in SBOL blunt-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 1.5 + site_space = 1.5 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'site_space' in list(opts.keys()): + site_space = opts['site_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent+site_space+x_extent + final_end = end+end_pad + + l1 = Line2D([start+x_extent,start+x_extent],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start,start+x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start,start+x_extent],[-y_extent,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + + l2 = Line2D([end-x_extent,end-x_extent],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l2_top = Line2D([end,end-x_extent],[y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l2_bottom = Line2D([end,end-x_extent],[-y_extent,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + ax.add_line(l2) + ax.add_line(l2_top) + ax.add_line(l2_bottom) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end def sbol_primer_binding_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL primer binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 2.0 - y_offset = 1.5 - x_extent = 8.0 - arrowhead_length = 2.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - direction = 'F' - if start > end: - direction = 'R' - temp_end = end - end = start - start = temp_end - - final_end = prev_end - final_start = prev_end - - if direction == 'F': - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - else: - final_start = prev_end - end = prev_end+end_pad - start = end+x_extent - final_start = start+start_pad - - if direction == 'F': - verts = [(start, y_offset), (end, y_offset), (end-arrowhead_length, y_offset+y_extent)] - codes = [Path.MOVETO, Path.LINETO, Path.LINETO] - path = Path(verts, codes) - patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) - ax.add_patch(patch) - else: - verts = [(start, -y_offset), (end, -y_offset), (end+arrowhead_length, -y_offset-y_extent)] - codes = [Path.MOVETO, Path.LINETO, Path.LINETO] - path = Path(verts, codes) - patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) - ax.add_patch(patch) - - if opts != None and 'label' in list(opts.keys()): - if start > end: - write_label(ax, opts['label'], end+((start-end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start+((end-start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL primer binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 2.0 + y_offset = 1.5 + x_extent = 8.0 + arrowhead_length = 2.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + direction = 'F' + if start > end: + direction = 'R' + temp_end = end + end = start + start = temp_end + + final_end = prev_end + final_start = prev_end + + if direction == 'F': + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + else: + final_start = prev_end + end = prev_end+end_pad + start = end+x_extent + final_start = start+start_pad + + if direction == 'F': + verts = [(start, y_offset), (end, y_offset), (end-arrowhead_length, y_offset+y_extent)] + codes = [Path.MOVETO, Path.LINETO, Path.LINETO] + path = Path(verts, codes) + patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) + ax.add_patch(patch) + else: + verts = [(start, -y_offset), (end, -y_offset), (end+arrowhead_length, -y_offset-y_extent)] + codes = [Path.MOVETO, Path.LINETO, Path.LINETO] + path = Path(verts, codes) + patch = PathPatch(path, lw=linewidth, edgecolor=color, facecolor=(1,1,1), zorder=1+zorder_add) + ax.add_patch(patch) + + if opts != None and 'label' in list(opts.keys()): + if start > end: + write_label(ax, opts['label'], end+((start-end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start+((end-start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_5_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 5' sticky-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 8.0 - end_space = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'end_space' in list(opts.keys()): - end_space = opts['end_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+end_space+x_extent+end_space - final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - - # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end, -y_extent), - (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end + """ Built-in SBOL 5' sticky-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 8.0 + end_space = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'end_space' in list(opts.keys()): + end_space = opts['end_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+end_space+x_extent+end_space + final_end = end+end_pad + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start+end_space,start+end_space],[0,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + + # White rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end, -y_extent), + (end, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end def sbol_3_sticky_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL 3' sticky-end restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - x_extent = 8.0 - end_space = 1.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'end_space' in list(opts.keys()): - end_space = opts['end_space'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - # Direction is meaningless for this part => start is always < end - if start > end: - temp_end = end - end = start - start = temp_end - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+end_space+x_extent+end_space - final_end = end+end_pad - - l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - ax.add_line(l1_top) - ax.add_line(l1_bottom) - - # White rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (end, -y_extent), - (end, y_extent)], - edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - return final_start, final_end + """ Built-in SBOL 3' sticky-end restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + x_extent = 8.0 + end_space = 1.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'end_space' in list(opts.keys()): + end_space = opts['end_space'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + # Direction is meaningless for this part => start is always < end + if start > end: + temp_end = end + end = start + start = temp_end + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+end_space+x_extent+end_space + final_end = end+end_pad + + l1 = Line2D([start+end_space,start+end_space+x_extent],[0,0], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_top = Line2D([start+end_space+x_extent,start+end_space+x_extent],[0,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + l1_bottom = Line2D([start+end_space,start+end_space],[0,-y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + ax.add_line(l1_top) + ax.add_line(l1_bottom) + + # White rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (end, -y_extent), + (end, y_extent)], + edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + return final_start, final_end def sbol_user_defined (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL user-defined element renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 12.0 - y_extent = 3.0 - linestyle = '-' - fill_color = (1,1,1) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'fill_color' in list(opts.keys()): - fill_color = opts['fill_color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL user-defined element renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 12.0 + y_extent = 3.0 + linestyle = '-' + fill_color = (1,1,1) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'fill_color' in list(opts.keys()): + fill_color = opts['fill_color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_signature (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL signature renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 12.0 - y_extent = 3.0 - linestyle = '-' - fill_color = (1,1,1) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'fill_color' in list(opts.keys()): - fill_color = opts['fill_color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - - direction = 'F' - if start > end: - direction = 'R' - temp_end = end - end = start - start = temp_end - - final_end = prev_end - final_start = prev_end - - if direction == 'F': - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - else: - final_start = prev_end - end = prev_end+end_pad - start = end+x_extent - final_start = start+start_pad - - indent_fac = (y_extent*2.0)*0.3 - cross_width = (y_extent*2.0)*0.7 - - if direction == 'F': - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - top1x = start + indent_fac - top1y = y_extent - indent_fac - top2x = start + cross_width - top2y = y_extent - indent_fac - bot1x = start + indent_fac - bot1y = -y_extent + indent_fac - bot2x = start + cross_width - bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lcross1) - ax.add_line(lcross2) - lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lsign) - else: - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start-x_extent, -y_extent), - (start-x_extent, y_extent)], - edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - top1x = start - indent_fac - top1y = y_extent - indent_fac - top2x = start - cross_width - top2y = y_extent - indent_fac - bot1x = start - indent_fac - bot1y = -y_extent + indent_fac - bot2x = start - cross_width - bot2y = -y_extent + indent_fac - lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lcross1) - ax.add_line(lcross2) - lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(lsign) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL signature renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 12.0 + y_extent = 3.0 + linestyle = '-' + fill_color = (1,1,1) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'fill_color' in list(opts.keys()): + fill_color = opts['fill_color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + + direction = 'F' + if start > end: + direction = 'R' + temp_end = end + end = start + start = temp_end + + final_end = prev_end + final_start = prev_end + + if direction == 'F': + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + else: + final_start = prev_end + end = prev_end+end_pad + start = end+x_extent + final_start = start+start_pad + + indent_fac = (y_extent*2.0)*0.3 + cross_width = (y_extent*2.0)*0.7 + + if direction == 'F': + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + top1x = start + indent_fac + top1y = y_extent - indent_fac + top2x = start + cross_width + top2y = y_extent - indent_fac + bot1x = start + indent_fac + bot1y = -y_extent + indent_fac + bot2x = start + cross_width + bot2y = -y_extent + indent_fac + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lcross1) + ax.add_line(lcross2) + lsign = Line2D([bot2x+indent_fac,end-indent_fac],[-y_extent+indent_fac,-y_extent+indent_fac], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lsign) + else: + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start-x_extent, -y_extent), + (start-x_extent, y_extent)], + edgecolor=color, facecolor=fill_color, linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + top1x = start - indent_fac + top1y = y_extent - indent_fac + top2x = start - cross_width + top2y = y_extent - indent_fac + bot1x = start - indent_fac + bot1y = -y_extent + indent_fac + bot2x = start - cross_width + bot2y = -y_extent + indent_fac + lcross1 = Line2D([top1x,bot2x],[top1y,bot2y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + lcross2 = Line2D([top2x,bot1x],[top2y,bot1y], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lcross1) + ax.add_line(lcross2) + lsign = Line2D([bot2x-indent_fac,end+indent_fac],[y_extent-indent_fac,y_extent-indent_fac], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(lsign) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_recombinase1 (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - forward direction - """ - # Default parameters - color = (0,0,0) - color2 = (0,0,0) - start_pad = 0.0 - end_pad = 0.0 - x_extent = 12.0 - y_extent = 12.0 - linestyle = '-' - edgecolor = (0,0,0) - # Update default parameters if provided - if opts != None: - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'color2' in list(opts.keys()): - color2 = opts['color2'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - # Check direction add start padding - final_end = end - final_start = prev_end - y_lower = -1 * y_extent/2 - y_upper = y_extent/2 - - - if start > end: - start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad+linewidth - final_end = start+start_pad+linewidth - #temp = color - #color = color2 - #color2 = temp - else: - start = prev_end+start_pad+linewidth - end = start+x_extent - final_end = end+end_pad+linewidth - # Draw the site - p1 = Polygon([(start, y_lower), - (start, y_upper), - (end,0)], - edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, - path_effects=[Stroke(joinstyle="miter")]) - ax.add_patch(p1) - # Add a label if needed - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ SBOL recombinase site renderer - forward direction + """ + # Default parameters + color = (0,0,0) + color2 = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 12.0 + y_extent = 12.0 + linestyle = '-' + edgecolor = (0,0,0) + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'color2' in list(opts.keys()): + color2 = opts['color2'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + + + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad+linewidth + #temp = color + #color = color2 + #color2 = temp + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad+linewidth + # Draw the site + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_ncrna (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - reverse direction - """ - # Default parameters - color = (0,0,0) - start_pad = 0.0 - end_pad = 0.0 - x_extent = 30.0 - y_extent = 6.0 - linestyle = '-' - edgecolor = (0,0,0) - # Update default parameters if provided - if opts != None: - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - # Check direction add start padding - - final_end = end - final_start = prev_end - y_lower = -1 * y_extent/2 - y_upper = y_extent/2 - wavemult = 1 - #print("oogabooga") - if start > end: - start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad+linewidth - final_end = start+start_pad+linewidth - wavemult = -1 - else: - start = prev_end+start_pad+linewidth - end = start+x_extent - final_end = end+end_pad+linewidth - midpoint = (end + start) / 2 - - - wave_height = wavemult*y_extent - #wave_height = -y_extent - wave_start = start - wave_end = end - wave_length = end-start - wave_bezier_amp = y_extent*0.2 - wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) - wave_bezier_dy = wavemult*wave_bezier_amp*math.sin(math.pi/4) - wavy_rna_path = Path(vertices=[[wave_start,0], - [wave_start, wave_height], - [wave_start + wave_bezier_dx, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*2, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*3, wave_height], - [wave_start + wave_bezier_dx*4, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*5, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*6, wave_height], - [wave_start + wave_bezier_dx*7, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*8, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*9, wave_height], - [wave_start + wave_bezier_dx*10, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*11, wave_height-wave_bezier_dy], - [wave_start + wave_bezier_dx*12, wave_height], - [wave_start + wave_bezier_dx*13, wave_height+wave_bezier_dy], - [wave_start + wave_bezier_dx*14, wave_height+wave_bezier_dy], - [wave_end,wave_height], - [wave_end,0], - [wave_end,0] - ], - codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) - wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=edgecolor, - facecolor=color, zorder=12, linestyle='-') - - ax.add_patch(wavy_rna) - # Add a label if needed - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 30.0 + y_extent = 6.0 + linestyle = '-' + edgecolor = (0,0,0) + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + # Check direction add start padding + + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + wavemult = 1 + #print("oogabooga") + if start > end: + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad+linewidth + wavemult = -1 + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad+linewidth + midpoint = (end + start) / 2 + + + wave_height = wavemult*y_extent + #wave_height = -y_extent + wave_start = start + wave_end = end + wave_length = end-start + wave_bezier_amp = y_extent*0.2 + wave_bezier_dx = wave_length/15.0#wave_bezier_amp*math.cos(math.pi/4) + wave_bezier_dy = wavemult*wave_bezier_amp*math.sin(math.pi/4) + wavy_rna_path = Path(vertices=[[wave_start,0], + [wave_start, wave_height], + [wave_start + wave_bezier_dx, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*2, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*3, wave_height], + [wave_start + wave_bezier_dx*4, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*5, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*6, wave_height], + [wave_start + wave_bezier_dx*7, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*8, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*9, wave_height], + [wave_start + wave_bezier_dx*10, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*11, wave_height-wave_bezier_dy], + [wave_start + wave_bezier_dx*12, wave_height], + [wave_start + wave_bezier_dx*13, wave_height+wave_bezier_dy], + [wave_start + wave_bezier_dx*14, wave_height+wave_bezier_dy], + [wave_end,wave_height], + [wave_end,0], + [wave_end,0] + ], + codes=[1, 2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,79]) + wavy_rna = PathPatch(wavy_rna_path, linewidth=linewidth, edgecolor=edgecolor, + facecolor=color, zorder=12, linestyle='-') + + ax.add_patch(wavy_rna) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_recombinase2 (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ SBOL recombinase site renderer - reverse direction - """ - # Default parameters - color = (0,0,0) - color2 = (0,0,0) - start_pad = 0.0 - end_pad = 0.0 - x_extent = 12.0 - y_extent = 12.0 - linestyle = '-' - edgecolor = (0,0,0) - # Update default parameters if provided - if opts != None: - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'color2' in list(opts.keys()): - color2 = opts['color2'] - else: - if 'color' in list(opts.keys()): - r2 = float(color[0]) / 2 - g2 = float(color[1]) / 2 - b2 = float(color[2]) / 2 - color2 = (r2,g2,b2) - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - # Check direction add start padding - final_end = end - final_start = prev_end - y_lower = -1 * y_extent/2 - y_upper = y_extent/2 - if start > end: - #this is reverse - start = prev_end+end_pad+x_extent+linewidth - end = prev_end+end_pad+linewidth - final_end = start+start_pad+linewidth - #temp = color - #color = color2 - #color2 = temp - else: - start = prev_end+start_pad+linewidth - end = start+x_extent - final_end = end+end_pad+linewidth - # Draw the site - #big triangle (the whole thing) - p1 = Polygon([(start, y_lower), - (start, y_upper), - (end,0)], - edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, - path_effects=[Stroke(joinstyle="miter")]) - midpoint = (end + start) / 2 - hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) - hypotenuse2 = hypotenuse / 2 - cosineA = (y_extent/2) / hypotenuse - f = hypotenuse2 * cosineA - #small triangle - p2 = Polygon([(midpoint, -1*f), - (midpoint, f), - (end,0)], - edgecolor=edgecolor, facecolor=color2, linewidth=linewidth, zorder=12, - path_effects=[Stroke(joinstyle="miter")]) - ax.add_patch(p1) - ax.add_patch(p2) - # Add a label if needed - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - # Return the final start and end positions to the DNA renderer - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ SBOL recombinase site renderer - reverse direction + """ + # Default parameters + color = (0,0,0) + color2 = (0,0,0) + start_pad = 0.0 + end_pad = 0.0 + x_extent = 12.0 + y_extent = 12.0 + linestyle = '-' + edgecolor = (0,0,0) + # Update default parameters if provided + if opts != None: + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'color2' in list(opts.keys()): + color2 = opts['color2'] + else: + if 'color' in list(opts.keys()): + r2 = float(color[0]) / 2 + g2 = float(color[1]) / 2 + b2 = float(color[2]) / 2 + color2 = (r2,g2,b2) + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + # Check direction add start padding + final_end = end + final_start = prev_end + y_lower = -1 * y_extent/2 + y_upper = y_extent/2 + if start > end: + #this is reverse + start = prev_end+end_pad+x_extent+linewidth + end = prev_end+end_pad+linewidth + final_end = start+start_pad+linewidth + #temp = color + #color = color2 + #color2 = temp + else: + start = prev_end+start_pad+linewidth + end = start+x_extent + final_end = end+end_pad+linewidth + # Draw the site + #big triangle (the whole thing) + p1 = Polygon([(start, y_lower), + (start, y_upper), + (end,0)], + edgecolor=edgecolor, facecolor=color, linewidth=linewidth, zorder=11, + path_effects=[Stroke(joinstyle="miter")]) + midpoint = (end + start) / 2 + hypotenuse = math.sqrt( (y_extent/2)**2 + (x_extent)**2 ) + hypotenuse2 = hypotenuse / 2 + cosineA = (y_extent/2) / hypotenuse + f = hypotenuse2 * cosineA + #small triangle + p2 = Polygon([(midpoint, -1*f), + (midpoint, f), + (end,0)], + edgecolor=edgecolor, facecolor=color2, linewidth=linewidth, zorder=12, + path_effects=[Stroke(joinstyle="miter")]) + ax.add_patch(p1) + ax.add_patch(p2) + # Add a label if needed + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + # Return the final start and end positions to the DNA renderer + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_restriction_site (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL restriction site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 4.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad+linewidth/2 - end = start + linewidth/2 - final_end = end+end_pad - - l1 = Line2D([start,start],[-y_extent,y_extent], - linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) - ax.add_line(l1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL restriction site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 4.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad+linewidth/2 + end = start + linewidth/2 + final_end = end+end_pad + + l1 = Line2D([start,start],[-y_extent,y_extent], + linewidth=linewidth, color=color, zorder=12+zorder_add, linestyle=linestyle) + ax.add_line(l1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_spacer (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL spacer renderer. - """ - # Default options - zorder_add = 0.0 - color = (1,1,1) - edgecolor = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 6.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - rbs_center = (start+((end-start)/2.0),0) - center_x = start+(end-start)/2.0 - radius = x_extent/2 - - delta = radius - 0.5 * radius * math.sqrt(2) - - l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], - linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], - linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) - c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, - facecolor=color, zorder=12+zorder_add) - - ax.add_patch(c1) - ax.add_line(l1) - ax.add_line(l2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL spacer renderer. + """ + # Default options + zorder_add = 0.0 + color = (1,1,1) + edgecolor = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 6.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + rbs_center = (start+((end-start)/2.0),0) + center_x = start+(end-start)/2.0 + radius = x_extent/2 + + delta = radius - 0.5 * radius * math.sqrt(2) + + l1 = Line2D([start+delta,end-delta],[radius-delta,-1*radius+delta], + linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) + l2 = Line2D([start+delta,end-delta],[-1*radius+delta,radius-delta], + linewidth=linewidth, color=edgecolor, zorder=12+zorder_add, linestyle=linestyle) + c1 = Circle(rbs_center, x_extent/2.0, linewidth=linewidth, edgecolor=edgecolor, + facecolor=color, zorder=12+zorder_add) + + ax.add_patch(c1) + ax.add_line(l1) + ax.add_line(l2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_origin (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL origin renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 10.0 - y_extent = 10.0 - linestyle = '-' - y_offset = 0 - face_color = (1,1,1) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'face_color' in list(opts.keys()): - face_color = tuple(opts['face_color']) - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - ori_center = (start+((end-start)/2.0),y_offset) - - c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=face_color, zorder=12+zorder_add) - - ax.add_patch(c1) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL origin renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + y_extent = 10.0 + linestyle = '-' + y_offset = 0 + face_color = (1,1,1) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'face_color' in list(opts.keys()): + face_color = tuple(opts['face_color']) + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + ori_center = (start+((end-start)/2.0),y_offset) + + c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=face_color, zorder=12+zorder_add) + + ax.add_patch(c1) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_origin_of_transfer (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL origin of transfer renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 10.0 - y_extent = 10.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - ori_center = (start+((end-start)/2.0),0) - extend = 1.2 - arrowlongedge = x_extent*extend*.20 - arrowshortedge = x_extent*extend*.09 - arrowdest = (start+x_extent*extend,y_extent*extend/2) - - c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add) - #arrow = FancyArrow(ori_center[0],ori_center[1],\ - # x_extent/2*extend,y_extent/2*extend,width=linewidth) - arrowpath =Path(vertices=[ori_center, - arrowdest, - (arrowdest[0]-arrowlongedge,arrowdest[1]-arrowshortedge), - (arrowdest[0]-arrowshortedge,arrowdest[1]-arrowlongedge), - arrowdest, - arrowdest,], - codes=[1, 2,2,1,2,79]) - p2 = PathPatch(arrowpath, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=12+zorder_add, linestyle='-') - - - ax.add_patch(c1) - ax.add_patch(p2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL origin of transfer renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 10.0 + y_extent = 10.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + ori_center = (start+((end-start)/2.0),0) + extend = 1.2 + arrowlongedge = x_extent*extend*.20 + arrowshortedge = x_extent*extend*.09 + arrowdest = (start+x_extent*extend,y_extent*extend/2) + + c1 = Circle(ori_center, x_extent/2.0, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add) + #arrow = FancyArrow(ori_center[0],ori_center[1],\ + # x_extent/2*extend,y_extent/2*extend,width=linewidth) + arrowpath =Path(vertices=[ori_center, + arrowdest, + (arrowdest[0]-arrowlongedge,arrowdest[1]-arrowshortedge), + (arrowdest[0]-arrowshortedge,arrowdest[1]-arrowlongedge), + arrowdest, + arrowdest,], + codes=[1, 2,2,1,2,79]) + p2 = PathPatch(arrowpath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=12+zorder_add, linestyle='-') + + + ax.add_patch(c1) + ax.add_patch(p2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_operator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL operator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 6.0 - y_extent = 3.0 - linestyle = '-' - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - final_end = end - final_start = prev_end - - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - - #p1 = Polygon([(start, y_extent), - # (start, -y_extent), - # (start+x_extent, -y_extent), - # (start+x_extent, y_extent)], - # edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=None, zorder=11+zorder_add, - # path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - operatorpath = Path(vertices=[(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent), - (start, y_extent), - (start, y_extent)], - codes=[1, 2,2,2,1,79]) - p2 = PathPatch(operatorpath, linewidth=linewidth, edgecolor=color, - facecolor=(1,1,1), zorder=11+zorder_add, linestyle='-') - #ax.add_patch(p1) - ax.add_patch(p2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL operator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 6.0 + y_extent = 3.0 + linestyle = '-' + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + final_end = end + final_start = prev_end + + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + #white rectangle overlays backbone line + + #p1 = Polygon([(start, y_extent), + # (start, -y_extent), + # (start+x_extent, -y_extent), + # (start+x_extent, y_extent)], + # edgecolor=(1,1,1), facecolor=(1,1,1), linewidth=None, zorder=11+zorder_add, + # path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + operatorpath = Path(vertices=[(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent), + (start, y_extent), + (start, y_extent)], + codes=[1, 2,2,2,1,79]) + p2 = PathPatch(operatorpath, linewidth=linewidth, edgecolor=color, + facecolor=(1,1,1), zorder=11+zorder_add, linestyle='-') + #ax.add_patch(p1) + ax.add_patch(p2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end def sbol_insulator (ax, type, num, start, end, prev_end, scale, linewidth, opts): - """ Built-in SBOL insulator renderer. - """ - # Default options - zorder_add = 0.0 - color = (0,0,0) - start_pad = 2.0 - end_pad = 2.0 - x_extent = 8.0 - y_extent = 4.0 - linestyle = '-' - edgecolor = (0,0,0) - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - if 'edgecolor' in list(opts.keys()): - edgecolor = opts['edgecolor'] - - # Check direction add start padding - final_end = end - final_start = prev_end - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - #white rectangle overlays backbone line - p1 = Polygon([(start, y_extent), - (start, -y_extent), - (start+x_extent, -y_extent), - (start+x_extent, y_extent)], - edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - bits = 5.0 - gap_size = ((end-start)/bits) - x_inset_start = start + gap_size - x_inset_end = start + ((bits-1.0)*gap_size) - - # Inside rectangle - p2 = Polygon([(x_inset_start, y_extent-gap_size), - (x_inset_start, -y_extent+gap_size), - (x_inset_end, -y_extent+gap_size), - (x_inset_end, y_extent-gap_size)], - edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - - ax.add_patch(p1) - ax.add_patch(p2) - - if opts != None and 'label' in list(opts.keys()): - if final_start > final_end: - write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) - else: - write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + """ Built-in SBOL insulator renderer. + """ + # Default options + zorder_add = 0.0 + color = (0,0,0) + start_pad = 2.0 + end_pad = 2.0 + x_extent = 8.0 + y_extent = 4.0 + linestyle = '-' + edgecolor = (0,0,0) + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + if 'edgecolor' in list(opts.keys()): + edgecolor = opts['edgecolor'] + + # Check direction add start padding + final_end = end + final_start = prev_end + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + #white rectangle overlays backbone line + p1 = Polygon([(start, y_extent), + (start, -y_extent), + (start+x_extent, -y_extent), + (start+x_extent, y_extent)], + edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=11+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + bits = 5.0 + gap_size = ((end-start)/bits) + x_inset_start = start + gap_size + x_inset_end = start + ((bits-1.0)*gap_size) + + # Inside rectangle + p2 = Polygon([(x_inset_start, y_extent-gap_size), + (x_inset_start, -y_extent+gap_size), + (x_inset_end, -y_extent+gap_size), + (x_inset_end, y_extent-gap_size)], + edgecolor=edgecolor, facecolor=(1,1,1), linewidth=linewidth, zorder=12+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + + ax.add_patch(p1) + ax.add_patch(p2) + + if opts != None and 'label' in list(opts.keys()): + if final_start > final_end: + write_label(ax, opts['label'], final_end+((final_start-final_end)/2.0), opts=opts) + else: + write_label(ax, opts['label'], final_start+((final_end-final_start)/2.0), opts=opts) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end # Not used at present def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, opts): - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - start_pad = 2.0 - end_pad = 2.0 - y_extent = 10 - x_extent = 10 - arrowhead_height = 2 - arrowhead_length = 4 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'start_pad' in list(opts.keys()): - start_pad = opts['start_pad'] - if 'end_pad' in list(opts.keys()): - end_pad = opts['end_pad'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - final_end = end - final_start = prev_end - if start > end: - dir_fac = -1.0 - start = prev_end+end_pad+x_extent - end = prev_end+end_pad - final_end = start+start_pad - else: - start = prev_end+start_pad - end = start+x_extent - final_end = end+end_pad - - e1center = (start+((end-start)/2.0),0) - e2center = (start+((end-start)/2.0)+x_extent/3.75,0) - - e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, - linewidth=linewidth, fill=True, zorder=12+zorder_add) - e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, - linewidth=linewidth, fill=True, zorder=11+zorder_add) - - ax.add_patch(e1) - ax.add_patch(e2) - - if final_start > final_end: - return prev_end, final_start - else: - return prev_end, final_end + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + start_pad = 2.0 + end_pad = 2.0 + y_extent = 10 + x_extent = 10 + arrowhead_height = 2 + arrowhead_length = 4 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'start_pad' in list(opts.keys()): + start_pad = opts['start_pad'] + if 'end_pad' in list(opts.keys()): + end_pad = opts['end_pad'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + final_end = end + final_start = prev_end + if start > end: + dir_fac = -1.0 + start = prev_end+end_pad+x_extent + end = prev_end+end_pad + final_end = start+start_pad + else: + start = prev_end+start_pad + end = start+x_extent + final_end = end+end_pad + + e1center = (start+((end-start)/2.0),0) + e2center = (start+((end-start)/2.0)+x_extent/3.75,0) + + e1 = Ellipse(e1center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + linewidth=linewidth, fill=True, zorder=12+zorder_add) + e2 = Ellipse(e2center, y_extent/2, y_extent, edgecolor=(0,0,0), facecolor=color, + linewidth=linewidth, fill=True, zorder=11+zorder_add) + + ax.add_patch(e1) + ax.add_patch(e2) + + if final_start > final_end: + return prev_end, final_start + else: + return prev_end, final_end ############################################################################### @@ -2377,128 +2376,128 @@ def temporary_repressor (ax, type, num, start, end, prev_end, scale, linewidth, def repress (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard repression regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard repression regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def induce (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard induction regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard induction regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def connect (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ Standard induction regulation renderer. - """ - regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) + """ Standard induction regulation renderer. + """ + regulation(ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts) def bound(ax,type,num,from_part,to_part, scale, linewidth, arc_height_index, opts): - """renders a circle above a part to indicate that it is bound""" - color = (0.0,0.0,0.0) - circle_offset = 5 - part_midpt = ((from_part['start'] + from_part['end']) / 2) - start = part_midpt- circle_offset - end = part_midpt + circle_offset - if('y_offset' not in opts): - opts['y_offset']=3 - opts['y_offset'] = opts['y_offset']*arc_height_index - opts['x_extent']=circle_offset*2 - opts['start_pad']=0 - sbol_origin(ax,"Origin",0,start,end,start, 1.0,linewidth,opts) + """renders a circle above a part to indicate that it is bound""" + color = (0.0,0.0,0.0) + circle_offset = 5 + part_midpt = ((from_part['start'] + from_part['end']) / 2) + start = part_midpt- circle_offset + end = part_midpt + circle_offset + if('y_offset' not in opts): + opts['y_offset']=3 + opts['y_offset'] = opts['y_offset']*arc_height_index + opts['x_extent']=circle_offset*2 + opts['start_pad']=0 + sbol_origin(ax,"Origin",0,start,end,start, 1.0,linewidth,opts) def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_index, opts): - """ General function for drawing regulation arcs. - """ - - color = (0.0,0.0,0.0) - arrowhead_length = 3 - linestyle = '-' - arcHeightConst = 15 - arcHeightSpacing = 5 - arcHeightStart = 10 - arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing - arcHeightEnd = arcHeightStart*1.5 - arc_start_x_offset = 0.0 - arc_end_x_offset = 0.0 - - # Reset defaults if provided - if opts != None: - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linestyle' in list(opts.keys()): - linestyle = opts['linestyle'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'arc_height' in list(opts.keys()): - arcHeight = opts['arc_height'] - if 'arc_height_const' in list(opts.keys()): - arcHeightConst = opts['arc_height_const'] - if 'arc_height_spacing' in list(opts.keys()): - arcHeightSpacing = opts['arc_height_spacing'] - if 'arc_height_start' in list(opts.keys()): - arcHeightStart = opts['arc_height_start'] - if 'arc_height_end' in list(opts.keys()): - arcHeightEnd = opts['arc_height_end'] - if 'arc_start_x_offset' in list(opts.keys()): - arc_start_x_offset = opts['arc_start_x_offset'] - if 'arc_end_x_offset' in list(opts.keys()): - arc_end_x_offset = opts['arc_end_x_offset'] - - if opts == None or 'arc_height' not in list(opts.keys()): - arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing - startHeight = arcHeightStart - - start = ((from_part['start'] + from_part['end']) / 2) + arc_start_x_offset - end = ((to_part['start'] + to_part['end']) / 2) + arc_end_x_offset - - top = arcHeight; - base = startHeight; - indHeight = arrowhead_length - corr = .4*linewidth - - - if to_part['fwd'] == False: - base = -1*startHeight - arcHeightEnd = -arcHeightEnd - top = -1*arcHeight - indHeight = -1*arrowhead_length - corr *= -1.0 - - - line_away = Line2D([start,start],[base,top], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_across = Line2D([start,end],[top,top], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_toward = Line2D([end,end],[top,arcHeightEnd+corr], - linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) - line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], - linewidth=linewidth, color=color, zorder=12, linestyle='-') - - if(type == 'Repression'): - ax.add_line(line_rep) - ax.add_line(line_away) - ax.add_line(line_across) - ax.add_line(line_toward) - if(type == 'Activation'): - ax.add_line(line_ind1) - ax.add_line(line_ind2) - ax.add_line(line_away) - ax.add_line(line_across) - ax.add_line(line_toward) - - if(type == 'Connection'): - verts = [ (start, base), (start, top), (end, top), (end, base) ] - codes = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4] - path1 = Path(verts, codes) - patch = patches.PathPatch(path1, facecolor='none', lw=linewidth, edgecolor=color) - ax.add_patch(patch) + """ General function for drawing regulation arcs. + """ + + color = (0.0,0.0,0.0) + arrowhead_length = 3 + linestyle = '-' + arcHeightConst = 15 + arcHeightSpacing = 5 + arcHeightStart = 10 + arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing + arcHeightEnd = arcHeightStart*1.5 + arc_start_x_offset = 0.0 + arc_end_x_offset = 0.0 + + # Reset defaults if provided + if opts != None: + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linestyle' in list(opts.keys()): + linestyle = opts['linestyle'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'arc_height' in list(opts.keys()): + arcHeight = opts['arc_height'] + if 'arc_height_const' in list(opts.keys()): + arcHeightConst = opts['arc_height_const'] + if 'arc_height_spacing' in list(opts.keys()): + arcHeightSpacing = opts['arc_height_spacing'] + if 'arc_height_start' in list(opts.keys()): + arcHeightStart = opts['arc_height_start'] + if 'arc_height_end' in list(opts.keys()): + arcHeightEnd = opts['arc_height_end'] + if 'arc_start_x_offset' in list(opts.keys()): + arc_start_x_offset = opts['arc_start_x_offset'] + if 'arc_end_x_offset' in list(opts.keys()): + arc_end_x_offset = opts['arc_end_x_offset'] + + if opts == None or 'arc_height' not in list(opts.keys()): + arcHeight = arcHeightConst + arc_height_index*arcHeightSpacing + startHeight = arcHeightStart + + start = ((from_part['start'] + from_part['end']) / 2) + arc_start_x_offset + end = ((to_part['start'] + to_part['end']) / 2) + arc_end_x_offset + + top = arcHeight; + base = startHeight; + indHeight = arrowhead_length + corr = .4*linewidth + + + if to_part['fwd'] == False: + base = -1*startHeight + arcHeightEnd = -arcHeightEnd + top = -1*arcHeight + indHeight = -1*arrowhead_length + corr *= -1.0 + + + line_away = Line2D([start,start],[base,top], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_across = Line2D([start,end],[top,top], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_toward = Line2D([end,end],[top,arcHeightEnd+corr], + linewidth=linewidth, color=color, zorder=12, linestyle=linestyle) + line_rep = Line2D([end-arrowhead_length,end+arrowhead_length],[arcHeightEnd,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + line_ind1 = Line2D([end-arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + line_ind2 = Line2D([end+arrowhead_length,end],[arcHeightEnd+indHeight,arcHeightEnd], + linewidth=linewidth, color=color, zorder=12, linestyle='-') + + if(type == 'Repression'): + ax.add_line(line_rep) + ax.add_line(line_away) + ax.add_line(line_across) + ax.add_line(line_toward) + if(type == 'Activation'): + ax.add_line(line_ind1) + ax.add_line(line_ind2) + ax.add_line(line_away) + ax.add_line(line_across) + ax.add_line(line_toward) + + if(type == 'Connection'): + verts = [ (start, base), (start, top), (end, top), (end, base) ] + codes = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4] + path1 = Path(verts, codes) + patch = patches.PathPatch(path1, facecolor='none', lw=linewidth, edgecolor=color) + ax.add_patch(patch) ############################################################################### @@ -2507,365 +2506,365 @@ def regulation (ax, type, num, from_part, to_part, scale, linewidth, arc_height_ def trace_promoter_start (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based promoter renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,1.0) - y_offset = 0.0 - y_extent = 6.0 - x_extent = 30.0 - arrowhead_height = 0.5 - arrowhead_length = 15.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - y_offset = -y_offset - # Draw the promoter symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), - (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based promoter renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,1.0) + y_offset = 0.0 + y_extent = 6.0 + x_extent = 30.0 + arrowhead_height = 0.5 + arrowhead_length = 15.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + y_offset = -y_offset + # Draw the promoter symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + l2 = Line2D([start_bp,start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), + (start_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), + (start_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent-(arrowhead_height)+y_offset)], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_promoter (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based promoter renderer with arrow at TSS. - """ - # Default options - zorder_add = 0.0 - color = (0.0,0.0,1.0) - y_offset = 0.0 - y_extent = 6.0 - x_extent = 30.0 - arrowhead_height = 0.5 - arrowhead_length = 15.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - y_offset = -y_offset - # Draw the promoter symbol - l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], - [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, - color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent+(arrowhead_height)+y_offset), - (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), - (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, - dir_fac*y_extent-(arrowhead_height)+y_offset)], - facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based promoter renderer with arrow at TSS. + """ + # Default options + zorder_add = 0.0 + color = (0.0,0.0,1.0) + y_offset = 0.0 + y_extent = 6.0 + x_extent = 30.0 + arrowhead_height = 0.5 + arrowhead_length = 15.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + y_offset = -y_offset + # Draw the promoter symbol + l1 = Line2D([end_bp,end_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + l2 = Line2D([end_bp,end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*0.5*scale], + [dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, + color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + p1 = Polygon([(end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent+(arrowhead_height)+y_offset), + (end_bp+dir_fac*(x_extent*scale), dir_fac*y_extent+y_offset), + (end_bp+dir_fac*x_extent*scale-dir_fac*arrowhead_length*scale, + dir_fac*y_extent-(arrowhead_height)+y_offset)], + facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_rbs (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based ribosome binding site renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.16,0.68,0.15) - y_offset = 0.0 - y_extent = 3.5 - x_extent = 10.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the RBS symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) - ax.add_line(l1) - c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) - ax.add_artist(c1) - # Shade the promoter area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based ribosome binding site renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.16,0.68,0.15) + y_offset = 0.0 + y_extent = 3.5 + x_extent = 10.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the RBS symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) + ax.add_line(l1) + c1 = Ellipse((start_bp,dir_fac*y_extent+y_offset),width=(x_extent*scale),height=y_extent*0.4,color=color, zorder=14+zorder_add) + ax.add_artist(c1) + # Shade the promoter area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=14+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_user_defined (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based user defined region renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - y_offset = 0.0 - y_extent = 1.5 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), - (start_bp, -y_extent+y_offset), - (end_bp-dir_fac*scale, -y_extent+y_offset), - (end_bp-dir_fac*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based user defined region renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + y_offset = 0.0 + y_extent = 1.5 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the CDS symbol + p1 = Polygon([(start_bp, y_extent+y_offset), + (start_bp, -y_extent+y_offset), + (end_bp-dir_fac*scale, -y_extent+y_offset), + (end_bp-dir_fac*scale, y_extent+y_offset)], + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_cds (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based coding sequence renderer. - """ - # Default options - zorder_add = 0.0 - color = (0.7,0.7,0.7) - hatch = '' - y_offset = 0.0 - y_extent = 1.5 - arrowhead_height = 1.0 - arrowhead_length = 30.0 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'hatch' in list(opts.keys()): - hatch = opts['hatch'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'arrowhead_height' in list(opts.keys()): - arrowhead_height = opts['arrowhead_height'] - if 'arrowhead_length' in list(opts.keys()): - arrowhead_length = opts['arrowhead_length'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the CDS symbol - p1 = Polygon([(start_bp, y_extent+y_offset), - (start_bp, -y_extent+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), - (end_bp, 0+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), - (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], - edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, - hatch=hatch, zorder=15+zorder_add, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p1) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based coding sequence renderer. + """ + # Default options + zorder_add = 0.0 + color = (0.7,0.7,0.7) + hatch = '' + y_offset = 0.0 + y_extent = 1.5 + arrowhead_height = 1.0 + arrowhead_length = 30.0 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'hatch' in list(opts.keys()): + hatch = opts['hatch'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'arrowhead_height' in list(opts.keys()): + arrowhead_height = opts['arrowhead_height'] + if 'arrowhead_length' in list(opts.keys()): + arrowhead_length = opts['arrowhead_length'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the CDS symbol + p1 = Polygon([(start_bp, y_extent+y_offset), + (start_bp, -y_extent+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, -y_extent+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, -y_extent-arrowhead_height+y_offset), + (end_bp, 0+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, y_extent+arrowhead_height+y_offset), + (end_bp-dir_fac*arrowhead_length*scale, y_extent+y_offset)], + edgecolor=(0.0,0.0,0.0), facecolor=color, linewidth=linewidth, + hatch=hatch, zorder=15+zorder_add, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p1) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidth, opts): - """ Built-in trace-based terminator renderer. - """ - # Default options - zorder_add = 0.0 - color = (1.0,0.0,0.0) - y_offset = 0.0 - y_extent = 3.5 - x_extent = 10.0 - highlight_y_extent = 0.8 - # Reset defaults if provided - if opts != None: - if 'zorder_add' in list(opts.keys()): - zorder_add = opts['zorder_add'] - if 'color' in list(opts.keys()): - color = opts['color'] - if 'y_offset' in list(opts.keys()): - y_offset = opts['y_offset'] - if 'y_extent' in list(opts.keys()): - y_extent = opts['y_extent'] - if 'x_extent' in list(opts.keys()): - x_extent = opts['x_extent'] - if 'highlight_y_extent' in list(opts.keys()): - highlight_y_extent = opts['highlight_y_extent'] - if 'linewidth' in list(opts.keys()): - linewidth = opts['linewidth'] - if 'scale' in list(opts.keys()): - scale = opts['scale'] - # Check direction add start padding - dir_fac = 1.0 - if start_bp > end_bp: - dir_fac = -1.0 - # Draw the terminator symbol - l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=8+zorder_add) - l2 = Line2D([start_bp-(x_extent*scale),start_bp+(x_extent*scale)],[dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) - ax.add_line(l1) - ax.add_line(l2) - # Shade the terminator area (normally smaller than symbol extent) - p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), - (start_bp, highlight_y_extent+y_offset), - (end_bp, highlight_y_extent+y_offset), - (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, - path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) - ax.add_patch(p2) - if opts != None and 'label' in list(opts.keys()): - if start_bp > end_bp: - write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) - else: - write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) - if start_bp > end_bp: - return end_bp, start_bp - else: - return start_bp, end_bp + """ Built-in trace-based terminator renderer. + """ + # Default options + zorder_add = 0.0 + color = (1.0,0.0,0.0) + y_offset = 0.0 + y_extent = 3.5 + x_extent = 10.0 + highlight_y_extent = 0.8 + # Reset defaults if provided + if opts != None: + if 'zorder_add' in list(opts.keys()): + zorder_add = opts['zorder_add'] + if 'color' in list(opts.keys()): + color = opts['color'] + if 'y_offset' in list(opts.keys()): + y_offset = opts['y_offset'] + if 'y_extent' in list(opts.keys()): + y_extent = opts['y_extent'] + if 'x_extent' in list(opts.keys()): + x_extent = opts['x_extent'] + if 'highlight_y_extent' in list(opts.keys()): + highlight_y_extent = opts['highlight_y_extent'] + if 'linewidth' in list(opts.keys()): + linewidth = opts['linewidth'] + if 'scale' in list(opts.keys()): + scale = opts['scale'] + # Check direction add start padding + dir_fac = 1.0 + if start_bp > end_bp: + dir_fac = -1.0 + # Draw the terminator symbol + l1 = Line2D([start_bp,start_bp],[0+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=8+zorder_add) + l2 = Line2D([start_bp-(x_extent*scale),start_bp+(x_extent*scale)],[dir_fac*y_extent+y_offset,dir_fac*y_extent+y_offset], linewidth=linewidth, color=color, zorder=14+zorder_add) + ax.add_line(l1) + ax.add_line(l2) + # Shade the terminator area (normally smaller than symbol extent) + p2 = Polygon([(start_bp, -highlight_y_extent+y_offset), + (start_bp, highlight_y_extent+y_offset), + (end_bp, highlight_y_extent+y_offset), + (end_bp, -highlight_y_extent+y_offset)], facecolor=color, edgecolor=color, linewidth=linewidth, zorder=13, + path_effects=[Stroke(joinstyle="miter")]) # This is a work around for matplotlib < 1.4.0) + ax.add_patch(p2) + if opts != None and 'label' in list(opts.keys()): + if start_bp > end_bp: + write_label(ax, opts['label'], end_bp+((start_bp-end_bp)/2.0), opts=opts) + else: + write_label(ax, opts['label'], start_bp+((end_bp-start_bp)/2.0), opts=opts) + if start_bp > end_bp: + return end_bp, start_bp + else: + return start_bp, end_bp ############################################################################### # The DNA renderer @@ -2873,433 +2872,433 @@ def trace_terminator (ax, type, num, start_bp, end_bp, prev_end, scale, linewidt class DNARenderer: - """ Class defining the DNA rendering funtionality. - """ - - # Standard part types - STD_PART_TYPES = ['Promoter', - 'Aptamer', - 'CDS', - 'Terminator', - 'RBS', - 'Scar', - 'Spacer', - 'EmptySpace', - 'RecombinaseSite', - 'RecombinaseSite2', - 'NCRNA', - 'Ribozyme', - 'Ribonuclease', - 'Protease', - 'DNACleavageSite', - 'RNACleavageSite', - 'ProteinCleavageSite', - 'DNALocation', - 'RNALocation', - 'ProteinLocation', - 'DNAStability', - 'RNAStability', - 'ProteinStability', - 'StemTop', - 'Operator', - 'Origin', - 'OriginOfTransfer', - 'Insulator', - '5Overhang', - '3Overhang', - 'RestrictionSite', - 'BluntRestrictionSite', - 'PrimerBindingSite', - '5StickyRestrictionSite', - '3StickyRestrictionSite', - 'UserDefined', - 'Signature'] - - # Standard regulatory types - STD_REG_TYPES = ['Repression', - 'Activation', - 'Connection', - 'Binding'] - - def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), - backbone_pad_left=0.0, backbone_pad_right=0.0): - """ Constructor to generate an empty DNARenderer. - - Parameters - ---------- - scale : float (default=1.0) - A scaling factor for the plot. Only used if rendering traces. - - linewidth : float (default=1.0) - The default linewidth for all part drawing. - - backbone_pad_left : float (default=0.0) - Padding to add to the left side of the backbone. - - backbone_pad_right : float (default=0.0) - Padding to add to the left side of the backbone. - """ - self.scale = scale - self.linewidth = linewidth - self.linecolor = linecolor - self.backbone_pad_left = backbone_pad_left - self.backbone_pad_right = backbone_pad_right - self.reg_height = 15 - - def SBOL_part_renderers (self): - """ Return dictionary of all standard built-in SBOL part renderers. - """ - return { - 'Promoter' :sbol_promoter, - 'Aptamer' :sbol_aptamer, - 'CDS' :sbol_cds, - 'Terminator' :sbol_terminator, - 'RBS' :sbol_rbs, - 'Scar' :sbol_scar, - 'Spacer' :sbol_spacer, - 'EmptySpace' :sbol_empty_space, - 'Ribozyme' :sbol_ribozyme, - 'NCRNA' :sbol_ncrna, - 'Ribonuclease' :sbol_stem_top, - 'RecombinaseSite' :sbol_recombinase1, - 'RecombinaseSite2' :sbol_recombinase2, - 'Protease' :sbol_stem_top, - 'DNACleavageSite' :sbol_stem_top, - 'RNACleavageSite' :sbol_stem_top, - 'ProteinCleavageSite':sbol_stem_top, - 'DNALocation' :sbol_stem_top, - 'RNALocation' :sbol_stem_top, - 'ProteinLocation' :sbol_stem_top, - 'DNAStability' :sbol_stem_top, - 'RNAStability' :sbol_stem_top, - 'ProteinStability' :sbol_stem_top, - 'StemTop' :sbol_stem_top, - 'Operator' :sbol_operator, - 'Origin' :sbol_origin, - 'OriginOfTransfer' :sbol_origin_of_transfer, - 'Insulator' :sbol_insulator, - '5Overhang' :sbol_5_overhang, - '3Overhang' :sbol_3_overhang, - 'RestrictionSite' :sbol_restriction_site, - 'BluntRestrictionSite' :sbol_blunt_restriction_site, - 'PrimerBindingSite' :sbol_primer_binding_site, - '5StickyRestrictionSite' :sbol_5_sticky_restriction_site, - '3StickyRestrictionSite' :sbol_3_sticky_restriction_site, - 'UserDefined' :sbol_user_defined, - 'Signature' :sbol_signature} - - def trace_part_renderers (self): - """ Return dictionary of all standard built-in trace part renderers. - """ - return { - 'Promoter' :trace_promoter, - 'CDS' :trace_cds, - 'Terminator' :trace_terminator, - 'RBS' :trace_rbs, - 'UserDefined' :trace_user_defined} - - def std_reg_renderers (self): - """ Return dictionary of all standard built-in regulation renderers. - """ - return { - 'Repression' :repress, - 'Activation' :induce, - 'Connection' :connect, - 'Binding':bound} - - def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False,circle_vheight=12): - """ Render the parts on the DNA and regulation. - - Parameters - ---------- - ax : matplotlib.axes - Axes to draw the design to. - - parts : list(dict) - The design to draw. This is a list of dicts, where each dict relates to - a part and must contain the following keys: - - name (string) - - type (string) - - fwd (bool) - - start (float, optional) - - end (float, optional) - These will then be drawn in accordance with the renders selected - - part_renderers : dict(functions) - Dict of functions where the key in the part type and the dictionary returns - the function to be used to draw that part type. - - regs : list(dict) (default=None) - Regulation present in the design. This is a list of dicts, where each dict - relates to a single regulation arc and must contain the following keys: - - type (string) - - from_part (part object dict) - - to_part (part object dict) - These will then be drawn in accordance with the renders selected. - - reg_renderers : dict(functions) (default=None) - Dict of functions where the key in the regulation type and the dictionary - returns the function to be used to draw that regulation type. - - Returns - ------- - start : float - The x-point in the axis space that drawing begins. - - end : float - The x-point in the axis space that drawing ends. - """ - # Update the matplotlib rendering default for drawing the parts (we want mitered edges) - matplotlib.rcParams['lines.dash_joinstyle'] = 'miter' - matplotlib.rcParams['lines.dash_capstyle'] = 'butt' - matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' - matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' - # Make text editable in Adobe Illustrator - matplotlib.rcParams['pdf.fonttype'] = 42 - # Plot the parts to the axis - part_num = 0 - prev_end = 0 - first_start = 0 - first_part = True - - for part in parts: - keys = list(part.keys()) - - # Check the part has minimal details required - if 'type' in keys: - if 'fwd' not in keys: - part['fwd'] = True - else: - pass - #if part['fwd'] == False: - #if('start' in keys): - # start = part['start'] - # end = part['end'] - # part['end'] = start - # part['start'] = end - if 'start' not in keys: - if part['fwd'] == True: - part['start'] = part_num - else: - part['start'] = part_num+1 - if 'end' not in keys: - if part['fwd'] == True: - part['end'] = part_num+1 - else: - part['end'] = part_num - # Extract custom part options (if available) - part_opts = None - if 'opts' in list(part.keys()): - part_opts = part['opts'] - # Use the correct renderer - if 'renderer' in list(part.keys()): - # Use custom renderer - prev_start, prev_end = part['renderer'](ax, part['type'], part_num, - part['start'], part['end'], prev_end, - self.scale, self.linewidth, - opts=part_opts) - - #update start,end for regulation - #part['start'] = prev_start - #part['end'] = prev_end - - if first_part == True: - first_start = prev_start - first_part = False - else: - # Use standard renderer, if one exists - if part['type'] in list(part_renderers.keys()): - prev_start, prev_end = part_renderers[part['type']](ax, - part['type'], part_num, - part['start'], part['end'], - prev_end, self.scale, - self.linewidth, opts=part_opts) - - #update start,end for regulation [TEG] - if part['fwd'] == True: - part['start'] = prev_start - part['end'] = prev_end - else: - part['start'] = prev_end - part['end'] = prev_start - - if first_part == True: - first_start = prev_start - first_part = False - part_num += 1 - - # first pass to get all of the arcranges - if regs != None: - - for reg in regs: - keys = list(reg.keys()) - - # Check the part has minimal details required - if 'type' in keys and 'from_part' in keys and 'to_part' in keys: - # Extract custom part options (if available) - - reg_opts = None - if 'opts' in list(reg.keys()): - reg_opts = reg['opts'] - - if reg['type'] in list(reg_renderers.keys()): - - ############################################################################## - arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - if(reg['from_part']==reg['to_part']): - arcend = arcstart+.1 - else: - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 - arcrange = [arcstart,arcend] - reg['arclength'] = math.fabs(arcstart-arcend) - reg['arc_height_index'] = 1 - ############################################################################## - - #sort regs by arc ranges from shortest to longest - regs.sort(key=lambda x: x['arclength'], reverse=False) - - reg_num = 0 - pos_arc_ranges = [] # arc above DNA backbone if to_part is fwd - neg_arc_ranges = [] # arc below DNA backbone if to_part is reverse - current_max = 1 - - # second pass to render all the arcs - for reg in regs: - keys = list(reg.keys()) - - # Check the part has minimal details required - if 'type' in keys and 'from_part' in keys and 'to_part' in keys: - # Extract custom part options (if available) - - reg_opts = None - if 'opts' in list(reg.keys()): - reg_opts = reg['opts'] - - if reg['type'] in list(reg_renderers.keys()): - - ############################################################################## - # arc height algorithm: greedy from left-to-right on DNA design - - arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 - if(reg['from_part']==reg['to_part']): - arcend = arcstart+.1 - else: - arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 - - arcmin = min(arcstart,arcend) - arcmax = max(arcstart,arcend) - arcrange = [arcmin,arcmax,reg['arc_height_index']] - arc_height_index = 1 - - # arc above if to_part is fwd - if(reg['to_part']['fwd'] == True): - # find max arc height index of ONLY the prior arcs that clash with the current arc - current_max = 1 - for r in pos_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - - # if arcs cross over, increment the arc height index - for r in pos_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - pos_arc_ranges.append(arcrange) - - # arc below if to_part is reverse - else: - # find max arc height index - current_max = 1 - for r in neg_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - if(r[2] > current_max): - current_max = r[2] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - if(r[2] > current_max): - current_max = r[2] - - # if arcs cross over, increment the arc height index - for r in neg_arc_ranges: - if (arcrange[0] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[0] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[0] and arcrange[0] < r[1]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - elif(arcrange[1] > r[1] and arcrange[0] < r[0]): - reg['arc_height_index'] = current_max + 1 - arcrange[2] = reg['arc_height_index'] - neg_arc_ranges.append(arcrange) - ############################################################################## - reg_renderers[reg['type']](ax, reg['type'], - reg_num, reg['from_part'], - reg['to_part'], self.scale, - self.linewidth, reg['arc_height_index'], opts=reg_opts) - reg_num += 1 - # Plot the backbone (z=1) - if plot_backbone == True: - if(circular): - circ_start = first_start-self.backbone_pad_left - circ_end = prev_end+self.backbone_pad_right - circle_vheight #this is the height of the oval. - curves = (circ_end-circ_start)*.1 #curves are 5% of the length, lengthwise - plasmid = FancyBboxPatch((circ_start-circle_vheight/2, -circle_vheight), \ - (circ_end-circ_start)+circle_vheight, circle_vheight,\ - fc="none",ec=self.linecolor, linewidth=self.linewidth, \ - boxstyle='round,pad=0,rounding_size={}'.format(circle_vheight/2), \ - joinstyle="round", capstyle='round',mutation_aspect=1, zorder=5) - ax.add_patch(plasmid) - first_start = first_start-circle_vheight/2 - prev_end = prev_end+circle_vheight/2 - else: - l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], - linewidth=self.linewidth, color=self.linecolor, zorder=5) - - ax.add_line(l1) - return first_start, prev_end - - def annotate (self, ax, part_renderers, part, annotate_zorder=1000): - """ Annotate a plot at a user specified location and offset. - """ - # Annotations show be placed on top of existing design - if 'opts' not in list(part.keys()): - part['opts'] = {'zorder_add': annotate_zorder} - else: - part['opts']['zorder_add'] = annotate_zorder - # Draw the part - part_renderers[part['type']](ax, - part['type'], 1, - part['start'], part['end'], - part['start'], self.scale, - self.linewidth, opts=part['opts']) + """ Class defining the DNA rendering funtionality. + """ + + # Standard part types + STD_PART_TYPES = ['Promoter', + 'Aptamer', + 'CDS', + 'Terminator', + 'RBS', + 'Scar', + 'Spacer', + 'EmptySpace', + 'RecombinaseSite', + 'RecombinaseSite2', + 'NCRNA', + 'Ribozyme', + 'Ribonuclease', + 'Protease', + 'DNACleavageSite', + 'RNACleavageSite', + 'ProteinCleavageSite', + 'DNALocation', + 'RNALocation', + 'ProteinLocation', + 'DNAStability', + 'RNAStability', + 'ProteinStability', + 'StemTop', + 'Operator', + 'Origin', + 'OriginOfTransfer', + 'Insulator', + '5Overhang', + '3Overhang', + 'RestrictionSite', + 'BluntRestrictionSite', + 'PrimerBindingSite', + '5StickyRestrictionSite', + '3StickyRestrictionSite', + 'UserDefined', + 'Signature'] + + # Standard regulatory types + STD_REG_TYPES = ['Repression', + 'Activation', + 'Connection', + 'Binding'] + + def __init__(self, scale=1.0, linewidth=1.0, linecolor=(0,0,0), + backbone_pad_left=0.0, backbone_pad_right=0.0): + """ Constructor to generate an empty DNARenderer. + + Parameters + ---------- + scale : float (default=1.0) + A scaling factor for the plot. Only used if rendering traces. + + linewidth : float (default=1.0) + The default linewidth for all part drawing. + + backbone_pad_left : float (default=0.0) + Padding to add to the left side of the backbone. + + backbone_pad_right : float (default=0.0) + Padding to add to the left side of the backbone. + """ + self.scale = scale + self.linewidth = linewidth + self.linecolor = linecolor + self.backbone_pad_left = backbone_pad_left + self.backbone_pad_right = backbone_pad_right + self.reg_height = 15 + + def SBOL_part_renderers (self): + """ Return dictionary of all standard built-in SBOL part renderers. + """ + return { + 'Promoter' :sbol_promoter, + 'Aptamer' :sbol_aptamer, + 'CDS' :sbol_cds, + 'Terminator' :sbol_terminator, + 'RBS' :sbol_rbs, + 'Scar' :sbol_scar, + 'Spacer' :sbol_spacer, + 'EmptySpace' :sbol_empty_space, + 'Ribozyme' :sbol_ribozyme, + 'NCRNA' :sbol_ncrna, + 'Ribonuclease' :sbol_stem_top, + 'RecombinaseSite' :sbol_recombinase1, + 'RecombinaseSite2' :sbol_recombinase2, + 'Protease' :sbol_stem_top, + 'DNACleavageSite' :sbol_stem_top, + 'RNACleavageSite' :sbol_stem_top, + 'ProteinCleavageSite':sbol_stem_top, + 'DNALocation' :sbol_stem_top, + 'RNALocation' :sbol_stem_top, + 'ProteinLocation' :sbol_stem_top, + 'DNAStability' :sbol_stem_top, + 'RNAStability' :sbol_stem_top, + 'ProteinStability' :sbol_stem_top, + 'StemTop' :sbol_stem_top, + 'Operator' :sbol_operator, + 'Origin' :sbol_origin, + 'OriginOfTransfer' :sbol_origin_of_transfer, + 'Insulator' :sbol_insulator, + '5Overhang' :sbol_5_overhang, + '3Overhang' :sbol_3_overhang, + 'RestrictionSite' :sbol_restriction_site, + 'BluntRestrictionSite' :sbol_blunt_restriction_site, + 'PrimerBindingSite' :sbol_primer_binding_site, + '5StickyRestrictionSite' :sbol_5_sticky_restriction_site, + '3StickyRestrictionSite' :sbol_3_sticky_restriction_site, + 'UserDefined' :sbol_user_defined, + 'Signature' :sbol_signature} + + def trace_part_renderers (self): + """ Return dictionary of all standard built-in trace part renderers. + """ + return { + 'Promoter' :trace_promoter, + 'CDS' :trace_cds, + 'Terminator' :trace_terminator, + 'RBS' :trace_rbs, + 'UserDefined' :trace_user_defined} + + def std_reg_renderers (self): + """ Return dictionary of all standard built-in regulation renderers. + """ + return { + 'Repression' :repress, + 'Activation' :induce, + 'Connection' :connect, + 'Binding':bound} + + def renderDNA (self, ax, parts, part_renderers, regs=None, reg_renderers=None, plot_backbone=True,circular=False,circle_vheight=12): + """ Render the parts on the DNA and regulation. + + Parameters + ---------- + ax : matplotlib.axes + Axes to draw the design to. + + parts : list(dict) + The design to draw. This is a list of dicts, where each dict relates to + a part and must contain the following keys: + - name (string) + - type (string) + - fwd (bool) + - start (float, optional) + - end (float, optional) + These will then be drawn in accordance with the renders selected + + part_renderers : dict(functions) + Dict of functions where the key in the part type and the dictionary returns + the function to be used to draw that part type. + + regs : list(dict) (default=None) + Regulation present in the design. This is a list of dicts, where each dict + relates to a single regulation arc and must contain the following keys: + - type (string) + - from_part (part object dict) + - to_part (part object dict) + These will then be drawn in accordance with the renders selected. + + reg_renderers : dict(functions) (default=None) + Dict of functions where the key in the regulation type and the dictionary + returns the function to be used to draw that regulation type. + + Returns + ------- + start : float + The x-point in the axis space that drawing begins. + + end : float + The x-point in the axis space that drawing ends. + """ + # Update the matplotlib rendering default for drawing the parts (we want mitered edges) + matplotlib.rcParams['lines.dash_joinstyle'] = 'miter' + matplotlib.rcParams['lines.dash_capstyle'] = 'butt' + matplotlib.rcParams['lines.solid_joinstyle'] = 'miter' + matplotlib.rcParams['lines.solid_capstyle'] = 'projecting' + # Make text editable in Adobe Illustrator + matplotlib.rcParams['pdf.fonttype'] = 42 + # Plot the parts to the axis + part_num = 0 + prev_end = 0 + first_start = 0 + first_part = True + + for part in parts: + keys = list(part.keys()) + + # Check the part has minimal details required + if 'type' in keys: + if 'fwd' not in keys: + part['fwd'] = True + else: + pass + #if part['fwd'] == False: + #if('start' in keys): + # start = part['start'] + # end = part['end'] + # part['end'] = start + # part['start'] = end + if 'start' not in keys: + if part['fwd'] == True: + part['start'] = part_num + else: + part['start'] = part_num+1 + if 'end' not in keys: + if part['fwd'] == True: + part['end'] = part_num+1 + else: + part['end'] = part_num + # Extract custom part options (if available) + part_opts = None + if 'opts' in list(part.keys()): + part_opts = part['opts'] + # Use the correct renderer + if 'renderer' in list(part.keys()): + # Use custom renderer + prev_start, prev_end = part['renderer'](ax, part['type'], part_num, + part['start'], part['end'], prev_end, + self.scale, self.linewidth, + opts=part_opts) + + #update start,end for regulation + #part['start'] = prev_start + #part['end'] = prev_end + + if first_part == True: + first_start = prev_start + first_part = False + else: + # Use standard renderer, if one exists + if part['type'] in list(part_renderers.keys()): + prev_start, prev_end = part_renderers[part['type']](ax, + part['type'], part_num, + part['start'], part['end'], + prev_end, self.scale, + self.linewidth, opts=part_opts) + + #update start,end for regulation [TEG] + if part['fwd'] == True: + part['start'] = prev_start + part['end'] = prev_end + else: + part['start'] = prev_end + part['end'] = prev_start + + if first_part == True: + first_start = prev_start + first_part = False + part_num += 1 + + # first pass to get all of the arcranges + if regs != None: + + for reg in regs: + keys = list(reg.keys()) + + # Check the part has minimal details required + if 'type' in keys and 'from_part' in keys and 'to_part' in keys: + # Extract custom part options (if available) + + reg_opts = None + if 'opts' in list(reg.keys()): + reg_opts = reg['opts'] + + if reg['type'] in list(reg_renderers.keys()): + + ############################################################################## + arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 + if(reg['from_part']==reg['to_part']): + arcend = arcstart+.1 + else: + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + arcrange = [arcstart,arcend] + reg['arclength'] = math.fabs(arcstart-arcend) + reg['arc_height_index'] = 1 + ############################################################################## + + #sort regs by arc ranges from shortest to longest + regs.sort(key=lambda x: x['arclength'], reverse=False) + + reg_num = 0 + pos_arc_ranges = [] # arc above DNA backbone if to_part is fwd + neg_arc_ranges = [] # arc below DNA backbone if to_part is reverse + current_max = 1 + + # second pass to render all the arcs + for reg in regs: + keys = list(reg.keys()) + + # Check the part has minimal details required + if 'type' in keys and 'from_part' in keys and 'to_part' in keys: + # Extract custom part options (if available) + + reg_opts = None + if 'opts' in list(reg.keys()): + reg_opts = reg['opts'] + + if reg['type'] in list(reg_renderers.keys()): + + ############################################################################## + # arc height algorithm: greedy from left-to-right on DNA design + + arcstart = (reg['from_part']['start'] + reg['from_part']['end']) / 2 + if(reg['from_part']==reg['to_part']): + arcend = arcstart+.1 + else: + arcend = (reg['to_part']['start'] + reg['to_part']['end']) / 2 + + arcmin = min(arcstart,arcend) + arcmax = max(arcstart,arcend) + arcrange = [arcmin,arcmax,reg['arc_height_index']] + arc_height_index = 1 + + # arc above if to_part is fwd + if(reg['to_part']['fwd'] == True): + # find max arc height index of ONLY the prior arcs that clash with the current arc + current_max = 1 + for r in pos_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + + # if arcs cross over, increment the arc height index + for r in pos_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + pos_arc_ranges.append(arcrange) + + # arc below if to_part is reverse + else: + # find max arc height index + current_max = 1 + for r in neg_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + if(r[2] > current_max): + current_max = r[2] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + if(r[2] > current_max): + current_max = r[2] + + # if arcs cross over, increment the arc height index + for r in neg_arc_ranges: + if (arcrange[0] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[0] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[0] and arcrange[0] < r[1]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + elif(arcrange[1] > r[1] and arcrange[0] < r[0]): + reg['arc_height_index'] = current_max + 1 + arcrange[2] = reg['arc_height_index'] + neg_arc_ranges.append(arcrange) + ############################################################################## + reg_renderers[reg['type']](ax, reg['type'], + reg_num, reg['from_part'], + reg['to_part'], self.scale, + self.linewidth, reg['arc_height_index'], opts=reg_opts) + reg_num += 1 + # Plot the backbone (z=1) + if plot_backbone == True: + if(circular): + circ_start = first_start-self.backbone_pad_left + circ_end = prev_end+self.backbone_pad_right + circle_vheight #this is the height of the oval. + curves = (circ_end-circ_start)*.1 #curves are 5% of the length, lengthwise + plasmid = FancyBboxPatch((circ_start-circle_vheight/2, -circle_vheight), \ + (circ_end-circ_start)+circle_vheight, circle_vheight,\ + fc="none",ec=self.linecolor, linewidth=self.linewidth, \ + boxstyle='round,pad=0,rounding_size={}'.format(circle_vheight/2), \ + joinstyle="round", capstyle='round',mutation_aspect=1, zorder=5) + ax.add_patch(plasmid) + first_start = first_start-circle_vheight/2 + prev_end = prev_end+circle_vheight/2 + else: + l1 = Line2D([first_start-self.backbone_pad_left,prev_end+self.backbone_pad_right],[0,0], + linewidth=self.linewidth, color=self.linecolor, zorder=5) + + ax.add_line(l1) + return first_start, prev_end + + def annotate (self, ax, part_renderers, part, annotate_zorder=1000): + """ Annotate a plot at a user specified location and offset. + """ + # Annotations show be placed on top of existing design + if 'opts' not in list(part.keys()): + part['opts'] = {'zorder_add': annotate_zorder} + else: + part['opts']['zorder_add'] = annotate_zorder + # Draw the part + part_renderers[part['type']](ax, + part['type'], 1, + part['start'], part['end'], + part['start'], self.scale, + self.linewidth, opts=part['opts']) ############################################################################### @@ -3308,142 +3307,142 @@ def annotate (self, ax, part_renderers, part, annotate_zorder=1000): def plot_sbol_designs (axes, dna_designs, regulations=None, plot_params={}, plot_names=None): - """ Plot SBOL designs to axes. - - Parameters - ---------- - axes : list(matplotlib.axis) - List of axis objects to plot the designs to. - - dna_designs : list(dict(design_information)) - List of designs to plot. - - regulations : list(dict(regulation_information)) (default=None) - List of regulations to use for each design. - - plot_params : dict (default={}) - General plotting parameters to use. - - plot_names : list(string) (default=None) - List of names to use on each plot. If None provided then no titles displayed. - - Returns - ------- - xlims : [float, float] - The x-axis range for each axis. - - ylims : [float, float] - The y-axis range for each axis. - """ - # Standard plotting parameters - if 'axis_y' not in list(plot_params.keys()): - plot_params['axis_y'] = 35 - left_pad = 0.0 - right_pad = 0.0 - scale = 1.0 - linewidth = 1.0 - fig_y = 5.0 - fig_x = 5.0 - if 'backbone_pad_left' in list(plot_params.keys()): - left_pad = plot_params['backbone_pad_left'] - if 'backbone_pad_right' in list(plot_params.keys()): - right_pad = plot_params['backbone_pad_right'] - if 'scale' in list(plot_params.keys()): - scale = plot_params['scale'] - if 'linewidth' in list(plot_params.keys()): - linewidth = plot_params['linewidth'] - dr = DNARenderer(scale=scale, linewidth=linewidth, - backbone_pad_left=left_pad, - backbone_pad_right=right_pad) - - # We default to the standard regulation renderers - reg_renderers = dr.std_reg_renderers() - # We default to the SBOL part renderers - part_renderers = dr.SBOL_part_renderers() - - # Plot each design on the appropriate axis - num_of_designs = len(dna_designs) - max_dna_len = 0.0 - for i in range(num_of_designs): - - # Create axis for the design and plot - regs = None - if(regulations != None): - regs = regulations[i] - design = dna_designs[i] - ax = axes[i] - - if plot_names != None: - ax.set_title(plot_names[i], fontsize=8) - - start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) - - dna_len = end-start - if max_dna_len < dna_len: - max_dna_len = dna_len - - # Update formatting and resize all axis in similar way - for ax in axes: - ax.set_xticks([]) - ax.set_yticks([]) - # Set bounds - ax.set_xlim([(-0.01*max_dna_len)-left_pad, - max_dna_len+(0.01*max_dna_len)+right_pad]) - ax.set_ylim([-plot_params['axis_y'],plot_params['axis_y']]) - ax.set_aspect('equal') - ax.set_axis_off() - - # xlims, ylims are returned - return max_dna_len, [(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad], [-plot_params['axis_y'],plot_params['axis_y']] + """ Plot SBOL designs to axes. + + Parameters + ---------- + axes : list(matplotlib.axis) + List of axis objects to plot the designs to. + + dna_designs : list(dict(design_information)) + List of designs to plot. + + regulations : list(dict(regulation_information)) (default=None) + List of regulations to use for each design. + + plot_params : dict (default={}) + General plotting parameters to use. + + plot_names : list(string) (default=None) + List of names to use on each plot. If None provided then no titles displayed. + + Returns + ------- + xlims : [float, float] + The x-axis range for each axis. + + ylims : [float, float] + The y-axis range for each axis. + """ + # Standard plotting parameters + if 'axis_y' not in list(plot_params.keys()): + plot_params['axis_y'] = 35 + left_pad = 0.0 + right_pad = 0.0 + scale = 1.0 + linewidth = 1.0 + fig_y = 5.0 + fig_x = 5.0 + if 'backbone_pad_left' in list(plot_params.keys()): + left_pad = plot_params['backbone_pad_left'] + if 'backbone_pad_right' in list(plot_params.keys()): + right_pad = plot_params['backbone_pad_right'] + if 'scale' in list(plot_params.keys()): + scale = plot_params['scale'] + if 'linewidth' in list(plot_params.keys()): + linewidth = plot_params['linewidth'] + dr = DNARenderer(scale=scale, linewidth=linewidth, + backbone_pad_left=left_pad, + backbone_pad_right=right_pad) + + # We default to the standard regulation renderers + reg_renderers = dr.std_reg_renderers() + # We default to the SBOL part renderers + part_renderers = dr.SBOL_part_renderers() + + # Plot each design on the appropriate axis + num_of_designs = len(dna_designs) + max_dna_len = 0.0 + for i in range(num_of_designs): + + # Create axis for the design and plot + regs = None + if(regulations != None): + regs = regulations[i] + design = dna_designs[i] + ax = axes[i] + + if plot_names != None: + ax.set_title(plot_names[i], fontsize=8) + + start, end = dr.renderDNA(ax, design, part_renderers, regs, reg_renderers) + + dna_len = end-start + if max_dna_len < dna_len: + max_dna_len = dna_len + + # Update formatting and resize all axis in similar way + for ax in axes: + ax.set_xticks([]) + ax.set_yticks([]) + # Set bounds + ax.set_xlim([(-0.01*max_dna_len)-left_pad, + max_dna_len+(0.01*max_dna_len)+right_pad]) + ax.set_ylim([-plot_params['axis_y'],plot_params['axis_y']]) + ax.set_aspect('equal') + ax.set_axis_off() + + # xlims, ylims are returned + return max_dna_len, [(-0.01*max_dna_len)-left_pad, max_dna_len+(0.01*max_dna_len)+right_pad], [-plot_params['axis_y'],plot_params['axis_y']] def save_sbol_designs (filename, dna_designs, regulations=None, plot_params={}, plot_names=None): - """ Plot SBOL designs to axes. + """ Plot SBOL designs to axes. - Parameters - ---------- - filename : string - Image filename to save designs to. Extention provided will determine format - and must be supported by matplotlib. + Parameters + ---------- + filename : string + Image filename to save designs to. Extention provided will determine format + and must be supported by matplotlib. - dna_designs : list(dict(design_information)) - List of designs to plot. + dna_designs : list(dict(design_information)) + List of designs to plot. - regulations : list(dict(regulation_information)) (default=None) - List of regulations to use for each design. + regulations : list(dict(regulation_information)) (default=None) + List of regulations to use for each design. - plot_params : dict (default={}) - General plotting parameters to use. + plot_params : dict (default={}) + General plotting parameters to use. - plot_names : list(string) (default=None) - List of names to use on each plot. If None provided then no titles displayed. - """ + plot_names : list(string) (default=None) + List of names to use on each plot. If None provided then no titles displayed. + """ - # Create the figure - fig = plt.figure(figsize=(10,10)) - fig.patch.set_facecolor('white') + # Create the figure + fig = plt.figure(figsize=(10,10)) + fig.patch.set_facecolor('white') - # Create all the axes required - axes = [] - for i in range(len(dna_designs)): - ax = fig.add_subplot(len(dna_designs),1,i+1, axisbg='white') - axes.append(ax) + # Create all the axes required + axes = [] + for i in range(len(dna_designs)): + ax = fig.add_subplot(len(dna_designs),1,i+1, axisbg='white') + axes.append(ax) - # Plot design to the axes - max_dna_len, lims, params = plot_sbol_designs (axes, dna_designs, regulations=regulations, plot_params=plot_params, plot_names=plot_names) + # Plot design to the axes + max_dna_len, lims, params = plot_sbol_designs (axes, dna_designs, regulations=regulations, plot_params=plot_params, plot_names=plot_names) - # Update the size of the figure to fit the constructs drawn - fig_x_dim = max_dna_len/70.0 - if fig_x_dim < 1.0: - fig_x_dim = 1.0 - fig_y_dim = 1.2*len(axes) - plt.gcf().set_size_inches( (fig_x_dim, fig_y_dim) ) + # Update the size of the figure to fit the constructs drawn + fig_x_dim = max_dna_len/70.0 + if fig_x_dim < 1.0: + fig_x_dim = 1.0 + fig_y_dim = 1.2*len(axes) + plt.gcf().set_size_inches( (fig_x_dim, fig_y_dim) ) - # Save the figure - plt.tight_layout() - fig.savefig(filename, transparent=True, dpi=300) - # Clear the plotting cache - plt.close('all') + # Save the figure + plt.tight_layout() + fig.savefig(filename, transparent=True, dpi=300) + # Clear the plotting cache + plt.close('all') ############################################################################### @@ -3452,29 +3451,29 @@ def save_sbol_designs (filename, dna_designs, regulations=None, plot_params={}, def convert_attrib (attrib): - if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 3: - col_parts = attrib[1:-1].split(',') - new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2])) - return new_col - if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 4: - col_parts = attrib[1:-1].split(',') - new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2]), float(col_parts[3])) - return new_col - try: - # See if a number - return float(attrib) - except ValueError: - # Must be a string - return attrib + if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 3: + col_parts = attrib[1:-1].split(',') + new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2])) + return new_col + if attrib[0] == '(' and attrib[-1] == ')' and len(attrib.split(',')) == 4: + col_parts = attrib[1:-1].split(',') + new_col = (float(col_parts[0]), float(col_parts[1]), float(col_parts[2]), float(col_parts[3])) + return new_col + try: + # See if a number + return float(attrib) + except ValueError: + # Must be a string + return attrib dpl_default_type_map = {'gene': 'CDS', - 'promoter': 'Promoter', - 'terminator': 'Terminator', - 'rbs': 'RBS'} + 'promoter': 'Promoter', + 'terminator': 'Terminator', + 'rbs': 'RBS'} def simple_plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap ='Set3',cmap2 = 'Set2',ax=None,\ - part_renderers=None,circular=False,ylift=-12,simplereg = None,regs=None,reg_renderers=None,\ + dna_renderer=None,circular=False,ylift=-12,simplereg = None,regs=None,reg_renderers=None,\ linewidth=3,edgecolor = (1,.2,.2)): """a simpler way to plot a construct. simple_design: list of "SimplePart" objects, containing @@ -3496,6 +3495,10 @@ def simple_plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap = color_count = 0 design_list = [] annotate_list = [] + if(dna_renderer is None): + dr = DNARenderer(scale = 5,linewidth=linewidth,linecolor=edgecolor) + else: + dr = dna_renderer for part in simple_design: part_dict = {'type':part.dpl_type, 'name':'test', 'fwd':'forward'==part.direction,\ 'opts':{'label':part.name,'label_size':label_size,'label_y_offset':label_y_offset,\ @@ -3506,9 +3509,7 @@ def simple_plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap = if(color_count >= len(cmap_obj) or color_count >= len(cmap2_obj)): color_count = 0 design_list += [part_dict] - if(part_renderers is None): - dr = DNARenderer(scale = 5,linewidth=linewidth,linecolor=edgecolor) - part_renderers = dr.SBOL_part_renderers() + part_renderers = dr.SBOL_part_renderers() if(ax is None): figsize = (len(design_list)*.75,1.6) @@ -3573,57 +3574,57 @@ def simple_plot_design(simple_design,label_size = 13, label_y_offset = -8,cmap = return ax def load_design_from_gff (filename, chrom, type_map=dpl_default_type_map, region=None): - # Load the GFF data - gff = [] - data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') - for row in data_reader: - if len(row) == 9: - cur_chrom = row[0] - part_type = row[2] - start_bp = int(row[3]) - end_bp = int(row[4]) - part_dir = row[6] - part_attribs = {} - split_attribs = row[8].split(';') - part_name = None - for attrib in split_attribs: - key_value = attrib.split('=') - if len(key_value) == 2: - if key_value[0] == 'Name': - part_name = key_value[1] - else: - part_attribs[key_value[0]] = convert_attrib(key_value[1]) - if part_name != None and cur_chrom == chrom and part_type in list(type_map.keys()): - # Check feature start falls in region - if region != None and (start_bp > region[0] and start_bp < region[1]): - gff.append([part_name, type_map[part_type], part_dir, start_bp, end_bp, part_attribs]) - # Convert to DNAplotlib design (sort on start position first) - design = [] - for gff_el in sorted(gff, key=itemgetter(3)): - new_part = {} - new_part['name'] = gff_el[0] - new_part['type'] = gff_el[1] - if gff_el[2] == '+': - new_part['fwd'] = True - else: - new_part['fwd'] = False - new_part['start'] = gff_el[3] - new_part['end'] = gff_el[4] - new_part['opts'] = gff_el[5] - design.append(new_part) - # Return the sorted design - return design + # Load the GFF data + gff = [] + data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') + for row in data_reader: + if len(row) == 9: + cur_chrom = row[0] + part_type = row[2] + start_bp = int(row[3]) + end_bp = int(row[4]) + part_dir = row[6] + part_attribs = {} + split_attribs = row[8].split(';') + part_name = None + for attrib in split_attribs: + key_value = attrib.split('=') + if len(key_value) == 2: + if key_value[0] == 'Name': + part_name = key_value[1] + else: + part_attribs[key_value[0]] = convert_attrib(key_value[1]) + if part_name != None and cur_chrom == chrom and part_type in list(type_map.keys()): + # Check feature start falls in region + if region != None and (start_bp > region[0] and start_bp < region[1]): + gff.append([part_name, type_map[part_type], part_dir, start_bp, end_bp, part_attribs]) + # Convert to DNAplotlib design (sort on start position first) + design = [] + for gff_el in sorted(gff, key=itemgetter(3)): + new_part = {} + new_part['name'] = gff_el[0] + new_part['type'] = gff_el[1] + if gff_el[2] == '+': + new_part['fwd'] = True + else: + new_part['fwd'] = False + new_part['start'] = gff_el[3] + new_part['end'] = gff_el[4] + new_part['opts'] = gff_el[5] + design.append(new_part) + # Return the sorted design + return design def load_profile_from_bed (filename, chrom, region): - region_len = region[1]-region[0] - profile = [0]*region_len - data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') - for row in data_reader: - if len(row) == 5: - cur_chrom = row[0] - cur_start_bp = int(row[1]) - cur_end_bp = int(row[2]) - if cur_start_bp == region[0] and cur_end_bp == region[1]: - profile[int(row[3])-1] = float(row[4]) - return profile + region_len = region[1]-region[0] + profile = [0]*region_len + data_reader = csv.reader(open(filename, 'rU'), delimiter='\t') + for row in data_reader: + if len(row) == 5: + cur_chrom = row[0] + cur_start_bp = int(row[1]) + cur_end_bp = int(row[2]) + if cur_start_bp == region[0] and cur_end_bp == region[1]: + profile[int(row[3])-1] = float(row[4]) + return profile diff --git a/gallery/notebooks/interactiveplot.ipynb b/gallery/notebooks/interactiveplot.ipynb index 277de2a..bb97371 100644 --- a/gallery/notebooks/interactiveplot.ipynb +++ b/gallery/notebooks/interactiveplot.ipynb @@ -86,7 +86,7 @@ "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { @@ -135,7 +135,7 @@ "\n", "simple_arc = {'Binding':[[1,\"RNAP\"],[2,\"A\"],[2,\"B\"],[7,\"Bxb1\"],[5,\"Bxb1\"]]}\n", "\n", - "a = simple_plot_design([aL,prom,utr,cds,term,cds,cds,cds,cds,cds,cds,cds],simplereg = {},circular=True)\n", + "a = dpl.simple_plot_design([aL,prom,utr,cds,term,cds,cds,cds,cds,cds,cds,cds],simplereg = {},circular=True)\n", "\n" ] },