diff --git a/.gitignore b/.gitignore index 01b9af6..84a745a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,5 @@ -src/test.py -src/biograpy/tests/*.png -src/biograpy/tests/*.svg -src/biograpy/tests/*.pdf -src/biograpy/tests/*.jpg +tests/*.png +tests/*.svg +tests/*.pdf +tests/*.jpg .DS_Store diff --git a/README.md b/README.md new file mode 100644 index 0000000..f396c99 --- /dev/null +++ b/README.md @@ -0,0 +1,114 @@ +BioGraPy - Biological Graphical Library in Python +================================================= + +Fork that adds support to plot the tracks below an existing figure, and adds some new features to draw such as text sequence with automatic font size and highlighted text. + +```python +import matplotlib +import matplotlib.pyplot as plt +from matplotlib.font_manager import FontProperties +import numpy as np + +import biograpy +from Bio.SeqFeature import SeqFeature, FeatureLocation +from Bio.Seq import Seq + + +fig1, ax = plt.subplots(figsize=(10,3), dpi=300) + +ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200)) +ax.set_xlim([0,1200]) +ax.set_ylim([0,2]) + +# We use the package biograpy to create Panel, tracks, and features +panel = biograpy.Panel(fig1) +track = biograpy.tracks.BaseTrack() + +# Simple feature drawn as a rectangle +track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300)) + +# Gene feature drawn as an arrow +genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1) +track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1')) + +# Simple feature with color +track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r')) + +# Gene feature with color +track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r')) + +# Very short gene feature (to test the arrow head automatic sizing) +genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1) +track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short')) + +# mRNA with one CDS drawn as a shaded rectangle with an arrow on top +CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1) +mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1) +mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandm', ec='k') +track.add_feature(mRNAandCDSfeat) + +# mRNA with CDS, custom color +CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1) +mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1) +mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r') +track.add_feature(mRNAandCDSfeat) + +# Very short mRNA with CDS (to test the arrow head automatic sizing) +CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1) +mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1) +mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_very_short') +track.add_feature(mRNAandCDSfeat) + +# Gene feature on minus strand +geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1) +genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm') +track.add_feature(genefeat) + +track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80)) + +panel.add_track(track) +panel.add_track(track2) +panel._draw_tracks() +panel.save('biograpy_test1.png') +``` + +![example1](/examples/biograpy_test1.png) + +```python +fig1, ax = plt.subplots(figsize=(11,3), dpi=400) + +ax.scatter(x=list(range(0, 100)), y=np.random.random(100)) +ax.set_xlim([0,100]) +ax.set_ylim([0,2]) + +# Create panel and track +panel = biograpy.Panel(fig1) +track = biograpy.tracks.BaseTrack() + +# Text sequence feature +track.add_feature(biograpy.features.TextSequence( + 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL', + start=10, name="TextSequence1")) + +""" +Pretty text sequence feature allows to pass a text sequence together with a list of regions +to highlight. The font size is calculated automatically to fit the scale of the x axis. +""" + +prettyTextFeat = biograpy.features.PrettyTextSequence( + 'KSKDFQVNAYDRNMKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY', + highlightList=[{'start':0, 'end':10, 'background_color':'red', 'background_color_alpha':0.4, 'weight':900}, + {'start':20, 'end':25, 'foreground_color':'blue', 'weight':100} + ], + start=20, name='PrettyTextSequence1') +track.add_feature(prettyTextFeat) + +panel.add_track(track) +panel.save('biograpy_test2.png') +panel._draw_tracks() +``` + +![example1](/examples/biograpy_test2.png) \ No newline at end of file diff --git a/README.txt b/README.txt deleted file mode 100644 index b5a5d19..0000000 --- a/README.txt +++ /dev/null @@ -1,61 +0,0 @@ -BioGraPy - Biological Graphical Library in Python -================================================= - - -Quick examples ------------------------------------------- - -Simple test - - >>> from biograpy import Panel, tracks, features - >>> panel=Panel(fig_width=1000,fig_dpi=100)#initialize a drawer - >>> test_track = tracks.BaseTrack(name = 'test') - -Create 5 graphicfeatures - - >>> feat1=features.Simple(name='feat1',start=100,end=756,fc='r',aplha=0.5,height=1) - >>> feat2=features.Simple(name='feat2',start=300,end=1056,fc='pink',aplha=0.5,height=1) - >>> feat3=features.Simple(name='feat3',start=600,end=1356,fc='y',aplha=0.5,height=1) - >>> feat4=features.Simple(name='feat4',start=800,end=1356,fc='g',aplha=0.5,height=1) - >>> feat5=features.Simple(name='feat5',start= 1357,end=1806,fc='b',aplha=0.5,height=1) - -Add the features to the track:: - - >>> test_track.append(feat1) - >>> test_track.append(feat2) - >>> test_track.append(feat3) - >>> test_track.append(feat4) - >>> test_track.append(feat5) - -Add the track to the panel:: - - >>> panel.add_track(test_track) - -Save the drawn image in PDF format:: - - >>> panel.save('test.pdf') - - -or in short, using default styles, and saving as PNG:: - - >>> from biograpy import Panel, tracks, features - >>> panel=Panel(fig_width=1000)#initialize a drawer - >>> test_track = tracks.BaseTrack(features.Simple(name='feat1',start=100,end=756,), - features.Simple(name='feat2',start=300,end=1056,), - features.Simple(name='feat3',start=600,end=1356,), - features.Simple(name='feat4',start=800,end=1356,), - features.Simple(name='feat5',start= 1357,end=1806,), - name = 'test') - >>> panel.add_track(test_track) - >>> panel.save('test.png') - - - - -draw a SeqRecord - - >>> from biograpy.seqrecord import SeqRecordDrawer - >>> from Bio import SeqIO - >>> seqrec = SeqIO.read(open('biograpy/tests/test_uniprot.xml'),'uniprot-xml') - >>> grseqrec = SeqRecordDrawer(seqrec) - >>> grseqrec.save('biograpy/tests/test_uniprot.svg') diff --git a/_config.yml b/_config.yml new file mode 100644 index 0000000..c419263 --- /dev/null +++ b/_config.yml @@ -0,0 +1 @@ +theme: jekyll-theme-cayman \ No newline at end of file diff --git a/biograpy.egg-info/PKG-INFO b/biograpy.egg-info/PKG-INFO new file mode 100644 index 0000000..7de8150 --- /dev/null +++ b/biograpy.egg-info/PKG-INFO @@ -0,0 +1,187 @@ +Metadata-Version: 1.1 +Name: biograpy +Version: 1.1.dev0 +Summary: UNKNOWN +Home-page: UNKNOWN +Author: Andrea Pierleoni +Author-email: apierleoni.dev@gmail.com +License: LGPL +Description: BioGraPy - Biological Graphical Library in Python + ================================================= + + Fork that adds support to plot the tracks below an existing figure, and adds some new features to draw such as text sequence with automatic font size and highlighted text. + + ```python + import matplotlib + import matplotlib.pyplot as plt + from matplotlib.font_manager import FontProperties + import numpy as np + + import biograpy + from Bio.SeqFeature import SeqFeature, FeatureLocation + from Bio.Seq import Seq + + + fig1, ax = plt.subplots(figsize=(10,3), dpi=300) + + ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200)) + ax.set_xlim([0,1200]) + ax.set_ylim([0,2]) + + # We use the package biograpy to create Panel, tracks, and features + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + # Simple feature drawn as a rectangle + track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300)) + + # Gene feature drawn as an arrow + genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1')) + + # Simple feature with color + track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r')) + + # Gene feature with color + track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r')) + + # Very short gene feature (to test the arrow head automatic sizing) + genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short')) + + # mRNA with one CDS drawn as a shaded rectangle with an arrow on top + CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1) + mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandm', ec='k') + track.add_feature(mRNAandCDSfeat) + + # mRNA with CDS, custom color + CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r') + track.add_feature(mRNAandCDSfeat) + + # Very short mRNA with CDS (to test the arrow head automatic sizing) + CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_very_short') + track.add_feature(mRNAandCDSfeat) + + # Gene feature on minus strand + geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1) + genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm') + track.add_feature(genefeat) + + track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80)) + + panel.add_track(track) + panel.add_track(track2) + panel._draw_tracks() + panel.save('biograpy_test1.png') + ``` + + ![example1](/examples/biograpy_test1.png) + + ```python + fig1, ax = plt.subplots(figsize=(11,3), dpi=400) + + ax.scatter(x=list(range(0, 100)), y=np.random.random(100)) + ax.set_xlim([0,100]) + ax.set_ylim([0,2]) + + # Create panel and track + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + # Text sequence feature + track.add_feature(biograpy.features.TextSequence( + 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL', + start=10, name="TextSequence1")) + + """ + Pretty text sequence feature allows to pass a text sequence together with a list of regions + to highlight. The font size is calculated automatically to fit the scale of the x axis. + """ + + prettyTextFeat = biograpy.features.PrettyTextSequence( + 'KSKDFQVNAYDRNMKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY', + highlightList=[{'start':0, 'end':10, 'background_color':'red', 'background_color_alpha':0.4, 'weight':900}, + {'start':20, 'end':25, 'foreground_color':'blue', 'weight':100} + ], + start=20, name='PrettyTextSequence1') + track.add_feature(prettyTextFeat) + + panel.add_track(track) + panel.save('biograpy_test2.png') + panel._draw_tracks() + ``` + + ![example1](/examples/biograpy_test2.png) + .. _history: + + Changelog + ========= + + 1.1 alpha + --------------------- + - Added novel feature types: PrettyTextSequence, CoupledmRNAandCDS + - Added option of drawing the panel below an existing matplotlib figure + + 1.0 beta + --------------------- + + - Completed API documentation. + - Bug fix + + 1.0 alpha + --------------------- + Major revision + + - Added novel feature type: PlotFeature, BarPlotFeature + TextSequence + - Added colorbars + - Can now use sequence as X tick labels + - Improved track and figure positioning + - Added per-letter annotation support + - Added url in SVG as alternative to + HTML maps + - Added legend for tracks + - Many bug fix and minor improvements + + 0.3 (released) + --------------------- + + - changed namespace to biograpy + - Public release + + 0.2 (unreleased) + --------------------- + + - boxes and imagemap [mauro] + + 0.1 (unreleased) + --------------------- + + - Initial draft + + + + .. _authors: + + ======= + AUTHORS + ======= + + * Andrea Pierleoni + + ============ + CONTRIBUTORS + ============ + + * Mauro Amico + * Marc Weber +Platform: UNKNOWN +Classifier: Programming Language :: Python diff --git a/biograpy.egg-info/SOURCES.txt b/biograpy.egg-info/SOURCES.txt new file mode 100644 index 0000000..be2b673 --- /dev/null +++ b/biograpy.egg-info/SOURCES.txt @@ -0,0 +1,16 @@ +README.md +setup.cfg +setup.py +biograpy/__init__.py +biograpy/drawer.py +biograpy/features.py +biograpy/seqrecord.py +biograpy/tracks.py +biograpy.egg-info/PKG-INFO +biograpy.egg-info/SOURCES.txt +biograpy.egg-info/dependency_links.txt +biograpy.egg-info/entry_points.txt +biograpy.egg-info/namespace_packages.txt +biograpy.egg-info/not-zip-safe +biograpy.egg-info/requires.txt +biograpy.egg-info/top_level.txt \ No newline at end of file diff --git a/biograpy.egg-info/dependency_links.txt b/biograpy.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/biograpy.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/biograpy.egg-info/entry_points.txt b/biograpy.egg-info/entry_points.txt new file mode 100644 index 0000000..5d3e5f6 --- /dev/null +++ b/biograpy.egg-info/entry_points.txt @@ -0,0 +1,3 @@ + + # -*- Entry points: -*- + \ No newline at end of file diff --git a/biograpy.egg-info/namespace_packages.txt b/biograpy.egg-info/namespace_packages.txt new file mode 100644 index 0000000..26f19da --- /dev/null +++ b/biograpy.egg-info/namespace_packages.txt @@ -0,0 +1 @@ +biograpy diff --git a/biograpy.egg-info/not-zip-safe b/biograpy.egg-info/not-zip-safe new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/biograpy.egg-info/not-zip-safe @@ -0,0 +1 @@ + diff --git a/biograpy.egg-info/requires.txt b/biograpy.egg-info/requires.txt new file mode 100644 index 0000000..5256e92 --- /dev/null +++ b/biograpy.egg-info/requires.txt @@ -0,0 +1,4 @@ +setuptools +biopython +matplotlib>=2.0.0 +numpy>=1.1 diff --git a/biograpy.egg-info/top_level.txt b/biograpy.egg-info/top_level.txt new file mode 100644 index 0000000..26f19da --- /dev/null +++ b/biograpy.egg-info/top_level.txt @@ -0,0 +1 @@ +biograpy diff --git a/biograpy/__init__.py b/biograpy/__init__.py new file mode 100644 index 0000000..5b5a7fb --- /dev/null +++ b/biograpy/__init__.py @@ -0,0 +1,4 @@ +from .drawer import Panel +from .seqrecord import SeqRecordDrawer, SliceSeqRec + +__import__('pkg_resources').declare_namespace(__name__) diff --git a/biograpy/biograpy.egg-info/PKG-INFO b/biograpy/biograpy.egg-info/PKG-INFO new file mode 100644 index 0000000..7de8150 --- /dev/null +++ b/biograpy/biograpy.egg-info/PKG-INFO @@ -0,0 +1,187 @@ +Metadata-Version: 1.1 +Name: biograpy +Version: 1.1.dev0 +Summary: UNKNOWN +Home-page: UNKNOWN +Author: Andrea Pierleoni +Author-email: apierleoni.dev@gmail.com +License: LGPL +Description: BioGraPy - Biological Graphical Library in Python + ================================================= + + Fork that adds support to plot the tracks below an existing figure, and adds some new features to draw such as text sequence with automatic font size and highlighted text. + + ```python + import matplotlib + import matplotlib.pyplot as plt + from matplotlib.font_manager import FontProperties + import numpy as np + + import biograpy + from Bio.SeqFeature import SeqFeature, FeatureLocation + from Bio.Seq import Seq + + + fig1, ax = plt.subplots(figsize=(10,3), dpi=300) + + ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200)) + ax.set_xlim([0,1200]) + ax.set_ylim([0,2]) + + # We use the package biograpy to create Panel, tracks, and features + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + # Simple feature drawn as a rectangle + track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300)) + + # Gene feature drawn as an arrow + genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1')) + + # Simple feature with color + track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r')) + + # Gene feature with color + track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r')) + + # Very short gene feature (to test the arrow head automatic sizing) + genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short')) + + # mRNA with one CDS drawn as a shaded rectangle with an arrow on top + CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1) + mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandm', ec='k') + track.add_feature(mRNAandCDSfeat) + + # mRNA with CDS, custom color + CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r') + track.add_feature(mRNAandCDSfeat) + + # Very short mRNA with CDS (to test the arrow head automatic sizing) + CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, + name='CoupledmRNAandCDS1_very_short') + track.add_feature(mRNAandCDSfeat) + + # Gene feature on minus strand + geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1) + genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm') + track.add_feature(genefeat) + + track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80)) + + panel.add_track(track) + panel.add_track(track2) + panel._draw_tracks() + panel.save('biograpy_test1.png') + ``` + + ![example1](/examples/biograpy_test1.png) + + ```python + fig1, ax = plt.subplots(figsize=(11,3), dpi=400) + + ax.scatter(x=list(range(0, 100)), y=np.random.random(100)) + ax.set_xlim([0,100]) + ax.set_ylim([0,2]) + + # Create panel and track + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + # Text sequence feature + track.add_feature(biograpy.features.TextSequence( + 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL', + start=10, name="TextSequence1")) + + """ + Pretty text sequence feature allows to pass a text sequence together with a list of regions + to highlight. The font size is calculated automatically to fit the scale of the x axis. + """ + + prettyTextFeat = biograpy.features.PrettyTextSequence( + 'KSKDFQVNAYDRNMKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY', + highlightList=[{'start':0, 'end':10, 'background_color':'red', 'background_color_alpha':0.4, 'weight':900}, + {'start':20, 'end':25, 'foreground_color':'blue', 'weight':100} + ], + start=20, name='PrettyTextSequence1') + track.add_feature(prettyTextFeat) + + panel.add_track(track) + panel.save('biograpy_test2.png') + panel._draw_tracks() + ``` + + ![example1](/examples/biograpy_test2.png) + .. _history: + + Changelog + ========= + + 1.1 alpha + --------------------- + - Added novel feature types: PrettyTextSequence, CoupledmRNAandCDS + - Added option of drawing the panel below an existing matplotlib figure + + 1.0 beta + --------------------- + + - Completed API documentation. + - Bug fix + + 1.0 alpha + --------------------- + Major revision + + - Added novel feature type: PlotFeature, BarPlotFeature + TextSequence + - Added colorbars + - Can now use sequence as X tick labels + - Improved track and figure positioning + - Added per-letter annotation support + - Added url in SVG as alternative to + HTML maps + - Added legend for tracks + - Many bug fix and minor improvements + + 0.3 (released) + --------------------- + + - changed namespace to biograpy + - Public release + + 0.2 (unreleased) + --------------------- + + - boxes and imagemap [mauro] + + 0.1 (unreleased) + --------------------- + + - Initial draft + + + + .. _authors: + + ======= + AUTHORS + ======= + + * Andrea Pierleoni + + ============ + CONTRIBUTORS + ============ + + * Mauro Amico + * Marc Weber +Platform: UNKNOWN +Classifier: Programming Language :: Python diff --git a/biograpy/biograpy.egg-info/SOURCES.txt b/biograpy/biograpy.egg-info/SOURCES.txt new file mode 100644 index 0000000..e69de29 diff --git a/biograpy/biograpy.egg-info/dependency_links.txt b/biograpy/biograpy.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/biograpy/biograpy.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/biograpy/biograpy.egg-info/entry_points.txt b/biograpy/biograpy.egg-info/entry_points.txt new file mode 100644 index 0000000..5d3e5f6 --- /dev/null +++ b/biograpy/biograpy.egg-info/entry_points.txt @@ -0,0 +1,3 @@ + + # -*- Entry points: -*- + \ No newline at end of file diff --git a/biograpy/biograpy.egg-info/namespace_packages.txt b/biograpy/biograpy.egg-info/namespace_packages.txt new file mode 100644 index 0000000..26f19da --- /dev/null +++ b/biograpy/biograpy.egg-info/namespace_packages.txt @@ -0,0 +1 @@ +biograpy diff --git a/biograpy/biograpy.egg-info/not-zip-safe b/biograpy/biograpy.egg-info/not-zip-safe new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/biograpy/biograpy.egg-info/not-zip-safe @@ -0,0 +1 @@ + diff --git a/biograpy/biograpy.egg-info/requires.txt b/biograpy/biograpy.egg-info/requires.txt new file mode 100644 index 0000000..5256e92 --- /dev/null +++ b/biograpy/biograpy.egg-info/requires.txt @@ -0,0 +1,4 @@ +setuptools +biopython +matplotlib>=2.0.0 +numpy>=1.1 diff --git a/biograpy/biograpy.egg-info/top_level.txt b/biograpy/biograpy.egg-info/top_level.txt new file mode 100644 index 0000000..26f19da --- /dev/null +++ b/biograpy/biograpy.egg-info/top_level.txt @@ -0,0 +1 @@ +biograpy diff --git a/build/lib/biograpy/drawer.py b/biograpy/drawer.py similarity index 80% rename from build/lib/biograpy/drawer.py rename to biograpy/drawer.py index 0eddb15..fa67a4b 100644 --- a/build/lib/biograpy/drawer.py +++ b/biograpy/drawer.py @@ -11,8 +11,7 @@ ''' import matplotlib, warnings, operator -matplotlib.use('Agg') -import tracks +from .tracks import PlotTrack from matplotlib.font_manager import FontProperties warnings.simplefilter("ignore") @@ -63,8 +62,9 @@ class Panel(object): ''' - def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): - """ """ + def __init__(self, fig=None, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): + """ """ + self.line_aspect_ratio = 20. self.fig_width = fig_width / float(fig_dpi) # fig_height are handled by matplotlib in inches not pixel if fig_height: @@ -81,8 +81,12 @@ def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): else: self.track_padding = kwargs.get('track_padding', 0) self.start_position = kwargs.get('start_position', 0) #changes the start position by adding this value to all x coords - self.padding = kwargs.get('padding', fig_width*.02)#pixel to be used as padding in all 4 directions - self.hpadding = self.padding / float(fig_width) + if fig is not None: + self.fig_width = fig.get_figwidth() + self.dpi = fig.get_dpi() + self.padding = kwargs.get('padding', self.fig_width*float(fig_dpi)*0.0)#pixel to be used as padding in all 4 directions + self.hpadding = self.padding / float(self.fig_width*float(fig_dpi)) + # print("padding",self.fig_width,self.dpi,self.padding,self.hpadding) self.figure_bottom_space = kwargs.get('figure_bottom_space', 0) if self.fig_height: self.vpadding = self.padding / float(fig_height) @@ -92,11 +96,26 @@ def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): self.xmin = kwargs.get('xmin', None) self.xmax = kwargs.get('xmax', None) - - '''create figure object''' - self.fig = matplotlib.pyplot.figure(1, figsize = (self.fig_width, self.fig_width), dpi = self.dpi, frameon = False) - self.ax = self.fig.add_subplot(111)#needed to make it invisible - ''' ''' + + '''Pass figure as argument, add tracks below the main figure.''' + if fig is not None: + self.use_existing_figure = True + self.ax = fig.axes[0] + # self.ax = fig.add_subplot(212, sharex=fig.axes[0]) + self.fig = fig # use existing figure + #self.fig_height = fig.get_figheight() # will be computed by draw_tracks + self.existing_fig_height = fig.get_figheight() + self.xmin = int(self.ax.get_xlim()[0]) + self.xmax = int(self.ax.get_xlim()[1]) + self.hpadding = self.ax.get_position().x0 + # print("existing figure",self.fig_width, self.xmin, self.xmax, self.hpadding, self.ax.get_position().width) + else: + self.use_existing_figure = False + '''create figure object''' + self.fig = matplotlib.pyplot.figure(1, figsize = (self.fig_width, self.fig_width), dpi = self.dpi, frameon = False) + self.ax = self.fig.add_subplot(111)#needed to make it invisible + self.ax.set_axis_off() + def add_track(self, track): """ @@ -120,21 +139,22 @@ def extend(self, tracks): self.add_track(track) def _estimate_fig_height(self,): - return self.drawn_lines*self.fig_width/30. + # the denominator is the aspect ratio of a single track + return self.drawn_lines*self.fig_width/self.line_aspect_ratio def _draw_tracks(self, **kwargs): '''create an axis for each track and moves accordingly all the child features''' - self.ax.set_axis_off() self.Drawn_objects = [] self.track_axes = [] draw_xmin = kwargs.get('xmin', None) draw_xmax = kwargs.get('xmax', None) - if draw_xmin: + if draw_xmin is not None: self.xmin = draw_xmin - if draw_xmax: + if draw_xmax is not None: self.xmax = draw_xmax + '''estimate track height using track.drawn_lines find max and min x coords, and check for colorbar presence in at least one track''' @@ -144,12 +164,12 @@ def _draw_tracks(self, **kwargs): track_height_user_specified = False for track in self.tracks: if track.features:#skip tracks with no features - if track.track_height and self.fig_height: #if not fig_height is specified user track heights are ignored + if track.track_height and self.fig_height: #if not fig_height is specified user track heights are ignored track_height_user_specified = True if track_height_user_specified and not track.track_height: - track_height_user_specified = False #disable if some track has not a specified heigth + track_height_user_specified = False #disable if some track has not a specified heigth warnings.warn('All tracks need to have a specified track_height, reverting to automatic track height') - track._sort_features(dpi = self.dpi, xoffset = self.xmin)#THIS WILL DRAW ALL THE FEATURES + track._sort_features(dpi=self.dpi, xoffset=self.xmin) #THIS WILL DRAW ALL THE FEATURES if track.draw_cb: if cbars != 'label': cbars = 'simple' @@ -158,15 +178,24 @@ def _draw_tracks(self, **kwargs): self.drawn_lines += track.drawn_lines Xs.append(track.xmin) Xs.append(track.xmax) - if self.xmin == None: - self.xmin = min(Xs) - if self.xmax == None: - self.xmax =max(Xs) + if self.xmin is None: + self.xmin = min(Xs) if Xs != [] else 0 + if self.xmax is None: + self.xmax = max(Xs) '''auto estimate fig_heigth and panning if needed ''' - if not self.fig_height:#automatcally set fig height basing on the total number of features - self.fig_height=self._estimate_fig_height() + if not self.fig_height: #automatically set fig height basing on the total number of features + self.fig_height = self._estimate_fig_height() self.vpadding = (float(self.padding)/self.dpi) / self.fig_height self.vtrack_padding = (float(self.track_padding)/self.dpi) / self.fig_height + #print("vtrack_padding", self.fig_height, self.padding, self.track_padding, self.dpi, self.fig_height, self.vpadding, self.vtrack_padding) + + if self.use_existing_figure: + self.axisHeightScaling = self.fig_height / self.existing_fig_height + # print("self.axisHeightScaling", self.axisHeightScaling) + # plt.gcf().set_figheight(self.existing_fig_height + self.fig_height) + # plt.gcf().subplots_adjust(bottom=self.axisHeightScaling) + else: + self.axisHeightScaling = 1.0 '''set colorbar dimension ''' if cbars == 'label': @@ -182,11 +211,20 @@ def _draw_tracks(self, **kwargs): axis_left_pad = self.hpadding default_figure_bottom_space = self.vpadding + float(self.figure_bottom_space)/self.dpi - axis_bottom_pad = 1.0 - default_figure_bottom_space + if self.use_existing_figure: + default_figure_bottom_space = 0. + axis_bottom_pad = 0.0 - default_figure_bottom_space + else: + axis_bottom_pad = 1.0 - default_figure_bottom_space axis_width = 1.-2*self.hpadding axis_scale = None# used to persist the same scale on all the tracks if cbars: axis_width -= (cbar_extent + cbar_axis_space + cbar_right_pad) + if self.use_existing_figure: + # Use the same axis width as the figure + axis_width = self.ax.get_position().width + + '''cycle trought tracks and draw them as axix object ''' #canvas_height = 0 for track_num, track in enumerate(self.tracks): @@ -198,16 +236,17 @@ def _draw_tracks(self, **kwargs): if axis_scale: axis_height = axis_scale * track.drawn_lines else: - axis_height = (float(track.drawn_lines)/self.drawn_lines) - self.vpadding/(2.*len(self.tracks)) - default_figure_bottom_space/len(self.tracks) + axis_height = (float(track.drawn_lines)/self.drawn_lines) - self.vpadding/(2.*len(self.tracks)) axis_scale = axis_height / float(track.drawn_lines) axis_bottom_pad -= (axis_height + self.vtrack_padding/2.) - axis = matplotlib.pyplot.axes([axis_left_pad,axis_bottom_pad, axis_width, axis_height ],) + axis = matplotlib.pyplot.axes([axis_left_pad, axis_bottom_pad*self.axisHeightScaling, + axis_width, axis_height*self.axisHeightScaling ], label=track_num) self.track_axes.append(axis) '''handle track axis display, ticks and tickslabel ''' '''set Y lims ''' - if isinstance(track, tracks.PlotTrack): + if isinstance(track, PlotTrack): if track.show_name: if track.show_name == 'top': axis.set_ylim(track.Ycord, track.ymax+1) @@ -349,7 +388,7 @@ def _draw_tracks(self, **kwargs): Y_major_ticks_labels = track.yticklabels_major else: Y_major_ticks = None - if ('left' in track.draw_axis) and track.yticks_major: + if ('left' in track.draw_axis) and track.yticks_major: axis.set_yticks(Y_major_ticks) '''major ticks labels ''' if Y_major_ticks and track.show_yticklabels: @@ -359,21 +398,21 @@ def _draw_tracks(self, **kwargs): Y_major_ticks_labels.append(i) axis.set_yticklabels(Y_major_ticks_labels, fontsize=track.tickfontsize) else: - axis.yaxis.set_tick_params(labelsize = track.tickfontsize) + axis.yaxis.set_tick_params(labelsize=track.tickfontsize) '''minor Y ticks ''' Y_minor_ticks_labels = None - if track.yticks_minor != None: + if track.yticks_minor is not None: Y_minor_ticks = track.yticks_minor - if (track.yticklabels_minor != None) \ + if (track.yticklabels_minor is not None) \ and len(track.yticklabels_minor) == len(track.yticks_minor): Y_minor_ticks_labels = track.yticklabels_minor else: Y_minor_ticks = None - if ('left' in track.draw_axis) and track.yticks_minor: + if ('left' in track.draw_axis) and track.yticks_minor: axis.set_yticks(Y_minor_ticks, minor=True) '''minor ticks labels ''' if Y_minor_ticks and track.show_yticklabels: - if Y_minor_ticks_labels == None: + if Y_minor_ticks_labels is None: Y_minor_ticks_labels = [] for i in Y_minor_ticks: if i in Y_major_ticks: @@ -382,7 +421,7 @@ def _draw_tracks(self, **kwargs): Y_minor_ticks_labels.append(i) axis.set_yticklabels(Y_minor_ticks_labels, fontsize=track.tickfontsize_minor, minor=True) else: - axis.yaxis.set_tick_params(which= 'minor', labelsize = track.tickfontsize) + axis.yaxis.set_tick_params(which='minor', labelsize=track.tickfontsize) @@ -408,8 +447,10 @@ def _draw_tracks(self, **kwargs): else: axis.add_artist(patch) patch.set_transform(axis.transData)# IMPORTANT WORKAROUND!!! if not manually set, transform is not passed correctly in Line2D objects - + + feature.draw_feat_name(ax=axis) for feat_name in feature.feat_name: + #feat_name.set_visible(True) axis.add_artist(feat_name) if track.draw_cb: @@ -421,9 +462,9 @@ def _draw_tracks(self, **kwargs): break cb1 = matplotlib.colorbar.ColorbarBase(cb_axis, cmap=track.cm, - norm=track.norm, - alpha = track.cb_alpha, - orientation='vertical') + norm=track.norm, + alpha = track.cb_alpha, + orientation='vertical') if track.cb_label: cb1.set_label(track.cb_label) #cb_axis.axes.set_axis_off() @@ -436,35 +477,37 @@ def _draw_tracks(self, **kwargs): legend_font.set_family('serif') legend_font.set_weight('normal') axis.legend(prop = legend_font) - - '''set panel size and panning ''' - self.fig.set_figheight(self.fig_height) - self.fig.set_figwidth(self.fig_width) + + if not self.use_existing_figure: + '''set panel size and panning ''' + self.fig.set_figheight(self.fig_height) + self.fig.set_figwidth(self.fig_width) + def _boxes(self): '''must be called after Drawer.save(output) ''' if not getattr(self, 'Drawn_objects', None): self._draw_tracks() - trans = self.fig.get_transform() # transform should not be necessary if the plot was already plotted + trans = self.fig.get_transform() # transform should not be necessary if the plot was already plotted dpi = self.fig.get_dpi() # XXX: img_width unused ??? # img_width = self.fig.get_figwidth() * dpi img_height = self.fig.get_figheight() * dpi for obj in self.Drawn_objects: - xs_patches=[] - ys_patches=[] + xs_patches = [] + ys_patches = [] for patch in obj.patches: if isinstance(patch,list): for p in patch: - bbox=p.get_window_extent(None) + bbox = p.get_window_extent(None) xs_patches.append(bbox.xmax) xs_patches.append(bbox.xmin) ys_patches.append(bbox.ymax) ys_patches.append(bbox.ymin) else: try: - bbox=patch.get_window_extent(None) + bbox = patch.get_window_extent(None) xs_patches.append(bbox.xmax) xs_patches.append(bbox.xmin) ys_patches.append(bbox.ymax) @@ -488,24 +531,24 @@ def _create_html_map(self, map_name = 'biograpy-map', map_id = 'biograpy-map', t returns the corresponding html map from self.Drawn_objects in self.htmlmap target ---> set target="_blank" on area links if needed """ - areas =[] + areas=[] for box in self._boxes(): if box['proceed']: obj = box['feature'] - area_dict = dict(shape = 'rect', # shape: rect, circle, poly - coords = '%(left)i,%(top)i,%(right)i,%(bottom)i' % box, - href = obj.url or '#%s'%obj.name, #href - target = target, - script = obj.html_map_extend, - alt = obj.name ) + area_dict = dict(shape='rect', # shape: rect, circle, poly + coords='%(left)i,%(top)i,%(right)i,%(bottom)i' % box, + href=obj.url or '#%s' % obj.name, #href + target=target, + script=obj.html_map_extend, + alt=obj.name ) area_html = '''%(alt)s''' % area_dict areas.append(area_html) - self.htmlmap ='''\n %s \n'''%(map_name, map_id, '\n'.join(areas)) + self.htmlmap ='''\n %s \n''' % (map_name, map_id, '\n'.join(areas)) return - def save(self, output, html_target='_self', xmin = None, xmax = None, **kwargs): + def save(self, output, html_target='_self', xmin=None, xmax=None, **kwargs): ''' input parameters are: @@ -537,9 +580,10 @@ def save(self, output, html_target='_self', xmin = None, xmax = None, **kwargs): if output[-3:] in ('png', 'jpg', 'jpeg'): create_html_map = True if create_html_map: - self._create_html_map(target = html_target, **kwargs)# do it just for png file + # self._create_html_map(target = html_target, **kwargs)# do it just for png file + pass - matplotlib.pyplot.savefig(output, dpi=self.fig.get_dpi(), **kwargs) + matplotlib.pyplot.savefig(output, dpi=self.fig.get_dpi(), bbox_inches='tight', **kwargs) def close(self): diff --git a/src/biograpy/features.py b/biograpy/features.py similarity index 72% rename from src/biograpy/features.py rename to biograpy/features.py index 7ce3a32..a96484c 100644 --- a/src/biograpy/features.py +++ b/biograpy/features.py @@ -20,8 +20,16 @@ import matplotlib.cm as cm from matplotlib.lines import Line2D from matplotlib.text import Text -from matplotlib.patches import Rectangle,Circle, Wedge, Polygon,FancyBboxPatch, FancyArrow +from matplotlib.patches import Rectangle,Circle, Wedge, Polygon,FancyBboxPatch, FancyArrow, FancyArrowPatch, ArrowStyle from matplotlib.colors import Normalize,LogNorm,ListedColormap,LinearSegmentedColormap +from Bio.SeqFeature import ExactPosition, CompoundLocation + + +defaultFontSize = 11 +defaultFontSizeScalingFactor = 110 # Works well for monospace font +textFeatureHeight = 1.1 +arrowHeadLengthRelative = 0.01 + class BaseGraphicFeature(object): @@ -99,38 +107,91 @@ class BaseGraphicFeature(object): ''' - default_cm='winter'#deafult matplotlib colormap to use + default_cm = 'winter' #deafult matplotlib colormap to use def __init__(self, **kwargs): ''' init ''' - self.name=kwargs.get('name','') - self.type=kwargs.get('type','') - self.score=kwargs.get('score',0.) - self.height=kwargs.get('height',1.) + self.name = kwargs.get('name','') + self.type = kwargs.get('type','') + self.score = kwargs.get('score',0.) + self.height = kwargs.get('height',1.) # html map options - self.url = kwargs.get('url','') - self.html_map_extend = kwargs.get('html_map_extend','') + self.url = kwargs.get('url','') + self.html_map_extend = kwargs.get('html_map_extend','') #feature style options self.cm = cm.get_cmap(kwargs.get('cm', self.default_cm)) self.color_by_cm = kwargs.get('color_by_cm',True) self.cm_value = kwargs.get('cm_value',None) - self.use_score_for_color=kwargs.get('use_score_for_color',False) + self.use_score_for_color = kwargs.get('use_score_for_color',False) if self.use_score_for_color: self.color_by_cm = True self.fc = kwargs.get('fc', self.cm(self.cm_value or 0)) self.ec = kwargs.get('ec', None) - self.lw = kwargs.get('lw',0.5) + self.lw = kwargs.get('lw', 0.5) self.ls = kwargs.get('ls','-') - self.alpha=kwargs.get('alpha',.8) - self.boxstyle=kwargs.get('boxstyle','square, pad=0.') - self.Y=0.0 - self.patches = [] # all the patches must be returned inside this list - self.feat_name= [] # all the patches labels must be returned inside this list + self.alpha = kwargs.get('alpha',.8) + self.boxstyle = kwargs.get('boxstyle','square, pad=0.') + self.Y = 0.0 + self.Y2 = 0.0 + self.patches = [] # all the patches must be returned inside this list + self.feat_name = [] # all the patches labels must be returned inside this list self.norm = kwargs.get('norm', None) + def find_arrow_dimensions(self, start, end, verbose=0): + # verbose = 2 + # The following mess is needed because FancyArrowPatch only takes arrow head widths and lengths + # in points (1/72 inches), the method is meant to draw arrows independently of axes sizes, same as a text annotation. + # Because we want to set the arrow size relative to the axis, we have to transform between + # coordinates systems: data, axis, display pixels and inches and points. + # What a mess!!! + + # Adjust the arrow head length relative to the axis width + axis_to_data = plt.gca().transAxes + plt.gca().transData.inverted() + headLengthData = (axis_to_data.transform((arrowHeadLengthRelative, 0))[0] - + axis_to_data.transform((0, 0))[0]) + if verbose >= 2: print("headLengthData1", headLengthData) + if headLengthData > end - start: + headLengthData = 0.75*(end - start) + if verbose >= 2: print("(end - start)", (end - start), "automaticHeadLengthData2", headLengthData) + + # Adjust body and head widths as fixed values in data coordinates + bodyWidthData = self.height*1.0 + headWidthData = self.height*1.5 + + # Convert all measures to x and y display inches and points + data_to_display = plt.gca().transData + xDataUnitInDisplayInches = (data_to_display.transform((1, 0))[0] - + data_to_display.transform((0, 0))[0]) / plt.gcf().get_dpi() + yDataUnitInDisplayInches = (data_to_display.transform((0, 1))[1] - + data_to_display.transform((0, 0))[1]) / plt.gcf().get_dpi() + xDataUnitInDisplayPt = xDataUnitInDisplayInches*72 + yDataUnitInDisplayPt = yDataUnitInDisplayInches*72 + if verbose >= 2: + print("xDataUnitInDisplayInches", xDataUnitInDisplayInches) + print("yDataUnitInDisplayInches", yDataUnitInDisplayInches) + print("xDataUnitInDisplayPt", xDataUnitInDisplayPt) + print("yDataUnitInDisplayPt", yDataUnitInDisplayPt) + + headLengthInches = headLengthData*xDataUnitInDisplayInches + bodyWidthInches = bodyWidthData*yDataUnitInDisplayInches + headWidthInches = headWidthData*yDataUnitInDisplayInches + if verbose >= 2: + print("headLengthInches", headLengthInches) + print("headWidthData", headWidthData, "headWidthInches", headWidthInches) + + headLengthPoints = headLengthInches*72 + bodyWidthPoints = bodyWidthInches*72 + headWidthPoints = headWidthInches*72 + + return (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) + + + def draw_feat_name(self,**kwargs): '''calling self.draw_feat_name() agailn will overwrite the previous \ feature name stored in self.feat_name @@ -151,18 +212,24 @@ def draw_feat_name(self,**kwargs): self.feat_name = [] font_feat = FontProperties() set_size = kwargs.get('set_size','x-small') + ax = kwargs.get('ax',plt.gca()) set_family = kwargs.get('set_family','serif') set_weight = kwargs.get('set_weight','normal') - va=kwargs.get('va','top') - ha=kwargs.get('ha','left') - xoffset = kwargs.get('xoffset',0)# + va = kwargs.get('va','top') + ha = kwargs.get('ha','left') + xoffset = kwargs.get('xoffset',0) font_feat.set_size(set_size) font_feat.set_family(set_family) font_feat.set_weight(set_weight) text_x = self.start if (self.start < xoffset) and (xoffset <= self.end): - text_x+= xoffset - self.feat_name = [plt.annotate(self.name, xy = (text_x, self.Y), xytext = (text_x, self.Y - self.height/5.), fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] + text_x += xoffset + #print("drawing feature name", self.name, (text_x, self.Y), (text_x, self.Y - self.height/5.), self.Y2) + #self.feat_name = [ax.annotate(self.name, xy = (text_x, self.Y2), xytext = (text_x, self.Y2 - self.height/5.), fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] + #for fname in self.feat_name: + # fname.set_visible(False) + self.feat_name = [Text(x=text_x, y=self.Y2 - 0.12*self.height, text=self.name, + fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] class Simple(BaseGraphicFeature): @@ -181,17 +248,18 @@ def __init__(self,start,end,**kwargs): self.start = start self.end = end - def draw_feature(self): - feat_draw=FancyBboxPatch((self.start,self.Y), - width=(self.end-self.start), - height=self.height, - boxstyle=self.boxstyle, - lw=self.lw, - ec=self.ec, - fc=self.fc, - alpha=self.alpha, - url = self.url, - mutation_aspect = 0.3) + + def draw_feature(self): + feat_draw = FancyBboxPatch((self.start,self.Y), + width=(self.end-self.start), + height=self.height, + boxstyle=self.boxstyle, + lw=self.lw, + ec=self.ec, + fc=self.fc, + alpha=self.alpha, + url=self.url, + mutation_aspect=0.3) self.patches.append(feat_draw) @@ -218,11 +286,11 @@ def __init__(self,feature,**kwargs): ''' BaseGraphicFeature.__init__(self,**kwargs) - self.start=kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) - self.end=kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) - self.type=kwargs.get('type',feature.type) + self.start = kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) + self.end = kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) + self.type = kwargs.get('type',feature.type) if 'score' in feature.qualifiers: - self.score=kwargs.get('score',feature.qualifiers['score']) + self.score = kwargs.get('score',feature.qualifiers['score']) def draw_feature(self): @@ -260,45 +328,71 @@ class GeneSeqFeature(BaseGraphicFeature): def __init__(self,feature,exons=[],**kwargs): BaseGraphicFeature.__init__(self,**kwargs) - self.height=kwargs.get('height',2.) - self.start=kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) - self.end=kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) - default_head_length = 10 - if abs(self.end - self.start<= 50): + self.height = kwargs.get('height',1.) + self.start = kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) + self.end = kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) + default_head_length = 35 + if abs(self.end - self.start <= 50): default_head_length = (self.end-self.start)/10. - self.head_length=kwargs.get('head_length',default_head_length) - self.type=kwargs.get('type','gene') - self.feature=feature - self.exons=exons + self.head_length = kwargs.get('head_length', default_head_length) + self.type = kwargs.get('type','gene') + self.feature = feature + self.exons = exons def draw_feature(self): - self.patches=[] - if self.feature.strand==1: - arrow_start=self.start - arrow_direction=self.end-self.start - shape='right' - body_width=self.height*.6667 - head_width=self.height - elif self.feature.strand==-1: - arrow_start=self.end - arrow_direction=self.start-self.end - shape='left' - body_width=self.height*.6667 - head_width=self.height + + (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) = self.find_arrow_dimensions(self.start, self.end) + + self.patches = [] + if self.feature.strand == 1: + arrow_start = self.start + arrow_direction = self.end - self.start + elif self.feature.strand == -1: + arrow_start = self.end + arrow_direction = self.start - self.end else: raise ValueError('Gene feature must have strand equal to 1 or -1') - feat_draw=FancyArrow(arrow_start, self.Y, dx=arrow_direction, dy=0, ec=self.ec, - fc=self.fc,alpha=self.alpha, width=body_width, head_length = self.head_length, - head_width=head_width,lw=self.lw,length_includes_head=True, - shape=shape, head_starts_at_zero=False) + + # feat_draw = FancyArrowPatch( + # (arrow_start, self.Y + 0.5), + # (arrow_start + arrow_direction, self.Y + 0.5), + # arrowstyle=ArrowStyle('simple', + # head_length=headLengthInches, + # head_width=headWidthInches, + # tail_width=bodyWidthInches), + # ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + # mutation_scale=1) + + # feat_draw = FancyArrowPatch( + # (arrow_start, self.Y + 0.5), + # (arrow_start + arrow_direction, self.Y + 0.5), + # arrowstyle=ArrowStyle('simple', + # head_length=headLengthPoints, + # head_width=headWidthPoints, + # tail_width=bodyWidthPoints), + # ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + # mutation_scale=1) + + feat_draw = FancyArrow( + x=arrow_start, y=self.Y + self.height/2., dx=arrow_direction, dy=0, + ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + width=bodyWidthData, + head_length=headLengthData, + head_width=headWidthData, + length_includes_head=True, head_starts_at_zero=False) + self.patches.append(feat_draw) - for exon in self.exons: - feat_draw=FancyBboxPatch((int(exon.location.start.position),self.Y), - width=(int(exon.location.end.position)-int(exon.location.start.position)), - height=body_width/2., boxstyle=self.boxstyle,lw=0, ec=self.ec, - fc=self.fc,alpha=self.alpha+0.1, url = self.url,) - self.patches.append(feat_draw) + + # for exon in self.exons: + # feat_draw = FancyBboxPatch( + # (int(exon.location.start.position),self.Y), + # width=(int(exon.location.end.position)-int(exon.location.start.position)), + # height=body_width/2., boxstyle=self.boxstyle,lw=0, ec=self.ec, + # fc=self.fc,alpha=self.alpha+0.1, url=self.url,) + # self.patches.append(feat_draw) class TextSequence(BaseGraphicFeature): @@ -319,7 +413,7 @@ class TextSequence(BaseGraphicFeature): set_family as in matplotlib, default is ``'monospace'`` set_weight as in matplotlib, default is ``'normal'`` va as in matplotlib, default is ``'bottom'`` - ha as in matplotlib, default is ``'left'`` + ha as in matplotlib, default is ``'center'`` ===================== ================================================== Usage eg. @@ -333,37 +427,151 @@ class TextSequence(BaseGraphicFeature): def __init__(self,sequence,**kwargs): BaseGraphicFeature.__init__(self,**kwargs) + self.height = kwargs.get('height', textFeatureHeight) self.sequence = sequence self.start = kwargs.get('start',0) self.end = kwargs.get('end', self.start + len(self.sequence)) - self.set_size = kwargs.get('set_size','xx-small') + self.customFontSize = 'set_size' in kwargs + self.set_size = kwargs.get('set_size','medium') self.set_family = kwargs.get('set_family','monospace') self.set_weight = kwargs.get('set_weight','normal') self.va = kwargs.get('va','bottom') - self.ha = kwargs.get('ha','left') - self.font_feat=FontProperties() - self.font_feat.set_size(self.set_size) - self.font_feat.set_family(self.set_family) - self.font_feat.set_weight(self.set_weight) + self.ha = kwargs.get('ha','center') + self.fontProp = FontProperties() + self.fontProp.set_size(self.set_size) + self.fontProp.set_family(self.set_family) + self.fontProp.set_weight(self.set_weight) def draw_feature(self): - self.patches=[] + if not self.customFontSize: + # Adjust default text size such that we uses the biggest font size possible to fill all the space + # between two positions. The idea is to make the font size proportional to the distance + # in inches between position i and i+1 (distance 1 in axis coordinates). + width1AxisUnitInDisplayPixels = plt.gca().transData.transform((1, 0))[0] - plt.gca().transData.transform((0, 0))[0] + width1AxisUnitInDisplayInches = width1AxisUnitInDisplayPixels / plt.gcf().get_dpi() + self.fontProp.set_size(width1AxisUnitInDisplayInches*defaultFontSizeScalingFactor) + + self.patches = [] for i, char in enumerate(self.sequence): - '''self.patches.append(plt.annotate(char, - xy = (self.start + i, 0), - xytext = (self.start + i, 0-self.height/5.), - fontproperties = self.font_feat, - horizontalalignment = self.ha, - verticalalignment = self.va ))''' - self.patches.append(Text(x = self.start + i, - y= 0, - text = char, - fontproperties = self.font_feat, - horizontalalignment = self.ha, - verticalalignment = self.va, - url = self.url, )) - + self.patches.append(Text(x=self.start + i, + y=0, + text=char, + fontproperties=self.fontProp, + horizontalalignment=self.ha, + verticalalignment=self.va, + url=self.url)) + + + +class PrettyTextSequence(BaseGraphicFeature): + """ + characterList should be a list of (character, attributeDictionary). + """ + + def __init__(self, sequence, highlightList=None, **kwargs): + + BaseGraphicFeature.__init__(self,**kwargs) + self.sequence = sequence + self.highlightList = highlightList + self.height = kwargs.get('height', textFeatureHeight) + self.start = kwargs.get('start', 0) + self.end = kwargs.get('end', self.start + len(self.sequence)) + self.hasCustomGeneralFontSize = 'set_size' in kwargs + self.set_size = kwargs.get('set_size','medium') + self.set_family = kwargs.get('set_family','monospace') + self.set_weight = kwargs.get('set_weight','normal') + self.va = kwargs.get('va','bottom') + self.ha = kwargs.get('ha','center') + self.fontProp = FontProperties() + self.fontProp.set_size(self.set_size) + self.fontProp.set_family(self.set_family) + self.fontProp.set_weight(self.set_weight) + def draw_feature(self): + + if not self.hasCustomGeneralFontSize: + # Adjust default text size such that we uses the biggest font size possible to fill all the space + # between two positions. The idea is to make the font size proportional to the distance + # in inches between position i and i+1 (distance 1 in axis coordinates). + width1AxisUnitInDisplayPixels = plt.gca().transData.transform((1, 0))[0] - plt.gca().transData.transform((0, 0))[0] + width1AxisUnitInDisplayInches = width1AxisUnitInDisplayPixels / plt.gcf().get_dpi() + automaticFontSize = width1AxisUnitInDisplayInches*defaultFontSizeScalingFactor + self.fontProp.set_size(automaticFontSize) + + self.patches = [] + + # Transform the sequence in a list of (char, propArgsDict) + if type(self.sequence) is str: + self.sequence = list(self.sequence) + + for i, charTuple in enumerate(self.sequence): + if type(charTuple) is str: + # We only have a character without any custom font properties + char = charTuple + propArgsDict = {'fontproperties':self.fontProp.copy()} + + # Add default font properties if needed + if 'fontproperties' not in propArgsDict: + propArgsDict['fontproperties'] = self.fontProp.copy() + + # Update char tuple + self.sequence[i] = (char, propArgsDict) + + # Apply highlighting + if self.highlightList is not None: + for highlightRegion in self.highlightList: + bc = highlightRegion.get('background_color') + if bc is None: + bc = highlightRegion.get('bc') + bc_alpha = highlightRegion.get('background_color_alpha') + if bc_alpha is None: + bc_alpha = highlightRegion.get('bc_alpha') + fc = highlightRegion.get('foreground_color') + if fc is None: + fc = highlightRegion.get('fc') + weight = highlightRegion.get('weight') + + for i in range(highlightRegion['start'], highlightRegion['end']): + char, propArgsDict = self.sequence[i] + if bc is not None: + bc_alpha = 1.0 if bc_alpha is None else bc_alpha + propArgsDict['bbox'] = dict(facecolor=bc, alpha=bc_alpha, edgecolor='none', lw=0, pad=0.1) + if fc is not None: + propArgsDict['color'] = fc + if weight is not None: + propArgsDict['fontproperties'].set_weight(weight) + # print("highlight", i, fc, bc, bc_alpha, weight, "propArgsDict", propArgsDict) + + for i, charTuple in enumerate(self.sequence): + (char, propArgsDict) = charTuple + + # Adjust the font size automatically, unless explicitly defined as custom size in the font properties dictionary + # Note that here we override any font size that would be defined in the FontProperties object passed in + # `propArgsDict['fontproperties']`. This is because there is no way to know if the FontProperties object uses + # the default font size or a user defined font size. We make it explicit by requiring the custom font size + # as a separate option in the `propArgsDict`. + customFontSize = propArgsDict.get('size') + if customFontSize is not None: + propArgsDict['fontproperties'].set_size(customFontSize) + else: + propArgsDict['fontproperties'].set_size(automaticFontSize) + + # If the font size is too small, we do not draw any feature + if propArgsDict['fontproperties'].get_size() > 3: + feat_draw = Text(x=self.start + i, + y=0, + text=char, + horizontalalignment=self.ha, + verticalalignment=self.va, + **propArgsDict) + # # Here we plot directly the text on the current figure, however we will have to remove from it afterwards + # feat_draw = fig.text(self.start + i, 0, char, + # horizontalalignment=self.ha, + # verticalalignment=self.va, + # **propArgsDict) + self.patches.append(feat_draw) + + class PlotFeature(BaseGraphicFeature): ''' @@ -630,34 +838,40 @@ class CoupledmRNAandCDS(BaseGraphicFeature): ''' - def __init__(self,mRNA,CDS,**kwargs): + def __init__(self, mRNA, CDS, **kwargs): ''' ''' BaseGraphicFeature.__init__(self,**kwargs) - self.mRNA_start=kwargs.get('mRNA_start',min([mRNA.location.start.position,mRNA.location.end.position])) - self.mRNA_end=kwargs.get('mRNA_end',max([mRNA.location.start.position,mRNA.location.end.position])) - self.CDS_start=kwargs.get('CDS_start',min([CDS.location.start.position,CDS.location.end.position])) - self.CDS_end=kwargs.get('CDS_end',max([CDS.location.start.position,CDS.location.end.position])) + self.mRNA_start = kwargs.get('mRNA_start',min([mRNA.location.start.position,mRNA.location.end.position])) + self.mRNA_end = kwargs.get('mRNA_end',max([mRNA.location.start.position,mRNA.location.end.position])) + self.CDS_start = kwargs.get('CDS_start',min([CDS.location.start.position,CDS.location.end.position])) + self.CDS_end = kwargs.get('CDS_end',max([CDS.location.start.position,CDS.location.end.position])) self.start = self.mRNA_start self.end = self.mRNA_end - self.type=kwargs.get('type','mRNA') + self.type = kwargs.get('type','mRNA') if 'score' in mRNA.qualifiers: - self.score=kwargs.get('score',mRNA.qualifiers['score']) - self.mRNA=mRNA - self.CDS=CDS - self.ec=kwargs.get('ec','k') + self.score = kwargs.get('score',mRNA.qualifiers['score']) + self.mRNA = mRNA + self.CDS = CDS + self.ec = kwargs.get('ec','k') + # Arrow head length + default_head_length = 35 + if abs(self.end - self.start <= 50): + default_head_length = (self.end-self.start)/10. + self.head_length = kwargs.get('head_length', default_head_length) def draw_feature(self): + #draw mRNA - if len(self.mRNA.sub_features): - junction_start=False - if self.mRNA.strand==-1: + if type(self.mRNA.location) is CompoundLocation: + junction_start = False + if self.mRNA.strand == -1: self.mRNA.sub_features.reverse() for sub_feature in self.mRNA.sub_features: - if sub_feature.location_operator=='join': - feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha-0.5, url = self.url,) + if sub_feature.location_operator == 'join': + feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha-0.7, url = self.url,) self.patches.append(feat_draw) if junction_start: junction_end=float(sub_feature.location.start.position) @@ -667,22 +881,47 @@ def draw_feature(self): join=plt.plot([junction_start,junction_middle,junction_end],[Yends,Ymiddle,Yends], lw=0.5 ,ls='-', c=self.ec,alpha=0.5) self.patches.extend(join) junction_start=float(sub_feature.location.end.position) - else:#if SegmentedSeqFeature is called whihout subfeatures returns a GenericSeqFeature - feat_draw=FancyBboxPatch((self.mRNA_start,self.Y), width=(self.mRNA_end-self.mRNA_start), height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha, url = self.url,) + else: + feat_draw = FancyBboxPatch((self.mRNA_start, self.Y), width=(self.mRNA_end-self.mRNA_start), + height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, + fc=self.fc,alpha=self.alpha-0.5, url=self.url,) self.patches.append(feat_draw) - #draw CDS - if len(self.CDS.sub_features): - junction_start=False - if self.CDS.strand==-1: + + # draw CDS + if type(self.CDS.location) is CompoundLocation: + # Note: this is probably not correct for the newer Biopython CompoundLocation class... + junction_start = False + if self.CDS.strand == -1: self.CDS.sub_features.reverse() for sub_feature in self.CDS.sub_features: - if sub_feature.location_operator=='join': - feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=0, ec=self.ec, fc=self.fc,alpha=self.alpha,) + if sub_feature.location_operator == 'join': + feat_draw = FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=0, ec=self.ec, fc=self.fc,alpha=self.alpha,) self.patches.append(feat_draw) - else:#if SegmentedSeqFeature is called whihout subfeatures returns a GenericSeqFeature - feat_draw=FancyBboxPatch((self.CDS_start,self.Y), width=(self.CDS_end-self.CDS_start), height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha,) + else: + (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) = self.find_arrow_dimensions(self.CDS_start, self.CDS_end) + + if self.CDS.strand == 1: + arrow_start = self.CDS_start + arrow_direction = self.CDS_end-self.CDS_start + elif self.CDS.strand == -1: + arrow_start = self.CDS_end + arrow_direction = self.CDS_start-self.CDS_end + else: + raise ValueError('Gene feature must have strand equal to 1 or -1') + shape = 'full' # if we prefer a full arrow instead of half arrow head. + + feat_draw = FancyArrow( + x=arrow_start, y=self.Y + self.height/2., dx=arrow_direction, dy=0, + ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + width=bodyWidthData, + head_length=headLengthData, + head_width=headWidthData, + length_includes_head=True, head_starts_at_zero=False) + self.patches.append(feat_draw) - + diff --git a/build/lib/biograpy/seqrecord.py b/biograpy/seqrecord.py similarity index 99% rename from build/lib/biograpy/seqrecord.py rename to biograpy/seqrecord.py index 6bdb497..5ce2db3 100644 --- a/build/lib/biograpy/seqrecord.py +++ b/biograpy/seqrecord.py @@ -274,7 +274,7 @@ def draw_features_ordered_by_gene_struct(self,gene_code=None): gene_name=' - '.join(Lgene_name) break if not gene_code: - raise ValueError, "Cannot draw gene structure, without a gene code" + raise ValueError("Cannot draw gene structure, without a gene code") @@ -390,7 +390,7 @@ def SliceSeqRec(seqrec,start=None,end=None,include_feature=[],exclude_feature=[] if end is None : end = -1 if (start < 0 or end < 0) and parent_length == 0 : - raise ValueError, "Cannot support negative indices without the sequence length" + raise ValueError("Cannot support negative indices without the sequence length") if start < 0 : start = parent_length - start if end < 0 : diff --git a/src/biograpy/tracks.py b/biograpy/tracks.py similarity index 84% rename from src/biograpy/tracks.py rename to biograpy/tracks.py index 0edd3c1..1ddbcb4 100644 --- a/src/biograpy/tracks.py +++ b/biograpy/tracks.py @@ -15,12 +15,32 @@ import matplotlib.colors as colors import matplotlib.cm as cm from matplotlib.lines import Line2D -from matplotlib.patches import Rectangle, Circle, Wedge, Polygon, FancyBboxPatch, FancyArrow +from matplotlib.patches import Rectangle, Circle, Wedge, Polygon, FancyBboxPatch, FancyArrow, FancyArrowPatch from matplotlib.font_manager import FontProperties from matplotlib.text import Annotation +from matplotlib.text import Text +from .features import TextSequence, PrettyTextSequence +def find_renderer(fig): + + if hasattr(fig.canvas, "get_renderer"): + #Some backends, such as TkAgg, have the get_renderer method, which + #makes this easy. + renderer = fig.canvas.get_renderer() + else: + #Other backends do not have the get_renderer method, so we have a work + #around to find the renderer. Print the figure to a temporary file + #object, and then grab the renderer that was used. + #(I stole this trick from the matplotlib backend_bases.py + #print_figure() method.) + import io + fig.canvas.print_pdf(io.BytesIO()) + renderer = fig._cachedRenderer + return(renderer) + + class BaseTrack(object): ''' @@ -115,7 +135,7 @@ class BaseTrack(object): ''' Ycord = 0.0 - _betw_feat_space = 2 + _betw_feat_space = 2.5 default_cm='Accent'#deafult matplotlib colormap to use @@ -128,6 +148,7 @@ def __init__(self, *args, **kwargs): self.show_name = kwargs.get('show_name', 'top') else: self.show_name = None + self.fig = kwargs.get('fig', None) self.max_score = kwargs.get('max_score', None) self.min_score = kwargs.get('min_score', None) self.draw_axis = kwargs.get('draw_axis', ["bottom"] ) @@ -150,7 +171,7 @@ def __init__(self, *args, **kwargs): self.norm = kwargs.get('norm', None)# normalizing function, if None build one. could be any function taking a value an returning a float between 0 and 1 if not self.norm: - self.norm = colors.normalize(vmin = self.min_score, vmax = self.max_score) + self.norm = colors.Normalize(vmin = self.min_score, vmax = self.max_score) self.cm = cm.get_cmap(kwargs.get('cm', self.default_cm)) @@ -218,38 +239,47 @@ def extend(self, features): def _collapse(self, dpi,): '''collapse features ''' plt.draw() + renderer = find_renderer(plt.gcf()) # this is necessary to estimate the text dimensions and avoid collisions until draw # is not called the text object do not know its renderer and cannot call get_window_extent method. - line_controller=[] - size_memory={} + line_controller = [] + size_memory = {} draw_features = [] + last_feature_xlim = [0,0] while len(draw_features) < len(self.features): for feat_numb, feat2draw in enumerate(self.features): '''estimate feature lenght''' if feat_numb not in size_memory: - xs_patches=[] - for patch in feat2draw.patches: - #for p in patch: - try: - bbox=patch.get_window_extent(None,) - except: - warnings.warn('could not find box coordinated for patch: '+str(patch) ) - continue - xs_patches.append(bbox.xmax) - xs_patches.append(bbox.xmin) + xs_patches = [] + if type(feat2draw) in [TextSequence, PrettyTextSequence, Text]: + xs_patches.append(feat2draw.start) + xs_patches.append(feat2draw.end) + else: + for patch in feat2draw.patches: + # print("patch", patch, type(patch)) + # print(patch.get_figure().number) + bbox = patch.get_window_extent(renderer=renderer) + # print("bbox", bbox, "bbox.xmax", bbox.xmax, "bbox.xmin", bbox.xmin) + xs_patches.append(bbox.xmax) + xs_patches.append(bbox.xmin) for fname in feat2draw.feat_name: # set the correct dpi to correctly estimate text size. # required by Text class in matplotlib - bbox = fname.get_window_extent(dpi = dpi) - xs_patches.append(bbox.xmax) - xs_patches.append(bbox.xmin) - size_memory[feat_numb]={'left_margin' : min(xs_patches), - 'right_margin' : max(xs_patches)} + # This can be a problem with ax.annotate, bounding box is too wide? + # We do not take into consideration text annotations + #bbox = fname.get_window_extent(dpi = dpi) + #bbox = fname.get_window_extent() + #xs_patches.append(bbox.xmax) + #xs_patches.append(bbox.xmin) + pass + size_memory[feat_numb] = {'left_margin':min(xs_patches), + 'right_margin':max(xs_patches)} ''' Check for collisions both on text and patches''' if feat_numb not in draw_features: - draw=True - for prev_start,prev_end in line_controller: + draw = True + for prev_start, prev_end in line_controller: + # print("line_controller",prev_start, prev_end, size_memory[feat_numb]) if (prev_start <= size_memory[feat_numb]['left_margin'] <= prev_end) or \ (prev_start <= size_memory[feat_numb]['right_margin'] <= prev_end) or \ ((size_memory[feat_numb]['left_margin'] < prev_start < size_memory[feat_numb]['right_margin']) and \ @@ -277,18 +307,28 @@ def _collapse(self, dpi,): else: try: current_y = patch.get_y() + patch.set_y(current_y + self.Ycord) except AttributeError: - current_y = patch.get_position()[1] - patch.set_y(current_y + self.Ycord) + if type(patch) is FancyArrowPatch: + arrow_pos = [list(pos) for pos in patch._posA_posB] + arrow_pos[0][1] = arrow_pos[0][1] + self.Ycord + arrow_pos[1][1] = arrow_pos[1][1] + self.Ycord + patch.set_positions(arrow_pos[0], arrow_pos[1]) + else: + current_y = patch.get_position()[1] + patch.set_y(current_y + self.Ycord) for iname, fname in enumerate(feat2draw.feat_name): y=fname.get_position()[1] feat2draw.feat_name[iname].set_y(y + self.Ycord) - current_x, current_y = fname.xytext - feat2draw.feat_name[iname].xytext = (current_x, current_y + self.Ycord) + feat2draw.Y2 = (y + self.Ycord) + #current_x, current_y = fname.xyann + #feat2draw.feat_name[iname].xytext = (current_x, current_y + self.Ycord) + #print("feat_name ",fname,"y",y,"new y",fname.get_position()[1]) draw_features.append(feat_numb) #if len(draw_features) < len(self.features): + self.Ycord-=self._betw_feat_space line_controller=[] self.drawn_lines += 1 @@ -331,7 +371,7 @@ def _order_by_length(self,): return [feat for (i,feat) in feat_list] - def _draw_ordered_features(self, feat_list = None,): + def _draw_ordered_features(self, feat_list=None,): '''draws one feature per line in the track in the order they are passed''' if not feat_list: feat_list = self.features @@ -357,14 +397,15 @@ def _draw_ordered_features(self, feat_list = None,): current_y = patch.get_position()[1] patch.set_y(current_y + self.Ycord) for iname, fname in enumerate(feat2draw.feat_name): - y=fname.get_position()[1] + y = fname.get_position()[1] feat2draw.feat_name[iname].set_y(y + self.Ycord) - current_x, current_y = fname.xytext + #current_x, current_y = fname.xytext + current_x, current_y = fname.xyann feat2draw.feat_name[iname].xytext = (current_x , current_y + self.Ycord) - self.Ycord-=self._betw_feat_space + self.Ycord -= self._betw_feat_space self.drawn_lines += 1 - def _draw_features(self, **kwargs): + def _draw_features(self, fig=None, **kwargs): '''draw features ''' xoffset = kwargs.get('xoffset',0) for feat_numb, feat2draw in enumerate(self.features): @@ -376,18 +417,22 @@ def _draw_features(self, **kwargs): feat2draw.ec = feat2draw.fc else:# color by feature number if not feat2draw.cm_value: - self.norm = colors.normalize(1,len(self.features)+1,) + self.norm = colors.Normalize(1,len(self.features)+1,) feat2draw.cm_value = feat_numb +1 feat2draw.fc = self.cm(self.norm(feat2draw.cm_value)) - feat2draw.draw_feature() - feat2draw.draw_feat_name(xoffset = xoffset) + if False: + # if type(feat2draw) in [PrettyTextSequence, TextSequence]: + feat2draw.draw_feature(fig=fig) + else: + feat2draw.draw_feature() + feat2draw.draw_feat_name(xoffset=xoffset) - def _sort_features(self, dpi = 80, **kwargs): + def _sort_features(self, dpi=80, **kwargs): ''' sort features basing on the chosen mode ''' - self._draw_features(**kwargs) + self._draw_features(fig=plt.gcf(), **kwargs) if self.sort_by =='collapse': - self._collapse(dpi, ) + self._collapse(dpi) elif self.sort_by =='score': feat_list = self._order_by_score() self._draw_ordered_features(feat_list,) @@ -396,6 +441,7 @@ def _sort_features(self, dpi = 80, **kwargs): self._draw_ordered_features(feat_list, ) else: self._draw_ordered_features() + pass @@ -525,4 +571,4 @@ def _draw_features(self, **kwargs): def _sort_features(self, dpi = 80, **kwargs): self._draw_features(**kwargs) - \ No newline at end of file + diff --git a/build/lib.linux-x86_64-2.7/biograpy/__init__.py b/build/lib.linux-x86_64-2.7/biograpy/__init__.py new file mode 100644 index 0000000..5b5a7fb --- /dev/null +++ b/build/lib.linux-x86_64-2.7/biograpy/__init__.py @@ -0,0 +1,4 @@ +from .drawer import Panel +from .seqrecord import SeqRecordDrawer, SliceSeqRec + +__import__('pkg_resources').declare_namespace(__name__) diff --git a/src/biograpy/drawer.py b/build/lib.linux-x86_64-2.7/biograpy/drawer.py similarity index 80% rename from src/biograpy/drawer.py rename to build/lib.linux-x86_64-2.7/biograpy/drawer.py index faceb21..fa67a4b 100644 --- a/src/biograpy/drawer.py +++ b/build/lib.linux-x86_64-2.7/biograpy/drawer.py @@ -11,8 +11,7 @@ ''' import matplotlib, warnings, operator -matplotlib.use('Agg') -import tracks +from .tracks import PlotTrack from matplotlib.font_manager import FontProperties warnings.simplefilter("ignore") @@ -63,8 +62,9 @@ class Panel(object): ''' - def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): - """ """ + def __init__(self, fig=None, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): + """ """ + self.line_aspect_ratio = 20. self.fig_width = fig_width / float(fig_dpi) # fig_height are handled by matplotlib in inches not pixel if fig_height: @@ -81,8 +81,12 @@ def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): else: self.track_padding = kwargs.get('track_padding', 0) self.start_position = kwargs.get('start_position', 0) #changes the start position by adding this value to all x coords - self.padding = kwargs.get('padding', fig_width*.02)#pixel to be used as padding in all 4 directions - self.hpadding = self.padding / float(fig_width) + if fig is not None: + self.fig_width = fig.get_figwidth() + self.dpi = fig.get_dpi() + self.padding = kwargs.get('padding', self.fig_width*float(fig_dpi)*0.0)#pixel to be used as padding in all 4 directions + self.hpadding = self.padding / float(self.fig_width*float(fig_dpi)) + # print("padding",self.fig_width,self.dpi,self.padding,self.hpadding) self.figure_bottom_space = kwargs.get('figure_bottom_space', 0) if self.fig_height: self.vpadding = self.padding / float(fig_height) @@ -92,11 +96,26 @@ def __init__(self, fig_width=1500, fig_height=None, fig_dpi=80, **kwargs): self.xmin = kwargs.get('xmin', None) self.xmax = kwargs.get('xmax', None) - - '''create figure object''' - self.fig = matplotlib.pyplot.figure(1, figsize = (self.fig_width, self.fig_width), dpi = self.dpi, frameon = False) - self.ax = self.fig.add_subplot(111)#needed to make it invisible - ''' ''' + + '''Pass figure as argument, add tracks below the main figure.''' + if fig is not None: + self.use_existing_figure = True + self.ax = fig.axes[0] + # self.ax = fig.add_subplot(212, sharex=fig.axes[0]) + self.fig = fig # use existing figure + #self.fig_height = fig.get_figheight() # will be computed by draw_tracks + self.existing_fig_height = fig.get_figheight() + self.xmin = int(self.ax.get_xlim()[0]) + self.xmax = int(self.ax.get_xlim()[1]) + self.hpadding = self.ax.get_position().x0 + # print("existing figure",self.fig_width, self.xmin, self.xmax, self.hpadding, self.ax.get_position().width) + else: + self.use_existing_figure = False + '''create figure object''' + self.fig = matplotlib.pyplot.figure(1, figsize = (self.fig_width, self.fig_width), dpi = self.dpi, frameon = False) + self.ax = self.fig.add_subplot(111)#needed to make it invisible + self.ax.set_axis_off() + def add_track(self, track): """ @@ -120,21 +139,22 @@ def extend(self, tracks): self.add_track(track) def _estimate_fig_height(self,): - return self.drawn_lines*self.fig_width/30. + # the denominator is the aspect ratio of a single track + return self.drawn_lines*self.fig_width/self.line_aspect_ratio def _draw_tracks(self, **kwargs): '''create an axis for each track and moves accordingly all the child features''' - self.ax.set_axis_off() self.Drawn_objects = [] self.track_axes = [] draw_xmin = kwargs.get('xmin', None) draw_xmax = kwargs.get('xmax', None) - if draw_xmin: + if draw_xmin is not None: self.xmin = draw_xmin - if draw_xmax: + if draw_xmax is not None: self.xmax = draw_xmax + '''estimate track height using track.drawn_lines find max and min x coords, and check for colorbar presence in at least one track''' @@ -144,12 +164,12 @@ def _draw_tracks(self, **kwargs): track_height_user_specified = False for track in self.tracks: if track.features:#skip tracks with no features - if track.track_height and self.fig_height: #if not fig_height is specified user track heights are ignored + if track.track_height and self.fig_height: #if not fig_height is specified user track heights are ignored track_height_user_specified = True if track_height_user_specified and not track.track_height: - track_height_user_specified = False #disable if some track has not a specified heigth + track_height_user_specified = False #disable if some track has not a specified heigth warnings.warn('All tracks need to have a specified track_height, reverting to automatic track height') - track._sort_features(dpi = self.dpi, xoffset = self.xmin)#THIS WILL DRAW ALL THE FEATURES + track._sort_features(dpi=self.dpi, xoffset=self.xmin) #THIS WILL DRAW ALL THE FEATURES if track.draw_cb: if cbars != 'label': cbars = 'simple' @@ -158,15 +178,24 @@ def _draw_tracks(self, **kwargs): self.drawn_lines += track.drawn_lines Xs.append(track.xmin) Xs.append(track.xmax) - if self.xmin == None: - self.xmin = min(Xs) - if self.xmax == None: - self.xmax =max(Xs) + if self.xmin is None: + self.xmin = min(Xs) if Xs != [] else 0 + if self.xmax is None: + self.xmax = max(Xs) '''auto estimate fig_heigth and panning if needed ''' - if not self.fig_height:#automatcally set fig height basing on the total number of features - self.fig_height=self._estimate_fig_height() + if not self.fig_height: #automatically set fig height basing on the total number of features + self.fig_height = self._estimate_fig_height() self.vpadding = (float(self.padding)/self.dpi) / self.fig_height self.vtrack_padding = (float(self.track_padding)/self.dpi) / self.fig_height + #print("vtrack_padding", self.fig_height, self.padding, self.track_padding, self.dpi, self.fig_height, self.vpadding, self.vtrack_padding) + + if self.use_existing_figure: + self.axisHeightScaling = self.fig_height / self.existing_fig_height + # print("self.axisHeightScaling", self.axisHeightScaling) + # plt.gcf().set_figheight(self.existing_fig_height + self.fig_height) + # plt.gcf().subplots_adjust(bottom=self.axisHeightScaling) + else: + self.axisHeightScaling = 1.0 '''set colorbar dimension ''' if cbars == 'label': @@ -182,11 +211,20 @@ def _draw_tracks(self, **kwargs): axis_left_pad = self.hpadding default_figure_bottom_space = self.vpadding + float(self.figure_bottom_space)/self.dpi - axis_bottom_pad = 1.0 - default_figure_bottom_space + if self.use_existing_figure: + default_figure_bottom_space = 0. + axis_bottom_pad = 0.0 - default_figure_bottom_space + else: + axis_bottom_pad = 1.0 - default_figure_bottom_space axis_width = 1.-2*self.hpadding axis_scale = None# used to persist the same scale on all the tracks if cbars: axis_width -= (cbar_extent + cbar_axis_space + cbar_right_pad) + if self.use_existing_figure: + # Use the same axis width as the figure + axis_width = self.ax.get_position().width + + '''cycle trought tracks and draw them as axix object ''' #canvas_height = 0 for track_num, track in enumerate(self.tracks): @@ -198,16 +236,17 @@ def _draw_tracks(self, **kwargs): if axis_scale: axis_height = axis_scale * track.drawn_lines else: - axis_height = (float(track.drawn_lines)/self.drawn_lines) - self.vpadding/(2.*len(self.tracks)) - default_figure_bottom_space/len(self.tracks) + axis_height = (float(track.drawn_lines)/self.drawn_lines) - self.vpadding/(2.*len(self.tracks)) axis_scale = axis_height / float(track.drawn_lines) axis_bottom_pad -= (axis_height + self.vtrack_padding/2.) - axis = matplotlib.pyplot.axes([axis_left_pad,axis_bottom_pad, axis_width, axis_height ],) + axis = matplotlib.pyplot.axes([axis_left_pad, axis_bottom_pad*self.axisHeightScaling, + axis_width, axis_height*self.axisHeightScaling ], label=track_num) self.track_axes.append(axis) '''handle track axis display, ticks and tickslabel ''' '''set Y lims ''' - if isinstance(track, tracks.PlotTrack): + if isinstance(track, PlotTrack): if track.show_name: if track.show_name == 'top': axis.set_ylim(track.Ycord, track.ymax+1) @@ -300,9 +339,7 @@ def _draw_tracks(self, **kwargs): X_major_ticks_labels.append(i) axis.set_xticklabels(X_major_ticks_labels, fontsize=track.tickfontsize) if track.x_use_sequence: - try: - axis.xaxis.set_tick_params(pad = 15, ) - except: pass #not supported in matplotlib <1 + axis.xaxis.set_tick_params(pad = 15, ) else: axis.set_xticklabels([]) @@ -351,7 +388,7 @@ def _draw_tracks(self, **kwargs): Y_major_ticks_labels = track.yticklabels_major else: Y_major_ticks = None - if ('left' in track.draw_axis) and track.yticks_major: + if ('left' in track.draw_axis) and track.yticks_major: axis.set_yticks(Y_major_ticks) '''major ticks labels ''' if Y_major_ticks and track.show_yticklabels: @@ -361,23 +398,21 @@ def _draw_tracks(self, **kwargs): Y_major_ticks_labels.append(i) axis.set_yticklabels(Y_major_ticks_labels, fontsize=track.tickfontsize) else: - try: - axis.yaxis.set_tick_params(labelsize = track.tickfontsize) - except: pass #not supported in matplotlib <1 + axis.yaxis.set_tick_params(labelsize=track.tickfontsize) '''minor Y ticks ''' Y_minor_ticks_labels = None - if track.yticks_minor != None: + if track.yticks_minor is not None: Y_minor_ticks = track.yticks_minor - if (track.yticklabels_minor != None) \ + if (track.yticklabels_minor is not None) \ and len(track.yticklabels_minor) == len(track.yticks_minor): Y_minor_ticks_labels = track.yticklabels_minor else: Y_minor_ticks = None - if ('left' in track.draw_axis) and track.yticks_minor: + if ('left' in track.draw_axis) and track.yticks_minor: axis.set_yticks(Y_minor_ticks, minor=True) '''minor ticks labels ''' if Y_minor_ticks and track.show_yticklabels: - if Y_minor_ticks_labels == None: + if Y_minor_ticks_labels is None: Y_minor_ticks_labels = [] for i in Y_minor_ticks: if i in Y_major_ticks: @@ -386,9 +421,8 @@ def _draw_tracks(self, **kwargs): Y_minor_ticks_labels.append(i) axis.set_yticklabels(Y_minor_ticks_labels, fontsize=track.tickfontsize_minor, minor=True) else: - try: - axis.yaxis.set_tick_params(which= 'minor', labelsize = track.tickfontsize) - except: pass #not supported in matplotlib <1 + axis.yaxis.set_tick_params(which='minor', labelsize=track.tickfontsize) + @@ -413,8 +447,10 @@ def _draw_tracks(self, **kwargs): else: axis.add_artist(patch) patch.set_transform(axis.transData)# IMPORTANT WORKAROUND!!! if not manually set, transform is not passed correctly in Line2D objects - + + feature.draw_feat_name(ax=axis) for feat_name in feature.feat_name: + #feat_name.set_visible(True) axis.add_artist(feat_name) if track.draw_cb: @@ -426,9 +462,9 @@ def _draw_tracks(self, **kwargs): break cb1 = matplotlib.colorbar.ColorbarBase(cb_axis, cmap=track.cm, - norm=track.norm, - alpha = track.cb_alpha, - orientation='vertical') + norm=track.norm, + alpha = track.cb_alpha, + orientation='vertical') if track.cb_label: cb1.set_label(track.cb_label) #cb_axis.axes.set_axis_off() @@ -441,35 +477,37 @@ def _draw_tracks(self, **kwargs): legend_font.set_family('serif') legend_font.set_weight('normal') axis.legend(prop = legend_font) - - '''set panel size and panning ''' - self.fig.set_figheight(self.fig_height) - self.fig.set_figwidth(self.fig_width) + + if not self.use_existing_figure: + '''set panel size and panning ''' + self.fig.set_figheight(self.fig_height) + self.fig.set_figwidth(self.fig_width) + def _boxes(self): '''must be called after Drawer.save(output) ''' if not getattr(self, 'Drawn_objects', None): self._draw_tracks() - trans = self.fig.get_transform() # transform should not be necessary if the plot was already plotted + trans = self.fig.get_transform() # transform should not be necessary if the plot was already plotted dpi = self.fig.get_dpi() # XXX: img_width unused ??? # img_width = self.fig.get_figwidth() * dpi img_height = self.fig.get_figheight() * dpi for obj in self.Drawn_objects: - xs_patches=[] - ys_patches=[] + xs_patches = [] + ys_patches = [] for patch in obj.patches: if isinstance(patch,list): for p in patch: - bbox=p.get_window_extent(None) + bbox = p.get_window_extent(None) xs_patches.append(bbox.xmax) xs_patches.append(bbox.xmin) ys_patches.append(bbox.ymax) ys_patches.append(bbox.ymin) else: try: - bbox=patch.get_window_extent(None) + bbox = patch.get_window_extent(None) xs_patches.append(bbox.xmax) xs_patches.append(bbox.xmin) ys_patches.append(bbox.ymax) @@ -493,24 +531,24 @@ def _create_html_map(self, map_name = 'biograpy-map', map_id = 'biograpy-map', t returns the corresponding html map from self.Drawn_objects in self.htmlmap target ---> set target="_blank" on area links if needed """ - areas =[] + areas=[] for box in self._boxes(): if box['proceed']: obj = box['feature'] - area_dict = dict(shape = 'rect', # shape: rect, circle, poly - coords = '%(left)i,%(top)i,%(right)i,%(bottom)i' % box, - href = obj.url or '#%s'%obj.name, #href - target = target, - script = obj.html_map_extend, - alt = obj.name ) + area_dict = dict(shape='rect', # shape: rect, circle, poly + coords='%(left)i,%(top)i,%(right)i,%(bottom)i' % box, + href=obj.url or '#%s' % obj.name, #href + target=target, + script=obj.html_map_extend, + alt=obj.name ) area_html = '''%(alt)s''' % area_dict areas.append(area_html) - self.htmlmap ='''\n %s \n'''%(map_name, map_id, '\n'.join(areas)) + self.htmlmap ='''\n %s \n''' % (map_name, map_id, '\n'.join(areas)) return - def save(self, output, html_target='_self', xmin = None, xmax = None, **kwargs): + def save(self, output, html_target='_self', xmin=None, xmax=None, **kwargs): ''' input parameters are: @@ -542,9 +580,10 @@ def save(self, output, html_target='_self', xmin = None, xmax = None, **kwargs): if output[-3:] in ('png', 'jpg', 'jpeg'): create_html_map = True if create_html_map: - self._create_html_map(target = html_target, **kwargs)# do it just for png file + # self._create_html_map(target = html_target, **kwargs)# do it just for png file + pass - matplotlib.pyplot.savefig(output, dpi=self.fig.get_dpi(), **kwargs) + matplotlib.pyplot.savefig(output, dpi=self.fig.get_dpi(), bbox_inches='tight', **kwargs) def close(self): diff --git a/build/lib/biograpy/features.py b/build/lib.linux-x86_64-2.7/biograpy/features.py similarity index 72% rename from build/lib/biograpy/features.py rename to build/lib.linux-x86_64-2.7/biograpy/features.py index bbc1139..a96484c 100644 --- a/build/lib/biograpy/features.py +++ b/build/lib.linux-x86_64-2.7/biograpy/features.py @@ -20,8 +20,16 @@ import matplotlib.cm as cm from matplotlib.lines import Line2D from matplotlib.text import Text -from matplotlib.patches import Rectangle,Circle, Wedge, Polygon,FancyBboxPatch, FancyArrow +from matplotlib.patches import Rectangle,Circle, Wedge, Polygon,FancyBboxPatch, FancyArrow, FancyArrowPatch, ArrowStyle from matplotlib.colors import Normalize,LogNorm,ListedColormap,LinearSegmentedColormap +from Bio.SeqFeature import ExactPosition, CompoundLocation + + +defaultFontSize = 11 +defaultFontSizeScalingFactor = 110 # Works well for monospace font +textFeatureHeight = 1.1 +arrowHeadLengthRelative = 0.01 + class BaseGraphicFeature(object): @@ -99,38 +107,91 @@ class BaseGraphicFeature(object): ''' - default_cm='winter'#deafult matplotlib colormap to use + default_cm = 'winter' #deafult matplotlib colormap to use def __init__(self, **kwargs): ''' init ''' - self.name=kwargs.get('name','') - self.type=kwargs.get('type','') - self.score=kwargs.get('score',0.) - self.height=kwargs.get('height',1.) + self.name = kwargs.get('name','') + self.type = kwargs.get('type','') + self.score = kwargs.get('score',0.) + self.height = kwargs.get('height',1.) # html map options - self.url = kwargs.get('url','') - self.html_map_extend = kwargs.get('html_map_extend','') + self.url = kwargs.get('url','') + self.html_map_extend = kwargs.get('html_map_extend','') #feature style options self.cm = cm.get_cmap(kwargs.get('cm', self.default_cm)) self.color_by_cm = kwargs.get('color_by_cm',True) self.cm_value = kwargs.get('cm_value',None) - self.use_score_for_color=kwargs.get('use_score_for_color',False) + self.use_score_for_color = kwargs.get('use_score_for_color',False) if self.use_score_for_color: self.color_by_cm = True self.fc = kwargs.get('fc', self.cm(self.cm_value or 0)) self.ec = kwargs.get('ec', None) - self.lw = kwargs.get('lw',0.5) + self.lw = kwargs.get('lw', 0.5) self.ls = kwargs.get('ls','-') - self.alpha=kwargs.get('alpha',.8) - self.boxstyle=kwargs.get('boxstyle','square, pad=0.') - self.Y=0.0 - self.patches = [] # all the patches must be returned inside this list - self.feat_name= [] # all the patches labels must be returned inside this list + self.alpha = kwargs.get('alpha',.8) + self.boxstyle = kwargs.get('boxstyle','square, pad=0.') + self.Y = 0.0 + self.Y2 = 0.0 + self.patches = [] # all the patches must be returned inside this list + self.feat_name = [] # all the patches labels must be returned inside this list self.norm = kwargs.get('norm', None) + def find_arrow_dimensions(self, start, end, verbose=0): + # verbose = 2 + # The following mess is needed because FancyArrowPatch only takes arrow head widths and lengths + # in points (1/72 inches), the method is meant to draw arrows independently of axes sizes, same as a text annotation. + # Because we want to set the arrow size relative to the axis, we have to transform between + # coordinates systems: data, axis, display pixels and inches and points. + # What a mess!!! + + # Adjust the arrow head length relative to the axis width + axis_to_data = plt.gca().transAxes + plt.gca().transData.inverted() + headLengthData = (axis_to_data.transform((arrowHeadLengthRelative, 0))[0] - + axis_to_data.transform((0, 0))[0]) + if verbose >= 2: print("headLengthData1", headLengthData) + if headLengthData > end - start: + headLengthData = 0.75*(end - start) + if verbose >= 2: print("(end - start)", (end - start), "automaticHeadLengthData2", headLengthData) + + # Adjust body and head widths as fixed values in data coordinates + bodyWidthData = self.height*1.0 + headWidthData = self.height*1.5 + + # Convert all measures to x and y display inches and points + data_to_display = plt.gca().transData + xDataUnitInDisplayInches = (data_to_display.transform((1, 0))[0] - + data_to_display.transform((0, 0))[0]) / plt.gcf().get_dpi() + yDataUnitInDisplayInches = (data_to_display.transform((0, 1))[1] - + data_to_display.transform((0, 0))[1]) / plt.gcf().get_dpi() + xDataUnitInDisplayPt = xDataUnitInDisplayInches*72 + yDataUnitInDisplayPt = yDataUnitInDisplayInches*72 + if verbose >= 2: + print("xDataUnitInDisplayInches", xDataUnitInDisplayInches) + print("yDataUnitInDisplayInches", yDataUnitInDisplayInches) + print("xDataUnitInDisplayPt", xDataUnitInDisplayPt) + print("yDataUnitInDisplayPt", yDataUnitInDisplayPt) + + headLengthInches = headLengthData*xDataUnitInDisplayInches + bodyWidthInches = bodyWidthData*yDataUnitInDisplayInches + headWidthInches = headWidthData*yDataUnitInDisplayInches + if verbose >= 2: + print("headLengthInches", headLengthInches) + print("headWidthData", headWidthData, "headWidthInches", headWidthInches) + + headLengthPoints = headLengthInches*72 + bodyWidthPoints = bodyWidthInches*72 + headWidthPoints = headWidthInches*72 + + return (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) + + + def draw_feat_name(self,**kwargs): '''calling self.draw_feat_name() agailn will overwrite the previous \ feature name stored in self.feat_name @@ -151,18 +212,24 @@ def draw_feat_name(self,**kwargs): self.feat_name = [] font_feat = FontProperties() set_size = kwargs.get('set_size','x-small') + ax = kwargs.get('ax',plt.gca()) set_family = kwargs.get('set_family','serif') set_weight = kwargs.get('set_weight','normal') - va=kwargs.get('va','top') - ha=kwargs.get('ha','left') - xoffset = kwargs.get('xoffset',0)# + va = kwargs.get('va','top') + ha = kwargs.get('ha','left') + xoffset = kwargs.get('xoffset',0) font_feat.set_size(set_size) font_feat.set_family(set_family) font_feat.set_weight(set_weight) text_x = self.start if (self.start < xoffset) and (xoffset <= self.end): - text_x+= xoffset - self.feat_name = [plt.annotate(self.name, xy = (text_x, self.Y), xytext = (text_x, self.Y - self.height/5.), fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] + text_x += xoffset + #print("drawing feature name", self.name, (text_x, self.Y), (text_x, self.Y - self.height/5.), self.Y2) + #self.feat_name = [ax.annotate(self.name, xy = (text_x, self.Y2), xytext = (text_x, self.Y2 - self.height/5.), fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] + #for fname in self.feat_name: + # fname.set_visible(False) + self.feat_name = [Text(x=text_x, y=self.Y2 - 0.12*self.height, text=self.name, + fontproperties=font_feat, horizontalalignment=ha, verticalalignment=va)] class Simple(BaseGraphicFeature): @@ -181,17 +248,18 @@ def __init__(self,start,end,**kwargs): self.start = start self.end = end - def draw_feature(self): - feat_draw=FancyBboxPatch((self.start,self.Y), - width=(self.end-self.start), - height=self.height, - boxstyle=self.boxstyle, - lw=self.lw, - ec=self.ec, - fc=self.fc, - alpha=self.alpha, - url = self.url, - mutation_aspect = 0.3) + + def draw_feature(self): + feat_draw = FancyBboxPatch((self.start,self.Y), + width=(self.end-self.start), + height=self.height, + boxstyle=self.boxstyle, + lw=self.lw, + ec=self.ec, + fc=self.fc, + alpha=self.alpha, + url=self.url, + mutation_aspect=0.3) self.patches.append(feat_draw) @@ -218,11 +286,11 @@ def __init__(self,feature,**kwargs): ''' BaseGraphicFeature.__init__(self,**kwargs) - self.start=kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) - self.end=kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) - self.type=kwargs.get('type',feature.type) + self.start = kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) + self.end = kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) + self.type = kwargs.get('type',feature.type) if 'score' in feature.qualifiers: - self.score=kwargs.get('score',feature.qualifiers['score']) + self.score = kwargs.get('score',feature.qualifiers['score']) def draw_feature(self): @@ -260,45 +328,71 @@ class GeneSeqFeature(BaseGraphicFeature): def __init__(self,feature,exons=[],**kwargs): BaseGraphicFeature.__init__(self,**kwargs) - self.height=kwargs.get('height',2.) - self.start=kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) - self.end=kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) - default_head_length = 10 - if abs(self.end - self.start<= 50): + self.height = kwargs.get('height',1.) + self.start = kwargs.get('start',min([feature.location.start.position,feature.location.end.position])) + self.end = kwargs.get('end',max([feature.location.start.position,feature.location.end.position])) + default_head_length = 35 + if abs(self.end - self.start <= 50): default_head_length = (self.end-self.start)/10. - self.head_length=kwargs.get('head_length',default_head_length) - self.type=kwargs.get('type','gene') - self.feature=feature - self.exons=exons + self.head_length = kwargs.get('head_length', default_head_length) + self.type = kwargs.get('type','gene') + self.feature = feature + self.exons = exons def draw_feature(self): - self.patches=[] - if self.feature.strand==1: - arrow_start=self.start - arrow_direction=self.end-self.start - shape='right' - body_width=self.height*.6667 - head_width=self.height - elif self.feature.strand==-1: - arrow_start=self.end - arrow_direction=-self.end-self.start - shape='left' - body_width=self.height*.6667 - head_width=self.height + + (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) = self.find_arrow_dimensions(self.start, self.end) + + self.patches = [] + if self.feature.strand == 1: + arrow_start = self.start + arrow_direction = self.end - self.start + elif self.feature.strand == -1: + arrow_start = self.end + arrow_direction = self.start - self.end else: raise ValueError('Gene feature must have strand equal to 1 or -1') - feat_draw=FancyArrow(arrow_start, self.Y, dx=arrow_direction, dy=0, ec=self.ec, - fc=self.fc,alpha=self.alpha, width=body_width, head_length = self.head_length, - head_width=head_width,lw=self.lw,length_includes_head=True, - shape=shape, head_starts_at_zero=False) + + # feat_draw = FancyArrowPatch( + # (arrow_start, self.Y + 0.5), + # (arrow_start + arrow_direction, self.Y + 0.5), + # arrowstyle=ArrowStyle('simple', + # head_length=headLengthInches, + # head_width=headWidthInches, + # tail_width=bodyWidthInches), + # ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + # mutation_scale=1) + + # feat_draw = FancyArrowPatch( + # (arrow_start, self.Y + 0.5), + # (arrow_start + arrow_direction, self.Y + 0.5), + # arrowstyle=ArrowStyle('simple', + # head_length=headLengthPoints, + # head_width=headWidthPoints, + # tail_width=bodyWidthPoints), + # ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + # mutation_scale=1) + + feat_draw = FancyArrow( + x=arrow_start, y=self.Y + self.height/2., dx=arrow_direction, dy=0, + ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + width=bodyWidthData, + head_length=headLengthData, + head_width=headWidthData, + length_includes_head=True, head_starts_at_zero=False) + self.patches.append(feat_draw) - for exon in self.exons: - feat_draw=FancyBboxPatch((int(exon.location.start.position),self.Y), - width=(int(exon.location.end.position)-int(exon.location.start.position)), - height=body_width/2., boxstyle=self.boxstyle,lw=0, ec=self.ec, - fc=self.fc,alpha=self.alpha+0.1, url = self.url,) - self.patches.append(feat_draw) + + # for exon in self.exons: + # feat_draw = FancyBboxPatch( + # (int(exon.location.start.position),self.Y), + # width=(int(exon.location.end.position)-int(exon.location.start.position)), + # height=body_width/2., boxstyle=self.boxstyle,lw=0, ec=self.ec, + # fc=self.fc,alpha=self.alpha+0.1, url=self.url,) + # self.patches.append(feat_draw) class TextSequence(BaseGraphicFeature): @@ -319,7 +413,7 @@ class TextSequence(BaseGraphicFeature): set_family as in matplotlib, default is ``'monospace'`` set_weight as in matplotlib, default is ``'normal'`` va as in matplotlib, default is ``'bottom'`` - ha as in matplotlib, default is ``'left'`` + ha as in matplotlib, default is ``'center'`` ===================== ================================================== Usage eg. @@ -333,37 +427,151 @@ class TextSequence(BaseGraphicFeature): def __init__(self,sequence,**kwargs): BaseGraphicFeature.__init__(self,**kwargs) + self.height = kwargs.get('height', textFeatureHeight) self.sequence = sequence self.start = kwargs.get('start',0) self.end = kwargs.get('end', self.start + len(self.sequence)) - self.set_size = kwargs.get('set_size','xx-small') + self.customFontSize = 'set_size' in kwargs + self.set_size = kwargs.get('set_size','medium') self.set_family = kwargs.get('set_family','monospace') self.set_weight = kwargs.get('set_weight','normal') self.va = kwargs.get('va','bottom') - self.ha = kwargs.get('ha','left') - self.font_feat=FontProperties() - self.font_feat.set_size(self.set_size) - self.font_feat.set_family(self.set_family) - self.font_feat.set_weight(self.set_weight) + self.ha = kwargs.get('ha','center') + self.fontProp = FontProperties() + self.fontProp.set_size(self.set_size) + self.fontProp.set_family(self.set_family) + self.fontProp.set_weight(self.set_weight) def draw_feature(self): - self.patches=[] + if not self.customFontSize: + # Adjust default text size such that we uses the biggest font size possible to fill all the space + # between two positions. The idea is to make the font size proportional to the distance + # in inches between position i and i+1 (distance 1 in axis coordinates). + width1AxisUnitInDisplayPixels = plt.gca().transData.transform((1, 0))[0] - plt.gca().transData.transform((0, 0))[0] + width1AxisUnitInDisplayInches = width1AxisUnitInDisplayPixels / plt.gcf().get_dpi() + self.fontProp.set_size(width1AxisUnitInDisplayInches*defaultFontSizeScalingFactor) + + self.patches = [] for i, char in enumerate(self.sequence): - '''self.patches.append(plt.annotate(char, - xy = (self.start + i, 0), - xytext = (self.start + i, 0-self.height/5.), - fontproperties = self.font_feat, - horizontalalignment = self.ha, - verticalalignment = self.va ))''' - self.patches.append(Text(x = self.start + i, - y= 0, - text = char, - fontproperties = self.font_feat, - horizontalalignment = self.ha, - verticalalignment = self.va, - url = self.url, )) - + self.patches.append(Text(x=self.start + i, + y=0, + text=char, + fontproperties=self.fontProp, + horizontalalignment=self.ha, + verticalalignment=self.va, + url=self.url)) + + + +class PrettyTextSequence(BaseGraphicFeature): + """ + characterList should be a list of (character, attributeDictionary). + """ + + def __init__(self, sequence, highlightList=None, **kwargs): + + BaseGraphicFeature.__init__(self,**kwargs) + self.sequence = sequence + self.highlightList = highlightList + self.height = kwargs.get('height', textFeatureHeight) + self.start = kwargs.get('start', 0) + self.end = kwargs.get('end', self.start + len(self.sequence)) + self.hasCustomGeneralFontSize = 'set_size' in kwargs + self.set_size = kwargs.get('set_size','medium') + self.set_family = kwargs.get('set_family','monospace') + self.set_weight = kwargs.get('set_weight','normal') + self.va = kwargs.get('va','bottom') + self.ha = kwargs.get('ha','center') + self.fontProp = FontProperties() + self.fontProp.set_size(self.set_size) + self.fontProp.set_family(self.set_family) + self.fontProp.set_weight(self.set_weight) + def draw_feature(self): + + if not self.hasCustomGeneralFontSize: + # Adjust default text size such that we uses the biggest font size possible to fill all the space + # between two positions. The idea is to make the font size proportional to the distance + # in inches between position i and i+1 (distance 1 in axis coordinates). + width1AxisUnitInDisplayPixels = plt.gca().transData.transform((1, 0))[0] - plt.gca().transData.transform((0, 0))[0] + width1AxisUnitInDisplayInches = width1AxisUnitInDisplayPixels / plt.gcf().get_dpi() + automaticFontSize = width1AxisUnitInDisplayInches*defaultFontSizeScalingFactor + self.fontProp.set_size(automaticFontSize) + + self.patches = [] + + # Transform the sequence in a list of (char, propArgsDict) + if type(self.sequence) is str: + self.sequence = list(self.sequence) + + for i, charTuple in enumerate(self.sequence): + if type(charTuple) is str: + # We only have a character without any custom font properties + char = charTuple + propArgsDict = {'fontproperties':self.fontProp.copy()} + + # Add default font properties if needed + if 'fontproperties' not in propArgsDict: + propArgsDict['fontproperties'] = self.fontProp.copy() + + # Update char tuple + self.sequence[i] = (char, propArgsDict) + + # Apply highlighting + if self.highlightList is not None: + for highlightRegion in self.highlightList: + bc = highlightRegion.get('background_color') + if bc is None: + bc = highlightRegion.get('bc') + bc_alpha = highlightRegion.get('background_color_alpha') + if bc_alpha is None: + bc_alpha = highlightRegion.get('bc_alpha') + fc = highlightRegion.get('foreground_color') + if fc is None: + fc = highlightRegion.get('fc') + weight = highlightRegion.get('weight') + + for i in range(highlightRegion['start'], highlightRegion['end']): + char, propArgsDict = self.sequence[i] + if bc is not None: + bc_alpha = 1.0 if bc_alpha is None else bc_alpha + propArgsDict['bbox'] = dict(facecolor=bc, alpha=bc_alpha, edgecolor='none', lw=0, pad=0.1) + if fc is not None: + propArgsDict['color'] = fc + if weight is not None: + propArgsDict['fontproperties'].set_weight(weight) + # print("highlight", i, fc, bc, bc_alpha, weight, "propArgsDict", propArgsDict) + + for i, charTuple in enumerate(self.sequence): + (char, propArgsDict) = charTuple + + # Adjust the font size automatically, unless explicitly defined as custom size in the font properties dictionary + # Note that here we override any font size that would be defined in the FontProperties object passed in + # `propArgsDict['fontproperties']`. This is because there is no way to know if the FontProperties object uses + # the default font size or a user defined font size. We make it explicit by requiring the custom font size + # as a separate option in the `propArgsDict`. + customFontSize = propArgsDict.get('size') + if customFontSize is not None: + propArgsDict['fontproperties'].set_size(customFontSize) + else: + propArgsDict['fontproperties'].set_size(automaticFontSize) + + # If the font size is too small, we do not draw any feature + if propArgsDict['fontproperties'].get_size() > 3: + feat_draw = Text(x=self.start + i, + y=0, + text=char, + horizontalalignment=self.ha, + verticalalignment=self.va, + **propArgsDict) + # # Here we plot directly the text on the current figure, however we will have to remove from it afterwards + # feat_draw = fig.text(self.start + i, 0, char, + # horizontalalignment=self.ha, + # verticalalignment=self.va, + # **propArgsDict) + self.patches.append(feat_draw) + + class PlotFeature(BaseGraphicFeature): ''' @@ -630,34 +838,40 @@ class CoupledmRNAandCDS(BaseGraphicFeature): ''' - def __init__(self,mRNA,CDS,**kwargs): + def __init__(self, mRNA, CDS, **kwargs): ''' ''' BaseGraphicFeature.__init__(self,**kwargs) - self.mRNA_start=kwargs.get('mRNA_start',min([mRNA.location.start.position,mRNA.location.end.position])) - self.mRNA_end=kwargs.get('mRNA_end',max([mRNA.location.start.position,mRNA.location.end.position])) - self.CDS_start=kwargs.get('CDS_start',min([CDS.location.start.position,CDS.location.end.position])) - self.CDS_end=kwargs.get('CDS_end',max([CDS.location.start.position,CDS.location.end.position])) + self.mRNA_start = kwargs.get('mRNA_start',min([mRNA.location.start.position,mRNA.location.end.position])) + self.mRNA_end = kwargs.get('mRNA_end',max([mRNA.location.start.position,mRNA.location.end.position])) + self.CDS_start = kwargs.get('CDS_start',min([CDS.location.start.position,CDS.location.end.position])) + self.CDS_end = kwargs.get('CDS_end',max([CDS.location.start.position,CDS.location.end.position])) self.start = self.mRNA_start self.end = self.mRNA_end - self.type=kwargs.get('type','mRNA') + self.type = kwargs.get('type','mRNA') if 'score' in mRNA.qualifiers: - self.score=kwargs.get('score',mRNA.qualifiers['score']) - self.mRNA=mRNA - self.CDS=CDS - self.ec=kwargs.get('ec','k') + self.score = kwargs.get('score',mRNA.qualifiers['score']) + self.mRNA = mRNA + self.CDS = CDS + self.ec = kwargs.get('ec','k') + # Arrow head length + default_head_length = 35 + if abs(self.end - self.start <= 50): + default_head_length = (self.end-self.start)/10. + self.head_length = kwargs.get('head_length', default_head_length) def draw_feature(self): + #draw mRNA - if len(self.mRNA.sub_features): - junction_start=False - if self.mRNA.strand==-1: + if type(self.mRNA.location) is CompoundLocation: + junction_start = False + if self.mRNA.strand == -1: self.mRNA.sub_features.reverse() for sub_feature in self.mRNA.sub_features: - if sub_feature.location_operator=='join': - feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha-0.5, url = self.url,) + if sub_feature.location_operator == 'join': + feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha-0.7, url = self.url,) self.patches.append(feat_draw) if junction_start: junction_end=float(sub_feature.location.start.position) @@ -667,22 +881,47 @@ def draw_feature(self): join=plt.plot([junction_start,junction_middle,junction_end],[Yends,Ymiddle,Yends], lw=0.5 ,ls='-', c=self.ec,alpha=0.5) self.patches.extend(join) junction_start=float(sub_feature.location.end.position) - else:#if SegmentedSeqFeature is called whihout subfeatures returns a GenericSeqFeature - feat_draw=FancyBboxPatch((self.mRNA_start,self.Y), width=(self.mRNA_end-self.mRNA_start), height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha, url = self.url,) + else: + feat_draw = FancyBboxPatch((self.mRNA_start, self.Y), width=(self.mRNA_end-self.mRNA_start), + height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, + fc=self.fc,alpha=self.alpha-0.5, url=self.url,) self.patches.append(feat_draw) - #draw CDS - if len(self.CDS.sub_features): - junction_start=False - if self.CDS.strand==-1: + + # draw CDS + if type(self.CDS.location) is CompoundLocation: + # Note: this is probably not correct for the newer Biopython CompoundLocation class... + junction_start = False + if self.CDS.strand == -1: self.CDS.sub_features.reverse() for sub_feature in self.CDS.sub_features: - if sub_feature.location_operator=='join': - feat_draw=FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=0, ec=self.ec, fc=self.fc,alpha=self.alpha,) + if sub_feature.location_operator == 'join': + feat_draw = FancyBboxPatch((int(sub_feature.location.start.position),self.Y), width=(int(sub_feature.location.end.position)-int(sub_feature.location.start.position)), height=self.height, boxstyle=self.boxstyle,lw=0, ec=self.ec, fc=self.fc,alpha=self.alpha,) self.patches.append(feat_draw) - else:#if SegmentedSeqFeature is called whihout subfeatures returns a GenericSeqFeature - feat_draw=FancyBboxPatch((self.CDS_start,self.Y), width=(self.CDS_end-self.CDS_start), height=self.height, boxstyle=self.boxstyle, lw=self.lw, ec=self.ec, fc=self.fc,alpha=self.alpha,) + else: + (headLengthData, bodyWidthData, headWidthData, + headLengthInches, bodyWidthInches, headWidthInches, + headLengthPoints, bodyWidthPoints, headWidthPoints) = self.find_arrow_dimensions(self.CDS_start, self.CDS_end) + + if self.CDS.strand == 1: + arrow_start = self.CDS_start + arrow_direction = self.CDS_end-self.CDS_start + elif self.CDS.strand == -1: + arrow_start = self.CDS_end + arrow_direction = self.CDS_start-self.CDS_end + else: + raise ValueError('Gene feature must have strand equal to 1 or -1') + shape = 'full' # if we prefer a full arrow instead of half arrow head. + + feat_draw = FancyArrow( + x=arrow_start, y=self.Y + self.height/2., dx=arrow_direction, dy=0, + ec=self.ec, fc=self.fc, alpha=self.alpha, lw=self.lw, + width=bodyWidthData, + head_length=headLengthData, + head_width=headWidthData, + length_includes_head=True, head_starts_at_zero=False) + self.patches.append(feat_draw) - + diff --git a/src/biograpy/seqrecord.py b/build/lib.linux-x86_64-2.7/biograpy/seqrecord.py similarity index 99% rename from src/biograpy/seqrecord.py rename to build/lib.linux-x86_64-2.7/biograpy/seqrecord.py index 6bdb497..5ce2db3 100644 --- a/src/biograpy/seqrecord.py +++ b/build/lib.linux-x86_64-2.7/biograpy/seqrecord.py @@ -274,7 +274,7 @@ def draw_features_ordered_by_gene_struct(self,gene_code=None): gene_name=' - '.join(Lgene_name) break if not gene_code: - raise ValueError, "Cannot draw gene structure, without a gene code" + raise ValueError("Cannot draw gene structure, without a gene code") @@ -390,7 +390,7 @@ def SliceSeqRec(seqrec,start=None,end=None,include_feature=[],exclude_feature=[] if end is None : end = -1 if (start < 0 or end < 0) and parent_length == 0 : - raise ValueError, "Cannot support negative indices without the sequence length" + raise ValueError("Cannot support negative indices without the sequence length") if start < 0 : start = parent_length - start if end < 0 : diff --git a/build/lib/biograpy/tracks.py b/build/lib.linux-x86_64-2.7/biograpy/tracks.py similarity index 84% rename from build/lib/biograpy/tracks.py rename to build/lib.linux-x86_64-2.7/biograpy/tracks.py index 0edd3c1..1ddbcb4 100644 --- a/build/lib/biograpy/tracks.py +++ b/build/lib.linux-x86_64-2.7/biograpy/tracks.py @@ -15,12 +15,32 @@ import matplotlib.colors as colors import matplotlib.cm as cm from matplotlib.lines import Line2D -from matplotlib.patches import Rectangle, Circle, Wedge, Polygon, FancyBboxPatch, FancyArrow +from matplotlib.patches import Rectangle, Circle, Wedge, Polygon, FancyBboxPatch, FancyArrow, FancyArrowPatch from matplotlib.font_manager import FontProperties from matplotlib.text import Annotation +from matplotlib.text import Text +from .features import TextSequence, PrettyTextSequence +def find_renderer(fig): + + if hasattr(fig.canvas, "get_renderer"): + #Some backends, such as TkAgg, have the get_renderer method, which + #makes this easy. + renderer = fig.canvas.get_renderer() + else: + #Other backends do not have the get_renderer method, so we have a work + #around to find the renderer. Print the figure to a temporary file + #object, and then grab the renderer that was used. + #(I stole this trick from the matplotlib backend_bases.py + #print_figure() method.) + import io + fig.canvas.print_pdf(io.BytesIO()) + renderer = fig._cachedRenderer + return(renderer) + + class BaseTrack(object): ''' @@ -115,7 +135,7 @@ class BaseTrack(object): ''' Ycord = 0.0 - _betw_feat_space = 2 + _betw_feat_space = 2.5 default_cm='Accent'#deafult matplotlib colormap to use @@ -128,6 +148,7 @@ def __init__(self, *args, **kwargs): self.show_name = kwargs.get('show_name', 'top') else: self.show_name = None + self.fig = kwargs.get('fig', None) self.max_score = kwargs.get('max_score', None) self.min_score = kwargs.get('min_score', None) self.draw_axis = kwargs.get('draw_axis', ["bottom"] ) @@ -150,7 +171,7 @@ def __init__(self, *args, **kwargs): self.norm = kwargs.get('norm', None)# normalizing function, if None build one. could be any function taking a value an returning a float between 0 and 1 if not self.norm: - self.norm = colors.normalize(vmin = self.min_score, vmax = self.max_score) + self.norm = colors.Normalize(vmin = self.min_score, vmax = self.max_score) self.cm = cm.get_cmap(kwargs.get('cm', self.default_cm)) @@ -218,38 +239,47 @@ def extend(self, features): def _collapse(self, dpi,): '''collapse features ''' plt.draw() + renderer = find_renderer(plt.gcf()) # this is necessary to estimate the text dimensions and avoid collisions until draw # is not called the text object do not know its renderer and cannot call get_window_extent method. - line_controller=[] - size_memory={} + line_controller = [] + size_memory = {} draw_features = [] + last_feature_xlim = [0,0] while len(draw_features) < len(self.features): for feat_numb, feat2draw in enumerate(self.features): '''estimate feature lenght''' if feat_numb not in size_memory: - xs_patches=[] - for patch in feat2draw.patches: - #for p in patch: - try: - bbox=patch.get_window_extent(None,) - except: - warnings.warn('could not find box coordinated for patch: '+str(patch) ) - continue - xs_patches.append(bbox.xmax) - xs_patches.append(bbox.xmin) + xs_patches = [] + if type(feat2draw) in [TextSequence, PrettyTextSequence, Text]: + xs_patches.append(feat2draw.start) + xs_patches.append(feat2draw.end) + else: + for patch in feat2draw.patches: + # print("patch", patch, type(patch)) + # print(patch.get_figure().number) + bbox = patch.get_window_extent(renderer=renderer) + # print("bbox", bbox, "bbox.xmax", bbox.xmax, "bbox.xmin", bbox.xmin) + xs_patches.append(bbox.xmax) + xs_patches.append(bbox.xmin) for fname in feat2draw.feat_name: # set the correct dpi to correctly estimate text size. # required by Text class in matplotlib - bbox = fname.get_window_extent(dpi = dpi) - xs_patches.append(bbox.xmax) - xs_patches.append(bbox.xmin) - size_memory[feat_numb]={'left_margin' : min(xs_patches), - 'right_margin' : max(xs_patches)} + # This can be a problem with ax.annotate, bounding box is too wide? + # We do not take into consideration text annotations + #bbox = fname.get_window_extent(dpi = dpi) + #bbox = fname.get_window_extent() + #xs_patches.append(bbox.xmax) + #xs_patches.append(bbox.xmin) + pass + size_memory[feat_numb] = {'left_margin':min(xs_patches), + 'right_margin':max(xs_patches)} ''' Check for collisions both on text and patches''' if feat_numb not in draw_features: - draw=True - for prev_start,prev_end in line_controller: + draw = True + for prev_start, prev_end in line_controller: + # print("line_controller",prev_start, prev_end, size_memory[feat_numb]) if (prev_start <= size_memory[feat_numb]['left_margin'] <= prev_end) or \ (prev_start <= size_memory[feat_numb]['right_margin'] <= prev_end) or \ ((size_memory[feat_numb]['left_margin'] < prev_start < size_memory[feat_numb]['right_margin']) and \ @@ -277,18 +307,28 @@ def _collapse(self, dpi,): else: try: current_y = patch.get_y() + patch.set_y(current_y + self.Ycord) except AttributeError: - current_y = patch.get_position()[1] - patch.set_y(current_y + self.Ycord) + if type(patch) is FancyArrowPatch: + arrow_pos = [list(pos) for pos in patch._posA_posB] + arrow_pos[0][1] = arrow_pos[0][1] + self.Ycord + arrow_pos[1][1] = arrow_pos[1][1] + self.Ycord + patch.set_positions(arrow_pos[0], arrow_pos[1]) + else: + current_y = patch.get_position()[1] + patch.set_y(current_y + self.Ycord) for iname, fname in enumerate(feat2draw.feat_name): y=fname.get_position()[1] feat2draw.feat_name[iname].set_y(y + self.Ycord) - current_x, current_y = fname.xytext - feat2draw.feat_name[iname].xytext = (current_x, current_y + self.Ycord) + feat2draw.Y2 = (y + self.Ycord) + #current_x, current_y = fname.xyann + #feat2draw.feat_name[iname].xytext = (current_x, current_y + self.Ycord) + #print("feat_name ",fname,"y",y,"new y",fname.get_position()[1]) draw_features.append(feat_numb) #if len(draw_features) < len(self.features): + self.Ycord-=self._betw_feat_space line_controller=[] self.drawn_lines += 1 @@ -331,7 +371,7 @@ def _order_by_length(self,): return [feat for (i,feat) in feat_list] - def _draw_ordered_features(self, feat_list = None,): + def _draw_ordered_features(self, feat_list=None,): '''draws one feature per line in the track in the order they are passed''' if not feat_list: feat_list = self.features @@ -357,14 +397,15 @@ def _draw_ordered_features(self, feat_list = None,): current_y = patch.get_position()[1] patch.set_y(current_y + self.Ycord) for iname, fname in enumerate(feat2draw.feat_name): - y=fname.get_position()[1] + y = fname.get_position()[1] feat2draw.feat_name[iname].set_y(y + self.Ycord) - current_x, current_y = fname.xytext + #current_x, current_y = fname.xytext + current_x, current_y = fname.xyann feat2draw.feat_name[iname].xytext = (current_x , current_y + self.Ycord) - self.Ycord-=self._betw_feat_space + self.Ycord -= self._betw_feat_space self.drawn_lines += 1 - def _draw_features(self, **kwargs): + def _draw_features(self, fig=None, **kwargs): '''draw features ''' xoffset = kwargs.get('xoffset',0) for feat_numb, feat2draw in enumerate(self.features): @@ -376,18 +417,22 @@ def _draw_features(self, **kwargs): feat2draw.ec = feat2draw.fc else:# color by feature number if not feat2draw.cm_value: - self.norm = colors.normalize(1,len(self.features)+1,) + self.norm = colors.Normalize(1,len(self.features)+1,) feat2draw.cm_value = feat_numb +1 feat2draw.fc = self.cm(self.norm(feat2draw.cm_value)) - feat2draw.draw_feature() - feat2draw.draw_feat_name(xoffset = xoffset) + if False: + # if type(feat2draw) in [PrettyTextSequence, TextSequence]: + feat2draw.draw_feature(fig=fig) + else: + feat2draw.draw_feature() + feat2draw.draw_feat_name(xoffset=xoffset) - def _sort_features(self, dpi = 80, **kwargs): + def _sort_features(self, dpi=80, **kwargs): ''' sort features basing on the chosen mode ''' - self._draw_features(**kwargs) + self._draw_features(fig=plt.gcf(), **kwargs) if self.sort_by =='collapse': - self._collapse(dpi, ) + self._collapse(dpi) elif self.sort_by =='score': feat_list = self._order_by_score() self._draw_ordered_features(feat_list,) @@ -396,6 +441,7 @@ def _sort_features(self, dpi = 80, **kwargs): self._draw_ordered_features(feat_list, ) else: self._draw_ordered_features() + pass @@ -525,4 +571,4 @@ def _draw_features(self, **kwargs): def _sort_features(self, dpi = 80, **kwargs): self._draw_features(**kwargs) - \ No newline at end of file + diff --git a/build/lib/biograpy/__init__.py b/build/lib/biograpy/__init__.py deleted file mode 100644 index a641431..0000000 --- a/build/lib/biograpy/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from drawer import Panel -from seqrecord import SeqRecordDrawer, SliceSeqRec diff --git a/dist/biograpy-1.0bdev-py2.6.egg b/dist/biograpy-1.0bdev-py2.6.egg deleted file mode 100644 index 512db40..0000000 Binary files a/dist/biograpy-1.0bdev-py2.6.egg and /dev/null differ diff --git a/dist/biograpy-1.1.dev0-py2.7.egg b/dist/biograpy-1.1.dev0-py2.7.egg new file mode 100644 index 0000000..e4482ab Binary files /dev/null and b/dist/biograpy-1.1.dev0-py2.7.egg differ diff --git a/src/biograpy/docs/_build/_sources/AUTHORS.txt b/docs/AUTHORS.txt similarity index 90% rename from src/biograpy/docs/_build/_sources/AUTHORS.txt rename to docs/AUTHORS.txt index c181053..0952678 100644 --- a/src/biograpy/docs/_build/_sources/AUTHORS.txt +++ b/docs/AUTHORS.txt @@ -11,3 +11,4 @@ CONTRIBUTORS ============ * Mauro Amico +* Marc Weber \ No newline at end of file diff --git a/src/biograpy/docs/_build/_sources/HISTORY.txt b/docs/HISTORY.txt similarity index 80% rename from src/biograpy/docs/_build/_sources/HISTORY.txt rename to docs/HISTORY.txt index 2913da0..99fd4fa 100644 --- a/src/biograpy/docs/_build/_sources/HISTORY.txt +++ b/docs/HISTORY.txt @@ -3,6 +3,11 @@ Changelog ========= +1.1 alpha +--------------------- +- Added novel feature types: PrettyTextSequence, CoupledmRNAandCDS +- Added option of drawing the panel below an existing matplotlib figure + 1.0 beta 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docs/index.txt diff --git a/src/biograpy/docs/installation.txt b/docs/installation.txt similarity index 100% rename from src/biograpy/docs/installation.txt rename to docs/installation.txt diff --git a/src/biograpy/docs/tutorial.txt b/docs/tutorial.txt similarity index 100% rename from src/biograpy/docs/tutorial.txt rename to docs/tutorial.txt diff --git a/examples/.ipynb_checkpoints/biograpy_example-checkpoint.ipynb b/examples/.ipynb_checkpoints/biograpy_example-checkpoint.ipynb new file mode 100755 index 0000000..6072da6 --- /dev/null +++ b/examples/.ipynb_checkpoints/biograpy_example-checkpoint.ipynb @@ -0,0 +1,295 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib\n", + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.font_manager import FontProperties\n", + "import numpy as np\n", + "from pathlib import Path\n", + "\n", + "import biograpy\n", + "from Bio.SeqFeature import SeqFeature, FeatureLocation\n", + "from Bio.Seq import Seq\n", + "\n", + "savefig = True" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7DG9F31a9zZPBrIo7nEBbkJ7qG4N65+ND+v8/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\na9OuJ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r8/TC7JRW5Wiu6JtlLxz8mbrytBd5d92P+Zoj1pmKI9k6goLdozuihICZR0dhuB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\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D1NB3MFLOsm9Qxn9svMDlnu71Sfjz5s+waEqq5tcwKj9ECFA8Jh5fX5yFxoZKNIYJ+IQ7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Z31y9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\nUcNr7NbMB+2dawBoXjZf380lADpGdXV1/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S69jAbi/QmjVJkvwUFxdXwxED1Y/PAoA8ACTyAKgoB1A+lscFAAAAAABe6ciOI/rx8I8KDQrV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\nNm/erJiYGF29elUpKSk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/bswbp163Tuw8rKCh06dMDg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ZyhaA93zDCM/D4EIN+RA7iCpKQk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\ncoDCIDY2Vv379zdP9hQrVkwPP/ywwsLCVL58ed28eVNHjhxRRESELl++b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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + " fig1, ax = plt.subplots(figsize=(10,3), dpi=300)\n", + "\n", + " ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200))\n", + " ax.set_xlim([0,1200])\n", + " ax.set_ylim([0,2])\n", + "\n", + " # We use the package biograpy to create Panel, tracks, and features\n", + " panel = biograpy.Panel(fig1)\n", + " track = biograpy.tracks.BaseTrack()\n", + "\n", + " # Simple feature drawn as a rectangle\n", + " track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300))\n", + "\n", + " # Gene feature drawn as an arrow\n", + " genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1)\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1'))\n", + "\n", + " # Simple feature with color\n", + " track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r'))\n", + "\n", + " # Gene feature with color\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r'))\n", + "\n", + " # Very short gene feature (to test the arrow head automatic sizing)\n", + " genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1)\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short'))\n", + "\n", + " # mRNA with one CDS drawn as a shaded rectangle with an arrow on top\n", + " CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1)\n", + " mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandm', ec='k')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # mRNA with CDS, custom color\n", + " CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1)\n", + " mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # Very short mRNA with CDS (to test the arrow head automatic sizing)\n", + " CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1)\n", + " mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_very_short')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # Gene feature on minus strand\n", + " geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1)\n", + " genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm')\n", + " track.add_feature(genefeat)\n", + "\n", + " track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80))\n", + "\n", + " panel.add_track(track)\n", + " panel.add_track(track2)\n", + " if savefig:\n", + " panel.save('biograpy_test1.png')\n", + "# panel.close()\n", + " else:\n", + " panel._draw_tracks()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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4nnWMS7x24HicOz+adQyAivZpQVIe\n5LkgqRKcOz8aP/75L+LZ3R/Gps598Y2tu2PVH/55LN+yM1b94Z/HN7bujk2d++LZ3R/Gj3/+C79D\noUS23H9L5i+O8zx5rvf0UDy8vavkk7UPfnwmHt7eFb2nh0p6Hkqru28wHnl+T9y77e14ae+xKa+6\nOTQyFi/tPRb3bns7Hnl+T3T3DZYoKdXu045iWdJRDKC83Idkq662JnZsWBWtzY1lPW9rc2Ps+Naq\nqMvpZGDy4ciJgVws7pQnxnXzy7MMeecdFQCl0tSQz4KKpoZrso4AAFVrw9p8LdxjISGoLt4c5UCa\npvsi4kcFPvoXSZLcPpljJElyR0T8TwU++g9pmv6/U8jyNxHxbwt8dFeSJP90klmujYj/vcBHpyLi\n+clmAWanfT2nc9XGPuLiRJl9PaezjgFQ8RQkVbYjJwbiqdfej689vSu+/f2fxNad3bHz8Mn4qH8o\n+s+NxODw6CUdRbbu7I5vf/8n8bWnd8VTr70fR04MZP2fAFXF5LmJnRoYjvUv7I2e/vIUXvb0D8X6\nF/bGqYHhspyP4hkdG49nd38Y9z3zTtEmT3cd7Y/7nnknnt39YYxm2MGEyrXpzrZYsXRBJufWUQyg\nfNyH5Md18xrixUfXlK3Qs7W5MV58dE1c19RQlvNRuTr39GQd4RI1SbbnN66bf55lyDvvqAAohfaW\n/L0ni4hoz+H7OwCoFhYSAkpJkWd+/JOIGLls2zUR8X990hVzQkmSrIuIP/vk6z9vJCL+x2lk+V5E\nfFBg+79OkuSKx0uS5CsR8f9ExA0FPv7naZr+9TTyALPIoeNns45QUF5zAVQSBUmVSVcRyC+T575o\ndGw8NnbuL1uB56d6+odiY+d+k+kryKmB4Xjoua7YurM7Ror8fRsZG4+tO7vjoee6FP8yZTqKAVQ/\n9yH5s2RhY7yyqaPkz1crli6IVzZ3xJKF5f09T+U5d340Xj9wPOsYl6jNuMrTuG7+eZYh77yjAqAU\nbluSzXu6q1m+ZH7WEQCgqllICCiVih3lTJLkl5MkSa/0JyL+coLdd19t3yRJfrl8/zURaZr+LCL+\nWYGPFkTEriRJXk6S5NeSJPmlJElqkyRpTpLk15Mk+ZOIeDMiCj2VPZmmafc0spyPiH8UXyw6TSLi\n3yZJ8m6SJI8kSbI4SZK6JEm+lCTJmiRJ/k1EHIqIWwsc9k/TNP0/ppoFmH3e6z2TdYSC3u9V5AlQ\nDAqSKoeuIpB/Js990fa3jsbBj7N5pjj48ZnY/tbRTM7N1PSeHoqHt3eV/N/KwY/PxMPbu6L3dHmL\njql8OooBVC/3Ifl13byGeHVzRzx5T3vRJ+fU19bEk/e0x6ubO/y+ZVL29Zye8kJrpXZhLI22L8/N\n5NzGdSuHZxnyzjsqAIrt1sX5LKbMay4AqBYWEgJKJUnTNOsM0/JJEeZERZzF8JU0TT+aRI6PIqL1\nss09aZr+8nROmiTJ9oh4bDr7XmZ7mqabZ3KAJEn+UUT8Ucy8GPgvImJdmqYDMzxO2SVJ0hER735+\n27vvvhsdHR0ZJYLq942tu+OjMnfdmYyvfHlu7P6n38g6BkBVODUwHA9v7yprl7XW5sZ4xUS6STs1\nMBwbO/eXdNLpiqULYseGVXHdPN8TmKne00Ox/oW9Zbmufjp5Lo+dZ7r7BuM3n3k7LoxlN9ZVX1sT\nP/jOHdHeYiA9rzK7D9nU4XceU1a2e7JvrXKfDFAG7kMqR3ffYGx543BRFr3qaGuOLfff4hmBKXl2\n94exdeeU13Iuud/9xt+O//D+CeO6XJVnGfLMOypgtjh3fjT29ZyOQ8fPxnu9Z6K7bzAGh0djZGw8\n6mtroqmhLtpbmuK2JQvi1sXzY3Xrwpg7py7r2BXn3PnR+NrTu3K1SEtjfW38xR+s8/0EgBIbHRuP\nh54r/aKOhaxYuiBe3dyRy8XZqQ5dXV1x++23X7759jRNu7LIM5v4qc6fzRHxb2Z4jH8dEb870yBp\nmv5xRPy3ETGTkc03I+LXKrHAE8jG4PBo1hEKGhy+kHUEgKphNe9801UEKs+ShRcnbpd6FfoVSxfE\nK5s7clngGRGx5Y3DmRZ4RkSMjI3HljcOZ5qBiY2OjcfGzv1lncQXEdHTPxQbO/frYs2U6SgGUD3c\nh1SW9pamePmxtfHDJ74e69fcEI31tVPav7G+NtavuSF+9Ptfj5cfW6vAkyl7r7f8E8Mm4y9/cc64\nLpPiWYY8844KqHZHTgzEU6+9H197eld8+/s/ia07u2Pn4ZPxUf9Q9J8bicHh0eg/NxIf9Q/FzsMn\nY+vO7vj2938SX3t6Vzz12vtx5IRpnlMxd05dPLBycdYxLvHgysUKPAGgDOpqa2LHhlVle778VGtz\nY+z41ioFnlCl/GTnTHrRkxHxzYj4YIq7fxAR96Zp+s/TIrVoTdP0TyJiVUTsmuKuZyPin3ySJ59v\noYBcGsnpZJPzo/nMBVCpFCTl06mB4bJ1A4y4ONl0/Qt749TAcFnOB9Vstk+eO3JioChddoqh62h/\n/KzPJIg82v7W0UxW0Yy4uLjB9reOZnJuKltdbU08fveN8YPv3BEdbc1FOWZHW3P84Dt3xON33+jl\nH0CZuA+pTMuunxdPP7g8/uIP1sUf/c6vxpP3tMev39ISX/ny3Pjyl+qjqaEuvvyl+vjKl+fGr9/S\nEk/e0x5/9Du/Gn/xB+vi6QeXx1db5mX9n0CF6u4bzDpCQd0nB43rMmmeZcgz1zKgGnX3DcYjz++J\ne7e9HS/tPTblzpJDI2Px0t5jce+2t+OR5/fk9p40jzasbc06wiU2dOQrDwBUMwsJAcWWFKkWsOyS\nJJkTEStLeIoDaZqeL+HxrypJktqIuD8ifjsi7o6Iawt82S8iYndE/J8R8UaaplN7Op9anl+NiH8c\nEb8WEW0RkVz2JecioisiXouIzjRNK/5JP0mSjoh49/Pb3n333ejo6MgoEVS/VX/459F/biTrGF/w\n5S/Vx75/+Q+yjgFQdUbHxmP7W0dj264PilroX19bE0+suyk23dlmssckjY6Nx0PPlb6DZyErli6I\nVzd3+F5BkXT3DcaWNw4Xpeixo605ttx/S+47zzz12vvx0t5jWcf4zPo1N8TTDy7POgaf0903GL/5\nzNuZdnutr62JH3znjtz/PJFvR04MxB/v6YnXDhyf0kStxvraeHDl4tjQ0argBKDM3IcAU1UJ78qM\n6zJVnmXII9cyoBq4luXDI8/vycVipB1tzfHyY2uzjgEAs86pgeHY2Lm/pPPuVixdEDu+tUqBJ2XR\n1dUVt99+++Wbb0/TtCuLPLNJxRZ5zkZJknw5IhZFRGNEDEXEyTRN/yqjLF+KiCUR8aWIuBAR/zki\neovVQTQvFHlC+X1j6+74qEzdw6biK1+eG7v/6TeyjgFQtWZjQVLePLv7w9i6szuz8z95T3s8fveN\nmZ0fqtFsmTx37vxofO3pXVNelbqUGutr4y/+YF3MnVOXdRQ+YYIF1ebc+dHY13M6Dh0/G+/3no3u\nk4MxOHwhzo+Ox5y6mmhquCbaFzXF8iXz49bF82N160LXJICMuA8Bpmr5lp0xODyadYwvaGqoi/e3\n3HPJNuO6TJVnGfLItQyoVGUrJtiwKq6bp5jgSrr7BuO+Z94paqHtVNXX1sSf/d4dcfMiv4MA8ILh\nwwAAIABJREFUIAsW36CaKPLMjpHQCvJJQWcmRZ2XS9P0ryPiZ1nnAKpPe0tTLos82w2AAZRUe0tT\nvPzY2llTkJQ33X2D8b1dP880w7ZdH8S6ZYtMfIAiWnb9vHj6weXx1DeXVfXkuX09p3NV4BkRMTQy\nFvt6TsddN1+bdRTiYsFzHgorIiK6jvbHz/oG3K8wY3Pn1MVdN1/rOgOQc+5DgOmoz+lkrTl1X8xl\nXJep8ixDHrmWAZWo9/RQrH9hb/SUeI7VwY/PxMPbu+LFR9fEkoWNJT1XJWtvaYon1t2U6aLKT6y7\nSYEnAGSorrYmHr/7xli3bJGFhIBpq5wZe0AmPr+S5nu9Z6K7bzAGh0djZGw86mtroqmhLtpbmuK2\nJQsqcjIw+XPbkgWx8/DJrGN8wfIl87OOUJFcQ4Cpmi0FSXmz5Y3DcWEszTTDyNh4bHnjsK4iUALV\nPnnu0PGzWUco6NDxs1X7d15pOvf0ZB3hEp1dPfH0g8uzjgEAlIH7EGA6mhrqov/cSNYxvqCp4ZoJ\nPzOuC1QD1zKgUpwaGC5LgeenevovFpS+sqlDR88r2HRnW7z505Ml7aw6kRVLF8SmO9vKfl4A4Iss\nJATMhBEmoKAjJwaic09PvH6VG4v+cyPxUf/QZ0V5jfW18cDKxbFhbWssu96NBVN36+J8FlPmNVde\nuYYAM1XtBUl5oqsIUOne6y3/y/LJeL83n8Wns82586Px+oHjWce4xGsHjsdT31xm8h8AVDn3IcB0\ntbc0xUdlmrA/Fe2T6ApkXBeoBq5lQJ6Njo3Hxs79ZSvw/FRP/1Bs7Nwfr27uiLqcdp7PWl1tTezY\nsCoe3t5V1u9Pa3Nj7PjWKt8XAMgZCwkB0+GnH7hEd9/gjFqED42MxUt7j8VLe49pEc60rG5dGI31\ntVNataTUGutrY3XrwqxjVATXEIDKo6sIUOm6+wazjlBQ98l85ppt9vWcztXzZcTF5559PadNFASA\nKuc+BJiu25Ys+GxxzDxZvsSCqAAAWdv+1tFMOkVGRBz8+Exsf+toPH73jZmcvxJcN68hXnx0Tdk6\nrbY2N8aLj66J65p0WAWAvLKQEDAVijyBiLi4ytf2t47Gtl0fxMjYeFGO2XW0P+575p14Yt1NsenO\nNqtFMSlz59TFAysXx0t7j2Ud5TMPrlxsVZSrcA0BKL1z50c/W9Xrvd4z0d03GIPDozEyNh71tTXR\n1FAX7S1NcduSBZNe1UtXEaAaDA6PZh2hoMHhC1lHICIOHc9nR9VDx896iQMAVc59CDBdty7OZzFl\nXnMBAMwW3X2D8b1dP880w7ZdH8S6ZYss2H4FSxY2xiubOmJj5/6SFuSuWLogdnxrlQJPAACoImbN\nAnFqYLhkgwojY+OxdWd3vPnTk7Fjw6q4bp5BBa5uw9rWXBV5buhozTpCrrmGAJTWkRMD0bmnJ14/\ncPyKHUD6z43ER/1Dn63y31hfGw+sXBwb1rbGsuvnFdxHVxGgGhRrkZFiOz+az1yzzXu92axofjXv\n9+az6AMAKB73IcB0rW5dGI31tbkat2usr43VrQuzjgEAMKtteeNwXBhLM80wMjYeW944HC8/tjbT\nHHl33byGeHVzR9EXzI+IqK+tsWA+AABUKXf4MMv1nh6Kh7d3lXTVqIiIgx+fiYe3d0Xv6aGSnofq\nsOz6edHR1px1jIiI6Ghrjq+2FC6MwTUEoJS6+wbjkef3xL3b3o6X9h6b8qSuoZGxeGnvsbh329vx\nyPN7ortv8Atfk+euIgCTVZ/TF9hz6vKZa7Yp9PsvD7pP5jMXAFA87kOA6Zo7py4eWLk46xiXeHDl\n4pg7xxriAABZOXJiILqO9mcdIyIiuo72x8/6BrKOkXt1tTXx+N03xg++c0fR5sF1tDXHD75zRzx+\n940KPAEAoAq5y4dZ7NTAcKx/YW/09JenaKqnfyjWv7A3Tg0Ml+V8VLYt99+S+WTt+tqa+O5v3ZJp\nhjxzDQEojdGx8Xh294dx3zPvFO1FXdfR/rjvmXfi2d0fxujnVgnVVQSoBk0N+Zxk2tRwTdYRiIjB\n4dGsIxQ0OHwh6wgAQIm5DwFmYsPa1qwjXGJDR77yAADMNp17erKOcInOrnzlybP2lqZ4+bG18cMn\nvh7r19wQjfW1U9q/sb421q+5IX70+1+Plx9bG+0tTSVKCgAAZC2fs+CAkhsdG4+NnfvLVpz1qZ7+\nodjYuT9e3dxhNSmuqL2lKZ5Yd1Ns3dmdWYYn1t0UNy8yMFaIawhAaZwaGI6NnftL0iF5ZGw8tu7s\njjd/ejJ2bFgV181r0FUEqArtLU3xUZnvSyej3bNELox8bnGDPDk/ms9cAEDxuA8BZmLZ9fOio605\nF92aOtqa46st87KOAQAwa507PxqvHziedYxLvHbgeDz1zWW6vU/BsuvnxdMPLo+nvrks9vWcjkPH\nz8b7vWej++RgDA5fiPOj4zGnriaaGq6J9kVNsXzJ/Lh18fxY3brQ3zMAAMwS7vxhltr+1tGSFA9M\nxsGPz8T2t47G43ffmMn5qRyb7myLN396MpN/qyuWLohNd7aV/byVwjUEoPh6Tw+VpUPywY/PxMPb\nu+LFR9foKgJUhduWLIidh09mHeMLli+Zn3UEIqI+p4vDzKnLZy4AoHjchwAzteX+W+K+Z97JtGi8\nvrYmvvtbt2R2fgAAIvb1nI6hkbGsY1xiaGQs9vWcjrtuvjbrKBVn7py6uOvma/3dAQAAX+AtHsxC\n3X2D8b1dP880w7ZdH+S2cxT5UVdbEzs2rIrW5saynre1uTF2fGuVTpETcA0BKL5TA8NlKfD8VE//\nxYLSvHbvyGsuIJ9uXZzPYsq85pptmhryucZdU8M1WUcAAErMfQgwU+0tTfHEupsyzfDEupvi5kVN\nmWYAAJjtDh0/m3WEgvKaCwAAoFKpXoFZaMsbh+PCWJpphpGx8djyxuFMM1AZrpvXEC8+uqZshZ6t\nzY3x4qNr4rqmhrKcrxK5hgAU1+jYeGzs3F+2As9P9fQPxfCFfK34+ildRYCpWN26MBrra7OOcYnG\n+tpY3bow6xjExUnRedRukjQAVD33IUAxbLqzLVYsXZDJuVcsXRCb7mzL5NwAAPwX7/WeyTpCQe/3\nKvIEAAAoJjNnYZY5cmIguo72Zx0jIiK6jvbHz/oGso5BBViysDFe2dRR8pfYK5YuiFc2d8SSheXt\nHFpJXEMAim/7W0fj4MfZvJgbHc+2aH8iuooAUzF3Tl08sHJx1jEu8eDKxTF3Tj47N802ty3JZjL0\n1SxfotMrAFQ79yFAMdTV1sSODavKthjqp1qbG2PHt1ZFXa0pJQAAWevuG8w6QkHdJ/OZCwAAoFIZ\nkYdZpnNPT9YRLtHZla885Nd18xri1c0d8eQ97VFf5BfK9bU18eQ97fHq5g4dPK/CNQSguLr7BuN7\nu36edYzc0VUEmKoNa1uzjnCJDR35yjOb3bo4n0UMec0FABRPXn/f5zUXMLHr5jXEi4+uKVuhZ2tz\nY7z46BrvzAAAcmJweDTrCAUNDl/IOgIAAEBVUeQJs8i586Px+oHjWce4xGsHjse58/kciCJ/6mpr\n4vG7b4wffOeO6GhrLsoxO9qa4wffuSMev/tGqxFfhWsIQPFteeNwXBjLZzfNLOkqAkzVsuvnFe0Z\nYaY62prjqy3zso7BJ1a3LozG+tqsY1yisb42VrcuzDoGAFBi7kOAYlqysDFe2dQRK5aWtkvwiqUL\n4pXNHbFkYXk7hwIAMLGRsfGsIxR0fjSfuQAAACqVahaYRfb1nI6hkbGsY1xiaGQs9vWczjoGFaa9\npSlefmxt/PCJr8f6NTdMeaJMY31trF9zQ/zo978eLz+2NtpbdAubDNcQgOI6cmIguo72Zx0jl3QV\nAaZjy/23RH3GC7fU19bEd3/rlkwzcKm5c+rigZWLs45xiQdXLo65c+qyjgEAlJj7EKDYrpvXEK9u\n7ogn72kv+vNvfW1NPHlPe7y6uUMHTwCAnMn63cdE5tTlMxcAAECl8hYPZpFDx89mHaGgQ8fPxl03\nX5t1DCrQsuvnxdMPLo+nvrks9vWcjkPHz8b7vWej++RgDA5fiPOj4zGnriaaGq6J9kVNsXzJ/Lh1\n8fxY3brQRJZpcA0BKK7OPT1ZR8glXUWA6WpvaYon1t0UW3d2Z5bhiXU3xc2LLCKTNxvWtsZLe49l\nHeMzGzpas44AAJSJ+xCg2Opqa+Lxu2+MdcsWxZY3DhdlEbmOtubYcv8tFkUFAMippoa66D83knWM\nL2hquCbrCAAAAFVFhQvMIu/1nsk6QkHv9+azcIzKMXdOXdx187UK/UrMNQSgeM6dH43XDxzPOkYu\n6SoCzMSmO9vizZ+ejIMfl//edcXSBbHpzrayn5erW3b9vOhoa85FB+2Otub4asu8rGMAAGXiPgQo\nlfaWpnj5sbVx5MRA/PGennjtwPEYGhmb9P6N9bXx4MrFsaGj1bUBACDn2lua4qP+oaxjfEG7RS8B\nAACKysxZmEW6+wazjlBQ98l85gIu5RoCUDz7ek5PadLVbKKrCDATdbU1sWPDqnh4e1f0lHHCQ2tz\nY+z41qqoq60p2zmZmi333xL3PfNOjIyNZ5ahvrYmvvtbt2R2fgAgG+5DgFJadv28ePrB5fHUN5fF\nvp7Tcej42Xi/92x0nxyMweELcX50PObU1URTwzXRvqgpli+ZH7cunh+rWxdaaA0AoELctmRB7Dx8\nMusYX7B8yfysIwAAAFQVo/YwiwwOj2YdoaDB4QtZRwAmwTUEoHgOHdeFuBBdRYBiuG5eQ7z46JpY\n/8LeshR6tjY3xouPronrmhpKfi6mr72lKZ5Yd1Ns3dmdWYYn1t0UN1vZHABmHfchQDnMnVMXd918\nbdx187VZRwEAoMhuXZzPYsq85gIAAKhU2gvALJLlKtFXcn40n7mAS7mGABTPe71nso6QO7qKAMW0\nZGFjvLKpI1YsXVDS86xYuiBe2dwRSxY2lvQ8FMemO9tK/m9iIiuWLohNd7Zlcm4AIHvuQwAAAJiu\n1a0Lo7G+NusYl2isr43VrQuzjgEAAFBVFHnCLFJfm88f+Tl1+cwFXMo1BKB4uvsGs46QO7qKAMV2\n3byGeHVzRzx5T3vR72Xra2viyXva49XNHTp4VpC62prYsWFVtDaXtyi3tbkxdnxrVdTl9JkKACg9\n9yEAAABM19w5dfHAysVZx7jEgysXx9w5dVnHAAAAqCre6MEs0tSQz4GVpoZrso4ATIJrCEDxDA6P\nZh2hoLqaJJPz6ioClEpdbU08fveN8YPv3BEdbc1FOWZHW3P84Dt3xON332iyfAW6bl5DvPjomrIV\nWLQ2N8aLj65RDAwAuA8BAABg2jasbc06wiU2dOQrDwAAQDUwEw1mkfaWfHZGatexCSqCawhA8YyM\njWcdoaA519ToKgJUpfaWpnj5sbXxwye+HuvX3BCN9bVT2r+xvjbWr7khfvT7X4+XH1ub23tjJmfJ\nwsZ4ZVNHrFi6oKTnWbF0QbyyuSOWLCzv71YAIL/chwAAADAdy66fV7TFLGeqo605vtoyL+sYAAAA\nVSefLbmAkrhtyYLYefhk1jG+YPmS+VlHACbBNQSgeOpzWtD4X11TGy8+uibWv7A3evqHSn4+XUWA\nclt2/bx4+sHl8dQ3l8W+ntNx6PjZeL/3bHSfHIzB4QtxfnQ85tTVRFPDNdG+qCmWL5kfty6eH6tb\nF8bcOYbRqsl18xri1c0dsf2to7Ft1wdFXYChvrYmnlh3U2y6s80iBgDAF7gPAQAAYDq23H9L3PfM\nO5kuKFxfWxPf/a1bMjs/QBbOnR/97N3ye71nortvMAaHR2NkbDzqa2uiqaEu2lua4rYlC7xbBgBm\nxB0EzCK3Ls5nIVRecwGXyuvPal5zAVxJU0Nd9J8byTrGFzQ1XPNZV5GNnfvj4MdnSnauFUsXxI5v\nrVLgCWRi7py6uOvma+Oum6/NOgoZqquticfvvjHWLVsUW944HF1H+2d8zI625thy/y26vQIAV+Q+\nBAAAgKlqb2mKJ9bdFFt3dmeW4Yl1N8XNizx3ArPDkRMD0bmnJ14/cDyGRsYm/Lr+cyPxUf/QZw00\nGutr44GVi2PD2tZYdr3OxwDA5CnyhFlkdevCaKyvveLDRrk11tfG6taFWccAJsE1BKB42lua4qMy\ndMqcqvZPXsjpKgLAbNLe0hQvP7Y2jpwYiD/e0xOvXeVF7eUa62vjwZWLY0NHa3y1xYtaAGDy3Icw\nFbpGAAAAm+5sizd/erKki/VOZMXSBbHpzraynxeg3Lr7Bme0MNvQyFi8tPdYvLT3mIXZAIApSdI0\nzToD5FaSJB0R8e7nt7377rvR0dGRUaKZe+q19+OlvceyjvGZ9WtuiKcfXJ51DGCSXEMAiuPZ3R9m\nusLqRJ68pz0ev/vGS7bNdPD68wxeA1AJPj95/v3es9F9cjAGhy/E+dHxmFNXE00N10T7oqZYvmS+\nyfMAQFG5D6GQyXaNuJyuEQAAUJ1ODQzHw9u7oqeMiwq3NjfGK5s74rqmhrKdE6DcRsfGLYYOABHR\n1dUVt99+++Wbb0/TtCuLPLOJIk+4gmos8jxyYiDu3fZ21jE+86Pf/7rVpaGCuIYAFMePf/6L+Pb3\nf5J1jC/4o9/51bjr5msLfqarCAAAAED5WHgLAACYSO/poVj/wt6yFHq2NjfGi4+uiSULG0t+LoCs\nnBoYjo2d+0vaKXnF0gWxY8OquG6egnkA8k2RZ3Ys7QqzzLLr50VHW3NRXgjPVEdbs4n+UGFcQwCK\nY3Xrwmisr51SsWSpNdbXxurWhRN+vuz6efH0g8vjqW8u01UEAAAAoERK0TWi62h/3PfMO7pGAHzi\n892z3+s9E919gzE4PBojY+NRX1sTTQ110d7SFLctWWCcG4BcWrKwMV7Z1FGegqRvrdLBE6hq5Sqc\nP/jxmXh4e5fCeQBgQjp5whVUYyfPiIsr/973zDtFezE8HfW1NfFnv3dH3LzIisFQaVxDAIrjqdfe\nj5f2Hss6xmfWr7khnn5wedYxAJjFTLAEAGC20zVi8jw/ANNx5MRAdO7pidcPHJ/SIoyN9bXxwMrF\nsWFtayy73iK0AORHKRaJibg4L8ciMcBscGpgOB7e3lWWzsifam2+WKhf6WMzAFQvnTyzo8gTrqBa\nizwjIp7d/WFs3dmd2fmfvKc9Hr/7xszOD8yMawjAzB05MRD3bns76xif+dHvf12HZAAyYYIlAEC+\nKJ7LRrm6RkRcnExYqV0jPD8A09HdNxhb3jgcXUf7Z3ysjrbm2HL/LdHeYjFaAPLD7zqAqRsdG4+H\nnusq6WJbE1mxdEG8urlDIT0AuaTIMzuKPOEKqrnI08MJMBOuIQDF8cjze4ryom2mOtqa4+XH1mYd\nA4BZxqQTAIB8UTyXHV0jrs7zAzAdupsBMNscOTEQf7ynJ16bxnPdgysXx4aOVgsDA7OGRhcAUJgi\nz+wo8oQrqOYiz4gMXxhv7ojrmirjhTEwMdcQgJnr7huM+555p6iTS6aqvrYm/uz37oibF5nUBkB5\nmGAJAJAviueyZVHFK/P8AEzXqYHh2Ni5v6TX1xVLF8SODasqpmAegNnj3PnR2NdzOg79/+zdf3DT\neX7n+dfXErIjRsYeD2DOZrTxAmoHDOeFCdZsN4SNa3vpDQxkjux1se5J5gBTxXaYqtu5uyK7tZ7s\ncf+wlzTFdtUYevoy6wEq10tB0dnLuIs7doEd2xM4jh9uWk3HQWAvNonOthTrZCFZ94fHTBtksK0f\nn6/k56Oqq2a+wt/Pq6GR9Pl8P+/Pe2BUd/pHFRiKKBJ7qvHEhEqdJfKULZJvuUcNtUu0rmaJNnkr\ntbjUaTo2AORNYDCi3zpxVU+T5uooXI4Sffzu66yjAQBshyJPcyjyBF6i2Is8Jal/OKq9H/TkpUjL\nW+XW6X2bVVvpzvlYAPKD9xAAyBwnAwIAFhI2WAIAANgHxXP2wNrQzJg/AJgvnmECAAAAeJm3T3Zn\n5cCzTPnrqnT2QJPpGAXry4ca3O4fUWAwokgsoXhyQi5HiTxlTvmqPVpfW8GhBgAwBxR5mkORJ/AS\nC6HIU8rjA9J3NtJ9DyhCvIfMHosKANKhWwMAYKFggyUAAIB9UDxnD3SNmBnzBwDz9SQc0572rry8\nf0zxVrn1UaufzzwAAACgANx7HNb241dNx3jmp997Q69Vl5uOUVDuPQ6rozuoCzcHFI0nZ/1zbpdD\nuxpr1NLkVf0Kfs8BYCYUeZpDkSfwEgulyFPitGYAmeE95OVYVADwKsY2nRz0F3wBPQCgMLDBEgAA\nwD4onrMPukakx/wBwHxxqCIAAACAVzly/o7O9Dw0HeOZvZu/rqO7G0zHKAiBwYjaLvZmZT3NX1el\ntp1rbXfwGQDYAUWe5rCyCECS5HSU6NC2Vfr43dflr6vKyj39dVX6+N3XdWjbKh5kAEWO95D0AoMR\nvX2yW9uPX9WZnodzKvCUpGg8qTM9D7X9+FW9fbJbgcFIjpICMG1ZeZlO79ssb1V+NjxObbCkwBMA\nkA+J5IT2d9zI6wZtSQqGotrfcUOJLB5EAwAAUOiehGN5K/CUJr+T7f2gR0/CsbyMV0juPQ7bosBT\nkrr6QvpsMGw6hiTmDwAy036lz0iBpyTdejSi9it9RsYGAAAAMDtj4wlduDlgOsY0528OaGw8YTqG\nrSWSE3r/8hfaceJa1tbTuvpC2nHimt6//AXrQQAA26CTJ/ASC6mT5/PuPQ7rJ91BnZ9H17ndjTVq\n8Xv1WjVd54CFaqG/h9DZFMB8PQnHtL/jRk43oWxYWaFT72ykwBMAkDfvX/5CxzoDxsb//ps+Hdq2\nytj4yI6x8YSuB4d1d2BUt/tHFBiMKBJLKJ6ckMtRIk+ZU75qj9bXVmhdzRJt8lZqcanTdGwAAGyF\n7mb2QteI9Jg/AJivwGBEv3Xiqp4mze2DcjlK9PG7r9MJBgAAALCp//T5X+s7H/7cdIwX/Pi7v66t\na5aajmFLedtL1bJRy8rZSwUAEp08TaLIE3iJhVzkOeXLG+ju9I8qMBRRJPZU44kJlTpL5ClbJN9y\njxpql7CBDsALFuJ7CIsKADJFoTgAoJiwwRKZuvc4rI7uoC7M4xChXY01amnyqn5F4R4iBABANlE8\nZx9j4wl94+ilOX2/yTW3y6G/+INmo2v0zB8AZOLtk9226JDsr6vS2QNNpmMAAAAASMP0+thMWDdL\nr384qr0f9CgYiuZ8LG+VW6f3bVZtpTvnYwGA3VHkaU5hV1EAyLnFpU5tXbOUE2IAzMtCew/J16LC\nrUcj2tPexaICUKScjhId2rZKzfXL1XaxNyubUvx1VWrbuZbNaQCAvGu72Gt0g7YkxZMTarvYywbL\nAhMYjGT0XSgaT+pMz0Od6XnIdyEAADT52frepc+NZjh+6b6a65fzmSzpenDYVgWe0uT3p+vBYaPr\n+cwfAMzXvcdhWxR4SlJXX0ifDYb1WjUHDgEAAAB2c7s/d40bMnGnf/SVv+bLDTdu948oMBhRJJZQ\nPDkhl6NEnjKnfNUera+tKIqGG0/CsbwVeEpSMDS59/OjVj/NNwAAxhTuJzcAAICNsKgAINt81R6d\nPdCke4/D+kl3UOfn0b1qd2ONWvxeNpMAAIxggyXmIxddzbv6Qtpx4hpdzQEACxrFc/Zyd+DVG/dM\nuDswaqzIk/kDgEx0dAdNR5imoyuoo7sbTMcAAAAA8JzAYMR0hLQCQzPnuvc4rI7uoC68Yt9QaCyu\nB6GoOnuHJE3uG9rVWKOWJq/qVxTWGkciOaH9HTfythdzSjAU1f6OGzp30M/zRACAERR5AgAAZIhF\nBQC5VL+iXEd3N+jIW/XPTuS70z+qwFBEkdhTjScmVOoskadskXzLPWqoXVIUJ/IBAAofGywxV0/C\nMe3vuKFbj7J/inI8OaFjnQF98umQTrVs5LAcAMCCQvGc/RRy14hcYf4AYL7GxhO6cHPAdIxpzt8c\n0JG36lmjBwAAAGwmEkuYjpBWJPb0hWuBwYjaLvbOe10vGk/qTM9Dnel5KH9dldp2rpWv2pNp1Lxo\nv9KXk+eFs3Hr0Yjar/Tp0LZVRsYHACxsrCYCAABkiEUFAPmwuNSprWuWGuumAADAXLDBEnPVPxzV\n3g96cn54zq1HI9rT3qXT+zarttKd07EAALALiufspxC7RuQS8wcAmbgeHH5pNxsTovGkrgeHWc8H\nAAAAbCaenDAdIa3xxC9zJZITar/Sp+OX7mctb1dfSDtOXNPh5tVq3VJn64YSgcGI3rv0udEMxy/d\nV3P98oIpigUAFA+eSAAAAGSARQVky9h44lmXxtv9IwoMRhSJJRRPTsjlKJGnzClftUfrayvo0ggA\nAGyPDZaYiyfhWF4KPKcEQ5MFpR+1+unoCQAoehTP2VMhdY3IB+YPADJxd8BcF+KXuTswynsIAAAA\nYDMumxY3ljoncz0Jx7S/40ZOGk7EkxM61hnQJ58O6VTLRts+I2u72KunyZTRDPHkhNou9ursgSaj\nOQAAC8/CfXIGAACQBSwqIFP3HofV0R3UhZsDL93IFBqL60Eoqs7eIUmS2+XQrsYatTR5Vb+iPF9x\nAQAAZoUNlpitRHJC+ztu5K3Ac0owFNX+jhs6d9Bv69OKAQDIFMVz9lQIXSPyifkDgEzc7s/+5uds\nuNNvz/c2AAAAYCHzlDkVGoubjvECT9ki9Q9H83Io6q1HI9rT3qXT+zarttKd07Hm6t7jsLr6QqZj\nSJrsfvrZYFivVbMvDwCQP+xeAQAAmCc7LiqgcAQGI3r7ZLe2H7+qMz0P57zZLhpP6kzPQ20/flVv\nn+xWYDCSo6QAAABzxwZLzFb7lb6cnEY8G7cejaj9Sp+RsQEAyBc7F88tZHbvGpFvzB8AZMKuz0cC\nQ/bMBQAAACxkvmqP6Qhpeb/qzkuB55RgaLKg9Ek4lpfxZqujO2g6wjQdXfbKAwAofvYeLNs+AAAg\nAElEQVR8egQAAFAAWFTAfCSSE3r/8hfaceJa1oqEu/pC2nHimt6//IUSNu0CAAAAFhY2WGI2AoMR\nvXfpc6MZjl+6b9v/XgEAyAaK5+zJU+Y0HSEtT9kiI+Pa9fsY8wegMERiCdMR0orEnpqOAAAAAOA5\n62srTEdIKzAUyVuB55RgKKr9HTdss9dsbDyhCzcHTMeY5vzNAY2N23POCQAoThR5AgAAzAOLCpiP\nJ+GYvv3DLh3rDCie5QWyeHJCxzoD+vYPu2x3yhoAAFh42GCJ2Wi72KunyZTRDPHkhNou9hrNAABA\nLlE8Z0927RrhW24mF/MHAJnI9vOWbBlP2DMXAAAAsJCtq1liOkJaj0fN7PW69WhE7Vf6jIz9vOvB\nYUXjSdMxponGk7oeHDYdAwCwgFDkCQAAMA8sKmCu+oej2tPepVuPcts94dajEe1p71L/cH5PdwMA\nAPgyNljiVe49Dmets32muvpC+mwwbDoGAAA5QfGcPdm1a0RDrZmNjswfAGTC5bDn1qdSpz1zAQAA\nAAvZJm+l3C6H6Ri2cvzSfVscFHd3YNR0hLTsmgsAUJycpgMAAAAUIrtO3u8OjGrrmqWmY+A5T8Ix\n7f2gR8FQfgovg6Go9n7Qo49a/VpWXpaXMQEAAL6MDZZ4lY7uoOkI03R0BXV0d4PpGAAAZB3Fc/Zk\n164RpnIxfwCQCU+ZU6GxuOkYL/CULTIdAQBgwNh4QteDw7o7MKrb/SMKDEYUiSUUT07I5SiRp8wp\nX7VH62srtK5miTZ5K7W4lG28AJAvi0ud2tVYozM9D01HsY14ckJtF3t19kCT0Ry3+3PbOGG+7vTb\nc58oAKA4MTsEAACYBxYVMFuJ5IT2d9zIW4HnlGAoqv0dN3TuoF9Om26SAgAAxYsNlniZsfGELtwc\nMB1jmvM3B3TkrXo2VAEAig7Fc/Y01TUiGk+ajvKM2+XQJm+lkbGZPwDIhK/aowd5fgYzG77lHtMR\nAAB5dO9xWB3dQV24OfDS7/mhsbgehKLq7B2SNPk9fFdjjVqavKpfUZ6vuACwoLU0eSnyfE5XX0if\nDYb1WrW5zyI7dBNNJzBkz1wAgOK0sJ+eAQAAzBOLCpit9it9uvXITFHwrUcjar/SZ2RsAACwsPmq\n7bmRkQ2W9nA9OGyrggZJisaTuh4cNh0DAICs85TZ8wCDhV48N9U1wk52N9YYO/CC+QOATKyvrTAd\nIa2GWnt2bQYAZFdgMKK3T3Zr+/GrOtPzcM7rntF4Umd6Hmr78at6+2S3bfeiAEAxqV9RLn9dlekY\nttPRFTQ6fiSWMDr+TCKxp6YjAAAWEIo8AQAA5oFFBcxGYDCi9y59bjTD8Uv3eRAEAADyjg2WeJm7\nA6OmI6Rl11wAAGSC4jn7amnymo4wTYvfXB7mDwAysa7Gnn9X7ZoLAJAdieSE3r/8hXacuKauvlBW\n7tnVF9KOE9f0/uUvlEhOZOWeAID02naulctBGcWXnb85oLFxc3si4zb97BtP2DMXAKA42fPoVgAA\nAJtjUQGz0XaxV0+TKaMZ4skJtV3s1dkDTUZzFKqx8YSuB4d1d2BUt/tHFBiMKBJLKJ6ckMtRIk+Z\nU75qj9bXVmhdzRJt8lYa63gAAICd2HUjo11zLTS3+810un+VO/0UeQIAis/62gp19g6ZjvECiud+\n2TUiWxvCM+Gvq9Jr1eXGxrfr93S75gIw3SZvpdwux5w7p+WS2+XQJm+l6RgAgBx5Eo5pf8cN3XqU\n/XXOeHJCxzoD+uTTIZ1q2ahl5WVZHwMAMHkw2uHm1TrWGTAdxTai8aSuB4e1dc1SI+Pbtei21GnP\nXACA4sTuYwAAgHlgUQGvcu9x2BYbtKTJEz8/Gwwb3ahVaO49DqujO6gLNwdeujEkNBbXg1D02WZJ\nt8uhXY01amnyqn4Fv98AgIWLDZZ4Gbt2mg8M2TMXAACZsGuRml1z5VvbzrXaceKa0UMFXY4S/eBb\na42NLzF/AJCZxaVO7Wqs0Zmeh6ajPLO7sYYDIQGgSPUPR7X3gx4FQ9GcjnPr0Yj2tHfp9L7Nqq10\n53QsAFioWrfU6ZNPh3JStP8q1UvKNDgay/u4r3J3YNRYkaenzKnQWNzI2C/jKVtkOgIAYAGhCgAA\nAGAePGX2fDDLooJ9dHQHTUeYpqPLXnnsKjAY0dsnu7X9+FWd6Xk4541l0XhSZ3oeavvxq3r7ZLdt\nCxgAAMi1qQ2WdsIGS/uIxBKmI6QViT01HQEAgKybKp6zE4rnfmmqa4RJh5tXa81yj9EMzB8AZKql\nyWs6wjQtfnvlAQBkx5NwLC8FnlOCocmC0idh+xUBAUAxcDpKdKplo7xV+S2m91a59Vq12bWYmdzp\nHzU2ts+mvyc+w+tmAICFhSJPAACAeWBRAS8zNp7QhZsDpmNMc/7mgMbG7bmZ3g4SyQm9f/kL7Thx\nLWsdWLv6Qtpx4prev/yFEga7MQAAYAobLDETk52qXmY8Yc9cAABkguI5+2vdUqcNKyuMjL1hZYVa\nt9QZGft5zB8AZKJ+Rbn8dVWmY0iS/HVVeq263HQMAECWJZIT2t9xI28FnlOCoaj2d9zgeTMA5Miy\n8jKd3rc5b4We3iq3Tu/brAd/M5aX8eYqMGTuMPv1tWbWx16loXaJ6QgAgAWEp2cAAADzsL62Qp29\nQ6ZjvIBFBXu4HhyecwfIXIvGk7oeHNbWNUtNR7GdJ+GY9nfc0K1HI1m/dzw5oWOdAX3y6ZBOtWzU\nsvKyrI8BAIBdTW2wzNYBCplgg6W9uBz2PHuw1GnPXAAAZKqlyaszPQ9Nx3iG4rnpprpG7GnvyuuG\ncW+VW6fe2SinTb6bMX8AkKm2nWu148Q1owcLuRwl+sG31hobf77GxhO6HhzW3YFR3e4fUWAwokgs\noXhyQi5HiTxlTvmqPVpfW6F1NUu0yVvJgQ0AFpz2K305eZ48G7cejaj9Sp8ObVtlZHwAKHa1lW59\n1OrP2d6hKRtWVujUOxu1zFOmSMyeB/VHYk+Njb2uxp77Hu2aCwBQnOzxxAYAAKDA2HXybtdcC83d\ngVHTEdKyay6T+oej2tPelfMHcrcejWhPe5f6h/N7sisAAKa17VxrvKCvUDdYFjNPmT03gnrKFpmO\nAABATtDdzP5MdY1Y5rHXgWTMHwBkwlft0eHm1UYzHG5erTXLPUYzzMW9x2EdOX9H3zh6Sd/58Oc6\n1hlQZ++QHoSiCo3FFYklFBqL60Eoqs7eIR3rDOg7H/5c3zh6SUfO39G9x2HT/woAkBeBwYjeu/S5\n0QzHL91XYNBcdzUAKHbLyst07qBf33/Tl/W1CZejRN9/06dzB/3P1mJMHk7zMuMJc7k2eSvldjmM\njZ+O2+XQJm+l6RgAgAWEIk8AAIB5YFEBL3O738wJnq9yp58izy97Eo5p7wc9eeuQEAxFtfeDHj0J\nx/IyHgAAdsAGS6Tjq7bnn4eP/04AAEWM4jn7m+oasWFlRU7H2bCyQh8d9Ku2Mj8FpXPB/AFAplq3\n1OX8fXQmG1ZWqHVLnZGx5yowGNHbJ7u1/fhVnel5qGg8Oaefj8aTOtPzUNuPX9XbJ7spOgJQ9Nou\n9uppMmU0Qzw5obaLvUYzAECxczpKdGjbKn387utZOzDNX1elj999XYe2rZLzS2tzptfpZlLqNJdr\ncalTuxprjI2fzu7GGi0utefhtQCA4sSnDgAUoLHxhK4Hh3V3YFS3+0cUGIwoEksonpyQy1EiT5lT\nvmqP1tdWaF3NEm3yVjLRALJsalHhTM9D01GeYVHBPuz6MDswZM9cJiSSE9rfcSNvBZ5TgqGo9nfc\n0LmD/mmLtwAAFLPWLXX65NOhnHfOTqeQNlguJOtrK9TZO2Q6xgsaapeYjgAAQM5MFc8d6wwYy0Dx\n3KtNdY1ov9Kn45fuZ7Wrg8tRosPNq9W6pc7W61LMHwBkwuko0amWjdrT3pXX9X9vlVun3tlo6/dX\nafLZSLY/Y7r6Qtpx4lpBfMYAwHzcexxWV1/IdAxJk++5nw2G9Vp1uekoAFDUfNUenT3QpHuPw/pJ\nd1Dnbw7M6WAUt8uh3Y01avF7Z3zP9pQ5FRqLZyty1njKFhkdv6XJa6v9mC1+r+kIAIAFhioAACgg\n9x6H1dEd1IVXTBpDY3E9CEWfbZh0uxza1Vijliav6lew0AdkC4sKmEkkljAdIa1I7KnpCLbRfqXP\nyEYxSbr1aETtV/p0aNsqI+MDAJBvbLDE89bV2LOY0q65AADIFornCsNU14jm+uVqu9iblQ3l/roq\nte1ca9uO6l/G/AFAppaVl+n0vs3a+0FPXt5HvFVund63Wcs8ZTkfKxNPwjHt77iRk+8B8eSEjnUG\n9MmnQzrVslHLyu39ewEAc9HRHTQdYZqOrqCO7m4wHQMAFoT6FeU6urtBR96qf9aU5U7/qAJDEUVi\nTzWemFCps0SeskXyLfeooXbJrJuy+Ko9epDng+lnw2f4gLb6FeXy11XZ4oAFf10VBysAAPKOIk8A\nKACBwUhGD/Kj8aTO9DzUmZ6HBfUgH7A7FhUwk2yesJ9N4wl75sq3wGBE71363GiG45fuq7l+OZ/H\nAIAFgw2W+LJN3kq5XY45nXqca26XQ5u8laZjAACQUxTPFZZ8dI2wK+YPADJVW+nWR63+nBU1Ttmw\nskKn3tlo+/eP/uFoXt5Tbz0a0Z72Lp3et1m1le6cjgUA+TA2ntCFmwOmY0xz/uaAjrxV/8riIQBA\n9iwudWrrmqXaumZp1u65vrbiWRMXO2moNX8gatvOtdpx4prR/XcuR4l+8K21xsYHACxcPEkDABtL\nJCf0/uUvtOPEtawVkXX1hbTjxDW9f/kLJWxahAQUkrada+UyvDmJRQX7Mf3fxExKnfbMlW9tF3v1\nNJkymiGenFDbxV6jGQAAyLepDZYbVlbkdJwNKyv00UE/mwltbHGpU7saa0zHmGZ3Yw0bowAAC8JU\n8Zy3Kj/flSiey9xU14i/+INm/fi7v67vv+nTP1pbrV/92mJ97Ssuecqc+tpXXPrVry3WP1pbre+/\n6dOPv/vr+os/aNbR3Q0FV+A5hfkDgEwtKy/TuYN+ff9NX9af27gcJfr+mz6dO+i3/Wfck3Asb0Xz\nkhQMTRaUPgnH8jIeAOTS9eCwrQ6qkyYP+r8eHDYdAwCQoXU15osp07FDLl+1R4ebVxvNcLh5tdYY\n7moKAFiY2LUCADb1JBzL2cmi8eSEjnUG9MmnQzrVslHLyu394Amws6lFhWOdAWMZWFSwH0+ZU6Gx\nuOkYL/CULTIdwbh7j8O26L4rTR688NlguGA32gEAMB9TGyzbr/Tp+KX7WT2B1eUo0eHm1WrdUkeX\nqALQ0uTVmZ6HpmM80+L3mo4AAEDe0N2sMOWia4TdMX8AkCmno0SHtq1Sc/1ytV3szcrzAX9dldp2\nrpWv2v7P5hLJCe3vuJHXDt7SZKHn/o4bOnfQz3ssgIJ2d2DUdIS07g6MLqh5AQAUo03eSrldDlsd\nJuB2ObTJW2k6hiSpdUudPvl0KKdrlzPZsLJCrVvq8j4uAAASnTwBwJb6h6Pa096V8wnKrUcj2tPe\npf7h/D7UAYpN65a6nJ8mPhMWFezJrg/2fRQDq6M7aDrCNB1d9soDAEA+TG2w/Pjd1+Wvq8rKPf11\nVfr43dd1aNsqNg8WiPoV5Vn788+Uv66KgzcAAAsO3c1QKJg/AMgGX7VHZw806c8Pv6G9m78ut8sx\np593uxzau/nr+un33tDZA022fQ70vPYrfUY2RUuTexHar/QZGRsAsuV2v5n30Fe502/P4lMAwOwt\nLnVqV2ON6RjT7G6s0eJSe/QPczpKdKplo7xV7ryO661y69Q7G1kvAgAYY6VSKdMZANuyLMsv6Wdf\nvvazn/1Mfr/fUCIsBE/CMe1p78rraZreqslTu+noCcyfsb+7bJSypfcvf2G0u+tMvv+mT4e2rTId\nw5ix8YS+cfSS7U7B+4s/aLbNIikAACbcexzWT7qDOn9zYE6f026XQ7sba9Ti91KgV6ACgxHtOHEt\nqx2Z5srlKNGf/f7rWsOBKACABSwwGFmQ3c1QmJg/AMiGsfGErgeHdXdgVHf6RxUYiigSe6rxxIRK\nnSXylC2Sb7lHDbVLtK5miTZ5KwtuHT8wGNFvnbiqp0lz+8JcjhJ9/O7rfC8AULB+49hlPchzN+TZ\n+NWvLdblf/4bpmMAADJ073FY249fNR3jmZ9+7w3brZn0D0e194OevOzJ9Fa5dXrfZtVW5rewFADs\nqKurS9/85jefv/zNVCrVZSLPQlJYK5AAUOQSyQnt77iR1yIxSQqGotrfcUPnDvo5gQaYp2XlZTq9\nb3PeFxUo8LSndTVLTEdIy6658uV6cNhWBZ6SFI0ndT04rK1rlpqOAgCAMfUrynV0d4OOvFVf9Bss\nMZ2v2qPDzauNHpByuHk1BZ4AgAVvqrsZxXMoBMwfAGTD4lKntq5ZWtRr820Xe40WeEpSPDmhtou9\nOnugyWgOAJivSCxhOkJakdhT0xEAAFlQv6Jc/rqqrBy8lil/XZUt1/VqKycb2OzvuKFbj3LXYXvD\nygqdemcjezEBAMbxFAMAbKT9Sl9OJyIvc+vRiNqv9C3oDm9AplhUwJRN3kq5XQ5bFRS6XQ5t8laa\njmHU3YFR0xHSujswWtQbSQAAmK2FsMESL2rdUqdPPh0ysh6yYWWFWrfU5X1cAADsiuI5FBLmDwAw\ns3uPw7bYKC5JXX0hfTYYtuWGcQB4lXhywnSEtMYT9swFAJi7tp1rtePENaOfOS5HiX7wrbXGxn+V\nZeVlOnfQr/YrfTp+6X5Wf69cjhIdbl6t1i11NMgBANhCUT9tsyzr1yStk/RfSfqKpJikv5Z0T9LN\nVCrFkUYAbCMwGNF7lz43muH4pftqrl8uXzUdLID5YlEB0uQGo12NNTrT89B0lGd2N9Ys+M12t/vN\nHKTwKnf67Vl8CgAAkA9OR4lOtWzUnvYuBUPRvI3rrXLr1DsbmVsBAJAGxXMAABS2ju6g6QjTdHQF\ndXR3g+kYADBnLpuuHZY67ZkLADB3vmqPDjev1rHOgLEMh5tXa81ye+8ZdjpKdGjbKjXXL1fbxd6s\nHGrjr6tS28617JcGANhK0c32LMtaaVnWMcuyBiT1SvpTSX8s6V9LOibpTyT1SApZlvUTy7J+3VjY\nX7As608sy0rl4Z/fnUOmBzkY/09y97sIFL62i716mkwZzRBPTqjtYq/RDEAxmFpU+Pjd1+Wvq8rK\nPf11Vfr43dd1aNsqNiEXiJYmr+kI07T47ZXHhMBgxHSEtAJD9swFAACQL8vKy3R632Z5q9x5Gc9b\n5dbpfZu1zFOWl/EAAAAAAMiXsfGELtwcMB1jmvM3BzQ2njAdAwDmzFNmz0OUPWWLTEcAAGRR65Y6\nbVhZYWTsDSsr1LqlzsjY8+Gr9ujsgSb9+eE3tHfz1+V2Oeb0826XQ3s3f10//d4bOnugiQJPAIDt\n2HMWOg+WZZVI+p8k/QtJvzKLH/FI2itpr2VZHZLeTaVStNABYMS9x+GsnCyTDV19IX02GNZr1eWm\nowAFb2pR4d7jsH7SHdT5mwOKxpOz/nm3y6HdjTVq8Xv5O1mA6leUy19XZYv3d39dFf8NSYrE7LmB\nIBJ7ajoCAACAcbWVbn3U6tf+jhu69Sh3Hdg3rKzQqXc2UuAJAAAAAChK14PDc3oemQ/ReFLXg8N0\nCQdQcHzVHj0IRU3HeIHP5t3WAABz43SU6FTLRu1p71Iwj5873iq3Tr2zsSAbTtSvKNfR3Q068la9\nrgeHdXdgVHf6RxUYiigSe6rxxIRKnSXylC2Sb7lHDbVLtK5miTZ5K7W4tGjKZwAARagoPqUsy/oV\nSR9J+sfzvEWLpCbLst5MpVJ/lb1ktnPfdAAA6XV0B01HmKajK6ijuxtMxwCKBosKC1fbzrXaceKa\n4skJYxlcjhL94FtrjY1vJyb/HF5mPGHPXAAAAPm2rLxM5w761X6lT8cv3c/q9zeXo0SHm1erdUtd\nQT6sBgAAAABgNu4O2PN8+7sDoxR5Aig462sr1Nk7ZDrGCxpql5iOAADIsmXlZTq9b7P2ftCTl0JP\nb5Vbp/dtLvhDUReXOrV1zVLmGgCAolHwVQOWZTkknZO0fYZf8lTSp5L+RpPdO39N0lfS/LrVkv4v\ny7K+mUqlHuciq2GBVCr1n02HAPCisfGELtwcMB1jmvM3B3TkrXqKy4AsY1Fh4fFVe3S4ebWOdQaM\nZTjcvFprOMlT0uTGfjsqddozFwAAgAlOR4kObVul5vrlarvYq66+UMb39NdVqW3nWvmq+V4MAAAA\nIL/GxhPPDgC93T+iwGBEkVhC8eSEXI4Secqc8lV7tL62ggNAkRW3+0dMR0jrTr89i08B4GXW1diz\nmNKuuQAAmamtdOujVr/2d9zQrUe5+16/YWWFTr2zseALPPEi1iAAoPAVw7vyHyp9geeIpB9I+t9S\nqdSzlULLshZJ2inpf5G05rmf+TuSzlqW9ZupVCqZm7hp/WtJP8zSvf6hJv+9n/dhFu7925IyKYD9\n6yxkAIrO9eCwovF8vuW8WjSe1PXgMIVoAJAFrVvq9MmnQzldfJvJhpUVat1Sl/dx7cpT5lRoLG46\nxgs8ZYtMRwAAALAdX7VHZw806d7jsH7SHdT5mwNzWj9xuxza3VijFr9Xr1WX5zApAAAAALzo3uOw\nOrqDuvCKuUxoLK4HoeizLmFul0O7GmvU0uRV/QrmMpi7wGDEdIS0AkP2zAUAL7PJWym3y2GrfV1u\nl0ObvJWmYwAAcmRZeZnOHfSr/Uqfjl+6r3hyImv3djlKdLh5tVq31Mlp04PyMT+sQQBA8SjoIk/L\nsjZI+h/TvPRXkppTqVTf8y+kUqmnks5ZlvVTTXYAffO5X7JV0kFJ72c57oxSqdRfSvrLbNzLsqwj\naS4nJP27LNz+ZiqVepCF+wD4krsD9jyx8u7AKEWeAJAFTkeJTrVs1J72LgVD0byN661y69Q7G1mU\n+xJftUcP8vhnMFs+Oq0CAADMqH5FuY7ubtCRt+qfnTx7p39UgaGIIrGnGk9MqNRZIk/ZIvmWe9RQ\nu4STZwEAAAAYExiMqO1ir7r6QvP6+Wg8qTM9D3Wm56H8dVVq27lWvmrWkDF7kVjCdIS0IrGnpiMA\nwJwtLnVqV2ONzvQ8NB3lmd2NNax7AkCRczpKdGjbKjXXL89ofvllzC+LE2sQAFB8Cn22979Kcjx3\nbUzSW+kKPL8slUqNWZb125J+Lmntcy//oWVZP06lUn+bvai5Z1lWtdJ3Nf0/UqnUYL7zAJid2/35\n7+w2G3f67Vl8CgCFaFl5mU7v26y9H/TkpdDTW+XW6X2btcxTlvOxCsn62opnJ5HZSUPtEtMRAAAA\nbG9xqVNb1yzlQCoAAAAAtpRITmS900pXX0g7Tlyj0wrmJJudfrJpPGHPXADwKi1NXlsVebb4vaYj\nAADyxFft0dkDTbr3OKyfdAd1/hVdGp/ndjm0u7FGLX6vXqumS2MxYQ1idsbGE88OEb7dP6LAYESR\nWELx5IRcjhJ5ypzyVXu0vraCQ4QB2EbBvgtZlrVJ0m+meelfp1Kpz2Zzj1QqFbUsa7+knz330lcl\nHZD0R5mlzLvvKP2f6Yf5DgJg9gKDEdMR0goM2TOXnTEhAPAytZVufdTq1/6OG7r1KHcF/htWVujU\nOxsp8ExjXY09iyntmgsAAAAAAAAA8GpPwrGcrf3HkxM61hnQJ58O6VTLRi0rZ+0fL+ey6UbcUqc9\ncwHAq9SvKJe/riorXdQy5a+rokgHABag+hXlOrq7QUfeqn+2P/VO/6gCQxFFYk81nphQqbNEnrJF\n8i33qKF2CftTixhrEK9273FYHd1BXXhFYXRoLK4HoeizphFul0O7GmvU0uRV/Qq+cwEwo5A/uQ+k\nuRaSdGIuN0mlUl2WZXVKevO5l/ar8Io8fy/NtSFJ/yHfQQDMXiSWMB0hrUjsqekIBYMJAYDZWlZe\npnMH/Vk/SUuafGhfTCdp5cImb6XcLsecTrXLNbfLoU3eStMxAAAAAAAAAADz0D8c1d4PehQMRXM6\nzq1HI9rT3qXT+zarttKd07FQ2DxlToXG4qZjvMBTtsh0BACYt7ada7XjxDWj3ZJdjhL94FtrjY0P\nADBvcalTW9cs1dY1S01HgSGsQbxcYDCitou98z6cIxpP6kzPQ53peSh/XZXadq6Vr9qT5ZQA8HIF\nufvbsiynpP8mzUunU6nUfD61TqW59pplWX9vHvcywrKsvy/Jl+alH6dSKXtWkAGQJKMLgC8znrBn\nLjsJDEb09slubT9+VWd6Hs65aGhqQrD9+FW9fbLbtl1dAWSX01GiQ9tW6eN3X5e/rior9/TXVenj\nd1/XoW2rKPB8icWlTu1qrDEdY5rdjTWcmgcAAAAAAAAABehJOJaXzZVTgqHJzZxPwrG8jIfCZNcN\nqL7l9swFALPhq/bocPNqoxkON6/WGt5LAQBYsFiDmFkiOaH3L3+hHSeuZa37eldfSDtOXNP7l79Q\nwqb7/AEUp0LdTdwkKV27m3PzvN9/kPT/SfqV565vl/R/z/Oe+fbdGa5/mNcUAObMZdNinFKnPXPZ\nQSI5kfUufFMTArrwAQuHr9qjsweadO9xWD/pDur8K7oBP8/tcmh3Y41a/F69Vk034NlqafLqTM9D\n0zGeafF7TUcAAAAAkEVj4wldDw7r7sCobvePKDAYUSSWUDw5IZejRJ4yp3zVHq2vrdC6miXa5K3k\n4BcAAIAClEhOaH/HjbxtrpwSDEW1v+OGzh308zwRaa2vrVBn75DpGC9oqF1iOgIAZKR1S50++XRI\ntx6N5H3sDSsr1LqlLu/jAgAAe2ANYmZPwjHt77iRk+9o8eSEjnUG9MmnQzrVslHLysuyPgYAPK9Q\ndw5sS3MtKqlrPjdLpVIxy7J+Juk3n3vpH0g6Op975pNlWV+R9DtpXvrPqVQqkB5+69cAACAASURB\nVO88AObGU+ZUaCxuOsYLPGWLTEewJSYEALKtfkW5ju5u0JG36p9tBL7TP6rAUESR2FONJyZU6iyR\np2yRfMs9aqhdwkbgDNSvKJe/riprp3Zlwl9XRYEuAAAAUCTuPQ6rozuoC684wCc0FteDUPTZpmu3\ny6FdjTVqafKqfgXzAwAAgELRfqXPSJGHJN16NKL2K306tG2VkfFhb+tq7FlMaddcADBbTkeJTrVs\n1J72rrwWWHir3Dr1zkbbFlYAAIDcYw0ivf7haF66m956NKI97V06vW+zaivdOR0LAAp1V/g30ly7\nmUqlnmZwz5/rxSLPv5fB/fLpdyR9Jc31H+U7CIC581V79CDPp6vMhm+5x3QE22FCACCXFpc6tXXN\nUm1ds9R0lKLXtnOtdpy4lrVuzPPhcpToB99aa2x8AAAAANkRGIyo7WLvvA+SicaTOtPzUGd6Hspf\nV6W2nWvlq2ZdDgAAwM4CgxG9d+lzoxmOX7qv5vrlfHfECzZ5K+V2OV56+Ey+uV0ObfJWmo4BZM3Y\neOLZ4b23+0cUGIwoEksonpyQy1EiT5lTvmqP1tdWcHhvkVlWXqbT+zbnZe+QNFngeXrfZi3zcEg8\nAAALFWsQ6T0Jx/L2nUya7Gq694MefdTqp4EPgJwq1ON91qe5djfDe95Oc63CsixvhvfNh++mufa3\nkv73XAxmWZbLsqway7I2WJbV8Iv//Su5GAtYCNbXVpiOkFZDLSdpfpmpCcGTcCwv4wHAQuKr9uhw\n82qjGQ43r9YaDlQAAAAAClYiOaH3L3+hHSeuzbvA83ldfSHtOHFN71/+QgmDh9IAAADg5dou9upp\nMmU0Qzw5obaLvUYzwJ4Wlzq1q7HGdIxpdjfWUOCGonDvcVhHzt/RN45e0nc+/LmOdQbU2TukB6Go\nQmNxRWIJhcbiehCKqrN3SMc6A/rOhz/XN45e0pHzd3Tvcdj0vwKyoLbSrY9a/dqwMrf7vTasrNBH\nB/0cDg8AwALHGsSLEskJ7e+4kdfu6tLkvu79HTd4hgcgpwquyNOyLJeklWle+iLDW//lDNfrMrxv\nTlmWtUbS30/z0p+mUqmxLA/3ryzL+rmkMUn9kv4fTRbH9kuKWpb12LKsf29Z1vcsy0r3ZwQgjXU1\n9iymtGsuE5gQAEDxad1Sl/MHbzPZsLJCrVtsPc0AAAAA8BJPwjF9+4ddOtYZUDzL6zbx5ISOdQb0\n7R92cfgXAACADd17HM7aIR+Z6uoL6bNBCobwopYme51n3+K3Vx5grgKDEb19slvbj1/VmZ6Hc+6U\nG40ndabnobYfv6q3T3YrMBjJUVLky7LyMp076Nf33/TJ5cjuFlyXo0Tff9Oncwf9dPAEAGCBYw0i\nvfYrfbr1aMTI2Lcejaj9Sp+RsQEsDAVX5KnJAs90uQcyvO9MP/93MrxvrqXr4ilJP8rBWL8r6RuS\nZjper1rStyX9saQ+y7LOWpbVmIMcs2ZZlj+TfyStM5kfC8Mmb6XcLofpGNO4XQ5t8laajmEbTAgA\noPg4HSU61bJR3qr8nnzqrXLr1Dsb5czywz4AAAAA+dE/HNWe9q6crxXdejSiPe1d6h/O76FjAAAA\neLmO7qDpCNN0dNkrD+yhfkW5/HVVpmNIkvx1VXqtutx0DGBeEskJvX/5C+04cS1rm+u7+kLaceKa\n3r/8BQd+Fzino0SHtq3Sx+++nrX3XH9dlT5+93Ud2raK58kAAIA1iDQCgxG9d+lzoxmOX7rPwS0A\ncqYQZ4JLZ7g+lOF9Z/r5mcYzzrIsh6R30rx0L5VKdeU7z3Ockv5bST+3LOtfWpZl6r+1n2X4z8n8\nR8ZCs7jUqV2NNaZjTLO7sUaLS2eq515YmBAAQPFaVl6m0/s2563Q01vl1ul9mzlxFQAAAChQT8Ix\n7f2gR8FQfgovg6Go9n7QQ0dPAAAAmxgbT+jCzUzPH8+u8zcHNDaeMB0DNtS2c23Wu8vNlctRoh98\na63RDMB8PQnH9O0fdulYZ0DxLBdjxpMTOtYZ0Ld/2MWcvwj4qj06e6BJf374De3d/PU5H/Tvdjm0\nd/PX9dPvvaGzB5rkq/bkKCkAACgkrEGk13axV0+TKaMZ4skJtV3sNZoBQPEqxAqer85wfTSTm6ZS\nqaRlWWOSFj/3kj2OtkvvLUkr0lz/MN9BXsIp6Q8lbbEsa0cqlWJlCkijpcmrMz0PTcd4psXvNR3B\nNuw0ITh7oMloDgAoRrWVbn3U6tf+jhs57cSzYWWFTr2zkQJPAAAAoEAlkhPa33EjbwWeU4KhqPZ3\n3NC5g346OAAAYENj4wldDw7r7sCobvePKDAYUSSWUDw5IZejRJ4yp3zVHq2vrdC6miXa5K3koNUC\ndj04rGg8aTrGNNF4UteDw9q6xrbnl8MQX7VHh5tX61hnwFiGw82rtWY5xUooPP3D0bwc8nTr0Yj2\ntHfp9L7Nqq3Mz6G0yJ36FeU6urtBR96qf/b98E7/qAJDEUViTzWemFCps0SeskXyLfeooXYJ3w8B\nAMCMWIN40b3HYXX1hYyM/byuvpA+Gwzrtepy01EAFJlCnB1+ZYbrf5uFe6cr8nz+/9vJd9NcS0jq\nyOIYE5L+QtIlSbckfSrpiSaLap2SKiV5JX1T0g5JW2a4T7Ok05Zl7UmlUtk93gwoAvUryuWvq7LF\nl09/XRVfOn+BCQEALAzLyst07qBf7Vf6dPzS/ayexutylOhw82q1bqljQzYAAABQwNqv9OX0YJiX\nufVoRO1X+nRo2yoj4wMAgBfdexxWR3dQF24OvHTDXWgsrgehqDp7hyRNdmra1Vijliav6lfwzKfQ\n3B3I6OzxnLk7MEqRJ9Jq3VKnTz4dMjKX2bCyQq1b6vI+LpCpJ+FYXgo8pwRDkwWlH7X6taycw2KL\nweJSp7auWcpnMwAAyAhrEC/q6A4aGXcmHV1BHd3dYDoGgCJTiEWei2a4no3ez0/TXHNl4b5ZZ1nW\nMkn/OM1Lf5ZKpYayMMRtSX8s6SepVGqmCqe4pKikAUk/k/RvLMtqlPS+JH+aX//bkv6FJjt7AnhO\n28612nHiWlYLS+bK5SjRD7611tj4dsOEAAAWDqejRIe2rVJz/XK1XezNSpG/v65KbTvXylfNKdXI\nPbpGAAAA5E5gMKL3Ln1uNMPxS/fVXL+c+QUAAIYFBiMZrR9G40md6XmoMz0PWT8sQLf7zRz68Sp3\n+u258RPmOR0lOtWyUXvau/JWsCZJ3iq3Tr2zkcMvUXASyQnt77iR178v0mSh5/6OGzp30M/fGwAA\nAEhiDeJ5Y+MJXbg5YGTsmZy/OaAjb9Wz/wpAVhXiO4pjhuvZ6Eed7h52/T16R+kLXn+UjZunUqmd\n8/y5m5ZlvSHpjyT9fppf8j9YlnUqlUo9zijg7H0zw59fJ+lkNoIAr+Kr9uhw82od6wwYy3C4ebXW\nLOdBssSEAAAWKl+1R2cPNOne47B+0h3U+VecxP88t8uh3Y01avF76b6MvKBrBAAAQO61XezV02TK\naIZ4ckJtF3t19kCT0RwAACxUieSE2q/06fil+1k7sLWrL6QdJ67pcPNqtW6po6ijAAQGI6YjpBUY\nsmcu2MOy8jKd3rc5b50JvVVund63Wcs8dCRE4Wm/0mek860k3Xo0ovYrfTq0bZWR8QEAAGAvrEFM\ndz04PKc9fPkQjSd1PThMB3cAWVWIVSIzdezMxr9Lunuk6+5pB7+X5tpjSX+e7yDPS6VSScuyvifp\nq5L+6XMvL9ZkN89DecrSlcnPW5aVrSjArLRuqdMnnw4ZWTTesLJCrVvq8j6uXTEhALBQ0Q1wUv2K\nch3d3aAjb9U/+/240z+qwFBEkdhTjScmVOoskadskXzLPWqoXVLUvx+wH7pGoBDxGQMAKET3Hofn\n/Z0r27r6QvpsMMyBMgAA5NmTcEz7O27k5PldPDmhY50BffLpkE61bNSycoqi7CwSm2m7ilmRmF23\ntcAuaivd+qjVn7P3sikbVlbo1DsbKfBEQQoMRvTepc+NZjh+6b6a65fzvAYAAACsQTzn7oCZDqKv\ncndglD3dALKqEHfKjc9w3ZWFe6e7x0zjGWNZVpOkX0vz0o9TqZQtKpJSqVTKsqx3JW2XVPXcy79t\nWdY/S6VSZo8+B2zI6SjRqZaN2tPelZdTNKd4q9w69c5GTgj+EiYEABYaugGmt7jUqa1rlvLeC9ug\nawQKEZ8xAIBC1tEdNB1hmo6uoI7ubjAdAwCABaN/OJqX7ne3Ho1oT3uXTu/brNpKd07Hwvxlaz0u\n28YT9swFe1lWXqZzB/1ZX1+WJJejhPVlFLy2i716mjS7lS2enFDbxV6dPdBkNAcAAADMYw1iutv9\n+W+eNBt3+u251xxA4SrElbWZejxn4wirdPcIZ+G+2fbdGa5/mNcUr5BKpUYk/ds0L1VLasxzHKBg\nLCsv0+l9m+Wtys8DXG+VW6f3beY0zecwIQCwUAQGI3r7ZLe2H7+qMz0P59zFeKob4PbjV/X2yW4F\nBmf6ug4gU0/CMX37h1061hnI+mLuVNeIb/+wS0/CsazeGwsXnzEAgEI3Np7QhZsDpmNMc/7mgMbG\n7Xl6MwAAxeZJOJaXAs8pwdBkQSlrM/blsmnxWqnTnrlgP05HiQ5tW6WP331d/rrnz2ufH39dlT5+\n93Ud2raKAk8UrHuPw+rqC5mOIWnyYM7PBu24XREAAAD5xBrEdHbdLxIYsmcuAIXLnu/+LzfTikpF\nJje1LKtMUukcxjPCsiy3pH+S5qWrqVTqfr7zzMKfzXD9G3lNARSY2kq3Pmr1a8PKjN7aXmnDygp9\ndNDPicBpMCEAUOwSyQm9f/kL7ThxLWsPLae6Ab5/+QslbHqaGFCo+oej2tPepVuPcnsQxVTXiP7h\n/HWVR/HhMwYAUCyuB4fnfEhBrkXjSV0PDpuOAQBA0UskJ7S/40beCjynBENR7e+4wdzXpjxlTtMR\n0vKULTIdAQXGV+3R2QNN+vPDb2jv5q/L7XLM6efdLof2bv66fvq9N3T2QJN81dk4lx8wp6M7aDrC\nNB1d9soDAACA/GMNYrpIzJ4HoEZiT01HAFBk7Pnu/3KDM1yvzvC+M/38TOOZskdSeZrrP8p3kFm6\nKSklyXru+nIDWYCCsqy8TOcO+tV+pU/HL93Parcml6NEh5tXq3VLHadpzoAJAYBi9iQc0/6OGzkp\nFpvqBvjJp0M61bJRy8rpFA1kylTXiI9a/fwdxpzxGQMAKCZ3B0ZNR0jr7sCotq5ZajoGAABFrf1K\nX84P25rJrUcjar/Sp0PbVhkZHzPzVXv0IM+Fv7PhW06BHeanfkW5ju5u0JG36nU9OKy7A6O60z+q\nwFBEkdhTjScmVOoskadskXzLPWqoXaJ1NUu0yVupxaWFuOUMeNHYeEIXbg6YjjHN+ZsDOvJWPX/P\nAAAAFjDWIKbL5h76bBpP2DMXgMJViCsB/0XSuF7suvn1DO8708//VYb3zbbvprkWlvRRvoPMRiqV\nSlqWFZL0tedeWmYiD1BonI4SHdq2Ss31y9V2sTcrXXD8dVVq27mW0zRfgQkBgGLVPxzNS7HYVDfA\n0/s20zEayIDprhHnDvo5FASzxmcMAKDY3O43U9jxKnf67Vl8CgBAsQgMRvTepc+NZjh+6b6a65fz\nPM9m1tdWqLN3yHSMFzTULjEdAQVucalTW9cs5TAZLEjXg8OKxpOmY0wTjSd1PTjM30kAAIAFjDWI\n6Vw23btU6rRnLgCFq+DeVVKpVErSX6Z5aU2Gt149w/UvMrxv1liW9XclvZHmpT9NpVL2O6rh5Vym\nAwCFxFft0dkDTfrzw29o7+avy+1yzOnn3S6H9m7+un76vTd09kATD4RngQkBgGJkqhvgk3AsL+MB\nxcgOXSOA2eAzBgBQjAKDEdMR0goM2TMXAADFou1ir54mU0YzxJMTarvYazQDXrSuxp7FlHbNBQCF\n4O6APQ9SsmsuAAAA5Idd5/qmcnnK7NnbzlO2yHQEAEXGnu92r3ZT0q89d21DhvdsTHOtP5VK/U2G\n982m70qy0lz/Ub6DzJZlWQ5JVWleCuc7C1AM6leU6+juBh15q17Xg8O6OzCqO/2jCgxFFIk91Xhi\nQqXOEnnKFsm33KOG2iVaV7NEm7yVWlxaqG/5ZnjKnAqNxU3HeAETAgDzRTdAoPDQNQKFgs8YAECx\nisQSpiOkFYk9NR0BAICide9xWF19IdMxJEldfSF9NhjWa9XlpqPgFzZ5K+V2OWzV8c3tcmiTt9J0\nDAAoWLf7zRy0+Sp3+inyBAAAWMhYg5jOV+3RgzzvSZkN33L2UwHIrkKt+OmRtPe5a79mWdaSVCo1\n3xUO/wzj2MIviiW/k+al3lQqZZucaTQqfWHqw3wHAYrJ4lKntq5Zqq1rlpqOUrSYEAAoNnboBnho\n2yoj4wOFyk5dI84eaDKaA/bGZwwAoFjFkxOmI6Q1nrBnLgAAikFHd9B0hGk6uoI6urvBdAz8wuJS\np3Y11uhMj322O+xurOGwX6BIjY0nnh3+fbt/RIHBiCKxhOLJCbkcJfKUOeWr9mh9bQWHf2cgMBgx\nHSGtwJA9cwEAACA/WIOYbn1thTp7h4yM/TINtfbsuAqgcBXqys6lNNcckpolnZvrzSzLWqb0nTzT\njWPKm5Jq0lz/MN9B5mjHDNdv5jUFAMwREwIAxYRugEDhoWsECgWfMQCAYuayaafoUqc9cwEAUOjG\nxhO6cHPAdIxpzt8c0JG36inasZGWJq+tNli2+L2mIwDIsnuPw+roDurCzYGXdu0JjcX1IBR9tq/B\n7XJoV2ONWpq8ql/Bev5sRWIJ0xHSisSemo4AAAAAw1iD+KV1NfbcO23XXAAKV0HuBEilUvck/WWa\nl/7JPG/5O3qx22RK0p/N83658N00155K6sh3kNmyLKtC0j9L81JE0s/zHAcA5sSuX7ztmguAvdmp\nGyCA2bFj1wggHT5jAADFzFNmz2IKT9ki0xEAAChK14PDLy2mMSEaT+p6cNh0DHxJ/Ypy+euqTMeQ\nJPnrqjiYDSgigcGI3j7Zre3Hr+pMz8M5fyZF40md6Xmo7cev6u2T3bbtUGk38eSE6QhpjSfsmQsA\nAAD5wxrEL23yVsrtchgbPx23y6FN3krTMQAUGXvuUJidn0j6V89d22VZ1spUKvVotjexLMuSdCjN\nS/8xlUr1ZxIwWyzL+prSd8T8OJVK/XW+88zGL35fT0j6apqX/30qlRrPcyQAmJOpCYGdHuYzIQAw\nH3QDBAoPXSNQKPiMAQAUO1+1Rw9CUdMxXuBbTvdqAIA5Y+MJXQ8O6+7AqG73jygwGFEkllA8OSGX\no0SeMqd81R6tr63Qupol2uStLJj1hLsDo6YjpHV3YFRb1yw1HQNf0rZzrXacuGa0MMjlKNEPvrXW\n2PgAsieRnFD7lT4dv3Q/a+8rXX0h7ThxTYebV6t1S52cjoLsA5EXLpv+3pQ67ZkLAAAA+cUaxKTF\npU7taqyxVWfT3Y01BbPuCaBwFPJqwElJ8eeuLZL0P8/xPr8n6bU01//tbG9gWdYDy7JSz/3zYI45\nXuafSnKluf6jLI4hSbIs6zcsy6rN8B4OSe9pMvfzkpKOZXJ/AMiHqQmBnTAhADAfdAMECg9dI1Ao\n+IwBABS79bUVpiOk1VC7xHQEAMACdO9xWEfO39E3jl7Sdz78uY51BtTZO6QHoahCY3FFYgmFxuJ6\nEIqqs3dIxzoD+s6HP9c3jl7SkfN3dO9x2PS/wivd7h8xHSGtO/32LD5dyHzVHh1uXm00w+Hm1VrD\n4R9AwXsSjunbP+zSsc5A1jdtx5MTOtYZ0Ld/2KUn4VhW711MPGX23IPhKVtkOgIAAABsgDWIX2pp\n8pqOME2L3155ABSHgi3yTKVS/0XSh2leeseyrD2zuYdlWWsk/VGal+5KupBBvGz7bpprA5I6czDW\nLkl9lmX9O8uy/oFlWXNaybIs67+WdEXS78/wS95LpVL3Mg0JAPnAhABAobNrN8Cx8YTpGICt2blr\nBDCFzxgAwEKwrsaexZR2zQUAKE6BwYjePtmt7cev6kzPwzkfTBWNJ3Wm56G2H7+qt092KzAYyVHS\nzNk1W2DInrkWutYtddqw0syhIBtWVqh1S52RsQFkT/9wVHvau3TrUW4PGbj1aER72rvUPxzN6TiF\nyldtfrN6Oj4bbKIHAACAPbAGMal+Rbn8dVWmY0iS/HVVeq263HQMAEWoYIs8f+FfSvp/01zvsCzr\n7Zf9oGVZjZL+T0npdkP8fiqVMtfT+kssy/qGpIY0L/04lUrlqrXLIkktmvz9GbIs64xlWf/csqx/\naFnW37Usa6llWS7Lssosy1phWZbfsqz/3rKs/yjppqRvznDfa5KO5CgzAGQdEwIAhY5ugEBhomsE\nCgGfMQCAhWCTt1Jul8N0jGncLoc2eStNxwAALACJ5ITev/yFdpy4pq6+UFbu2dUX0o4T1/T+5S+U\nyHK3smyIxOx5cFAk9tR0BKThdJToVMtGeavceR3XW+XWqXc2yuko9O0+wML2JBzT3g96FAzlp/Ay\nGIpq7wc9dPRMY32tmc3yr9JQywFPAAAAmMQaxC+17Vwrl+E8LkeJfvCttUYzAChec+rSaDepVOpv\nLMv67ySdf+6lUklnLMtqkdQuqVvS30jySNogaa+k39VkMePz/jiVSl3OWei5S9fFM6X0XUxz4auS\n3v7FP5n4T5J2plKpeOaRACB/2nau1Y4T1xQ3uNmACQGA+bJr1727A6Paumap6RiAbdE1AoWAzxgA\nwEKwuNSpXY01OtPz0HSUZ3Y31mhxaUE/2gGAWRsbT+h6cFh3B0Z1u39EgcGIIrGE4skJuRwl8pQ5\n5av2aH1thdbVLNEmbyXvkVnyJBzT/o4bOeksFk9O6FhnQJ98OqRTLRu1rLws62PMl8lnQS8znrBn\nLkjLyst0et/mvBVqeavcOr1vs5Z57PP3BsDcJZIT2t9xI28FnlOCoaj2d9zQuYN+W23SNm1djT2L\nKe2aCwAAAGawBjHJV+3R4ebV/z979x8bdZ7n+f1VPyjXlqeMHQ92sTZdOyVwdcUY5BitXUk3HFnr\nepsVNL45pEyIkXYDGAn1eRKldSc2P9x3x90fJJvmyCjjcSuXiRvQieNA9EUztEhGx6CUvQuH+OGm\nq5nzdYF92CQl/6iz1y7qR/7wwGAwmB9V9flW+fmQ9o91Ud/Pa8Bd3/p+v5/3+61jF6PGMnS3b1BD\nrdfY+gBKW9E/5cpms+dtNtsRSf9oiZc//O3/vap/Kenv5iRYDthstt/T0sWV/yqbzf6bQud5Q0lJ\n/4OkY3mcPAoAecMFAYBixjRAoDgxNQLFgHMMAGCl6GzzW6rIszPsNx0BAPLuzoNp9Q/EdP76qGaT\nL368GJ9J6rv4rC4OjUtamHa8u7lOnW1+hdZWFCpuyRmZmC3IZrEb9ye1pzeik/tbVV9V2CkEL2J6\nCsCLlDmtmQsL6qs8OtMVzlth9GOb11Wqb1+L5TZXAnh9vZeH8/p58TI37k+q9/KwDm9fb2R9K9ri\nr5LH5Xjp985C87gc2uKvWvbP0RQFAABgZeEexIKurQF99fW4keuqzesq1bU1UPB1AawcJXHVns1m\n/7HNZvtrSf+jJMcbHuYLSfuz2ayVdq3+UNJSbbnyOcXztqRRSXVveZwZSacl/UU2m73z1qkAwCAu\nCAAUK6YBAsWJqREoBpxjAAArRWhthcKBakWG46ajKByo1rs+ipYAlK7oWEI9F4be+DN3NpnWqcF7\nOjV4T+FAtXp2NSroo4Hi63g4PVewaQDSwkSxvZ8P6kxX2BITPb1up+IzSdMxnuN1rzIdAcuoqXDr\n7KGwei8P6/iluzm9v+dy2NXdvkFdWwNM3gNKQHQsoc8ufWs0w/FLd9UequV70m+Vlzm1u7nOUg2e\nOprrXlqMSVMUAACAlYt7EJLTYVdfZ4v29EYKdh9TWphu2revxdJ/NwCKX8l8wmSz2c8k/SeSrr3m\nWx9I6sxms53ZbHY+98neyp8t8bMpSf88Xwtms9nPs9lsvaTgb9c/IemyFv6eXvYtICXphqSfSfpT\nSb+fzWYPUOAJoBQ8viDwVxe2kzQXBADeFtMAgeLE1AgUA84xAICVpGdXo/HvaC6HXZ9+1Gg0AwDk\nSyqd0U9+9RvtPHElZ0X1keG4dp64op/86jdKWbSZktWk0hkd6L9W0I1R0kKh54H+a5b4d7JqsUuw\n1pq5sJjTYdfh7ev15cfvKRyozskxw4Fqffnxezq8fT3PC4ES0XNhSI/SWaMZkumMei4MGc1gNZ1t\nftMRFukML50nOpbQj342oA+P/1qnBu+99vTRx01RPjz+a/3oZwOWbeYIAACAl+MexEKx68n9rQXb\n1+2v9ujk/lbLTjcFUDpKYpLnY9lsdlDSFpvN1i7pv5DUrqUnUk5K+rUWiiX/2dsWd2az2T94m/e/\nxN/T84W4U9ls9q/ztN4T2Wz2W0nfSvqnj39ms9mcknySvJI8Wij6nNLC3+dUNpt9vTtHAFBEHl8Q\nFKqDNRcEAHKBaYBAcWJqBIoB5xgAwEoS9HnV3b5Bxy5GjWXobt+gBgo8AJSgh9NzOtB/TTfuT+b8\n2Ml0RscuRvXV1+Pq62yxxKRIK+u9PJyXf4dXceP+pHovD+vw9vVG1n9sU33lk0lXVtJUv9p0BLyG\noM+r0wfbdOfBtL4YiOncMlPWnuVxOdTRXKfOsJ8p7kCJufNgOmcNLd5WZDiub8am+Zz5rdDaCoUD\n1Zb49wkHqp/7d0mlMzmf1PS4KUoxTGoCAADA0lb6PYj6Ko/OdIXzdn/5sc3rKtW3r4X93AAKoqSK\nPB/LZrOXJF2SJJvNVinp9yWVS5qT9P9ls9kHBuO9smw2+5emMzwtm82mJI2YzgEApnBBAKDYmJ40\n8yJMAwReLujz6rsCT814FUyNwNM4xwAAVpqurQF99fW4keKXzesq1bU1oiVf+wAAIABJREFUUPB1\nASDfRiZmC9JY8cb9Se3pjejk/lbVVxWms3uxiY4l9Nmlb41mOH7prtpDtUanaW6ss2YxpVVz4eVC\nayt0tKNJR3aEdDU2odujU7o1MqXoeEKJuUeaT2VU5rTL616lYK1XTfWrtbFutbb4q1ReVpJbeYAV\nr38gZjrCIv2RmI52NJmOYRk9uxq188QVow0OXQ67Pv2ocdHPaIoCAACA5azkexA1FW6dPRTOeVMU\naeH7OU1RABRacX8qv4JsNjuphUmTAAC8NS4IABQTpgEC+Tczn3pyg/TmyKSiYwkl5lJKpjNyOezy\nup0K+rzaVF/5yjdImRqBYsA5BgCw0jgddvV1tmhPbyTvxUhP81d71LevhXtFAErOw+m5ghR4PhaL\nLxSUnukKs3l9CT0XhvQonTWaIZnOqOfCkE4fbDOWYYu/Sh6X47UmHuSbx+XQFn+V6Rh4C+VlTm1r\nWKNtDWtMRwFg0Mx8Suevj5qOsci566M6siNU9Ju6cyXo86q7fYOOXYway9DdvkENTzXcpCkKAAAA\nXsdKvQfhdNh1ePt6tYdq1XNhSJHh+FsfMxyoVs+uRqMN6QCsTNylAQDgNXFBAKBYMA0QyJ87D6bV\nPxDT+eujL934F59J6rv47JOiTY/Lod3Ndeps8yu0tmLJ91h1OoNVc8EMzjEAgJWopsKtk/tbC1aU\n5K/26OT+VtV4KUYCUFpS6YwO9F8raNG8tFDoeaD/ms4eClM8/5Q7D6Zz8pwjFyLDcX0zNq13fUvf\nM8m38jKndjfX6dTgPSPrL6WjuY7iGwAoAVdjE5ZqIiBJs8m0rsYmVtwG8Jfp2hrQV1+P52Vq5nI2\nr6tU19bAk/+fpigAAADA6wn6vDp9sE13Hkzri4GYzi2zp+tZHpdDHc116gz7jd2fBACeBgAA8Ia4\nIABgdUwDBHIvOpZ4qyYPs8m0Tg3e06nBey9s8sDUCBQDzjEAgJWqvsqjM11hHei/ltdNn5vXVapv\nXwsFngBKUu/lYSMb56WFKUW9l4d1ePt6I+tbUf9AzHSERfojMR3taDK2fmeb31JFnp1hv+kIAIAc\nuD06ZTrCkm6PTlHk+RSnw66+zhbt6Y0UtCGJv9qjvn0tTxqR0BQFAAAAeHOhtRU62tGkIztCuhqb\n0O3RKd0amVJ0PKHE3CPNpzIqc9rlda9SsNarpvrV2li3Wlv8VTRbA2Acn0IAALwlLggAWJVVp+5Z\nNRfwMql0Rr2Xh3X80l0l05mcHDMyHNfOE1fU3b5BXVsDTx6YMzUCxcCqn+VWzQUAKC01FW6dPRTO\n+fdDSXI57M99PwSAUhIdS+izS98azXD80l21h2qfa7q0Es3Mp3T++qjpGIucuz6qIztCxu5DhNZW\nKByotsR003CgmiahAFAibo6YaXCxnFsj1iw+Nammwq2T+1sLNkXTX+3Ryf2ti5o80RQFAAAAeHvl\nZU5ta1hDYxsARYUdmgAA5AgXBACshmmAQG48nJ7L26SmZDqjYxej+urrcfV1tqimYuEhPlMjYHWc\nYwAAK53TYdfh7evVHqp9q0nvT3vRpHcAKCU9F4b0KJ01miGZzqjnwpBOH2wzmsMKrsYmLHVdJ0mz\nybSuxiaMPmvp2dWonSeu5LSRw+tyOez69KNGY+sDAHIrOpYwHWFJ0XFr5jKtvsqjM13hvD0bemzz\nukr17WtZVOBJUxQAAAAAAFYu2kADAAAAJerxNEArYRogis3IxKz29Eby3jH5xv1J7emNaGRioSv0\n46kRVsDUCCyFcwwAAAuCPq9OH2zTL7rf197Wd+RxOV7r/R6XQ3tb39Evf/y+Th9sYwMlgJJ258G0\nJaYjSlJkOK5vxqZNxzDu9qg1p3eZzhX0edXdvsFohu72DWqo5XsBAJSKxFzKdIQlJeYemY5gWTUV\nbp09FNYnHwTlcuR2i6XLYdcnHwR19lB4UYGnZK2mKAAAAAAAoLAo8gQAAABKWGebtabvMQ0QxeTh\n9Jz2fj6oWHy2IOvF4rPa+/mgHk7PSVqYGpHrjQOvi6kReBnOMQAA/E5obYWOdjTpr/68XT//sz/U\nJx8E9ceNPv3g++X6/vdc8rqd+v73XPrB98v1x40+ffJBUD//sz/UX/15u452NNFUA8CK0D8QMx1h\nkf6ItfKYcHMkv02t3tStEfPFp11bA9q8rtLI2pvXVapra8DI2gCA/DA5Hfpl5lPWzGUVToddh7ev\n15cfv5ezxpzhQLW+/Pg9Hd6+Xs5nngHRFAUAAAAAgJWN8QYAAABACXs8DdAKDwSZBohikkpndKD/\nWsEKPB+LxWd1oP+azh4KP5kacexitKAZnsbUCLwM5xgAAJ5XXubUtoY12tawxnQUALCUmfmUzl8f\nNR1jkXPXR3VkR0jlZSv3kXl0LGE6wpKi4+ZzOR129XW2aE9vpKD3h/zVHvXta3mu6AMAUNxMN3R8\nkTKnNXNZTdDn1emDbbrzYFpfDMR07vqoZpPpV36/x+VQR3OdOsP+l97HtmJTlKMdTaZjAAAAAACw\nYnCnBgAAAChxTAMEXl/v5WHduG9mmsWN+5PqvTwsiakRsD7OMQAAAABexdXYxGtthC+E2WRaV2MT\npmMYlZhLmY6wpMTcI9MRJEk1FW6d3N8qf7WnIOv5qz06ub9VNV53QdYDABSO123NphJe9yrTEYpK\naG2FjnY06a/+vF0//7M/1CcfBPXHjT794Pvl+v73XPK6nfr+91z6wffL9ceNPn3yQVA//7M/1F/9\nebuOdjS9tMDTqk1RZuat+X0RAAAAAIBSZM07SAAAAAByhmmAwOuJjiX02aVvjWY4fumu2kO1Cvq8\nTI2ApXGOAQAAAPAqbo9OmY6wpNujUyt6+nIynTEdYUnzKevkqq/y6ExXWAf6r+W1IdjmdZXq29dC\ngScAlKigz6vvCniP/1UFua/6RsrLnNrWsCan3yOt3BRlJX9fBgAAAACgkNitCQAAAKwATAMEXl3P\nhSE9SmeNZkimM+q5MCSJqRGwPs4xAAAAAJZzcyR/xXFv49aINYtPC8Vl0eZOZU5r5aqpcOvsobA+\n+SCY878zl8OuTz4I6uyhMPdiAKCEbao3c/90OU31q01HwG9ZuSkKAAAAAAAoDCZ5AgAAACuA02Fn\nGiDwCu48mFZkOG46hiQpMhzXN2PTetdXwdQIWBrnGAAAgFczM5/S1diEbo9O6ebIpKJjCSXmUkqm\nM3I57PK6nQr6vNpUX6mNdau1xV+l8jIe5aE0RMcSpiMsKTpuzVyF4nU7FZ9Jmo7xHK97lekIz3E6\n7Dq8fb3aQ7XquTCUk/tH4UC1enY1KuhjihoAlLqNddYsprRqrpWIpigAAAAAAIAnwwAAAMAK8Xga\n4N7PBwtShMM0QBSj/oGY6QiL9EdiOtrRJOl3UyN6Lw/r+KW7SqYzOVvH5bCru32DurYGKJjDG+Ec\nAwAA8GJ3HkyrfyCm89dHNZtMv/DPxWeS+i4+q4tD45Ikj8uh3c116mzzK7S2olBxgbxIzKVMR1hS\nYu6R6QhGBX1efVfAZj2vKlhr3aLHoM+r0wfbdOfBtL4YiOncMp/tz/K4HOporlNn2K93fXy2A8BK\nscVfJY/L8VrnjHzzuBza4q8yHQO/RVMUAAAAAABAkScAAACwgjANEHixmfmUzl8fNR1jkXPXR3Vk\nR+jJ9B6mRsDKOMcAAAAsFh1LvNX39tlkWqcG7+nU4D2+t6Po5bJRUS7Np6yZq1A21Vc+KSy3kqZ6\n608VC62t0NGOJh3ZEXoypfnWyJSi4wkl5h5pPpVRmdMur3uVgrVeNdWvZkozAKxg5WVO7W6u06nB\ne6ajPNHRXMc5yUJoigIAAAAAALhTA1jUzHzqyQPBmyOTio4llJhLKZnOyOWwy+t2KujzalN9JQ8E\nAQDAa2EaILC0q7EJS3XRlhY2dV+NTWhbw5pFP2dqBKyKcwwAAICUSmdy/n0oMhzXzhNX+D6EouWy\n6O9smdOauQplY501iymtmmsp5WVObWtY89y9GwAAntXZ5rdUkWdn2G86Ap5CUxQAAAAAAEBFGGAx\ndx5Mq38gpvPLbNKOzyT1XXz2SXddj8uh3c116mzzK7SWTdoAAODlmAYIPO/26JTpCEu6PTr1wo2C\nTI2AFXGOAQAAK9nD6bm8TTZPpjM6djGqr74eV19ni2oqmGyO4uF1OxWfSZqO8Ryve5XpCEZt8VfJ\n43JYqumVx+XQFn+V6RgAAORcaG2FwoHqnNwvfVvhQDUNIC2GpigAAAAAAIAdnYBFRMcSb7X5dTaZ\n1qnBezo1eI/NrwAA4JUxDRD4nZsjud+EnQu3RpYvPmVqBKyIcwwAAFhpRiZmtffzQcXis3ld58b9\nSe3pjejk/lbVV3nyuhaQK0GfV9/l+b+NNxGsXdnP0srLnNrdXGepqWIdzXU0pgIAlKyeXY3aeeKK\n0amNLoddn37UaGx9LI2mKAAAAAAAgKcjgGGpdEa9l4d1/NLdnN3EjQzHtfPEFXW3b1DX1oCcFu32\nBgAArINpgMBC4xUrio5bMxfwqjjHAACAleDh9FxBCjwfi8UXCkrPdIWZ6ImisKm+UheHxk3HeE5T\n/WrTEYzrbPNbqsizM+w3HQEAgLwJ+rzqbt+gYxejxjJ0t29QwwpvdGFFNEUBAAAAAADslAMMejg9\npwP913Tjfu4nBiXTGR27GNVXX4+rr7OFTR4AAOCVMA0QK1liLmU6wpISc49MRwBygnMMAAAoVal0\nRgf6rxWswPOxWHxWB/qv6eyhMM0eYXkb66xZTGnVXIUUWluhcKBakeG46SgKB6r1rq/CdAyUiJn5\n1JNmUzdHJhUdSygxl1IynZHLYZfX7VTQ59Wm+kqaTQEoqK6tAX319Xhe9gotZ/O6SnVtDRR8XSyP\npigAAAAAAIA71IAhIxOzBenqfeP+pPb0RnRyf6vqqzx5XQsAAAAoZsl0xnSEJc2nrJkLAAAAwILe\ny8NGNmhLC88Aei8P6/D29UbWB17VFn+VPC6HZpNp01Ge8Lgc2uKvMh3DEnp2NWrniStG7424HHZ9\n+lGjsfVROu48mFb/QEznr4++9DMnPpPUd/HZJwU1HpdDu5vr1NnmV2gtxcYA8sfpsKuvs0V7eiMF\nbRTjr/aob18LDWIsyqrNR6yaCwAAAACAUkSRJ2DAw+m5ghR4PhaLLxSUnukKM9ETAAAAeAGXRTc2\nlDmtmQsAAACAFB1L6LNL3xrNcPzSXbWHahX0eY3mAF6mvMyp3c11OjV4z3SUJzqa65ja91tBn1fd\n7Rt07GLUWIbu9g1qqOVzDG8uOpZQz4WhN55KO5tM69TgPZ0avKdwoFo9uxo5twLIm5oKt07uby3Y\n3iF/tUcn97eqxsueIauiKQoAAACAfJqZT+lqbEK3R6d0c2RS0bGEEnMpJdMZuRx2ed1OBX1ebaqv\n1Ma61drir+L+OWAA/9UBBZZKZ3Sg/1pBu/FJC4WeB/qv6eyhMF35AAAAgCV43U7FZ5KmYzzH615l\nOgIAAACAF+i5MKRH6azRDMl0Rj0XhnT6YJvRHMByOtv8liry7Az7TUewlK6tAX319biRycSb11Wq\na2ug4OuiNKTSGfVeHtbxS3dzNo02MhzXzhNX1N2+QV1bAzxfB5AX9VUenekK60D/tbyefzevq1Tf\nvhYKPC2OpigAAAAA8uHOg2n1D8R0/vroS5vKxGeS+i4+q4tD45IWmr7sbq5TZ5tfobUVhYoLrHjc\niQYKrPfysJGHo5J04/6kei8PG1kbAAAAsDqrduYPMsUCAAAAsKQ7D6bfeFpYrkWG4/pmbNp0DOCl\nQmsrFA5Um44hSQoHqvWuj40pT3M67OrrbJG/2lPQdf3VHvXta6GIDm/k4fScfvjTiI5djOaswPOx\nZDqjYxej+uFPI3o4PZfTYwPAYzUVbp09FNYnHwTlyvG50OWw65MPgjp7KEyBZ5HobLNWExKaogAA\nAADFKzqW0I9+NqAPj/9apwbvvbTAcymzybRODd7Th8d/rR/9bEDRsUSekgJ4Gq2WgAKKjiX02aVv\njWY4fumu2kO1lt3ADgAAAJiyqb7ySTcyK2mqX206AgAAAIAl9A/ETEdYpD8S09GOJtMxgJfq2dWo\nnSeu5LwY63W4HHZ9+lGjsfWtrKbCrZP7W7X380HF4rN5X89f7dHJ/a0UnuCNjEzMFuR39cb9Se3p\njejk/lbVVxW2CBrAyuB02HV4+3q1h2rVc2EoJ41kwoFq9exqZG9QkXncFMUKzYRoigIAAAAUp1Q6\no97Lwzp+6W7O7sNHhuPaeeKKuts3qGtroCQa9s3Mp3Q1NqHbo1O6OTKp6FhCibmUkumMXA67vG6n\ngj6vNtVXamPdam3xV6m8jPI75B+/ZUAB9VwY0qN01miGZDqjngtDOn2wzWgOAAAAwGo21lmzmNKq\nuQAAAICVbGY+pfPXR03HWOTc9VEd2RHiITMsLejzqrt9g45djBrL0N2+QQ21FDy8SH2VR2e6wjrQ\nf0037k/mbZ3N6yrVt6+FAk+8kYfTcwUrRpakWHyhoPRMV1g1FfzOAsiPoM+r0wfbdOfBtL4YiOnc\n9dHXmrTicTnU0VynzrCf4rwiRlMUAAAAAG/q4fRc3u7rJtMZHbsY1Vdfj6uvs6Vo75HdeTCt/oGY\nzi9zzR2fSeq7+OyTgREel0O7m+vU2eZXaC3X3MgfnvICBXLnwbQlOq1JC90Uvhmb5qYuAAAA8JQt\n/ip5XI7X2jSRbx6XQ1v8VaZjAAAAAHjG1diEpa4dJGk2mdbV2IS2NawxHQV4qa6tAX319XheCwhf\nZPO6SnVtDRR83WJTU+HW2UPhnHd8lxaKBkqp4zsKL5XO6ED/tYIVeD4Wi8/qQP81nT0U5ncXQF6F\n1lboaEeTjuwIPZkqcmtkStHxhBJzjzSfyqjMaZfXvUrBWq+a6lczVaSE0BQFAAAAwJsYmZgtSFO0\nG/cntac3opP7W1Vf5cnrWrkUHUuo58LQG9fzzCbTOjV4T6cG7ykcqFbPrkYFfVw3Ife4swMUSP9A\nzHSERfojMR3taDIdAwAAALCM8jKndjfX6dTgPdNRnuhormNTBlDCZuZTTzZq3RyZVHQsocRcSsl0\nRi6HXV63U0GfV5vqK9moBQCAxdwenTIdYUm3R6co8oTlOR129XW2aE9vpKBFWv5qj/r2tVCc9Yqc\nDrsOb1+v9lDtW21+eRqbX5ALvZeHjRSJSwub2HovD+vw9vVG1gewspSXObWtYQ3f71cgmqIAAAAA\neB0Pp+cKUuD5WCy+UFB6pits+YmeqXQm580MI8Nx7TxxhWaGyAt2hQEFMDOf0vnro6ZjLHLu+qiO\n7AixORQAAAB4Smeb31JFnp1hv+kIAPLgzoNp9Q/Ed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jY2bzfaEFAFB42i526/q9QSNz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\nMbSJzcAAAEAvcUN0X5effVSOPmRup9OAEXVjF96P3rUxb33Jyhw4y61IgMm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Ms6RY7jqdEglzF3Tt8xnWrSpEkxffr0OOOMM+LRRx+N3Xbb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\nkMduUYKdh9jRpzJZONeHied+yYy+TLDyVJP63N5iCfYT2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maSwtwNPT3XefCepr2zaw9S+9VPI4LDpx4szMoqGyCvK067Bs3SpF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\nKnXfPsmxC1Cr1qVz4evf5MnO+/f2mZjo6Gin7y1JmmGWD2sYO+iiHR3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7q7tvOX5AmTYZ4wafNrk2uYpwJsoapOSXL3\nUdUHFjQ1TwXWzZ9Mytt52Gj8PMz757SxTwWQPG5SfvkOxhBPgXXzr5PyXZftWFUnJzl+VPW5Oc2s\n/QE299gkx43KZy1oJ54CLHZA1/Kz5Ps3jaq+rqrO2GrwqvqWJKdsNf5eJskTBq9PMn6Y/slVdcQW\nfR6djW//fM2u3xXAHtbdlyd566jqblV1/836VNWtMizSb/Th7l6rY9iBQ9/sLfJvTHL6qPpvknxv\nd1+7n8O/dvT5iCRPXqLPU0afr8swNwbYk2anKH/3qOriJH8/bTc7Ufl1o6oTk/zQFmMfkeRJo6pL\nkrx9xzcLsLeYpwJs7jlJalR+87xG5qnAGjo3yUWj8hOqqhY1HnnSpPzWaQP7VMC6m52ANH4488ps\nXL8vRTwF1tD7s/GB+AdX1a2X7PvYSflvpg2s/QEWq6pbJnneqOpvu/uceW3FU4DFDtJafvobw1OX\nuLWnTMprl6MlyROSdPdFSc4eVd05yTMWta+qE5K8aFT1+SQvOyA3B7C3PX9S/s2qOnJuy8EvZeMb\n7V6w+7cEcOBU1VdkWHh+26j6g0m+q7uv3IVL/E6GHxhv9HNVddom9/PYJA8eVZ3d3Z/ehfsAOKCq\n6qiqOn3rlhv7ZHgT/S1G1f97trkzzy9l4yb9i2a/Byzysxl+T7jRr+xC8j7AXmGeCqyFqjqyqr5h\nm32emI3J79dk8z0n81RgbXT3l7Px4c17JnnaZn2q6tuT/PCo6tIkv7+guX0qYJ19b5Jbjsr/p7uv\n2uFY4imwNmb7+u8YVR2d5Ne36ldVd0jyrEn1opOJrP0BJqrq6CR/kuTkWdX1SX58i27iKcBiB3ot\n/9okHxuVH19V37qocVXdN8njR1V/0d3v2+Iae44kT7jJc5OMf6x8QVU9bfom0Ko6Jcnbkpw0qv7F\n7v7CQbhHgD2lu9+V4TS7G52e5PVVdeK4XVV9RVW9IMmPjao/mORVB/4uAXbHbF55dpJHjKo/nuQ7\nuvvS3bjGbE46Xjwfm+RtVXX3OffzA0n+56jqqmx8YArg5uyYJB+oqldX1XfNkujnqsFDMrwN+WGj\nrz6XTeJed38yGx+uPzlDTD1lzvhPm4z1mSQvWfY/BmCvM08F1sixST5cVX9YVd85e/P7XFV1UlX9\nVpKzJl+9uLsvXNTPPBVYQ2clGb8R/teq6ulVdfi0YVV9X4YHPsd7/M9btJdvnwpYc4+blF++04HE\nU2ANTX+vfMzst4C5J3rO9qnOyXCK3I3e1N3vndfe2h9YJ7M9/6dX1UmbtLl/kvdk4wtCX9Dd/3ez\nscVTgMUO9Fp+9gK/Z4+qDkvyxqp6wLTtrO4Nuel33WnftVGLDyuA9TN7gOjV2bjp89Ekf5nk8iTf\nkOSRScYZ6n+a5Ps2OfkD4JBWVQ/MkNw+z3QD/ctz2nyyu++4yfhfnWEBfodR9ZVJXp/kk0m+JsnD\nk4wX1pckObO7z9/05gFuRqrq9hni2tgNSbY7j3xnd3/7JtepJK9L8j2T67w5yYcyvEn025J88+j7\nTvKD3f3abd4LwEpU1fEZTuK40VVJPpDkHzLMFa/OcGLnqUnOTHK7yRBXJHnoos3z0XWOzrDpfu9R\n9Zcy/Mj5sSS3SvKQJHcZfX9tkgd397u39R8FcIioqscn+V+jqid099lL9DNPBfa8OfPUKzLMUz8y\nq/9SkhMynER3n2zcb0qS1yR5dHffsMV1zFOBtVJVd87w8qbxaRsXJHlLhocuT0jyoCT3mHR9XZJH\nbbaXb58KWEezB+gvzE37/Z9Kcvv9efZJPAXWTVW9OMnPTKqvTvL2JB+eff6aJPfLvvPUz2SIf5/a\nZHxrf2AtVNX7MuwN3ZDht9QPJLk4w7P8Jyd5QJLTJt3OTvLEZeav4ilwKNsLz/BX1UuS/OSk+p1J\n/m72+ZuTPHDy/TO6+1eXGX+vkeQJE1X140l+PclRSzT/sySP6e4rD+xdAaxOVT0oww+QO3VBd5+6\nxTXukmGj/S6btZv5dIYHPP96P+4J4KCrqlOT/PMuDPXO7n7QFtf6yiR/mOEFJVu5NslPd/dLd+He\nAA6KOQ/Pb8d5GRKSPrjktU7KMFe9zxLNL0/y+O7+kx3eG8DN3k6TPGd9zVOBPW0/5qk3ZDjx+Be6\n+/olr2WeCqyVqrpPhhc2n7JV25mzk/xYd1+3xNj2qYC1UlXPSPLLo6oXdPezdmFc8RRYG7OX2j0/\nyTMznEq0rA9niH8fWeIa1v7AnjdK8lzGl5P8QpLnbecFJeIpcKjaC8/wV9URSV6a5ElLNL8hw28U\nz1l2/L1mOwsLWAvd/bIMp3z8eeZnsyfJJ5I8tbsfKcETYP9190czLNR/OcnnFzS7MsnvJbmnjR6A\nzXX3ld393UmekuTjC5p9OcmbMrxVyYPzwKHmC0l+NMmrMrzteCtfTvKOJD+SIe4tleCZJN19cZL7\nJ3lWhrfbz3Ntkj9Oci+bPQCLmacCa+CLGZI1351hjriVy5P8bpJ7dPdzlk3wTMxTgfXT3X+T5PQk\nv5HNE+rfk+SR3f2EZRI8Z2PbpwLWzeMm5VfsxqDiKbBOevDzSb41w9p7q7nn+UmenuSMZRI8Z9ew\n9gfWwasyJMBv5toMLxE9vbufu90T6MVTgMUO9Fq+u6/v7v+Y5AcynNa8yLlJHrrOCZ6JkzxhU1V1\ncoZF+G2THJMh8/yj3f2+ld4YwB5WVUdmWFCfmuTWGSaMn0pyTndftcJbAzhkVdUZGd609LVJrk5y\nUZJ3d/cyiVEAN3tVdbskd80whzwhyZEZfmC8LMOm+Xnd/cVduM5hSe6b5I5JTkpyRYa56rndvdOT\nRQHWlnkqsJfN3kx81ySnZdhnumWSwzMkdl6S5ENJPtzdN+zCtcxTgbUy2ku6fZLbJLkqycUZ4t6n\nd2nsU2OfCmDHxFNg3VTVMUnOSHLnDHtVR2X4DeDiJO/t7gv2c3xrf2BPq6oTk3xTkq9PcmKGw8wu\nS/KxDHtHuzKHFE8BFjsYa/mquluGl/ndNsMLoC9M8nfd/U+7Mf6hTpInAAAAAAAAAAAAAAAAAMAK\nHLbqGwAAAAAAAAAAAAAAAAAAWEeSPAEAAAAAAAAAAAAAAAAAVkCSJwAAAAAAAAAAAAAAAADACkjy\nBAAAAAAAAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAAAAArIMkTAAAAAAAAAAAAAAAAAGAFJHkCAAAA\nAAAAAAAAAAAAAKyAJE8AAAAAAAAAAAAAAAAAgBWQ5AkAAAAAAAAAAAAAAAAAsAKSPAEAAAAAAAAA\nAAAAAAAAVkCSJwAAAAAAAAAAAAAAAADACkjyBAAAAAAAAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAA\nAAArIMkTAAAAAAAAAAAAAAAAAGAFJHkCAAAAAAAAAAAAAAAAAKyAJE8AAAAAAAAAAAAAAAAAgBWQ\n5AkAAAAAAAAAAAAAAAAAsAKSPAEAAAAAAAAAAAAAAAAAVkCSJwAAAAAAAAAAAAAAAADACkjyBAAA\nAAAAAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAAAAArIMkTAAAAAAAAAAAAAAAAAGAFJHkCAAAAAAAA\nAAAAAAAAAKyAJE8AAAAAAAAAAAAAAAAAgBWQ5AkAAAAAAAAAAAAAAAAAsAKSPAEAAAAAAAAAAAAA\nAAAAVkCSJwAAAAAAAAAAAAAAAADACkjyBAAAAAAAAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAAAAAr\nIMkTAAAAAAAAAAAAAAAAAGAFJHkCAAAAAAAAAAAAAAAAAKyAJE8AAAAAAAAAAAAAAAAAgBWQ5AkA\nAAAAAAAAAAAAAAAAsAKSPAEAAAAAAAAAAAAAAAAAVkCSJwAAAAAAAAAAAAAAAADACkjyBAAAAAAA\nAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAAAAArIMkTAAAAAAAAAAAAAAAAAGAFJHkCAAAAAAAAAAAA\nAAAAAKyAJE8AAAAAAAAAAAAAAAAAgBWQ5AkAAAAAAAAAAAAAAAAAsAKSPAEAAAAAAAAAAAAAAAAA\nVkCSJwAAAAAAAAAAAAAAAADACkjyBAAAAAAAAAAAAAAAAABYAUmeAAAAAAAAAAAAAAAAAAArIMkT\nAAAAAAAAAAAAAAAAAGAF/j8bWGSXfQFG4wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + " \n", + " ##############################################\n", + " \n", + " fig1, ax = plt.subplots(figsize=(11,3), dpi=400)\n", + "\n", + " ax.scatter(x=list(range(0, 100)), y=np.random.random(100))\n", + " ax.set_xlim([0,100])\n", + " ax.set_ylim([0,2])\n", + "\n", + " # Create panel and track\n", + " panel = biograpy.Panel(fig1)\n", + " track = biograpy.tracks.BaseTrack()\n", + "\n", + " # Text sequence feature\n", + " track.add_feature(biograpy.features.TextSequence(\n", + " 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL',\n", + " start=10, name=\"TextSequence1\"))\n", + "\n", + " \"\"\"\n", + " Pretty text sequence feature allows to pass a text sequence together with a list of regions to highlight.\n", + " \n", + " There is one limitation to our text features, is that the font size is calculated when creating the\n", + " PrettyTextSequence object, based on the current axis. Therefore, we cannot re-use the PrettyTextSequence\n", + " in another Panel, for example. Possibly in another track with the same dimensions should be ok.\n", + " \"\"\"\n", + " \n", + " prettyTextFeat = biograpy.features.PrettyTextSequence(\n", + " 'KSKDFQVNAYDRNMKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY',\n", + " highlightList=[{'start':0, 'end':10, 'background_color':'red', 'background_color_alpha':0.4, 'weight':900},\n", + " {'start':20, 'end':25, 'foreground_color':'blue', 'weight':100}\n", + " ],\n", + " start=20, name='PrettyTextSequence1')\n", + " track.add_feature(prettyTextFeat)\n", + " \n", + "\n", + " \"\"\"\n", + " Alternativley, pretty text sequence feature can be passed a list of (char, propArgsDict), where propArgsDict defines\n", + " all the matplotlib text properties.\n", + " \"\"\"\n", + "# prettyTextFeat = biograpy.features.PrettyTextSequence(\n", + "# list('KSKDFQVNAYDRN') +\n", + "# [('A', {'fontproperties':FontProperties(**{'weight':'bold'}), 'size':20}),\n", + "# ('A', {})] + list('CGIALAVTE') +\n", + "# [(c, {'bbox':dict(facecolor='blue', alpha=0.4, edgecolor='none', pad=0.0)}) for c in list('ATGCATGC')] +\n", + "# list('KSKDFQVNAYDRN') +\n", + "# [(c, {'color':'red'}) for c in list('ATGCATGC')] +\n", + "# list('MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY'),\n", + "# start=25, name='PrettyTextSequence2')\n", + "# track.add_feature(prettyTextFeat)\n", + "\n", + " panel.add_track(track)\n", + " if savefig:\n", + " panel.save('biograpy_test2.png')\n", + "# panel.close()\n", + " else:\n", + " panel._draw_tracks()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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l5NfORMRMHU/grOzqOBL3/fnPJ0VRYcSxqTYbt/32zF8I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qbEk43qVE/357+zY1NiIJXqV/nU1NJ5zbs1VnA6DNXf47M6BgBkLW7xAQAA\nAADyViKR1E8+7NJzjQfVeuL8rDc+J7oVP9d4UD/9ebcSFk4NdM9xTVsMaSVTUlEhvY4yJTQwpO17\n2jN6sVeSRscS2r6nXaEBe19qAwAAAJA6NVVevfL0Gs1zF2RkvXnuAhqaAMDvxUbjsutsBkPSyFjc\n6hjII53BS9r2g4/SUlR4pe7eiLbtblVXTzit6wAAgMzp6Y/q1R9/rG+93KK9zWeuU1Q41URT4m+9\n3KJXf/yxevppsIHc4i0p0prl9ppGf+/ycgp5AWAWKCwEAAAAAOSl0MCQnn+tVW99cFrxRGpL8Ca6\nFT//WqtlRVW+xfbukHx7ubUTHfNFIpFUY9NxDcfGLVl/ODauxqbjlhbZAgAAAMismiqvdm2pU3Wl\nJ63rVFd6tGtLHUWFAPB7cZvvv4zH7Z0PuaOrJ6yX3jis4ZHMFLMOx8b14uttFBcCAJDlcrkpMZBq\nj6+vkctpj9Y2LqehJ+qXWh0DALIahYUAAAAAgLyTD92K/RXpvcA5W/6K+VZHyAv7DgbS/u/8erp7\nI3rv0FlLMwAAAADIrIqyYu18tk5PPXRnyi8ZuZyGnnroTu18tk4VZfZuqgMAmeRy2vsKUIHL3vmQ\nG0IDQ9q+p12jY4mMrjs6ltD2Pe2WNRoEAACzk+tNiYFUq1pUoo0P3mF1DEnSpoZlqryVPUIAmA2X\n1QEAAAAAAMikiW7FmbpYMNGt+JWn12R0ioI/zZMhZstfwUSJdOvpj6pp/xmrY0iS3m4+rVV3Lcqr\nDX3TNHUxHFMgFFEgFFHwwpBio3HFE0m5nA6557jkW1wsf4VH/kqPFnrcMgx7dHUEAAAAUsHpdOiR\ntdW6585b9e6BLrV19CmZNGVImskVvYmPdzoM3bu8XE/UL82r9xYAcKPcc1wz+v6aSaakokKuKCG9\nEomkGpuOazg2bsn6w7FxNTYd185n6+S0eaEvAAAzlcvnXp3BS/runva0TzueaEq8Y3NtRu8NAOny\n8P1+tZ+8YGmj4+pKjzbct8Sy9QEgV7BrBwAAAADIG1Z3K961JXPTFBZ63Cr1uDUYiWVkvRtlSFrg\ncavUU2R1lJz37oGulHfUvFnxhKl3Wjr1wpMrrY6SduHoiFqOBtV8JDjl6+/K41NT0rFT/Z//vtTj\nVsNqn+pX+eQt4esDAAAAuaNqUYleeHLl5dfKx4Jqbr/+a+UrLfC41VDrU/09vFYGgOn4FhdP2muw\nm9vLS6yOgBy372DA0kvN0uWCgfcOndUja6stzQEAQKrk+rlXvjQlBtLB6XRo68YV2ra7NePNPQxJ\nc90F2rpxBU09ACAFKCwEAAAAAOSFfOtWbBiGGlb7tLfZHhPrJpiSGmp9WdOhMluFoyNq6+izOsYk\nhzv6FI6O2PrwcDZ6+qOTprBczXRlnoORmPY2n1FTS6fWLC/X4+trVLWIC3cAAADIHd6SIj22bqke\nfaBGFyMxnQ1FFAh9qnN9UY2MxTUeT6rA5VBRoUu3l5fIXzFf/gqvSj1FvIcEgBvgr/BYHWFa/or5\nVkdADuvpj6ppvz32wt9uPq1Vdy1iwjIAIKvlw7lXPjUlBtKloqxYOzbX6sXX2zL6tVRY6NSOzbV8\nDQFAilBYCAAAAADIC/nYrbh+lU9NLZ3XPOyxgtNhqP4en9Uxcl7L0aCt/t4lKZE01XIsqMfWLbU6\nSkolEkntOxhQ0/4zKZkQmUyaaj1xXu0n+7SpYZk23LeELosAAADIKYZhqMw7V2Xeuaq9u9zqOACQ\nM/yVdi8sZCIL0ufdA10p2ZtLhXjC1DstnXrhyZVWRwEAYMby5dwr35oSA+lUU+XVK0+v0fY97Rn5\nmprnLtCOzbVM/QSAFOLVCAAAAAAg59mtW3HvJ0MZWctbUqQ1y+11SfPe5eU5O7HOLkzTVPORoNUx\npjAkNbcHZZr2uOCTCqGBIT3/Wqve+uB0yi8uxROm3nz/lJ5/rVWhgcx8zwAAAAAAANlrocetUo/b\n6hhTGJJKPW6VetgTRHqEoyNq6+izOsYkhzv6FI6OWB0DAIAZyadzLzs1JQZyQU2VV7u21Kk6zQ1v\nqis92rWljqJCAEgxCgsBAAAAADnPjt2KM+Xx9TVyOY2MrTcdl9PQE/W5Na3Oji5GYhqMxKyOMYUp\naTAS02AkNy7UdAYvadsPPkr7oWN3b0Tbdreqqyec1nUAAAAAAEB2MwxDDat9VseYwpTUUOuTYdhj\njxK5p+VoUMmkPfb/JySSplqO2a/5GwAA15JP51752pQYSLeKsmLtfLZOTz10Z8rvqLichp566E7t\nfLZOFWXFKX1uAACFhQAAAACAHJfv3YqrFpVo44N3ZGSt69nUsEyVt7LJm24Bi7trXk8glP0Fcl09\nYb30xmENj8Qzst5wbFwvvt5GcSEAAAAAAJhW/SqfHA57FfA5HYbq77FfwSNyg2maaj5ivwI+Q1Jz\ne1Cmaa+CRwAAribfzr3yuSkxkG5Op0OPrK3WD7ber7qv3fb5+9OZvkud+Hinw1Dd127T7r/+uh5Z\nWy2nk9IXAEgHvrsCAAAAAHIa3Yqlh+/3q7rSk7H1rqa60qMN9y2xNEO+CITsXlj4qdURZiU0MKTt\ne9o1OpbI6LqjYwlt39Ou0ABdSwEAAAAAwNV5S4q0Znm51TEmuXd5ubwlRVbHQI66GIlpMBKzOsYU\npqTBSEyDkcw0GAQA4Gbl27lXvjclBjKlalGJXnhypf7P39Trm9+4Qws87ikfY1zx64sWeNz65jfu\n0I/+pl4vPLmSBtYAkGYuqwMAAAAAAJAudu9W/OgDNTKM9HcQdzod2rpxhbbtbtVwbDzt613JkDTX\nXaCtG1fQPS5DghfsXXh2ri9qdYSblkgk1dh0PONfRxOGY+NqbDqunc/W8fWUR0zT1MVwTIFQRIFQ\nRMELQ4qNxhVPJOVyOuSe45JvcbH8FR75Kz1a6HFn5GcLAAAAAMCeHl9fo/aTfbaYwuJyGnqifqnV\nMZDDAr12b7IW1kLv1EvUAADYQT6ee9m5KfFj63jdjNzjLSnSY+uW6tEHanQxEtPZUESB0Kc61xfV\nyFhc4/GkClwOFRW6dHt5ifwV8+Wv8KrUU8R5JwBkEIWFAAAAAICclQ3dijN1qaCirFg7Ntfqxdfb\nMtpxsrDQqR2ba1VRRge5TImNxmXo8r8zuzEkjYzFrY5x0/YdDKjb4stK3b0RvXforB5ZW21pDqRf\nODqilqNBNR8JTvlZduUxminp2Kn+z39f6nGrYbVP9at8TIQAAAAAgDxUtahEGx+8Q299cNrqKNrU\nsIzJEkirQMjuhYWfqvZue00RBQBgQr6de9GUGLCOYRgq885VmXcur48BwIZobQ4AAAAAyFnZ0K04\nk2qqvHrl6TWa5y7IyHrz3AV65ek1qqnyZmQ9XBZPJK2OMK3xuL3zXUtPf1RN+89YHUOS9HbzafV+\nYu/JlLh5Pf1Rvfrjj/Wtl1u0t/nMVQvkzSt+fdFgJKa9zWf0rZdb9OqPP1ZPf/ZOCQUAAAAA3JyH\n7/erutJjaYbqSo823LfE0gzIfcEL9t4jO9fHvgwAwJ7y8dwrG5oSAwAAWIHCQgAAAABAzsqGbsWZ\nVlPl1a4tdWm/WFRd6dGuLXUUFVrA5bT3dk+By975ruXdA12KJ+wxBzKeMPVOS6fVMZBiiURSP/mw\nS881HlTrifNKJmf37y2ZNNV64ryeazyon/68WwmbFx0DAAAAAFLH6XRo68YVGWswdiVDlxuObd24\nQk6b71Mh+8VG47LrXB9D0shY3OoYAABcVT6ee9GUGAAA4OrYwQMAAAAA5Cy6FV9dRVmxdj5bp6ce\nulMuZ2qvXbichp566E7tfLZOFWXFKX1u3Bj3HNdVp5jZgSmpqNBldYwZC0dH1NbRZ3WMSQ539Ckc\npXNprggNDOn511r11genU36QH0+YevP9U3r+tVaFBuz9cxEAAAAAkDoVZcXasblWcwqdGV23sNCp\nHZtr2RtERsRt3khpPG7vfACA/JSv5140JQYAALg6CgsBAAAAADmLbsXX5nQ69Mjaav1g6/2q+9pt\ncjiMz3PNxMTHOx2G6r52m3b/9df1yNpqupFbyLfY3pe2bi8vsTrCjLUcDc56elyqJZKmWo4FrY6B\nFOgMXtK2H3yk7jR3yu3ujWjb7lZ19dDxFgAAAADyRU2VV688vSZjkwvnuQv0ytNrVFPlzch6gMvm\n+9AFLnvnAwDkp3w996IpMQAAwNWxewEAAAAAyFl0K76+qkUleuHJlfo/f1Ovb37jDi3wuKd8jHHF\nry9a4HHrm9+4Qz/6m3q98ORKVd5q76K2fOCv8FgdYVr+ivlWR5gR0zTVfMR+BXyGpOb2oEzTXge/\nmJmunrBeeuOwhkcyU2g+HBvXi6+3UVwIAAAAAHmkpsqrXVvqVF2Z3j2j6kqPdm2po6gQGeWe45Jd\nd8dMSUWFLqtjAAAwST6fe9GUGAAA4OrYvQAAAAAA5Cy6Fd84b0mRHlu3VI8+UKOLkZjOhiIKhD7V\nub6oRsbiGo8nVeByqKjQpdvLS+SvmC9/hVelniIZhl2PYPKTP82XxGbLX5Fdl8suRmIajMSsjjGF\nKWkwEtNgZEQLvVMLgmF/oYEhbd/TrtGxREbXHR1LaPuedu3aUqeKMorBAQAAACAfVJQVa+ezdXrv\n0Fm93Xxa8UTqLmy7nIY2NSzThvuWyGnz/VjkHt/iYh071W91jGu6vbzE6ggAAEySz+deNCUGAAC4\nOgoLAQAAAAA5i27FM2cYhsq8c1Xmnavau8utjoObsNDjVqnHbbtDQUOXJ1yWeoqsjjIjgd6I1RGm\nFQiFKSzMQolEUo1NxzUcG7dk/eHYuBqbjmvns3Vc+gQAAACAPOF0OvTI2mrdc+etevdAl9o6+pRM\nmjKkGe2hTny802Ho3uXleqJ+qSpvpXENrOGvsHuTtflWRwAAYJJ8PveiKTEAAMDV2e8GI4ApTNPU\nxXBMgVBEgVBEwQtDio3GFU8k5XI65J7jkm9xsfwVHvkrPVrocTMxBAAAABDdipGfDMNQw2qf9jaf\nsTrKJKakhlpf1r1fDYTsfsD6KUXAWWjfwYC6LT687+6N6L1DZ/XI2mpLcwAAAAAAMqtqUYleeHKl\nwtERtRwLqrk9OKVB1ZW7N18sOlzgcauh1qf6e3zylmRXAynkHn+l3QsLvVZHAABgknw+96IpMQAA\nwNXxKgSwsXB0RC1Hg2o+cv2N/CsvS5d63GpY7VP9KjbyAQAAkN/oVox8Vb/Kp6aWTiWT9jkeczoM\n1d/jszrGjAUvDFkdYVrn+qJWR8AM9fRH1bTfHoW/bzef1qq7FjFZAgAAAADykLekSI+tW6pHH6jR\nxUhMZ0MRBUKf6lxfVCNjcY3HkypwOVRU6NLt5SXyV8yXv8KrUk9R1jWOQu5a6HGr1OOecqfGaoYu\nF+GWerizAwCwl3w+96IpMQAAwNVRWAjYUE9/VO8e6FJbR981L4FOdzV0MBLT3uYzamrp1Jrl5Xp8\nfY2qFmXnmw6mNQIAAGA26FaMfOUtKdKa5eVqPXHe6iifu3d5eVY2v4mNxmVo+vfhVjEkjYzFrY6B\nGXr3QJfiCXv8i4onTL3T0qkXnlxpdRQAyGtX7oMf/dVFhS5+prFxU4mkKafD0NyisO76bZJ9cAAA\nkBaGYajMO1dl3rlpmw4DpIthGGpY7dPeZns0cZpgSmqo9fG6HQBgO/l87kVTYgAAgKujsBCwkUQi\nqX0HA2rafyYlF8ySSVOtJ86r/WSfNjUs04b7lsjpdKQgafoxrREAAACpQLdi5LPH19eo/WSfLQqY\nXE5DT9QvtTrGTYknklZHmNZ43N75MFk4OqK2jj6rY0xyuKNP4ehI3uyj0MQKgJ1Mtw8+2ahO9XR/\n/jv2wQEAAIA/qF/lU1NL5zUbd1vB6TBUf4/P6hgAAEyRz+deNCUGAAC4OgoLAZsIDQypsem4unsj\nKX/ueMLUm++f0uGOPm3duEIVZcUpXyNVmNYIAACAVKJbMfJZ1aISbXzwDr31wWmro2hTwzJV3mrf\n96LTcdm8QU+By975MFnL0aCtLrlJUiJpquVYUI+ty87i3xtFEysAdnIj++DTYR8cAAAA+ANvSZHW\nLC9X64nzVkf53L3Ly9lHAADYUj6fe9GUGAAA4Ors/QoRyBOdwUva9oOP0lJUeKXu3oi27W5VV084\nrevcjEQiqZ982KXnGg+q9cT5WV+ym5jW+FzjQf30591K2LzTDgAAANKnfpVPDoe9CvjoVoxMefh+\nv6ot7r5ZXenRhvuWWJphNtxzXNM2uLGSKamokL5h2cI0TTUfCVodYwpDUnN7UKZp13/ps9PTH9Wr\nP/5Y33q5RXubz1z1woB5xa8vmije+dbLLXr1xx+rpz+a7sgAchj74AAAAEB6PL6+Ri6nPc4BXE5D\nT9TndgMnAED2yudzr4mmxHZDU2IAAGA1bh4BFuvqCeulNw5rdCyRkfWGY+N68fU2vfL0GtVU2WN0\nOtMaAQAAkE50K0Y+czod2rpxhbbtbtVwbDyjaxuS5roLtHXjCjlt3v10Or7FxZOml9nN7eVMJ8oW\nFyMx23XBlS4fWA9GYhqMjGih1211nJRJJJLadzCgpv1nFE/M/prERPFO+8k+bWpYpg33Lcnq720A\nMo99cAAAACB9qhaVaOODd+itD05bHUWbGpap8lb7viY3TVMXwzEFQhEFQhEFLwwpNhpXPJGUy+mQ\ne45LvsXF8ld45K/0aKHHTaEDAOSQfD/3ql/lU1NL56wbfqUSTYkBAIDVKCwELBQaGNL2Pe0ZKyqc\nMDqW0PY97dq1pc7yCwadwUv67p52DY/E07rOxLTGHZtrbVNQCQAAgMx5fH2N2k/2paSwYLboVoxM\nqygr1o7NtXrx9baMvv8sLHRqx+Zay993zpa/wtqJj9fjr5hvdYSsdeUlqqO/uqjQxc80Nm4qkTTl\ndBiaWxTWXb9NpuwSVSANhSSpFAiFc6awkOIdAHbDPjgAAACQfg/f71f7yQtp2Q+4UdWVHm24b4ll\n608nHB1Ry9Ggmo8EpzS/unLHy5QmFZyUetxqWO1T/SofDRMBIAfk+7kXTYkBAACmorAQsEgikVRj\n0/GMT4yYMBwbV2PTce18ts6y7upMawQAAECm0K0Y+a6myqtXnl6j7XvaM/I+dJ67IGcutPsr7X7A\nmv3/jzNtuktUk43qVE/357+b7SWqQMjuhYWfqvbucqtjzBrFOwDshn1wrjvCBgAAIABJREFUAAAA\nIDOcToe2blyhbbtbM34Xx5A0112grRtXWHYH51p6+qN690CX2jr6rjmdabqWjIORmPY2n1FTS6fW\nLC/X4+trVLUovdOkAADpw7kXTYkBAAC+yF47GUAe2XcwYGmXNOnyBaj3Dp21ZG2rpzWGBoYyui4A\nAACs9/D9flVbfFBi527FyH01VV7t2lKX9q+D6kqPdm2py5mL7As9bpV67DfFzdDlQrdSDx1Mb1RP\nf1Sv/vhjfevlFu1tPnOdosKpJi5RfevlFr3644/V0x+d0ecHL9h7L+Jc38z+PHY0UbyT7qLCCRPF\nO1094YysByD7sA8OAAAAZFZFWbF2bK7VnEJnRtctLHRqx+ZaVZTZp6lgIpHUTz7s0nONB9V64vw1\niwpvVDJpqvXEeT3XeFA//Xm3EolkipICADKJc68/NCW2A5oSAwAAO6CwELBAT39UTfvPWB1DkvR2\n82n1fpLZywV2mdbIJicAAEB+mehWPM9dkPG1DV2e4GbHbsXILxVlxdr5bJ2eeuhOuZxGSp/b5TT0\n1EN3auezdba6QDNbhmGoYbXP6hhTmJIaan0yjNT+PeYiu1yiio3GZde/LUPSyFhmivHSheIdAHbD\nPjgAAABgjZoqr155ek3GzgLmuQtsNzE8NDCk519r1VsfnE75NKZ4wtSb75/S86+1sh8CAFmIc6/L\naEoMAADwB87vfe9737M6BHLb4OCgxscnH5wXFhaqtLTUokTW+9/vndS5C/boAp80pejwmNZ8tTxj\na/7Lf3TrP/4zlLH1ruZSdERzCl26848WWJoDsALflwEAdmHFz6SSeXO03F+qQ78MKZHiw/TpzCl0\n6vv/8179Ufn8jK0JXIvDYejOP1qge+9erKHPxhUa+J1MUzMueJr4eKfD0J9+9Ta98ORK1d69WA5H\neg/8TNPUxXBMv+q+qP/4z179349+q/1Hgtp/JKj/+M+QDndcULA/quHYuOYUOjW3yDXrQ8jbFt6i\nf2v9rczMfdu4LqfD0F9v/BO557isjmJroYEh7fjhUf3Hf4Y0y3rCKZKm9Kvui/rPMwO668sLVDJv\nzrQfv/9IcMZTEjPFkPSlkiKtX2W/ywQ3IpFIascPj6r/vz6zZP3xeFJdPWGt+3+q0v49EED2YB8c\nAJDtOE8CkM0WzHdr9VcWqasnrEvRkbStU13p0Xf/x2pb7f13Bi/pxX9oU/+l9O6TXIqO6ODxkJb7\nS7VgfnonX/EzCQBSy47nXoYun30dONaT1jO/CQ6Hobu+vEAHj4c0Hs9sY66JpsTf/R+r5SlO/4RG\nAEBu4n2S/WXT3xE3j4AMC0dH1NbRZ3WMSQ539CkcHZG3JP1vUuw2rXHVXYsYJQ8AAJBnJroVb9/T\nnpHpIfPcBdqxudZW3YoBSapaVKIXnlypcHRELceCam6fWvR05dHcF88WF3jcaqj1qf4eX0beT4aj\nI2o5GlTzVYqzvpjz2Kn+z39f6nGrYbVP9atuPqe3pEhrlper9cT5m/r8dLh3eXlG/r9ns87gJX13\nT7uGR9I7ia+7N6Jtu1uv+73eZfOJtQUue+ebzr6DAXX3RizN0N0b0XuHzuqRtdWW5gBgD+yDAwAA\nANarKCvWzmfr9N6hs3q7ObWT+1xOQ5salmnDfUvktNGeT1dPWC+9cVijY4mMrDccG9eLr7fZbmIj\nAGB6djz3MiX9suti2s/8rlRRVqwdm2v14uttGfvZKUmFhU7t2FyrijL26wAAgD0wsRBpl02Vtpnw\nfz86q191D1odYxLTlObNLdBXvpz+v5N8n9YI2AHflwEAdmHlz6R87lYMfJF7jktf+XKp/vt/+7LW\n3VOlr3x5gRaX3qJ5RQVaML9IXyop0uLSefItKtGar5brv/+3L+v/+3+/oifql+orS0rTPjGvpz+q\n//3eSb32kxP6VfegPpthkdhnI3F1BAb1b62/Ve8nQ6q89RbNv2X6yXJXU3nrLWo5Gkz51Lub4XIa\neuHJlTf158gXE5eoYqOZOQgejyd16Jchfa1m4TU7tB/uuKDzF3+XkTw3w7eoRPetqLA6xoz19Ee1\nc+/Htvja/M1vB7VmeTlfmwDYBwcA5ATOkwDkAofD0J1/tED33r1YQ5+NKzTwO5nm5EZlN2Li450O\nQ3/61dv0wpMrVXv3YjkcqZmalAqhgSF95x/aFBtNb5OtL0okTLV19Gn1VxapZF569kT4mQQAqWen\nc68blaozvystmO/W12oWqq2jLyOTC+e5C/T9/3kvBfkAgFnjfZL9ZdPfERMLgQwyTVPNR4JWx5jC\nkNTcHtSjD9SkbFT81eT7tEYAAADYSz52KwamYxiGyrxzVeadq9q7rb94nkgkte9gQE37z6Tk6zOZ\nNNV64rzaT/bd1Ndn1aISbXzwDr31welZZ5mtTQ3LmDo0jdDAkLbvac9od1lJGh1LaPuedu3aUnfV\nLrO+xcWTOuvaze3lJVZHuCnvHuhK6c/w2YgnTL3T0qkXnlxpdRQAFmIfHAAAALCfqkUleuHJlQpH\nR9RyLKjm9qAGI7FJH/PFCUlXWuBxq6HWp/p7UjMhKdUSiaQam45rODZ+/Q9Og+HYuBqbjmvns3Wc\niQBAlrDTuddMzfbM74tqqrzataVOjU3H1d0bSWHSyaorPdq6cQWTCgEAgO1QWAhk0MVIbMrGpB2Y\nkgYjMQ1GRrTQe/Wu+qnQcjSopM1a3CSSpl7d+7HmzilQbDSueCIpl9Mh9xyXfIuL5a/wyF/p0UKP\nO61FlwAAALCG0+nQI2urdc+dt+rdA11q6+hTMmnK0NSLA9OZ+Hinw9C9y8v1RP1Sin6AWQgNDKXt\n8C6eMPXm+6d0uKNvxod3D9/vV/vJC2k9VLye6kqPNty3xLL17c7Ol6j8FR5LMt0of0X2TdeleAeA\nHdl1H7zlWFCPrVtqdRQAAADAUt6SIj22bqkefaBGFyMxnQ1FFAh9qnN9UY2MxTUeT6rA5VBRoUu3\nl5fIXzFf/gqvSj1Ftr4zsu9gwNI9S0nq7o3ovUNn9cjaaktzAABunB3OvWZjNmd+X0RTYgAAkM8o\nLAQyKGDzN2CBUDhthYV2ndYoSb8++1+Spnafu3KKQKnHrYbVPtWvsmf3OQAAAMxOrncrBrJJZ/CS\nvrunXcMj8bSu090b0bbdrdqxuVY1Vd4b+hyn06GtG1do2+7WjBeuGZLmugu0deMKDh2nYedLVP5K\nuxcW3tjXgZ1QvAPAbuy6D25Iam4P6tEHamx9GRoAAADIFMMwVOadqzLvXNXeXW51nFnp6Y+qaf8Z\nq2NIkt5uPq1Vdy2i8SIAZAkrz71S6WbO/K6GpsQAACBfUVgIZFAgZPfCwk/TtmFq12mNV5ruzd9g\nJKa9zWfU1NKpNcvL9fj6GlUtKslYNgAAAGRGrnYrBrJFV09YL71xWKNjiYysNxwb14uvt+mVp9fc\n8EFjRVmxdmyu1Yuvt2UspyQVFjq1Y3PtrLqt5jq7X6Ja6HGr1OO23f6IocsF8qWe7CqMp3gHgB3Z\ndR/c1OU97sHISNqaCwIAAACwxrsHulI6VWk24glT77R06oUnV1odBQBwg6w690q1mznzu5YbaUo8\nHZoSAwCAbENhIZBBwQtDVkeY1rm+aNqe2+7TGm9UMmmq9cR5tZ/sYzw9AABADsulbsVAtggNDGn7\nnvaMH1qOjiW0fU+7dm2pu+GivZoqr155eo2272nPSAfXee6CWXdZzQd2v0RlGIYaVvu0t9kexY8T\nTEkNtb6sK4KjeAeAHdl9HzwQCvO9CQAAAMgh4eiI2jr6rI4xyeGOPoWjIxRSAEAWyfS5V7rczJnf\ndK7WlPjoibPqvfiZxuKmEglTTqehuXNc+krNbTQlBgAAWYvCQiCDYqPxGY9FzxRD0shYPG3Pb/dp\njTMVT5h68/1TOtzRp60bVzAxAgAAAABmIZFIqrHpuGWHlcOxcTU2HdfOZ+tuuHlMTZVXu7bUqbHp\nuLrTWERQXenhfecNyJZLVPWrfGpq6VQyaZ/dIafDUP09PqtjzBjFOwDsyO774IHQpzROAQAAGWGa\npi6GYwqEIgqEIgpeGFJsNK54IimX0yH3HJd8i4vlr/DIX+nRQo+by9fATWg5GrTVPpMkJZKmWo4F\n9di6pVZHAQDMQKbOvdLtZs78rufKpsTegqiGh4cn/fd58+bpjjvuSMlaAAAAVqCwEMigeCJpdYRp\njcfTl8/u0xpvVndvRNt2tzI5AgAAAABmYd/BgOWHlN29Eb136KweWVt9w59TUVasnc/W6b1DZ/V2\n8+mUTstzOQ1talimDfctSdnBZy7LlktU3pIirVlertYT5y1MNtm9y8uzsoM8xTsA7Mju++Dn+qJW\nRwAAADkuHB1Ry9Ggmo8Ep0yZv7Js0JR07FT/578v9bjVsNqn+lW+rHyPCljBNE01HwlaHWMKQ1Jz\ne1CPPlBDwTAAZJl0nntl0s2c+QEAAOQzbiUBGeSy+UXAAlf68k1Ma8xFw7Fxvfh6m7p6wlZHAQAA\nAICs09MfVdP+M1bHkCS93XxavZ/MrCDA6XTokbXV+sHW+1X3tdvkcFx+9zvT98ATH+90GKr72m3a\n/ddf1yNrqykqvAF2v0RlmpMP3h9fXyOX0x67JC6noSfqs7N7PMU7AOzIzvvghqSRsbjVMQAAQI7q\n6Y/q1R9/rG+93KK9zWemFBVKl4sJJ3590WAkpr3NZ/Stl1v06o8/Vk8/76mA67kYiV31a81qpi5/\nTQ9GRqyOAgC4Cak697LazZz5AQAA5CsmFgIZ5J7juuomuR2YkooK0/ctwe7TGmdrdCyh7XvatWtL\nnSrKiq2OAwAAAABZ490DXbbpeBpPmHqnpVMvPLlyxp9btahELzy58nJn/mNBNbdfvzP/lRZ43Gqo\n9an+Hjrzz1Q2XKJa6HV//njVohJtfPAOvfXBaevC/d6mhmWqvDU79zEminfs8d1jMop3gPxl933w\n8bi98wEAgOyTSCS172BATfvPpGR/J5k01XrivNpP9mlTwzJtuG8JTZeAawj0RqyOMK1AKDxpT2ym\nTNPUxXBMgVBER391UaGLn2ls3FQiacrpMDS3KKy7fpuUv8Ijf6VHCz1uJiQCQArN9tzLarM58wMA\nAMg3FBYCGeRbXKxjp/qtjnFNt5eXpO257T6tMRWGY+NqbDqunc/WcbgBAAAAADcgHB1RW0ef1TEm\nOdzRp3B05KaL+7wlRXps3VI9+kCNLkZiOhuKKBD6VOf6ohoZi2s8nlSBy6GiQpduLy+Rv2K+/BVe\nlXqKuPhyk7LxEtXD9/vVfvKCui3MXl3p0Yb7lli2/mxRvAPAjuy+D17gsnc+AACQXUIDQ2psOp6W\n97bxhKk33z+lwx192rpxBc19gasIhOy+J/apau8un/HnhaMjajkaVPORqQUsk43qVE/3578r9bjV\nsNqn+lU0bgOAVLrRcy+Hw9Cvui/KtFGF4WzP/AAAAPIFhYVABvkrPFZHmJa/Yn7antvO0xpTqbs3\novcOndUja6utjgIAAAAAttdyNKhk0l7vFhNJUy3Hgnps3dJZPY9hGCrzzlWZd+5NXaDBjcvGS1RO\np0NbN67Qtt2tGo6NZzSPIWmuu0BbN67I6sZIFO8AsCM774ObkooKORYEAACp0Rm8pO/uadfwSHqn\ntXf3RrRtd6t2bK5VTZU3rWsB2SZ4YcjqCNM61xed0cf39Ef17oEutXX03dSe8WAkpr3NZ9TU0qk1\ny8v1+PoaVS1KX4N1AMg31zv3+qcDnTrRddGCZNeWqjM/AACAXMftBiCD/JV2LyxM30a8b3H+dBB8\nu/m0ej+x9wYuAAAAAFjNNE01HwlaHWMKQ1Jze1CmnVqqYlrZeomqoqxYOzbXak6hM6N5Cgud2rG5\nNuunPVC8A8CO7L4Pfns5l2oBAMDsdfWE9dIbh9NeVDhhODauF19vU1dPOCPrAdkiNhqXYXWIazAk\njYzd2PeIRCKpn3zYpecaD6r1xPlZN6JLJk21njiv5xoP6qc/71YikZzV8wEAro8zPwAAgOxGYSGQ\nQQs9bpV63FbHmMKQVOpxq9STvpHvdp/WmErxhKl3WjqtjgEAAAAAtnYxEtNgJGZ1jClMXe5uPRgZ\nsToKblA2X6KqqfLqlafXaJ67ICN55rkL9MrTa3JiygPFOwDsyO774P6K+VZHAAAAWS40MKTte9o1\nOpbI6LqjYwlt39Ou0IC9mwsBmRS3ecHcePz6+UIDQ3r+tVa99cFpxROpLfqIJ0y9+f4pPf9aK987\nACDNOPMDAADIbhQWAhlkGIYaVvusjjGFKamh1ifDSN81PLtPa0y1wx19Ckd5QwoAAAAA1xLojVgd\nYVqBEF3ws0W2X6KqqfJq15Y6Vad576S60qNdW+pyoqhQongHgD3ZfR/cX5EbPwMAAIA1EomkGpuO\nazg2bsn6w7FxNTYdZ/oY8Hsup72v/RW4ps/XGbykbT/4SN1p3ifu7o1o2+5Wpp4CQBpx5gcAAJDd\n7L3DAOSg+lU+ORz26qPvdBiqvye9BY92ndaYLomkqZZjQatjAAAAAIBtBUJ2P2T81OoIuEHZfolK\nkirKirXz2To99dCdcjlTu2/kchp66qE7tfPZOlWU2XvK30xQvAPAjuy6D25IKvW4VeopsjoKAADI\nYvsOBtJeAHQ93b0RvXforKUZALtwz3EptTP+UseUVFTouuZ/7+oJ66U3Dmt4JJ6RPMOxcb34ehvF\nhQCQJpz5AQAAZDd737oBcpC3pEhrlpdbHWOSe5eXy1uS3gsFdp3WmC6GpOb2oEzTrtu4AAAAAGCt\n4IUhqyNM61xf1OoIuEHZfInqSk6nQ4+srdYPtt6vuq/d9nljqpmWGU58vNNhqO5rt2n3X39dj6yt\nltPmBZgzRfEOADuy6z64Kamh1ifDsFfTQwAAkD16+qNq2n/G6hiSpLebT6v3E3vvKwGZ4Fts7wZS\nt5eXXPXx0MCQtu9p1+hYIqN5RscS2r6nXaEBvn8AQKpx5gcAAJDdbuxWC4CUenx9jdpP9imesP7a\nm8tp6In6pRlZq36VT00tnUomrf9zp5spaTAS02BkRAu99rvkBgC5zjRNXQzHFAhFFAhFFLwwpNho\nXPFEUi6nQ+45LvkWF8tf4ZG/0qOFHjeX6wAAyLDYaFyGZMuCMEPSyFhmumVj9nyLi3XsVL/VMa7p\nWpeorqVqUYleeHKlwtERtRwLqrk9qMFIbNLHXPnK9YtfQws8bjXU+lR/jy/tjaSsNFG8s7fZHhdb\nJ1C8A8CO++BOh6H6e+xX8AgAALLHuwe6bHG/QZLiCVPvtHTqhSdXWh0FsJS/wmN1hGn5K+ZPeSyR\nSKqx6biGY+MWJLo8ubCx6bh2PluXc024AMBKnPkBAABkNwoLAQtULSrRxgfv0FsfnLY6ijY1LFPl\nrZnpYjYxrbH1xPmMrGcHgVCYwkIAyKBwdEQtR4NqPnL9y9dXXj4v9bjVsNqn+lW5ffkaAAA7iSeS\nVkeY1njc3vnwB9l4iepGeEuK9Ni6pXr0gRpdjMR0NhRRIPSpzvVFNTIW13g8qQKXQ0WFLt1eXiJ/\nxXz5K7wq9RTlTVEbxTsA7MiO++D3Li9nvwMAANy0cHREbR19VseY5HBHn8LREV7jIK/5K+2+J+ad\n8ti+gwF190YsSPMH3b0RvXforB5ZW21pDgDIJZz5AQAAZDcKCwGLPHy/X+0nL1i6YVZd6dGG+5Zk\ndE07TWvMhEDoU9XeXW51DADIeT39Ub17oEttHX3XvFQ83U+ewUhMe5vPqKmlU2uWl+vx9TWqWjSz\nyTIAAGCq6aYI9/QP2bJz6YQCFx2rs0U2XqKaCcMwVOadqzLvXPYYvoDiHQB2Zad9cJfT0BP1S62O\nAQAAsljL0aCtGrpIUiJpquVYUI+t43UO8tdCj1ulHveUZqtWMyQt8LhV6pm8P9LTH1XT/jPWhPqC\nt5tPa9VdizLWiB0Acp3L5lNgOfMDAACYHq+WAIs4nQ5t3bhC89wFGV/bkDTPXaCtG1fImeE3dRPT\nGvPFub6o1REAIKclEkn95MMuPdd4UK0nzs/6YDuZNNV64ryeazyon/68Wwmbd1UDAMCuwtER/dOB\nTn37+wf0l//rgP7uzV/oJx9269ipfv367KDOnLuk4ZFxq2NekympqJB+XNli4hKV3Ri6PBn7i5eo\nkFqPr6+Ry2mPCY0U7wCYYKd98E0Ny7gsCwAAbpppmmo+ErQ6xhSGpOb2oEzTXgWPQCYZhqGG1T6r\nY0xhSmqo9ckwJu/XvHugyxbNVyQpnjD1Tkun1TEAIGe457hs20yUMz8AAIDro7AQsFBFWbF2bK7V\nnEJnRtctLHRqx+ZaVZRZc5ng4fv9qrb5NIFUMCSNjMWtjgEAOSs0MKTnX2vVWx+cTvkhVDxh6s33\nT+n511oVGhhK6XMDAJDLevqjevXHH+tbL7dob/OZq3bLNjX9JGG7uL2c6cXZItsuUSG1KN4BYFd2\n2AevrvRow31LLM0AAACy28VIzHbT0KTL77kHIzENRkasjgJYqn6VTw6HvfaenA5D9fdM3qsLR0fU\n1tFnUaKrO9zRp3CU7yEAkAq+xfbeF+fMDwAAYHq0YQAsVlPl1StPr9H2Pe0ajqV/WsM8d4F2bK5V\nTZU37Wtdy8S0xm27WzPyZ7bSeJxJVwCQDp3BS/runnYNj6S3gLu7N6Jtu1st/9kJAIDdJRJJ7TsY\nUNP+M7bpOj1b/or5VkfADNSv8qmppXPWE6xT6WqXqJAeD9/vV/vJC+rujViWgeIdAF9k5T64IWmu\nu0BbN66Q00mPUQAAcPMCFr7PuhGBUFgLvW6rYwCW8ZYUac3ycrWeOG91lM/du7xc3pKiSY+1HA3a\nat9OkhJJUy3Hgnps3VKrowBA1vNX2HvIBGd+AIDrMU1TF8MxBUIRBUIRBS8MKTYaVzyRlMvpkHuO\nS77FxfJXeOSv9Gihx02DYeQUCgsBG6ip8mrXljo1Nh1P6wWo6kqPtm5cYdmkwitNTGt88fU2jY4l\nrI6TNgUuLm0A/z979x/dxHnni/89GslYNhYS2MY4skWKbAwpTkJYiPH6QiA4TrPbLFkawIRNmuTQ\ny9lCt5SyJ2RLd2Gb2w1ZepLcbVLfdnch4HKbLmm//YY1JtlCXCwgXELtArYRKTJCEOMgIWMk25Lm\n/sE1wci/LWkeSe/XOZwTD/LMh4Bnnnme5/P5EEVaS6sbL79dH7PnR6evB5vfOoJX1pYyuZCIiKgf\nzraOqL/PqsFq5nM/nsTLJiqKDibvEJGo1JoHT0mRsXVNiRBrAURERBTf7E6x53vszusomZWrdhhE\nqlqxpBC2RpcQBd+0soSV5X0T9RRFQc1Rh0oRDUwCUGNz4OnFhdwQTEQ0RtY80RMLueZHRET9c3v9\nqD3mQM1RB9o9vj6/d+dbggLg+Jkrt7/ONOpR8bAF5fMs3BNACYE7HYgEYc7OwPZ1ZXj2iZnQypGd\nsNLKEp59Yia2rysTaiNBb7fGdL1O7VCiQgGQmsL8bSKiSHK2dWBLlS3mSeld3UFsqbLB2dYR0+sS\nERGJrtlxDRtf/yihkgol3JoEzjRy8jferFhSGPE5ldHqbxMVRVdv8s64FDmm12XyDhENJdbz4Ol6\nHYsjERERUcQ4Lou9LnLB5VU7BCLV5ecYUPlYkdphAABWVcxA3uS+cyRXPb6wDboiUAC0e3xo9/jV\nDoWIKO5lGfXINIrXRZprfkRENJDWK168+s4JPLetFrtrmvp9Z1Hu+HW3do8Pu2ua8Ny2Wrz6zgm0\nXuH8BMU3ZrwQCUSWNVi2qABzZ07G3oMtONLgQiikQEL/D6WB9H5e1kiYX5yLleXTwybuRBGrbo1q\nmZprUDsEIqKEEQyGsKP6ZMw7kPTq9PVgR/VJbF9Xxk4kREREiH0X4VhRAIxLkfHyW/UIBEPQyhro\nx2lhmZIBq9kIa54RWUY9q1gLqHcT1a79Z9UOpd9NVBR9vck7W6psMXlvSNfrsHVNCZN3iGhIsZoH\nL8gzYkPl7KRPdlYUBVfdPtidHtidHjgud8DXFeDYjoiIaBR8XYER71eIFQmAvzugdhhEQnhqoRW2\nxsuq7rspyDNi6YJpYcftgu8FsjvdyDKJlwxDRBRPJElCxcMW7K5pUjuUPhQAFSUWzvsQEdFtwWAI\n+w7ZUX2gKSJd30MhBXWnLsHW6MKqihlYumAa95ZSXGJiIZGA8nMM2LR6zq32uscdqLEN3V73TpOM\nelSUWFA+Nz7a6/Z2a3zv8HnsqTkbkQe1KKzmCWqHQESUMPYdsquehH7uogfvHT6PZYsKVI2DiIhI\nbWp1EY6VS2034Gq7cftrBcDxM1duf51p1KPiYQvK58XHe3cyEXkTFcUGk3eISFTRnAfXyhIXrIFb\nayrHHKg5OvSaCsd2REREwxMIhtQOYVA9AbHjI4oVWdZgQ+VsbHyjLuZFWiUAaXodNlTO7vd9xO4U\nPbHwOkpm5aodBhFR3CufZ0F1bTNCIXH2fsoaCeVzLWqHQUREgnC2dURtDTkQVLDz/TOob3BxDZni\nEhMLiQRmMqRi+aPT8fTiQlz1+HDe6YHdeR0XXF74uwPoCYSg02qQmqLF1FwDrOYJsJpNyDSmxl2V\nlUh1axSN1cyK9UREkdB6xYvqA2JUNttTcxbz7sthBxoiIkpaancRjpXB3kXbPT7srmlCdW0zSotz\nsWJJIfJz2LFeBCJvoqLYYfIOEYkqUvPgvZ+XNRLmF+diZfn0pJ6naL3i7fP/sz8c2xEREY2OVvD3\nHp1W7PiIYsmcnYGta0qw+a0jMS0Il5IiY+uakgE3zjoud8QsltG44PKqHQIRUUIwGVJRWpyLulOX\n1A7ltvnFuSwiRUREAIBmxzV8v8qGTn8gqtc5d9GDjW/UYeuaEhTmM4eA4gcTC4nigCRJyDalIduU\nlvBVssbarVEUEm51jsw08sWUiCgS9h5sEaajbSCo4Oe1zdi0eo5hIETBAAAgAElEQVTaoRAREalC\nhC7CogiFFNSdugRbo4uJRgIRdRMVxRaTd4hIZMOZBx/MJKMeFSUWlM9N7g57wWAI+w7ZUX2gKSLz\nRhzbERERhdOP0wq7Jq8ASE3htieiOxXmm/DK2lJsqbLFpOhWul435IZZX1dA2KLiEgB/d3Q3FhMR\nJZMVSwpha3QJsb9HK0tYWT5d7TCIiEgALa1uvPx2fcz2DnT6erD5rSN4ZW0pkwspbnCGjYiENJJu\njTf9PfjDp5+rHXIfCoCKEkvcdY4kIhKR2+vHkQaX2mH0Ud/ggtvrT+rNe0RElJxE6iIskkBQwc73\nz6C+wYUNlbOZWCYAETdRkTrGWsSKyTtEFE39zYMfO3UeF6/eRHdAQTCoQJYlpI3T4suF98BqngCr\n2YRMY2rSzz072zqwo/pkVApecGxHRET0BcuUDBw/c0XtMAY0NZddhonuVphvwmvry6I2Xu5VkGcc\n1ng5EAxFLYZI6AmIHR8RUTzJzzGg8rEi7Np/Vu1QsKpiBosEEhERnG0d2FJli2lBYgDo6g5iS5UN\nr60v4xoDxQUmFhKR0IbTrdHt9eO5bbUIhdSvdNNL1kgon2tROwwiooRQe8wh1D0eAIIhBbXHHVj+\nKKubERFRchGpi7CIzl30YOMbdUwwE4Rom6hIXSMpYjU118DkHSKKqTvnwU06Lzo7O/v8fnp6OoqK\nilSKTjzNjmv4fpUNnf7odhbh2I6IiAiwmo1qhzAoq3mC2iEQCcmcnYHt68rw3uHz2FNzNqJzulpZ\nGlGHb63gXcB1WrHjIyKKN08ttMLWeDmq6zJDKcgzYumCaapdn4iIxBAMhrCj+mRMChH3p9PXgx3V\nJ7F9Xdmw3p2I1MTEQiKKeyZDKkqLc1F36pLaodw2vziXVeyJiCJAURTUHHWoHUYYCUCNzYGnFxdy\nkzERESUNEbsIi6jT14PNbx3BK2tLuQFdACJtoiIxDKeIFRERiaul1Y2X366PWXVhju2IKFIURcFV\ntw92pwd2pweOyx3wdQUQCIaglTXQj9PCMiUDVrMR1jwjsox6zj2TEKx5oicW8vlMNBBZ1mDZogLM\nnTkZew+24EiDC6GQAgnASGbIej8vayTML87FyvLpI+oApR+nHdH1YkkBkJrC7ZNERJEkyxpsqJyN\njW/UxTyRQwKQptdhQ+VsrtsQERH2HbKrmugO3Cpg+N7h81i2qEDVOIiGwjdjIkoIK5YUwtboEqJz\nhlaWsLKcHayIiCLhqseHdo9P7TDCKADaPT60e/zIMunVDoeIiCgmROwiLKqu7iC2VNnw2voydrET\ngCibqIiIiGhsnG0d2FJli1lSYS+O7YhoLNxeP2qPOVBz1BE2131n2qAC4PiZK7e/zjTqUfGwBeXz\nLCxmSqrKMuqRadQLt1YjAZhk1CPTyJ8PoqHk5xiwafWcW8+k4w7U2IZ+Jt1pklGPihILyueO7plk\nmZLR5xknmqm5BrVDICJKOObsDGxdU4LNbx2J6TxOSoqMrWtKOH9DRERoveJF9YEmtcMAAOypOYt5\n9+VwbwEJLaESC4PBIE6fPg2n0wm3242Ojg4YDAZMmjQJ06ZNg9VqVTvEAbW1td2O/caNG9BqtcjI\nyIDFYsH06dMxceJEtUMkElp+jgGVjxVh1/6zaoeCVRUz+PAnIooQu8oVY4Zid7qZWEhERElB1C7C\nIuv09WBH9UlsX1fGqqiCGM4mqsGMdRMVERERjV4wGMKO6pMxr3Tfi2M7Ihqp1ivePoVN+jNYoZN2\njw+7a5pQXduM0uJcrFhSiPwcJj5Q7EmShIqHLdhdI8ZmvF4KgIoSCzt7Eo2AyZCK5Y9Ox9OLC3HV\n48N5pwd253VccHnh7w6gJxCCTqtBaooWU3MNsJonwGo2IdOYOqafNatZ9M6nE9QOgYgoIRXmm/DK\n2lJsqbLFZD4nXa/D1jUlKMxnR2siokSnKAquun2wOz2wOz1wXO6AryuAQDAErayBfpwWl9tvCNGs\nCAACQQU/r23GptVz1A6FaEAJkVj40Ucf4d1338XRo0fh9XoH/NzkyZOxYMECrF69GoWFhTGMsH/d\n3d341a9+hb179+L06dMDfk6SJDzwwAN4+umn8eSTT0KW5RhGSRQ/nlpoha3xsqptiwvyjFi6YJpq\n1yciSjR2p+iJhddRMitX7TCIiIiiTtQuwqI7d9GD9w6fx7JFBWqHQnfobxPVsVPncfHqTXQHFASD\nCmRZQto4Lb5ceE/ENlERERHR6O07ZFd17h/g2I6IhicYDGHfITuqDzRFZPNSKKSg7tQl2BpdWFUx\nA0sXTGOCM8Vc+TwLqmubB0ySVYOskVA+16J2GERxSZIkZJvSkG1Ki8k6pzVP9MRCJqAQEUVLYb4J\nr60vw47qk1Gd1ynIM2JD5Wx2KiQiSnBurx+1xxyoOTqyLuwiqG9wwe31s4AxCSuuEwsvX76Ml156\nCTabbVif/+yzz/CLX/wCv/zlL7Fq1Sps2rQJKSkpUY6yfydOnMDLL7+MCxcuDPlZRVHwySef4JNP\nPsG//du/4fXXX8eXvvSl6AdJFGdkWYMNlbOx8Y26mFctlgCk6XXYUDmbi3lERBHkuNyhdgiDuuAa\nuKgFERFRIhG9i7DI9tScxbz7ctjZXkB3bqIy6bzo7Ozs8/vp6ekoKipSKToiIiLq1XrFi+oDYnRJ\n4tiOiAbjbOuI2obZQFDBzvfPoL7BxQ2zFHMmQypKi3NRd+qS2qHcNr84l5vxiOJEllGPTKNeuMJ1\nEoBJRj0yjbyXEBFFkzk7A9vXleG9w+exp+ZsRLtHaWWJBViIiJJA6xUv9h5swZEG14BFj0RMJrxT\nMKSg9rgDyx+drnYoRP2K25FUS0sLvva1rw07qfBOoVAI77zzDp5//nncvHkzCtEN7t1338Wzzz47\nrKTCu/X+uc+cORP5wIgSgDk7A1vXlGBcSmw7e6akyNi6poSLeEREEebrCkDUnjASAH93QO0wiIiI\nYkL0LsIiCwQV/Ly2We0wiIiIiOLW3oMtEd10NhYc2xHRQJod17Dx9Y+i3l313EUPNr5Rh5ZWd1Sv\nQ3S3FUsKoZXFWLHRyhJWlnMjHlG8kCQJFQ+L12FUAVBRYoEkiXFvIyJKZLKswbJFBXh9w0KUPXAP\nNJpb996R3oF7Py9rJJQ9cA/e+M4jWLaogEmFREQJKhgM4d0PW/CtHYdQd+rSgEmF8UACUGNzQFHi\n989AiS0uOxZ+9tlneOGFF3D16tU+x1NTU/HII49gyZIluOeeezBhwgR8/vnnOHfuHN5//318/PHH\nfT7/8ccf42/+5m/wk5/8JGaTBL/5zW/wve99L+ymkJ2dja997Wt44IEHcM8996Cnpwd2ux3/+Z//\niQ8//LDP52/cuIFvfOMb+PWvf42JEyfGJG6ieFKYb8Ira0uxpcoWk86F6Xodtq4pQWG+KerXIiJK\nNoFgSO0QBtUTEDs+IiKiSBG9izDwxWKiiNOw9Q0uuL1+VtInIiIiGiG3148jDS61w+iDYzsiultL\nqxsvv12Pru5gTK7X6evB5reO4JW1pVyfpJjJzzGg8rEi7Np/Vu1QsKpiBrsHE8WZ8nkWVNc2C7UR\nWNZIKJ8rXsIjEVEiy88xYNPqOXB7/ag97kCNzRHW0fbOndx3PzUmGfWoKLGgfK6F8zJERAnO2daB\nHdUno17EK1YUAO0eH9o9fmSZ9GqHQxQmLhMLN2/ejLa2tj7HHnzwQfzoRz/ClClT+hy/9957MWfO\nHKxcuRJ1dXX4zne+g+vXr9/+/cOHD2Pnzp147rnnoh73uXPn+k0q/Ku/+its2rQJOp2uz/GioiL8\n2Z/9GU6cOIFvfetbaG9vv/17bW1t+NGPfoRt27ZFPW6ieFSYb8Jr68uiPqgoyDNiQ+VsdiokIooS\nreBVxXRaseMjIiKKlN4uwuJs++grXa9D/uQM6LQafH7dj0tXb6gdUh/BkILa4w4sf5TV9ImIiIhG\novaYQ6jNxwDHdkTUl7OtA1uqbDFLKuzV1R3EliobXltfxnVKipmnFlpha7ys6qa+gjwjli6Yptr1\niWh0TIZUlBbnou7UJbVDuW1+cS6TUoiIVGIypGL5o9Px9OJCXPX4cN7pgd15HRdcXvi7A+gJhKDT\napCaosXUXAOs5gmwmk3INKay0ywRURJodlzD96ts6PQH1A4l4uxONxMLSUhxtxP6ww8/xO9+97s+\nx2bMmIF//dd/DUsqvFtZWRl+8pOfhCXwvfnmm7h27VrEY72ToijYsmULfL6+1TVeeuklvPzyy2Ex\n3WnOnDmoqqpCSkpKn+O//OUv4XKJVaWVSCTm7AxsX1eGZ5+YCa0c2RdKrSzh2SdmYvs6LtYREUWT\nfpxW2AQGBUBqSlzW6SAiIhoxkbsISwDyJ2fg1XVl+Mf/Ph9dPbHdzDkcEoAamyOs2BQRERERDUxR\nFNQcdagdRhiO7YioVzAYwo7qk+j09ahy/U5fD3ZUn0RQ4Hd2SiyyrMGGytlI1w+8vyVaJNwqLLWh\ncjZkwYtSElH/ViwpjPjendHSyhJWlrNQCBGR2iRJQrYpDSWzcrH68Rn43gvz8IO1pXh1XRl+sLYU\n33thHlY/PgMls3KRZdIzqZCIKAm0tLrx8tv1CZlUCAB25/WhP0Skgribbfvxj3/c52tZlvHqq68i\nLS1tWN//4IMP4oUXXuhz7MaNG9i5c2fEYuzPBx98gJMnT/Y59vjjjw+7U+J9992HysrKPsdCoRD2\n7dsXqRCJEpIsa7BsUQFe37AQZQ/cA43m1svlSF8xez8vaySUPXAP3vjOI1i2qICLFkREUWaZInby\n9tRcg9ohEBERxUS8dBG+6vGh3eMb4tOxpwBo9/jQ7vGrHQoRERFR3ODYjohEt++QXdXObQBw7qIH\n7x0+r2oMlFzM2RnYuqYE41LkmF43JUXG1jUlLPpLFMfycwyofKxI7TAAAKsqZiBvMu8nREREREQi\ncbZ1YEuVDV3d4hWTjpQLLq/aIRD1K65arDQ2NuIPf/hDn2OPP/44CgsLR3SeF154Abt27cLNmzdv\nH/vlL3+Jb37zm4N2DhyLn/70p32+TklJwebNm0d0jlWrVuH06dOYPn367V8FBQWRDJMoYeXnGLBp\n9Ry4vX7UHnegxuYI25BwZ7Lh3XWGJxn1qCixoHyuBSZDatTjJSKiW6xmo9ohDMpqnqB2CERERDER\nL12E7Spv6ByK3elGlkmvdhhEREREcYFjOyISWesVL6oPNKkdBgBgT81ZzLsvhwkSFDOF+Sa8srYU\nW6psMenYma7XYeuaEhTmm6J+LSKKrqcWWmFrvKxqYn5BnhFLF0xT7fpERERERBQuGAxhR/XJmMwz\nqEUC4O9OzE6MFP/iKrFw//79YceWLVs24vMYDAYsWbIEv/71r28fa29vx/Hjx1FaWjqmGPtjt9tx\n6tSpPsf+4i/+AtnZ2SM6T35+Pnbv3h3J0IiSjsmQiuWPTsfTiwtx1ePDeacHdud1XHB54e8OoCcQ\ngk6rQWqKFlNzDbCaJ8BqNiHTmApJGmmfQyIiGitrnuiJhVzEJiKi5GCZkoHjZ66oHcaAersI252i\nbz6/jpJZuWqHQURERBQXOLYjIpHtPdiCQFCMEjyBoIKf1zZj0+o5aodCSaQw34TX1pdhR/XJqCYI\nFeQZsaFyNjsVEiUIWdZgQ+VsbHyjLuYbhiUAaXodNlTOhixrYnptIiIiIiIa3L5DdlULkMRKTyCk\ndghE/YqrxMLf/va3fb4eP348/uRP/mRU51q4cGGfxEIA+K//+q+oJBb2lxD5l3/5lxG/DhENnyRJ\nyDalIduUxoV/IiKBZRn1yDTqw7rMqk3CrW62mUZ2sSUiouQQL12EHZc7VI5kcBdcXrVDICIiIoob\nHNsRkajcXj+ONLjUDqOP+gYX3F4/TAbOWVPsmLMzsH1dGd47fB57as5GNNlWK0tYVTEDSxdMYwIQ\nUYIxZ2dg65oSbH7rCLq6gzG7bkqKjK1rSpioTERElIAURcFVtw92pwd2pweOyx3wdQUQCIaglTXQ\nj9PCMiUDVrMR1jwjsox6NhohEkjrFS+qDzSpHUZM6LSc4yAxxU1i4bVr1/DHP/6xz7EHH3wQWu3o\n/ggPPfRQ2LETJ06M6lxDOXz4cJ+vjUYjiouLo3ItIiIiokQiSRIqHrZgd41YL44KgIoSCyeZiIgo\nacRLF2FfVwASbj2rRSMB8HcH1A6DiOIEF8GJiDi2IyJx1R5zIBQS6+4UDCmoPe7A8kenqx0KJRlZ\n1mDZogLMnTkZew+24EiDC6GQMuJneO/nZY2E+cW5WFk+HXmTmfxDlKgK8014ZW0ptlTZYtK5MF2v\nw9Y1JSjMN0X9WkRERBQ7bq8ftcccqDnqCCtaf+eKiQLg+Jkrt7/ONOpR8bAF5fMsLNBDJIC9B1si\nWqxIVAqA1JS4Sd+iJBM3/zIbGxvDjt13332jPt/kyZORlZWFq1ev3j527tw5+Hw+6PX6UZ/3bp2d\nnThz5kyfYyUlJdBomG1MRERENBzl8yyorm0WaqOGrJFQPteidhhEREQxEy9dhAPBkLoBDaEnIHZ8\nRKQ+LoITEX2BYzsiEpGiKKg56lA7jDASgBqbA08vLmTBCVJFfo4Bm1bPufVOc9yBGtvQ7zR3mmTU\no6LEgvK5fKchShaF+Sa8tr4MO6pP4txFT9SuU5BnxIbK2exUSERElEBar3j7FDbpz2C7zNo9Puyu\naUJ1bTNKi3OxYkkh8nMM0QmWiAbl9vpxpMGldhgxMzWX9xoSU9wkFn766adhx+69994xnXPq1Kl9\nEguDwSAcDgeKiorGdN47nT59GqFQ34XF6dNZJZCIiIhouEyGVJQW56Lu1CW1Q7ltfnEuF7aJiCip\nxEsXYa0sdiEnnVbs+IhIPVwEJyIKx7EdEYnoqscnXNEd4NZYsd3jQ7vHjyxT5AopE42UyZCK5Y9O\nx9OLC3HV48N5pwd253VccHnh7w6gJxCCTqtBaooWU3MNsJonwGo2IdOYyqRYoiRkzs7A9nVleO/w\neeypORvRLiVaWcKqihlYumAaZMHfLYiIiGh4gsEQ9h2yo/pAU0TGDaGQgrpTl2BrdHHcQKSS2mMO\noRpORJvVPEHtEIj6FTeJha2trWHHpkyZMqZz9vf9kU4sPHfuXNixqVOnhh1zu904duwY7HY7Pv/8\ncwSDQZhMJmRmZmL27NmYOXMmJ1GJiIgoaa1YUghbo0uIlvdaWcLKchaKICKi5BMPXYT147SDJt6o\nSQGQmhI3U3FEFCNcBCciGhjHdkQkInsUOypFgt3pZmIhCUGSJGSb0pBtSkPJrFy1wyEigcmyBssW\nFWDuzMl9ii5JGLzI0t16Py9rJMwvzsXK8unIm8wuhURERInC2dYRtU7HgaCCne+fQX2Di52OiWJI\nURTUHHWoHUZMWc0mtUMg6lfcrHjd2VmwV2Zm5pjOmZWVNazrjEV/CZF3Jhb+/ve/x9tvv43Dhw8j\nGAwOeJ7MzEwsX74cX//615GRwQELERERJZf8HAMqHyvCrv1n1Q4FqypmcBGKiIiSUjx0EbZMycDx\nM1dUjGhwU3PZPYyIvsBFcCKiwXFsR0QisjtFTyy8ziQuIiKKS/k5BmxaPQdurx+1xx2osTlG1CV4\nklGPihILyuda+swZExERUfxrdlzD96ts6PQHonqdcxc92PhGHbauKUFhPpN/iKLtqsc3ojF/PJNw\n650l08h3FRJT3CQWejzhE/QGw9gW7Pr7/v6uMxaXL18OOzZhwgQEg0H80z/9E3bt2gVFGbq+Unt7\nO/7lX/4Fu3fvxg9/+EMsWrQoonHGms/nQ1NTk9phEBElJZ8vfCDO+zLFg5lTFORlpeLiVb9qMeRl\npWJGToA/L0QRwmcSUfyZZ9WhvgEIhtSOBJA1t+K5856hlzpVjGhoqbjBe5yg+EyiWGtt8+F//acT\n/u7o3lDPXfRgw48O4cXHzcjPZucaonjAZ9IXOLYjIhGdPudSO4RB/aHlEprulSJyLj6TiIhILfeb\ngeJlefB0BuC86seFKzdwxd2N7oCCYFCBLEsYp9XAnKXHPZmpyMtKxYR0LSRJwWeuC/hM7Mc1ERHF\nMb4nxV5rmw8/ef8iugMj6WU8ep2+Hrz0L3X4xhN5XFchirLGP3aoHULMKADmWNPR3NwcsXPymSS+\n/v6ORBU3iYVerzfsWFpa2pjOmZ6ePqzrjIXb7Q47lpqaim9/+9s4cODAiM93/fp1/PVf/zVefvll\nPPPMM5EIURWhUAidnWIvCBMRJRPelylePDlvAn56oAv+nthMFt0pVSfhyXkT4PfdjPm1iZIJn0lE\nYhufAiycZcCHv4/s/MloPFJswPiUADo7v6hMOTFdgIzHQUxK5z0unvCZRNHibO/Gzg+voicYm/ca\nX3cIb///F/Hs4iyYM1Nick0iiqxkfSZxbEdEIroZ5e4IY3WzKxDVe1OyPpOIiEgdKRLwpWwNvpQ9\nVPOBbty82R2TmIiIiO7G96Toaff24KcH2mKWVNirO6Dgf+2/iBcfy0amQRfTaxMlkz9eTp7EQo0E\n3Jeni/rzgs8kGi2N2gEMV3d3+Mt/SsrYNkHodOEP+/6uMxb9JSru2rWrT1Lhgw8+iG3btmH//v34\n5JNP8Pvf/x4ffvghtm/fjgULFoR9fygUwg9+8APU19dHNFYiIiIi0WUadHjmkSzo5MhUXB4unSxh\n9aIsThYREREBmD8jA7kT1X0m5k7UoaQoI+z4hDQZhjRZhYiGZhA4NiKKnXZvD3b/NnZJhb16ggp2\n//Yq2r09Mb0uEdFYcGxHRCIKhmJf9G4kgjEeZxIRERERERFFQzCkYF/9NVWKzwOAv+fW9UWfByCK\nZ595kmfdckaeHhl6rimQuOKmY2EgEF75T6sdW/iyHP7D2dMT2RtUV1dX2LGf/vSnAIDx48dj27Zt\n+MpXvhL2GbPZDLPZjK9+9av43e9+h29/+9t9khRDoRA2btyI2tpajB8/PqIxExEREYnMnJmCZxdn\nYfdvr8Zk8ihVJ+GZR7JwzyR29iAiIgIAWSPhqfkT8dMDbap1EX5q/kTImvBCA5Ik4SFrOn7boH5H\nxbvNsaZDkmJbHIGIxCLKIvgL5dn93kOJiETDsR2NhKIouH4zCNe1Hly+1o3PPD3o7lEQDCmQNRJS\ndBImG3WYMjEFuRN1mJAm8++QRkX0cZQc46J8RERERERERNFQf7YDrmvqJh25rvXA1tSBP505VPdk\nIhqNbpXWTGNNowEWzuJ9hMQWN4mF0RCLxaL+EiJ7enowbtw4VFVV4aGHHhryHH/6p3+KnTt3YsWK\nFX0SFT///HPs3bsXL774YkRjJiIiIhKdOTMFLz6WjX3116I6iZQ7UYen5k9kp0IiIqK79HYR3vlh\nbLtuDaeL8Oxp6Tjc6IVIxSM1EvDgtHS1wyAilXERnIho5Di2o6F0+II4eb4T/8feCe/N4KCfbbnk\nv/3fhjQZD1nTMXtaOitF04ik6MRO3EvRih0fERERERER0VDarvfgt41iFBv7rwYvpt+jR9YE7h0j\nirRk6Qi6qNjAewgJL24SC3W68B+mQCDQ7/Hh6i/pbyzn689AXRVffPHFYSUV9po5cya++c1v4p//\n+Z/7HN+5cydeeOGFuKuoqdFooNfr1Q6DiCgp+Xw+hEKhPsd4X6Z4lJ4OrF86AR81XMOB/9OOYGjo\n7xkuWQM89lAm/ltx/92QiCgy+Ewiim/T09Px3/8sFT/9Tyd83RF8EA9An6LBi4+bkZ89+D0iPR2Y\nde8N/P7TjqjHNFyz7s1ATiaTeETGZxJF22fuLhwSZBH8tw1ePGCdiMmmcWqHQkT94DOpL47taCCf\nubtw8OTnaPxjx6gST703g/htgxeHG72YdW8GlsyexGcjDYs562afJFXR5GWlIT09MsnPfCYREZEo\n+EwiSnyKosBzIwBnux/Odj+uXOtCV08IgZACrUbCOJ0GORPHwZyZCnNWKozp2rjbM0uJgc+k2Dhy\n1IVQ9JefhyUUAn539iaeWZyrdihECSdFl/gF3/KyUvHoQzlR2YPKZ5L4+vs7ElXcJBaOGxe+kNPd\n3T2mRMA7u/8Ndp2xSEtLCzum0+nw/PPPj/hclZWVeOutt3Dz5s3bx9ra2tDU1IQZM2aMKc5Y0+v1\nKCoqUjsMIqKk1NTUhM7Ozj7HeF+meHbfTOCJhV7sPdiCIw0uhEIKJAAj2U/U+3lZI2F+cS5Wlk9H\n3uSM6ARMRLfxmUQU/4qKgJlFVuyoPolzFz1Ru05BnhEbKmfDnD285/MaYy6+teMQAjHspjgQrSzh\nG8v+hGMLwfGZRNH2/71zIqLFUMYiGAKO2XuwafX9aodCRP3gMykcx3Z0p2AwhH2H7Kg+4IjIv4mQ\nAvz+0w6cdtzAqooZWLpgGmRZE4FIKVFd6zbgv05dUzuMAc17YBqKiiKz2ZHPJCIiEgWfSUSJy+31\no/aYAzVHW9Hu8fX5vTu33ysAzrR+cR/INOpR8bAF5fMsMBlSYxMsEfhMigW314/GCy1qh9HHHy7c\nwOTcqbzfEEXYpCPXcf6yb+gPxiEJQJpeh83Pzx/2PpeR4jNJfP39HYkqbhILMzLCf6Bu3Lgxpmp7\nN27cCDs2YcKEUZ+vP/3FN2/ePIwfP37E5xo/fjzKyspw4MCBPsePHj0ad4mFRERERJGUn2PAptVz\nbk06H3egxuYYctL5TpOMelSUWFA+l5POREREI2XOzsD2dWV47/B57Kk5G9EN31pZGtXm3vwcAyof\nK8Ku/WcjFstoraqYwY3nREnO7fXjSINL7TD6qG9wwe318/2HiOICx3bUy9nWEbWiJoGggp3vn0F9\ng2tERU0o+VjzjGqHMCir2aR2CEREREREQ2q90rd4dH8GW21q9/iwu6YJ1bXNKC3OxYolhcjPMUQn\nWCKKqdpjjgHvC2oJhhTUHndg+aPT1Q6FKKFYpmTg+JkrarCYgRoAACAASURBVIcRFSkpMrauKeE8\nM8WNuEksnDhxYtix69evY/LkyaM+5/Xr14d1nbHoL7EwPz9/1Oe7//77wxILL1y4MOrzERERESUS\nkyEVyx+djqcXF+Kqx4fzTg/szuu44PLC3x1ATyAEnVaD1BQtpuYaYDVPgNVsQqYxFZIU+XbzRERE\nyUKWNVi2qABzZ04WpovwUwutsDVejmonxaEU5BmxdME01a5PRGLgIjgR0dhxbEfNjmv4fpUNnf5A\nVK9z7qIHG9+ow9Y1JSjIM+Kq2we70wO70wPH5Q74ugIIBEPQyhrox2lhmZIBq9kIa54RWUY95xiT\nQJZRj0yjPqywndok3Cqgl2lk4QgiIiIiEtcXXeibItOFPqSg7tQl2Bpd7EJPlAAURUHNUYfaYYSR\nANTYHHh6cSHnfogiyGoWu4DXaKXrddi6pgSF+SwARvEjbhILc3Jywo61t7ejsLBw1Of87LPPwo5N\nmTJl1OfrT3Z2dtgxk2n0N4n+4nO73aM+HxEREVEikiQJ2aY0ZJvSUDIrV+1wiIiIkoZIXYRlWYMN\nlbOx8Y06dPp6xnSukZIApOl12FA5mwvYREmOi+BERJHBsV1ya2l14+W369HVHYzJ9Tp9Pdj0P+uQ\noU+B50ZXn9+7+33mzoramUY9Kh62oHze2N9nSFySJKHiYQt21zSpHUofCoCKEgvHdkREREQkLHah\np1hQFIVFguLYVY9PuEI+wK137naPD+0eP7JMerXDIUoY1rzESywsyDNyLEJxKW4SCy0WS9gxp9M5\npnNevHgx7NjUqVPHdM67FRQUhB3z+/2jPp/BEN6u/caNG6M+HxERERERERFRpInSRdicnYGta0qw\n+a0jMduEDAApKTK2rinhZDERcRGciCiCOLZLTs62DmypssX07xwAgkElLKkQGLwje7vHh901Taiu\nbUZpcS5WLClEfk742i7Fv/J5FlTXNgvVlVrWSCifG76ngoiIiIhIBGp0oWeXoOTi9vpRe8yBmqND\nFz1lkSBx2aOQeBxJdqebaypEEZRl1CPTqBdyLXWktLLE7skU1+ImsbC/BL1PP/101OcLhUL44x//\n2OdYWloazGbzqM/ZH6vVGnbM6/WO+nw9PeFVWNPT00d9PiIiIiIiIiKiaBGhi3BhvgmvrC3Flipb\nTLrbpOt1XLAmotu4CE5EFFkc2yWXYDCEHdUnY96lcqxCIQV1py7B1ujiZpIEZTKkorQ4F3WnLqkd\nym3zi3O5CZaIiEgF7IxFNDQ1utBvfusIXllbyvf5JNB6xYu9B1twpME1YPEXFgmKH3an6Gsq11Vb\n8yZKRJIkoeJhC3bXNKkdyohJuPV8kTUS5hfnYmX5dORNZnFCil9xk1j45S9/GVqtFoHAFxVLGhsb\nR30+u92Omzdv9jl2//33Q5blUZ+zP4WFhWHHzp07N+rz9ZeUaDQmXhtYIiIiIiIiIqJIKcw34bX1\nZdhRfRLnopjkU5BnxIbK2exmQ0S3cRGciCjyOLZLHvsO2aP6dxxtgaCCne+fQX2Di/+WEtCKJYWw\nNboQCKrftVArS1hZPl3tMIiIiJIKO2MRDY9aXei7uoPYUmXDa+vL+C6WoILBEPYdsqP6QFNE3stY\nJEgMjssdaocwqAuu0TcWIqL+lc+zoLq2ecDkcDXdPa6/0ySjHhUlFpTP5bieEkPcJBbq9XrMmjUL\nn3zyye1jDQ0NuHnzJtLS0kZ8vvr6+rBjJSUlY4qxP5MmTcK9997bpztiU1MTuru7kZKSMuLz2e32\nsGM5OTljipGIiIiIiAbGSqNERInBnJ2B7evK8N7h89hTczaimz+1ssRFRiLqFxfBiYiig2O7xNd6\nxYvqA/FXqbo/5y56sPGNOna/TDD5OQZUPlaEXfvPqh0KVlXMYEV0IiKiGGFnLKLhU7sLfaevBzuq\nT2L7ujK+3ycYZ1tH1ApOsUiQunxdgdtdwEQjAfB3B4b8HBGNjMmQitLiXNSduqR2KLflTc7AlEnp\n8HcH0BMIQafVIDVFi6m5BljNE2A1m5BpTOX+QEoocZNYCACPPvpon8TC7u5ufPTRR6ioqBjxuT74\n4IN+zx8NjzzySJ/EQr/fjw8++ABf+cpXRnyuO//8vR566KExxUdEREREROFYaZSIKPHIsgbLFhVg\n7szJfTZ/jHSBqvfzskbC/OJcrCyfzk2cRNQvLoITEUUPx3aJbe/BFiE6wUVKp68Hm986glfWljK5\nMIE8tdAKW+NlVTtrFuQZsXTBNNWuT0RElCzYGYto5EToQn/uogfvHT6PZYsKVI2DIqfZcQ3fr7Kh\n0x/duW0WCVJHIBhSO4RB9QTEjo8oXq1YUghbo0uI+WCtLOGlZ/+EawSUdOLqbfSJJ56ALMt9jv3i\nF78Y8Xnsdjs+/vjjPseKi4sxbVp0JtyffPLJsGN79uwZ8XkuXryIEydO9Dmm0+lw//33jzo2IiIi\nIiLqq/WKF6++cwLPbavF7pqmsKRC4NaGw95fd+utNPrctlq8+s4JtF5hFxgiItHk5xiwafUc/Pv3\nyvHM40WYZNSHfUa649fdJhn1eObxIvzb98qxafUcTioT0YC4CE5EFH0c2yUet9ePIw0utcOIuK7u\nILZU2eBsE7ujMQ2fLGuwoXI20vW6mF9bApCu12FD5WwmIRAREUWZs60D332zDrv2R7ZbOvBFZ6zv\nvlnHcSIlFJG60O+pOYuLn/HnKxG0tLrx8tv1UU8q7NVbJKil1R2T6xGgFfz9VqcVOz6ieJWfY0Dl\nY0VqhwEAWFUxg2sElJTiqmPhlClTsGjRIhw8ePD2sSNHjuD48eOYO3fusM/zox/9KOzYM888E5EY\n+1NUVIS5c+fi+PHjt4+dOHEC77//Pp544olhn+fHP/4xFKXv5MQTTzwBvT58gZSIiIiIiEaGlUaJ\niJKPyZCK5Y9Ox9OLC3HV48N5pwd253VccHnh7w6gJxCCTqtBaooWU3MNsJonwGo2IdOYCknqb1s6\nEVFfXAQnIoodju0SR+0xB0Ih9atTR0Onrwc7qk9i+7oyzhMlCHN2BrauKcHmt46gqzsYs+umpMjY\nuqYE5mxudKLkoSgKrrp9sDs9sDs9cFzugK8rgEAwBK2sgX6cFpYpGbCajbDmGZFl1PMZT0Rjxs5Y\nRKMjUhf6QFDBz2ubsWn1HLVDoTFwtnVgS5Utpu9dwBdFgl5bX8b3rxjQj9P2W+BbBAqA1JS4Srsg\niitPLbTC1nhZ1W7HBXlGLF0QnUZlRKKLuyfcN7/5TXzwwQd9EuxeeuklvPvuu5g4ceKQ3/8f//Ef\n+OCDD/ocs1qt+PM///NBv8/pdGLx4sVhxz/88EOYzeYhr/utb30Lq1at6nNsy5YtmDZtGoqKhs6w\nPnDgAPbt2xd2/Otf//qQ30tERERERINztnVgR/XJqExO9FYarW9wYUPlbE42ExEJSJIkZJvSkG1K\nQ8msXLXDIaIEwkVwIqLY49guvimKgpqjDrXDiKpzFz147/B5LFtUoHYoFCGF+Sa8srYUW6ps6PT1\nRP166Xodkw4oqbi9ftQec6DmqAPtHl+f37szbVABcPzMldtfZxr1qHjYgvJ5FpgMqbEJlpIak18T\nT29nrFglsfR2xnplbSmf8xTXROxCX9/ggtvr55ggTgWDIeyoPhmT963+3FkkiKLLMiWjz5heNFNz\nDWqHQJSwZFmDDZWzsfGNupjf7yUAaXodNlTOZjE4Slpx9y+/qKgoLEHP6XTi2Wefxaeffjrg9ymK\ngj179mDLli19jms0GvzDP/wDNJro/q+YM2cOvva1r/U5duPGDTz33HM4dOjQgN+nKAqqq6uxYcOG\nsN9bvnz5sJISiYiIiIhoYM2Oa9j4+kdRr3jUW2m0pdUd1esQERERkTgsU8QuKsFFcCIiEs1Vjy8s\naSQR7ak5i4ufdagdBkVQYb4Jr60vQ0GeMarXKcgz4rX1ZUw2oKTQesWLV985gee21WJ3TVO/zwfl\njl93a/f4sLumCc9tq8Wr75xA6xVvtEOmJOX2+vG/Dzbj+X88iBd+cBD/Y+fHePfDczh+5gr+cL4d\nTReu4Q/n23H8zBW8++E5/I+dH+OFfzyI5//xIP73wWa4vX61/wjUD7U7YznbOFak+CViF/pgSEHt\n8cQuYpPI9h2yq9rBCviiSBBFl9Uc3XfqsbKaJ6gdAlFCM2dnYOuaEoxLkWN63ZQUGVvXlLBZACW1\nuCxHvHHjRnzyySc4ffr07WMtLS346le/ikceeQSPPfYY8vPzMX78eLS1taGxsRG/+tWvYLfbw861\nfv16zJkTmxbnf/d3f4fTp0/jzJkzt4+53W584xvfwPz58/Hkk0/iS1/6EsaPH49r167h1KlT+M1v\nfoOmpqawcxUWFmLz5s0xiZuIiIiIKFGx0igRERERRRMXwYmIiEbGrvJGwVgJBBX8vLYZm1bHZp2a\nYsOcnYHt68rw3uHz2FNzFoFg5DZTa2UJqypmYOmCaaycTgkvGAxh3yE7qg80ReTnKBRSUHfqEmyN\nLv4cUUS1XvFi78EWHGlwDZhAM9i/4N7k1+raZpQW52LFkkLk57AAkAhE6ozF+xXFG1G70EsAamwO\nPL24kN1i40zrFS+qD4TvoVbDnpqz+JulFoxPUTuSxGWNcrGesbKauc+HKNoK8014ZW0ptlTZYjIe\nT9frsHVNCffxUdKLy8RCvV6PqqoqPP/882hubr59vKenB7W1taitrR3WeZ5//nmsXbs2WmGGSU1N\nxc9+9jO8+OKLfZIiAaC+vh719fXDOk9xcTHefvttpKayLTsRERER0WipXWn0tfVlrHRERERElOC4\nCE5ERDQydmdyJBYCQH2DC26vHyYD13wTiSxrsGxRAebOnNwn2UTC4Mkld+v9vKyRML84FyvLpyNv\nMucSKfE52zqwo/pkVDrSBIIKdr5/BvUNLmyonM35eRo1Jr8mPpE6Yy1bVKBqHEQjJWoXegW3Errb\nPX5kmfRqh0MjsPdgS0SLtoxFIKjg4MnPsfRhFuyLliyjHplGvXD3EQnAJKMemUbO4RDFQmG+Ca+t\nL4va/ECvgjwj5weI/p+4nYXIzMxEdXU1nnzyyRF/b0ZGBn74wx/ib//2b6MQ2eAmTpyI6upqrFy5\nEhrNyP7363Q6rFq1Cu+88w4mTZoUpQiJiIiIiBKfKJVGg8GQKtcnIiIiotjoXQQXjQQgk4vgREQk\nIMflDrVDiJlgSEHtcfE6eVBk5OcYsGn1HPz798rxzONFmNTPmFC649fdJhn1eObxIvzb98qxafUc\nJhVSUmh2XMPG1z+KejLPuYsebHyjDi2t7qhehxKTs60D332zDrv2R7YzLfBF8ut336yDsy15xkSi\nEa0z1sXP+G+B4ovoXejtTj7/44nb68eRBpfaYfTR+McOdPhiW7w6mUiShIqHLWqHEUYBUFFiYcdT\nohgyZ2dg+7oyPPvETGjlyP7saWUJzz4xE9vXsSkAUa+47FjYa/z48Xj11VexatUqVFdX4/Dhw3C7\nBx74z5gxA0uWLMGqVatgNKpXKTo1NRV///d/jxUrVuDf//3fcfDgQdy4cWPAz2dnZ+ORRx7BCy+8\nAItFvAETEREREVG8YaVRIiIiIoqF3kXw3TVibEjrxUVwIiISla8rMOLObvFKAlBjc+DpxYV8Jicw\nkyEVyx+djqcXF+Kqx4fzTg/szuu44PLC3x1ATyAEnVaD1BQtpuYaYDVPgNVsQqYxlf8uKKm0tLrx\n8tv16OqOzSbtTl8PNr91BK+sLUVhPju50/A0O67h+1U2dPoDUb1Ob/Lr1jUl/PepAtE6Y/28thmb\nVs9ROxSiYRO9C73deR0ls3LVDoOGqfaYA6GQGPfkXiEF+OR8J/7blw1qh5KwyudZUF3bLNTfvayR\nUD6X+/eJYk2WNVi2qABzZ07G3oMtONLgQiikjHj+uPfzskbC/OJcrCyfziJeRHeJ68TCXvfffz/u\nv/9+hEIhnD59GhcvXsTnn3+OmzdvYuLEicjMzMTMmTMxefLkUV/DbDajubk5glEDRUVF+OEPf4ht\n27bh7NmzOH/+PD7//HP09PRgwoQJmDRpEiwWC4qKiiJ6XSIiIiKiZCZapdF59+VwsoKIiIgogXER\nnIiIaPgCwZDaIcSMAqDd40O7x48sk3gdjimyJElCtikN2aY0bmQmuouzrQNbqmwxSyrs1dUdxJYq\nG15bzw4FNDQmvyYHETtj1Te44Pb6YTKkqh0K0bCI3oX+gsurdgg0TIqioOaoQ+0w+nXC3omy+zJY\nDCZKTIZUlBbnou7UJbVDuW1+cS6fxUQqys8xYNPqOXB7/ag97kCNzYF2j6/PZ+68I9+9IjvJqEdF\niQXlcy38WSYaQEIkFvbSaDSYNWsWZs2apXYoI6LT6VBcXIzi4mK1QyEiIiIiSnisNEpEREREscRF\ncCIiouHTyhq1Q4g5u9PNxEIiSlrBYAg7qk+i09ejyvU7fT3YUX0S29eVQU7CZxAND5Nfk4eInbGC\nIQW1xx1Y/uh0tUMhGhaRu9BLAPzd0e06S5Fz1eMLSxoRhfdmEN6bQUxIT6gt+EJZsaQQtkaXEHt7\ntLKEleV8DhOJwGRIxfJHp+PpxYW46vHhvNMDu/M6Lri88HcH0BMIQafVIDVFi6m5BljNE2A1m5Bp\nTGUyONEQOKohIiIiIqKkwUqjRERERKQGLoITEdHdFEXBVbcPdqcHdqcHjssd8HUFEAiGoJU10I/T\nwjIlA1azEdY8I7KM+qTY/KAfpxVyA2o02Z3X2cGOiJLWvkN2nLvoUTWGcxc9eO/weSxbVKBqHCQm\nJr8mD1E7Y0kAamwOPL24MCneByj+id6Fvicgdnz0BbvKY8ShuK71MLEwivJzDKh8rAi79p9VOxSs\nqpiBvMks8kAkEkmSkG1KQ7YpjfOqRBHCUQ0RUYRwEwAREZH4WGmUiIiIiNTARXAiIurl9vpRe8yB\nmqOOsMr7d64YKACOn7ly++tMox4VD1tQPs+S0MWJLFMy+vy5k8EFl1ftEIiIVNF6xYvqA01qhwEA\n2FNzFvPuy+G7EoVh8mvyELUzlgKg3eNDu8fPLtcUF0TvQq/Tih0ffcHuFD2xsBsz8nhfjqanFlph\na7ys6lisIM+IpQumqXZ9IiKiWGFiIRHRGHETABERUXxgpVEiIiIiUhMXwYmIklvrFS/2HmzBkQbX\ngEWPBiuF1O7xYXdNE6prm1FanIsVSwqRn2OITrAqspqNaocQUxIAf3dA7TCIiFSx92CLEF3dASAQ\nVPDz2mZsWj1H7VBIIEx+TS6id8ayO91MLKS4IHIXegVAagq3TMcLx+UOtUMY1GcedboZJxNZ1mBD\n5WxsfKMu5t2jJQBpeh02VM5m12giIkoKHCUTEY0SNwEQERHFF1YaJUos7BhORETxhovgRETJKRgM\nYd8hO6oPNEUkeSIUUlB36hJsjS6sqpiBpQumJdS93ZqXXImFANATCKkdAhFRzLm9fhxpcKkdRh/1\nDS64vX4WBabbmPyaXETvjGV3XkfJrFy1wyAakuhd6Kfmcm9evPB1BSBh8P2XauoOiBpZYjFnZ2Dr\nmhJsfusIurqDMbtuSoqMrWtKYM5mUQciIkoOTCwkIhohbgIgIiKKT6w0SpQY2DGciIjiGRfBiYiS\ni7OtAzuqT0alW20gqGDn+2dQ3+DChsrZCXOPzzLqkWnUC1kcKlp0Wq4JEVHyqT3mGLB4r1qCIQW1\nxx1Y/uh0tUMhATD5NfmI3hnrgsurdghEwyJ6F3qreYLaIdAwBYJiF+EJClJ8IBkU5pvwytpSbKmy\nxaRoY7peh61rSlCYb4r6tYiIiETBxEIiohHgJgAiIqL4xUqjRPGNHcOJiChRcBE8cbCDMhENptlx\nDd+vsqHTH4jqdc5d9GDjG3UJc6+XJAkVD1uwu6ZJ7VBiQgGQmsIleyJKLoqioOaoQ+0wwkgAamwO\nPL24kON2YvJrEhK5M5YEwN8d3fcKokgRvQu91Rz/783JQit4YwZZ5ngxlgrzTXhtfVnU9u72Ksgz\ncu8uERElJa5SEBENEzcBEBERxTdWGiWKT+wYTkREiYiL4PGNHZSJaCgtrW68/HZ9zLrTdvp6sPmt\nI3hlbWlCrCuUz7OgurZZuM380TI1l0VviCi5XPX4hOxMq+BWcbJ2jx9ZJr3a4ZCKmPyanETvjNUT\nEDs+ol6idqGXAEwy6pFp5JxcvNCP0wqZ7N0rRctncayZszOwfV0Z3jt8HntqzkZk70AvrSxx7wAR\nESU1Pv2IiIahdxNAtJMKe/VuAmhpdcfkekRERMmgt9KoiFhplKh/zrYOfPfNOuzaH9mFAeCLjuHf\nfbMOzjaxE4+JiCgx9S6CP/vETGgjXN1YK0t49omZ2L6ujEmFEdR6xYtX3zmB57bVYndNU78bpJQ7\nft2tt4Pyc9tq8eo7J9B6hcVFiBKRs60DW6psMUsq7NXVHcSWKltCvN+YDKkoLc5VO4yYsZonqB0C\nEVFM2aNYXCUS7E6u0Se7eEh+pcgTvTOWTit2fES9ervQi0YBUFFiYWJ2HLFMEXtee7JRp3YISUmW\nNVi2qACvb1iIsgfugUZz62d6pD/ZvZ+XNRLKHrgHb3znESxbVMCkQiIiSlrsWEhENAS1NwG8tp4b\nwIiIiCKBlUaJ4gs7hhMRUTLoXQSfO3My9h5swZEGF0IhBRL6T0wbSO/nZY2E+cW5WFk+HXmTOZ8U\nKeygTETDFQyGsKP6JDp9Papcv9PXgx3VJ7F9XVnc31dWLCmErdEV8SIzIrKa+S5KRMnF7hQ9sfA6\nSmYlT4I7hYuH5Fd21Yw8kTtjKQBSU7jNc7QURcFVtw92pwd2pweOyx3wdQUQCIaglTXQj9PCMiUD\nVrMR1jwjsox6Jp+NkYhd6GWNhPK54iU80sCsZqPaIQwqd2KK2iEktfwcAzatngO314/a4w7U2Bxh\nhSHuvJPffTeaZNSjosSC8rkWmAzsZEpERMQ3TiKiQXATABERUeJgpVGi+NHbMTxWxT16O4a/sraU\nyYVERKQKLoKLy9nWgR3VJ3EuChtLezso1ze4sKFyNouLESWAfYfsUblfjMS5ix68d/g8li0qUDWO\nscrPMaDysSLs2n9W7VCiRsKtZ3imkc9uIkoujstid9e94GJn8WTH5NfkZJmSgeNnrqgdxoCm5hrU\nDiHuuL1+1B5zoObo0PNsd/7dZxr1qHjYgvJ5nGcbrd4u9HWnLqkdym3zi3P59xlnrHmiJxayY6EI\nTIZULH90Op5eXIirHh/OOz2wO6/jgssLf3cAPYEQdFoNUlO0mJprgNU8AVazCZnGVCaRExER3YGJ\nhUREg+AmACIiosTBSqNE8YEdw4mIKJlxEVws7KBMRCPResWL6gNNaocBANhTcxbz7suJ++61Ty20\nwtZ4WfV1mmhRAFSUWPgMJ6Kk4+sKjLhLe6xIAPzd0R3/k/iY/JqcRO+MZTVPUDuEuNF6xYu9B1tw\npME1YMe8wZ5B7R4fdtc0obq2GaXFuVixpBD5OUzsHCmRutBrZQkry6erHQaNUJZRj0yjPiwxWASG\nNBmGNFntMOgOkiQh25SGbFMaCzAQERGNAneuEhENgJsAiIiIEgsrjRKJjx3DiYiIbuEiuPrYQZmI\nRmrvwRYhNkwCtzqi/ry2GZtWz1E7lDGRZQ02VM7GxjfqVHtPjCZZI6F8rkXtMIiIYi4QDKkdwqB6\nAmLHR9HH5NfkJHpnLKuZcwVDCQZD2HfIjuoDTRF5NwuFFNSdugRbowurKmZg6YJpXDsaAZG60K+q\nmME9d3FIkiRUPGzB7hox9m/eaY41nUWCiIiIKKHwTYeIaAAibgIgIiKi0WOlUSLxidQxnIiIiJKX\n2h2UnW1id8cgonBurx9HGlxqh9FHfYMLbq9f7TDGzJydga1rSjAuJfE6AcwvzoXJkKp2GEREMacV\nPClDpxU7Poo+Jr8mp97OWKKRAGQa9cg0ctw4GGdbB777Zh127T8b8b1egaCCne+fwXffrOOczQg9\ntdCKApWTdgvyjFi6YJqqMdDolc+zQKMRK4FPIwEPTktXOwwiIiKiiOJsGBFRP7gJgIiIKPGw0iiR\n2ETrGH7xMy4OExERJSNROigHBd/ISkR91R5zIBQSo1Bhr2BIQe1xh9phRERhvgmvrC1Ful6ndigR\no5UlrCyfrnYYRESq0I/TCtkJDrjVoS41Rat2GKQyJr8mp97OWKJRAFSUWNgZaxDNjmvY+PpHUS9c\nee6iBxvfqENLqzuq10kkvV3o1XiXkwCk63XYUDmbnSbjmMmQitLiXLXD6GPWvRnI0Cde8SMiIiJK\nbhwxExH1g5sAiIiIEg8rjRKJjR3DiYiISATsoExEI6UoCmqOijd3LwGosTmgKGK8Z41VYb4Jr60v\nU73bRaSsqpiBvMkZaodBRKQKyxSx739Tcw1qh0AqY/Jr8hKxM5askVA+V7yER1G0tLrx8tv16PQH\nYnK9Tl8PNr91hMmFI6BWF/qUFBlb15TAnC32uIOGtmJJIbSyGPdmrSxhyexJaodBREREFHFMLCQi\nugs3ARARESUmVholEhc7hhMREZEI2EGZiEbjqseHdo9P7TDCKADaPT60exLnvcacnYHt68rw7BMz\nhdlUOBoFeUYsXTBN7TCIiFRjNYudJG41T1A7BFIZk1+Tl4idseYX58JkYHHS/jjbOrClyoau7mBM\nr9vVHcSWKhucbZy3Ga5Yd6FP1+vwytpSFOabYnI9iq78HAMqHytSOwwAt4oETTaNUzsMIiIioohj\nYiER0V24CYBIPYqioO3aTdQ3uLBr/xls+9kxbP7xEWx6sw6bf3wE2352DLv2n0F9gwtt7ptMtCWi\nEWOlUSIxsWM4ERERiYAdlIloNOwqdzkdit2ZWJ00ZFmDZYsK8PqGhSh74J7b8zxizfb0T8KtDa4b\nKmdDlrlMT0TJyyp491mrmUkIyY7Jr8lNtM5YK8unC+8hEgAAIABJREFUqx2GkILBEHZUn0Snr0eV\n63f6erCj+iSCwZAq149HsepCX5BnxGvry5hUmGCeWmiN+r+dobBIEBERESUyrdoBEBGJJh42AWSZ\n9GqHQRRRbq8ftcccqDn6f9m72+Co7/ve+5+/diW0krXsGiFAlrTkYiXAjmlMKSBzdMA2yPLkwXXw\nuDY3YdJpOsz4gX1a6uCxPcEzJENnYsppnTO1w9Vpawcrnja122uOfQlxJYGoICA5lIoaBBKxFxaB\nkYKWleXVzd5cD7iEEUL3u/v77+r9muGB1sv+PomE9r//3+/7/QZGFPbeecs+Ienk2Wu3vy72uFS3\n2qfaVT669AGYkKFOo02nr5iOchudRjHT2X1i+LNPVDFRFACAGcDOE5T5vADYW3vQ7nsKN1X9sL2m\nriRDxXy3dm5bceve8smAGprHv7d8p9n3zVJvZCCtBeV5eQ7t3l6tshJ7T0ECgFSb63Gp2OOyXbNf\nS9Icj0vFHq6/ZzqKX2e2oclY7358znQUba1bqvJ5XDveyweH29Vm+HxX2+WQPjxyUc88Xmk0RyYZ\nmkL/4ZGLeq/hXFI/jzkdlrbWLdXGtYto5JKFHI4c7diyXC+92ZT2gmJLUgFNggAAQJajsBAA7sIh\nACB9Ll0L6/1DF3S0pWPUKUVj3UbsCkV0oKFV9Y3ntWZZqTZtqFLFfHdqwgLIGps2VKn5TIctJpHQ\naRTIjInhNPYAACD72XmC8nPr+cwwVYlEQp3dEbUHQ2oPhhS42qNIf1TRWFxOR45cs5zyLSiSv8wj\nf7lHcz0umkpg0gJXe0xHGNNnHWHTEVLK687Xc+sX69knqtQZiuhiMKT24E191hFW30BUg9G4cp05\nys9zamGpW/6y2fKXeVXsyVfb5ZB27W9Oy6HEQleudm+vZmoGAEiyLEt1q3060NBqOsowCUl11T6u\nB0HxK/T0Or+az1w1WrjGZKzRXboWVv1Be7yHvNdwTqsemk8B6CQMTaFf+eC8YeeFLI19PuhuQ893\n5Fh6dFmpNtcu5vuQ5cpKirR7e7Vefeuo+gdiaVuXJkEAAGAmoLAQAO7CIQAg9WKxuD443K76g61J\nKeyJxxNqOn1FzWc66EAGYFx0GgXshYnhAADANCYoZ5/ucJ8aTwTUcHz8CWYnz167/XWxx6W61T7V\nrvIxKRITFumPTvoAZLpYkvoGoqZjpIVlWSrxFqjEWzDh5oxVFV7tfbFG++pPpfTQeGW5Rzu2LOcQ\nIgDcoXaVT/WN523V3MORY6l2pc90DNgAxa9gMpa9vX/ogi0ayEpSNJbQTxvPa+e2FaajZJzpTqGf\n43Gprtqn2pXcw5lJqiq82vP8GpoEAQAAJBmFhQBwFw4BAKkVvN6TsoMa0VhC73x0VsdaOjioAWBM\ndBoF7IOJ4QAAwDQmKGePS9fCw7rd38tY9327QhEdaGhVfeN5rVlWqk0bqlQx352asMga0VjcdIQx\nDUbtnc+0spIivfFCjT48clHvNZxL6gFlp8OiER4AjMLrzteaZaVqOn3FdJTbHl1WSmECbqP4FUzG\nsqfucJ+OtnSYjjHMsZYOdYf7eA+ZoulMoafQemaiSRAAIFMkEgl1dkfUHgypPRhS4GqPIv1RRWNx\nOR05cs1yyregSP4yj/zlHs31uLi+gTEUFgLAXTgEAKTO+cANvb6/Wb19qS2Qbbsc0ktvNtE1CsCo\n6DQK2AcTwwEAgGlMUM58sVhcHxxuV/3B1qQUBcXjCTWdvqLmMx0UBWFcTpv/bOQ67Z3PDhyOHD3z\neKVWPjhvWHHyZJtQDj3fkWPp0WWl2ly7WOXzOIAIAKPZtKFKzWc6bDF1yumwtLl2sekYsBGKXyEx\nGcuOGk8EbFXwK0mxeEKNJwN6bj3vI9MxlSn0mLloEgQAsLPucJ8aTwTUcHz8icwnz167/XWxx6W6\n1T7VrmIiM9KPqx4AuAuHAIDUuHCpW6+9fSzlRYVDeiODevWto7pwqTst6wHIPEOdRmflOdK6Lp1G\ngeGGJobbERPDAQCYGTJhgjJGF7zeo+/+qEnvfpzcQ0SSFI0l9M5HZ/XdHzUpeN3eDTFgjmuWc1LF\nZ+mUkJSfR5/ZiaqY79bObSv0D9+r1beeWqI5npFF3dYdf+42x+PSt55aor//Xq12bltBUSEAjKNi\nvltbnlxiOoYkaWvdUn5vY4RNG6rkdNjj7jXFr+YMTcaqLPekdJ3Kco/2vlhDUeEYEomEGo4HTMcY\nwZLU0BxQImHXT4ZAdhpqEvTXO9ap5hsPKCfn1nv2ZN+5h57vyLFU840H9OafP6ZnHq+kqBAAMGmX\nroX1w5/8Rn/0/UYdaGgdUVQo3bpnP/Tnbl2hiA40tOqPvt+oH/7kN7p0jUboSB92kgDgLhwCAJIv\neL1Hu/Y3q38gltZ1+wdi2rW/WXtfrKGAB8A90WkUMI+J4QAAwDQmKGeu84Eben1/c8obWbVdDuml\nN5v4PId78i0oGtZV2G4WlrpNR8g4Xne+nlu/WM8+UaXOUEQXgyG1B2/qs46w+gaiGozGlevMUX6e\nUwtL3fKXzZa/zKtiT74syx7FBwCQKZ5e51fzmatqMzhFvLLco41rFxlbH/Y1VPz67sfnTEeh+NUw\nJmPZQ2cocs/D2aYldOsQeFeoT3O9I5uTAEitoSZB3eE+NZ4MqKF5/OlQd5rjcamu2qfalUyHAgBM\nTSwW1weH21V/sDUpnxXi8YSaTl9R85kOPisgbahOAYC7cAgASK5YLK599afSUrBzL72RQe2rP6U3\nXqjh4hrAPQ11Gt1Xfyqlhxcqyz3asWU5hc7AXZgYDgAATBuaoGzHZmNMUB7dhUvdeu3tY2lrZNUb\nGdSrbx3VnufXUFyIYfxlqZ1cMl3+stmmI2Qsy7JU4i1QibdA1Q+Xmo4DAFnJ4cjRji3L9dKbTWnf\nS7QkFbhytWPLcvYQMSqKXzFkaDLWygfn6f1DF3S0pUPxeGLS9xOGnu/IsfToslJtrl1M0egEtRv8\ndzgR7cFuCgsBg2gSBAAwIXi9J2VnDqOxhN756KyOtXRw5hApR2EhANyFQwBAcn1wuN3oRot0q6v8\nh0cu6pnHK43mAGBfdBoFzGFiOAAAMI0JypkneL1Hu/Y3p62ocEj/QEy79jdr74s1bODiNn+53fcU\nKIQFANhbWUmRdm+v1qtvHU3r9V1enkO7t1dzXYcxUfyKuzEZy5z2oN0LC2/SkASwAZoEAQDS5Xzg\nhl7f36zevtQ2CG27HNJLbzZp9/ZqGl8iZTgdBwB34RAAkDyXroVVf7DVdAxJ0nsN57Tqofl0+wMw\nKjqNAmYwMRwAAJjGBOXMEovFta/+VNoP9Q7pjQxqX/0pvfFCDYd7IUma63Gp2OMacZjYNEu3Di0X\nezisDACwv6oKr/Y8v0a79jen5Tqv0JXLgTxMGMWvuBcmY6Vf4GqP6Qhj+qwjbDoCAAAA0uTCpW69\n9vaxtH1G7I0M6tW3jmrP82u4l4GUoLAQAO7CIQAged4/dCGpU7+mIxpL6KeN57Vz2wrTUQDYHJ1G\ngfRiYjgAADCNCcqZ5YPD7Wq7bHZKQdvlkD48clHPPF5pNAfswbIs1a326UCDPRqsDUlIqqv2cWgZ\nyGKJREKd3RG1B0NqD4YUuNqjSH9U0VhcTkeOXLOc8i0okr/MI3+5R3M9Ln4nwNaqKrza+2KN9tWf\nSun1XmW5Rzu2LKdYC5NC8StGw2Ss9In0RyfdEDZdLEl9A6mdVAMAAAB7CF7v0a79zWltPCNJ/QMx\n7drfrL0v1nB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++JPf6I++36gDDa33vMZM3PHnbl2hiA40tOqPvt+o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\nW5ak4ZGE9h5p18Gd9dxjBoAsYDMtAGRPzoxl/upXvyq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d2rV5hWa5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8/f2zXI3DXfcMAcAeZJJrM2nNmjVasmSJoVa6dGktWbJE5cuXz7J9SEiIwsLC9OWXXxqO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\nUpKhPnr0aBUqVMi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4q7vvvlszZ86Uj49xvaFJkyYZVoxPx3USgPyIXDLasGGD/vOf/5gG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\nPsu2Tz31lEqUKGGoLV261O7VqSIiIjR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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + "\n", + " ##############################################\n", + "\n", + " # We also test the MPN annotations\n", + " import json\n", + " import pandas as pd\n", + " from mwTools.mpn_annotation_tools import plot_add_annotations\n", + " from mwTools.paths import p\n", + " p = p('isis')\n", + " mpnAnnotationPath = p.mpnAnnotationPath\n", + "\n", + " # Import annotations\n", + " with (mpnAnnotationPath / 'mpnAnnotFeaturesDf8_colList.json').open('r') as f:\n", + " colList = json.load(f)\n", + "\n", + " mpnAnnotFeaturesDf = pd.read_csv(str(mpnAnnotationPath / 'mpnAnnotFeaturesDf8.csv'), index_col=0)\\\n", + " .sort_values(['feature', 'start', 'end', 'strand'])\n", + " if len(colList) != len(mpnAnnotFeaturesDf.columns):\n", + " print(\"ERROR: manual column list does not have the same number of columns than the dataframe.\")\n", + " else:\n", + " mpnAnnotFeaturesDf = mpnAnnotFeaturesDf[colList]\n", + "\n", + " mpnPlot = mpnAnnotFeaturesDf[(mpnAnnotFeaturesDf.id == 'ncMPN014') &\n", + " (mpnAnnotFeaturesDf.feature == 'ncRNA')\n", + " ].iloc[0]\n", + "\n", + " xPad = 30\n", + " x0 = mpnPlot['start'] - xPad\n", + " x1 = mpnPlot['end'] + xPad\n", + "\n", + " fig1, ax = plt.subplots(figsize=(11,3), dpi=400)\n", + " ax.scatter(x=list(range(x0, x1)), y=np.random.random(x1 - x0))\n", + " ax.set_xlim([x0, x1])\n", + " ax.set_ylim([0, 1.5])\n", + "\n", + " DNAFeatList = [('ncMPN015',\n", + " [{'start':53 + mpnPlot['start'], 'end':56 + mpnPlot['start'],\n", + " 'fontPropDict':{'bbox':dict(facecolor='red', alpha=0.4, edgecolor='blue', pad=0.0)}},\n", + " {'start':3 + mpnPlot['start'], 'end':6 + mpnPlot['start'], 'highlightColor':'red'}\n", + " ]\n", + " )]\n", + "\n", + " plot_add_annotations(ax=ax, fig=fig1, mpnAnnotFeaturesDf=mpnAnnotFeaturesDf, ncRNA=True, idCol='id',\n", + " DNAFeatList=DNAFeatList)\n", + "\n", + " if savefig:\n", + " fig1.savefig('biograpy_test3.png')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + }, + "toc": { + "colors": { + "hover_highlight": "#DAA520", + "navigate_num": "#000000", + "navigate_text": "#333333", + "running_highlight": "#FF0000", + "selected_highlight": "#FFD700", + "sidebar_border": "#EEEEEE", + "wrapper_background": "#FFFFFF" + }, + "moveMenuLeft": true, + "nav_menu": { + "height": "12px", + "width": "252px" + }, + "navigate_menu": true, + "number_sections": true, + "sideBar": true, + "threshold": 4, + "toc_cell": false, + "toc_section_display": "block", + "toc_window_display": false, + "widenNotebook": false + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/src/biograpy/tests/factor7.embl b/examples/annotation_embl_format.embl similarity index 100% rename from src/biograpy/tests/factor7.embl rename to examples/annotation_embl_format.embl diff --git a/examples/biograpy_example.ipynb b/examples/biograpy_example.ipynb new file mode 100755 index 0000000..b064c96 --- /dev/null +++ b/examples/biograpy_example.ipynb @@ -0,0 +1,292 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib\n", + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.font_manager import FontProperties\n", + "import numpy as np\n", + "from pathlib import Path\n", + "\n", + "import biograpy\n", + "from Bio.SeqFeature import SeqFeature, FeatureLocation\n", + "from Bio.Seq import Seq\n", + "\n", + "savefig = True" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": 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7DG9F31a9zZPBrIo7nEBbkJ7qG4N65+ND+v8/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\na9OuJ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r8/TC7JRW5Wiu6JtlLxz8mbrytBd5d92P+Zoj1pmKI9k6goLdozuihICZR0dhuB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\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D1NB3MFLOsm9Qxn9svMDlnu71Sfjz5s+waEqq5tcwKj9ECFA8Jh5fX5yFxoZKNIYJ+IQ7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Z31y9\nX3Osqgk+f8D234SB2i0nnW9VVTBpVD4WXz7ppPmUVZuO4kBpva3rJHbMcfR+vdFF2bjkvJHIzkhG\neVUzWtp8UF2xBa2bMdemV4nbuq8KqzaX4u0NR7B6cyk+3vUl9h+tx4nmTrhVFzLTkvpcq54ydjDW\nbitHh8+c326dXgXyoSXnGBqriZz7MHOusKurC9XV1T3+FmlbkOhcog+AnMnKNl7/bVBdxn4kVFWB\n16Pi9qvPxCO3nIvczGRHReuL4HIBackew5+1bIYNTsdf3vpMzkG0QX6/hhXrSqCF9BIqaltw95Mf\n4bPDtZa+R79fQ21jB/769ufo8PkNB7t2+TV0+Lqz9v3yTxtQ19hu0ZF209MY23H5pqd48PPrp9u6\nMK9pGlasPWxb0HFf115/stPctnz2sgndhZ+IJasWzCzGxNH5UNUEPPmC6N9Ip7XVMmSOMIrZkuwR\nWpbdKis3lWJvSY1l59OO92AGu8sqtLR9PbEkwzkwsw9tZfsvw2cVq6bWTtz7x49Re6JdmoA9wJ6y\nWaKyfDmV0XMisuRQQW6q7f0vvTRsIvdJjGZqHlOUbfsGF6PZAE9+vIIFM0fgLw8uxM2LJgVLmLtV\n5aRrTnUpcH819irMS8UPF03CXx5ciAUzR0Q1P6Fn+5s4Mi/m8bye7e+Ju+ZGVYZdtutczyC85bMK\nTByVZ9mYV1UVTBqdL7zcoT7nFEv1jngS6/e6L3qGmtuvPhNejxr8Lkeqr7UOpxDZhsbCrjn4WPU1\nh2v1mEI2Zpxvs8jUtjqViD5/vPMHNJxo6cSg7FTb1nAibbeccr77y3hZ19iOD7cds72tEFUaXK+m\n9tx98/HwknOQ4vWYMgaLZq6tuc2HFetKsPjX7+O236zB7/++HW+v/wKb91Zg+4FqbN5bgbfXf4Hf\n/307bvvNGiz+9ftYsa4EzW09g+H0zMg5GV7T+v2hQddG+20i5z5IDomVIoak51KASaPzcetVp2P7\n/mq8sbYkotKchXmpuGz2aMybPjyYotbugBcn8qgqHrv9PDz8509Q19QOp8Y3+v2BuArO1BvK4QUZ\njkxrH9CA3SU1+PFj72PsiFy4lO7FrILcVIwpysapwyMrgRsJq9MYA4BHdeE//8X+EngiO2mRpNce\nmueBcgjmbQGLkMtgJgIrOLE8olmsLP3gUoDUZA/OPX0Iak60Y/v+Ku74/4qiAMlJbrR3djmiLQhX\nNkB2okr4JKJoyrJHyu5ANSveg1lElVWQ4Rw4pdysDJ9VLPTSYX96dae0426ry2bpi9JOaJ9lYeSc\niCw5JDIYrKyyyd4XloSqKrhs9mhDcwWnDs+2/feny69hTFHswT364tels0aivKoZh8obcKisARV1\nrfB1+eFxqyjMTcWY4dkYU2TePEqspa5UVYHb5cKSKyfjGzOiL2clY9/b79ew93Atbrp0Io7XtMR1\nuUOnLJjbxazvdW96kO55pw/Fmi1lMa11OIkTA6qdNgcfOodr15hCJlYE2sZClrbVqUT0+ROB36/h\ny+pmDB2Ujoq6FsvWzwCgMDcVl82JrN1ywvnur7xvRW0L7v3jx2hq7RRybCJLg9c3deD//d92tHV0\nmbZuE+lcm5HS9aHteH/lePWg6yde3Io9JTUxtaN60PU9106Lar4w3sst08AYtEfS8HrUHp3SosEZ\nMU1ccfKhf/qC+sihWXjirrl4dPkmHChtEH1YUalpaJe6g2eU3lAWDU7Hshe3mj5JaAdNA9o7/dh5\n8Os0uKGTTwW5qbhszijMm16M9Bgmn6wMIAIAj6pg2U/noDAvzdTnjYTsnbShuUlCdmRnpnvR1Npp\n6SAzEvou/Cde3IpHbjk3oSZT9F1I9/5hHeqbO0w5F6EDYX0n6XufHMVTr+xIqEnHcAIBICVZRYpX\nNe0zt4qqKpg4Mk945ohoMFuSvUKDvMwkKlBNNqIy9l46a6Twc6BpmmV9aLPbf9GfVSzqGtux7MWt\n2HOoxu49HIZ43Nb+totYlHY6I+fkkICy9ZoGHCprwDfPOUVYMNjHO7+09XVlEU2m5qLB6Sj4Kjuh\nXYxmAxyIoigYXpCB4QUZuGCaPZmqZQgkkrXvHdCAF9/dh/+4czYe/vMnlox5Zdj454QFczuZ/b3u\nTVSQrihOC6i2cvxgldA53ESsNmVVoG0sZGhbnUpEnz9RaACq61uRlebFiWZzf+MUdLdv//qDGZg4\nKi/idkv2891f8FVogLcobtWFssomHCxrwKHyBlTWtcLn81uWOEVn9VxbXVN72Lk2ff5pb5SBdV1+\nDV3+7ipxa7eX9zi3sgRdi5z7sGsMSv1j0B5JQQFw4yUTsGDmiJ5/j2HiKh4mHxRYk8Sq94J6bmYy\nLjlvJA6V75CqnFEkXArQIeHu3FjoDWWnLxB1J0RGke5uMMqKACIASE9x4z//5XwhAXuA/J20/Ew3\nstNUNLTY9/0rzEvF47fPwm9f2hbzzhcz+P0adh2qwU9/+yEmjc63bEAkIzt2IdmRSTN4DC5In222\npqEdj912Hv62cr8U139fZMocEQ1mS7JXaJCXWdeLyEA12a55URl7yyqbhJ8DvTSUVV/l0HKzvcev\nRjj5etV3ljc0dUgdsGdH2SwRi9KxUBRgTFEWFp59Cp7+xy7b2zyj50RE+Uy95JDIYLBE7JNEm6lZ\nURRcNmcUlr+515bvYjTZAGUmMpBI5uu8KxDAnpJaaTJvWEH2BXM7WfG91jQN5VXN/S6of/OcU+J2\n/shpAdVWjx+soM/hnj+1KCGrTVkdaBuLRAvSNYOIPn+0zFqzVRTY1g77NQ0LZ47Aqs1HLd2AHylZ\nz/dAwVcyBHgrCrC3pBa3/WbNgAHBfSVOiaR/Em59y+q2MhAAdh+qwcpNR7Hw7FOCfw+df4r1tUPL\n8YZeuzIEXVfWtQib+yA5MGiPpKAB+Mtbn5m6m8Tpkw+pKW4ke1ScaO60pRTDofITcOrQwOVSHBds\n2B9/QEN5dTPe++SooyYLjOpvd4NRZgYQKQAmjMzFz284S+hkqsgFqkgoioKzx6Vj1Y5GW7J+6ZOo\neVkpMe18scIXXzaitKLJ9EySsot1F5LeBA0bnIFkr4pX1hw8aWBoZSZNnT64AoA/vyFvORG3qqC6\noS34mf/h5R1S9XNkyxwRDWZLsp+RsuyRkL20vJ1EZezd/FmF0HPgpHKzTr1enVQ6zI6yWSIWpaOl\nuhTkZHjxy5vPRm5mMgIB4E+v7kLAxg6F0XMiqnymr8svNBgs0foksWZqnje9GH9963N0+a2/XqLJ\nBugEIrL9yXydhwa6y5B5wwqyLpiLYOb3urnNhzVbSrFi7eGIFnvjdf7ISQHVTi0tq8/hJmK1KacE\n0ItoW51KVJ/fKJfSPR9e19ge8/qTR3Whs8ueHeR+v4YPtpVh2U/nmJIMIdbNCLKcb6PBVzIEeGsa\n0NrRBcBYWdgbLh4PAFixLrr+iV1tpQbgj6/sxMRReSganGHJ/FN/5XhFBl0frxHTlosst0w9MWiP\npGF2uR6nTz6cO2kIvrdgnGXlB3t3ppz6eQU0QJV7fBaV7qh6ydM+mSTc7gajYg0gcrm6J+p+/K3T\npZhMFblAFakzRqbhg13N8Nu8OGJk54tdrMokKTsj56L3DkIF3d//ssomlFU2hR0YWpFJMzlJxbXf\nHI9p4wYHB1eapmHjnuO2ZPaLRiCg4WBpPS6YNhwLZo7Ahl1fYuu+KtGHBUDOzBHRcFq2pHhgpCx7\nJGQvLW8nURl7dx2sEXoOnFRu1onXqww7y42wo2yW3YvS0eprLmDS6DxbA/YA4+dEVPlMvYSvqGCw\nROqTmJGpOT3Fg8VXTMZTr+ywdCEp2myA1DfZr/PQQHfRmTesIMuCuWhmfa81TcPKTaV47vWe85FG\nFtTjbf7IKQHVTi4t6+vyx0W1KaPiNYA+kYnq8xvlcim4/uLx6PJrMQXzf/vCU/Hiu/ssPNKTVdS2\norW9S4rNCKLOd0FuKkYMyYwq+MqpAd564pTn3tjTI0uk0f5JR2eXbW2lpgFLf7cOT949F//v7zss\nK8db39wRthyv3UHXzW0+lFc1Wf46fdHnPkg8Bu2RNMwuL+X0yYfGVp8t5Qd1Tv28vB4XOnzOHFj3\np6a+PaEG2/3tbjBChjTGZhG9QBWJlCQXbl40Ac+8Zu2AJdwkaridL8drW7DzYDU6Bf42mJlJ0gn6\nOxcVtS04VtV8UumA3tdMfwNDM3cCThqd3+f5sCuzX7QCWveOvsL8NMybXoyhg9Kx40C10OOUOXNE\nNJyULSleGCnLHgnZS8tH/pzRl6vQicrY+2VNi7BzYHdpqFjHrzJfr+GuwfrmDhz5stGmo42dXWWz\n7FyUjka4uQAnlK4TUT4ztISvqGCwROmTmJmpecHMYny0vdyyDTixZgOkk8l+nfcOdI+3codOCZCw\nklnf67rGdix7cWvU2Xfidf7ICQHVmqY5urSsx606vtqUUQygj08i+vzR6PJrOHV4DoYXZMS0/rRp\nb4XQDXyi189EjfFmTizE4ismR/V4Jwd464x+2nr/5I8v74DH7bL1em1p9+Ff/vNDtLR3WdbG+f0a\n9pTUYNXmUiyYOcKaF4nQmi2lQl43dO6DxGPQHknFzPJSTp980LNdxZo9LNIFdSd+XqqqYFBOKsqr\nmkUfiqlcCtDh0CDKWAy0u8GIeJhMFb1AFan5ZxXh413WZSeLZBK1986Xssom3PabNaYfSzTMyiTp\nFKHn4oxTB2HZi1txrKo55onrSaPzcfc1U7F1X5WlbWFuZrIlmf3M0uHzB4MZZ08ZJqSclF6SXsZg\n51g5JVtSPDFSlj0SspeWH4iZ5bREbchp6+gSdg6cVm5Wxus1kmvQKewsm2XXorRRA/V/nFC6TkT5\nzN4lfEUEgyVCn8TsTM1WbsAxIxsgnUz26zxcoHu8lDt0SoCEVcz6XlfUtuDer8q2xfpRxuP8kewB\n1U4uLavP4VY4tHpSNBhAH79E9PmjEboBKZb1Jxk28IlcP5NhjGeE0wO8Y6UBtpVyDtXc1mX5awQ0\n4NnXduO804cKW9/Qry8RAfixfC/IfAzaI6mYWV7K6ZMPodmu7Mge5sTPy+1yoSA3/oL2gK+DIhKN\n2bsbnDyZ6pTBi4yLI7KVhjArk6STWDFxvfR3a/H4HbPxlwcXWroT0Mwst1bQgxlXby41vEPODNdf\nNB4zJxZKGexsBtmzJcUjI2XZB3wuB5SW74sV5bScuCEnFqJKQ8UyfpXpejVyDTqF3WWzrF6UdrmA\nwtw0+AOaqf0f2UvXiSif2VcJ32sWjMWjyzejpd1n6mR6f+OdeO2TWJmp2YoNOGZmA6STyXydm725\nRDZOCZCwglnf67rGdvziq3kPs+bC4m3+SMY5w1CyzR8aoc/hllWKKadnNwbQxzcRfX6jwm1Aimb9\nSaYNfCLWz2QZ40XKyQHeNLCuQABrtpRh0exRQl5f5PVl9HsRSWWYEQUpFh5xfGPQHknFzPJSTp58\nCJftysrdD077vPRU6EeONwovD2i2gAaoDjoXZpNhd4MMnDR4kW1xRMbSEGZmkpRBfx30rPQkbNx1\nHK0dXaYFH/eeuLZ6J2CsWW7tIOJoCvNScdUFYxx//fZH1mxJ8cxIWfYBn8sBpeV7s6qclqiMvSle\nNxpbOm17TZ2o0lCxjF9luV5jvQZlJKJsluWL0hlePHb7LORkeE3t/8heuk5kCd/emSdVF8wN2Btg\nvBOPfZJoMzUbKRufluLBwnNG4O/vH4Q/xh6z2dkA6WSyX+dmbi6RjRMCJKxg1vda0zQse3Gr6W0+\nEH/zR7LNGYaScf4wUvoc7sc7vxR9KJZjAH38E9HnN8rMTWEybeATQeQYLxpODvCmgfn9GlasK8Gl\ns0YK6XOJvL4i/V4YqQyT5Fbw86uGWnnYcYtBeyQVM3cxOnnyYaBsV1bsfnDS5xWaCv2DreWOCjaM\nhNfjQofP/nTDMhG9u0EGThu8mJmdLNZJVBG71SJhdiZJEUSWzetr4trKnYD9Zbn1BzTHTuxGy84y\ng6JZnS2JvhZNWfb+OKW0vM7KclqiMvYOzU9DTUObkHMgojRULONXGa5XM69BWYgsm2XXorTZ/R+Z\nS9eJKOG7aNaoPjNP+k0cokc63omXPolLAa6/eDyuuuBUQ31Jo2XjM1KT0Nbhi3l8YmU2QDqZzNe5\nmZtLZJOd4RV9CLYy+3u9clOppRse4mH+KJRMc4ahZJ0/jIQ+h+vE6klGMIA+Mdjd5zfK7E1hsmzg\nE0XEGC+WOW0nB3hTZCpqW1Fe1WxKFUijRF1fioIBvxfRVIZJcnPsHC2X6AMg6s2saH990OJEsaTq\njZZTPq/eqdCdFGwYCVVVMChH/vNgNX13g5bAvWF98OK2Ke2iGQE5enay268+E16PavjYVVWB16Pi\n9qvPxCO3nBv1ZIyo3WqR0DNJtrT5RB+KIZqm4b1PjuKmX72H5W/uDQaTdvk1WycGQyeu7aJnuX3u\nvvl46ufzcOd3p+D8qUW2vb4s7C4zKJKeLSkn3QvVZe5vsOpSkJ7ijrsNB9GKpix7fwZlp9i+WBHt\ne7C6nNbgnBQhGXtPPzVfSLDgmOHZjtutLiqwUr9erbgGRZOhbJa+KD1xZB5ibUL0Rcon7ppr6Vjd\n6nYv1nMyb3oxVJc905eqomDDri/x1Cs70OHzm/47anS8Y+W5sVNAA2ZOHBLxNWBk7OEPaMHz1NTa\nGfP4JMntwve/MRZ/eXAhFswcwYA9G8h6nZu9uUQ2H2wti7mdkknva0d1KcE5qcK8VPxw0STTvtfN\nbT489/puyzc8OHX+KBxZ5gxDyTx/2J/QOVynVU+KlBXnm+RmZ5/fCFVVMGl0vqmbwvRgWzvJ1q+x\ne4wXy5y2kwO8KTJuVcGh8gYhry3q+lKAfr8XdY3t+Nc/bbCSOQLnAAAgAElEQVRsboROJl8LSAnP\nrGh/PeDFiYOWWLJdRcvuAKFoqGp3WaDQLANOCTaMlNvliqv3Ewt9d0Mis3PwYlZAjp6d7C8PLsTN\niyYFr2e3qtg2iSpqt1qk9EySTiFbB13UxLWe2e+CacPxL9+fmlC/1SLKDIqmZ0vKyfBCNalvpPdj\n/vNfzsek0fmmPa+TmblRpa6xHa9+cNCU5zIimvdgRzmtl97bZ/vvVGFeKmZMKBQSLDimKNtxu9VF\nbD7SPysrr0FRFOCksaIoMi5KD8TKdi/Wc6KXz7R6XUtB9zhi39F6UwMx9DFQtOMdK86N3YzMcYke\ne3QFAnh34xE0x0mQjFPIeJ2bvblEJpqmYcXaw3GTZdelAKefmo8ZEwsxZewgzJhYiEvOG4k7vzsF\nT/18Hp79xXwsmj3KtPHsmi2l8AfsqZDitPmjgcgwZxhK9vnDcEIDUJya0EDE+Sa52dXnN8qKTWGi\nN/DJwM7zPSg3FR0xBGk7NcCbIqdpwKEyMUF7oq6vosHpYfvGFbUtuPvJj/DZ4dq4GS84gbTlcbdt\n24ZVq1Zh8+bNqKysRENDA9LS0jBo0CBMmzYN8+bNw9y5cy09hs7OTrz11lv4+OOPsWfPHtTV1aGt\nrQ05OTkYMWIEzjnnHFx22WUYPtx4kEMgEMDKlSuxdu1a7NixA7W1tWhpaUF2djaGDh2Ks88+Gxdf\nfDHGjRtnwTuTl9nR/vOmF0ubUjkckeXn5k0vxl/f+hxdfvk6IeFSocueOtsIPSjiyPFG7DhQHTcL\naNHSdzeISEksC33w8tQrOyztHFkRkKNnJ7t01kiUVzXjUHkDDpU1oKKuFb4uPzxuFYW5qRgzPBtj\nirJRNDjdtN892UtD6JkkL501UvqJJ1nL5okuoR1Pbc9ARJYZFM3KEj5Lr52Ge578KK4CZqJh1kYV\nPQCpsaXThKMyJpr3YEc5rb2HazHrjGGoPdFma7mR4QUZKMhNDWZFskOwNFROim2vqYtl/KpvPhLx\nWVl9DYqQlurBE3fNFR6wp9MXpc87fSjWbCnDG2tLIirvWZiXistmj8a86cNtD5aXtXQdYH35TJcL\nUBUX2ju6TG2XFQApXjf+9QczMHFUXtR9f7PPTWFemm07+o3Mcckw9ggEEMxaK9NvSiIw8zo3g4gq\nKHYpr2q2tf9hNUVRMHxwBhZfMdny19IDHu2aB3DS/JERIucMQ8k+fxhOkkdFh8+PtBSPkDFFLBQA\n82cWIyXJbfv5JvlZ3ec3yuN2WbIpTOQGPpnYdb4raltwz5Mf4fE7Zke1udWpAd4UOX9AQ4WgdlTU\n9VWQl9bn3+OxKodTSBe0V1lZiQceeAAffvjhSf/W0NCAhoYGHDx4EP/7v/+LqVOn4pFHHsHo0aNN\nP47Vq1fj0UcfxbFjx076t6qqKlRVVeHTTz/F008/jeuuuw5Lly6F2x3Zx7l161Y89NBDOHDgwEn/\nVl1djerqauzcuRPPPfccLrvsMtx///1IT7c365ooZkf7p6d48J35Y/HSe/tMe06riSw/Z1eAkBGq\nqsDtcmHJlZPxjRnFfQ7YZA42jFRoUMQHW8sdmSHSbPruhgumJUY5xnCsHrxYHZCjZyfTM5TZwQml\nIfRMkjIHpcrcQZdh4joe2p6ByFBmUDQ9W9KqzaV49rXd8AcChibWwvVj9Gwi9/5hHeqbO6SYjLSb\nmRtVRAUgRfMe7Cyn9cme43C5XIANv1P6GMbuoObQc9DWaf/vcSzjV1GfVUt7ly3XoN3Gn5IrZXCN\nLIvSkYq53XMpcKv9j9+joZfPtCLg3aUALkVBQIutrGpfNABtnV3428r9eOSWc2N6LjP7JOdMHoIf\nPLwS/oB97cNAZBp76Flrn3hxKx655dyE7QeLEOt1biYRVVDscrCsAW5ViZsNaHYutIoIeHTC/FG0\nRMwZhnLC/GFf2jq7erRRl80ZhT+/sQea5F9pfQ76J1efybaV+mRlnz8aE0flWVLBQOQGPpnYdb79\nfi2mTTlODfAmY3xdYtZ4RFxfLgUY0kfQXjxW5XASqcrjHjt2DNdee+1JAXuDBg3C+PHjMWzYsO5F\nh69s27YN119/PQ4eNLcM0muvvYY77rijR8Cex+NBcXExxo0bh5ycnODffT4fli9fjp/+9Kfw+QYu\nnbB+/XrcfPPNPQL2VFXFsGHDMH78eAwaNCj490AggNdffx0/+tGP0NycGCUirYj2/+78U+FxS3Wp\nhyVD+bkFM4sx0cKSbYoCJH11PsxKfS9r6uxI9Q6KcGpae7OJ3N0gE33wkpPuPen7Eqt4DchxwndI\nzyQpKyd00EWX0HZ62zMQs0raxQOrSvjo2UQmjsyL2+uoP2ZtVLErCK4v0bwHO8tp+TUNZ08stPz6\n6j2GmTe9GKrLnvGXfg6a23z4aFu5La8ZKtbxq4jPys5r0C6qS+lzwlEm+qL0BdOGY/EVk3H/zTPx\n8JJzcf/NM7H4ism4YNpwDC/IkKJPbqTdcyndWeoAICddxU2XjLeslJlVJXxTk93wB8wP2NP5/Rr2\nlNRg1ebSmJ/LrD5JRmqSLf3YSOe4ZBx7mHneyJhw17md/WWRVVDscKi8QfrgHqPsWmjVAx7tJPv8\nkZM5Yf6wL73bqHnT5a+MEK9z0GQ+K/r80XApQLFFwdJ6sK1d7YnM/ZrQ823l1EjophzNYCfIqQHe\nZIzHLSbjnYjry+VS+tyArG+Kl2VMnmikybTX0dGBW265BWVlZcG/LVy4EHfeeSfGjBkT/FtVVRWW\nL1+O5cuXQ9M01NbWYvHixVixYgUyMzNjPo5PP/0U9913HwJfTWKnpKTgrrvuwre+9a0ez799+3Y8\n+uij2L17NwDg/fffx+OPP477778/7HN/8cUXuP3229He3g4AcLvdWLJkCa699lrk5+cH77d//34s\nW7YMa9euDb7W0qVL8ac//Snm9yc7K6L9XS4XvjP/NLz4rtzZ9mQpP2fl7gbV1R0AsOync9Da3mVq\nlgHZUmdHSlW7B6yhQRFOS2tvJVG7G2RjRUamvq69eOGE75DsmSSdUDZPhhLasrY9ioKYFmHMLmkX\nL6zIlhSaTeSZV3ehsyu+AmnCMXOjiqgApGjeg4hyWvtL6zBxVB4+O1JnW8Zeu7J3h56DFetKgmN4\nO8U6frX7s0pNdtt6DdrF7Iz91G2gds/tUuAKtGJorgdDc5OQn+nGGWecAo/Huk2IZpeJHVecg4M2\nBK8ENODZ13bjvNOHmtL2mdEnkSmju6xjD7PPGxnT+zrfc7gGz7y625ZFJJFVUOxgV3lsO9m10Coi\n4FH2+SMnc8L8YTihbVR6igdFgzNQVtkk+rD6FM9z0GQNM/v80QoX1GIWOyu4yN6v0c/3fU+tx7Fq\n6zbohwY8L5g5IuLHOTXAmyKnuhQUWpBVMxKylMsWuSmeuqkPPfTQQ6IPAgCef/55/POf/wzevvba\na/H4448jNze3x/3S0tIwa9YsZGdnB4Pampub0dnZidmzZ8d0DH6/H7fccgtqa2sBdGfXe+GFF3DR\nRRfB6/X2uO+QIUNw5ZVXYuPGjaioqAAA7N69G/PmzeuRLS/U0qVLcfjw4eDt3/72t7juuuuQmtrz\nhyA/Px+LFi3CwYMHUVJSAgA4cuQIxo8fj1GjRsX0HqMRCARQWVnZ42/rP2+Cz+QfEVVV8P1vjMPY\nEbkD39mgU4Zm4c11JdJOSOjBbA8tOQepyeInAlO8bpwzeSjW7zyGji6/KZMRoRl7BuWkIivdi5FD\nszBtXAHmTinCBdOGY+6UIkwbV4CRQ7OQle41tPNDURRMGTsYa7eVo8NnzjFbzaUAk0bl46El52BQ\ndkrw74qiAAqwbV+VwKOTQ3FhJuZOKRJ9GFJIT/FgzpQiHCprQHV9K2K5xMNdewPpqz0oKCiAqorZ\nhRKO/h3adbBa2k6mpgFZGV4pr+/mNh8eeGaD9INRRVGQn5WCaeMKhB6DbG2P6gIunFGMY1XNUBQY\n+g6oqoIkt4pbrzoDiy+fJEWfREaKopjaj1EUBaOLsnHprFGoqmvF0Qo5J9rNoqoKJo3Kx+LLJ8W8\ny1fTNCz7n61oah0447mZon0P5VXN+Pv7Bwa+o4la2rrwL9+fiu37q0z/nepvDDN6WBZ2H65F7Yk2\nS34bQ88BAGHXgRnjVzs/KxHXoB0CGnD9ReORle4d+M5kWLh279zJhchUT6AwJwlpySoURbFlbJDi\ndWPe9OHIy07BzgPVMfV3huSnYfv+KnvGDAqQk5GMsSNyBr5vpE8ZQ5/Eyn6skTku6cceFpw3Mka/\nzk8dnoOczGRs+bwipvmQgbgU4NarzsD4U8yfn5bF6s2lqKh1XpBSOKpLwdSxg22ZG3h7wxHbM/7L\nPH/kdE6YP+xXSBu1bX8ljlW3iD6ik0Q7B03OY/a6QWiff/v+KgRs/pJaPcZM8qjISveyX/MVf0DD\nS+/ts3wNXwOw80A1LjlvJJI8kV2bmWlJWLOlDC1t9s45kX1Ul4KLzh2JkUOzbH9tEddXYV4qrv3m\nuB7zBO9+cgTbTJgb8bgVnDehZ5INGdeQZSRFzdDOzk4sX748eLuoqAi/+MUv+n3MddddhxkzZgRv\n/9///R9OnDgR03GsXr26R6ndH/7wh5g6dWrY+3s8HvzmN78JluzVNA3PPfdcn/f97LPP8PHHHwdv\nL1q0CBdddFHY51YUBY8++ijS07/etf/ss89G/F6cyMpo//QUD5ZccbqUKWxlLT9nZsk2PWPPE3fN\nDZa1sIIsqbMHoqoKvB4Vt199Jh655dw+z/u86cVSXq92Erm7QVZ6Rqbbrz4TXo9qOIV6JNdevLCz\n3Fy0ZM0k6ZSyebKU0Jav7VGQkuQ2vZQrWS8txYOl103D5NF5ppdDl4XZJXHKq5qFZEXISE2K6j2I\nKqdV3dBmSUnJ/sYwevbunHSv6ddz7+tI1HWgKoop41c7PysR16AdrMjYT3Izo0zsN2YUY8U6e7Of\nrlhXYrgck5WsKjlsZI5L9rGHjOctkS2YWYyJo/MtG3epqoJJo/OFV0GxmifCRWqnsDPjrs8nZh5H\n1vmjeOCE+cNwQtuogtw0qeYREmkOmqyj9/n/+uBCZKTau7HYjjEm+zVfs3NM0BUIYM2WsoHv+BW7\nyxmT/frKPGcXGcpl210ZhvomRW/0ww8/RF1dXfD29ddfH1E5jZtuuin4/+3t7XjrrbdiOo5XX301\n+P8ejwc33HDDgI8pLi7GhRdeGLy9atUqNDWdnB0j9LmB7oDAgWRkZODb3/528PbOnTuDmffijZkl\nssJZMLMYkyzsAEXDrmC2aDkxQMjMYEOzRBMUkZ7iwYghsZf8djKWueqbGQtUiRCQo5ebk+V3oC92\nlW8xwmkddFkmrmVqe/RgRr2c1HP3zcdTP5+HO787BZecNxIzJhZiythBmDGxEJecNxJ3fncKnvr5\nPDz7i/lYNHsUS38JpigKll43vXvxXPTFZDIrNqqICkC66oIxUb0HkeW0RGzIsSsYRNR1MHdakWm/\nmXZ9ViKuQav1NeFIiSOW/o6IgN+K2lbbMzQNROSGTaeMPWQ8b4nKzkD3eFaQmxpXYw07F1pFBTzK\nOH8UL5wwf9gfvY0aU5QtNAFAIs9Bk/XSU5PwvQVjhQa1WIH9mm52jwmi2ZTj5ABvGpjojaB2Xl99\nJdAStRmaenKLPgAAWLNmTY/bCxYsiOhxs2fPhtfrRUdHB4DuTHnXXHNNVMfQ0dGBDRs2BG9PnToV\neXl5ET32wgsvxKpVqwAAPp8Pa9euxSWXXNLjPqHvsaioCOPHj4/4uV944YXg7dWrV2P06NERPdYp\nVFXBxJF5lkf76x2ge578CPVNHUJL5aqqArfLhSVXTsY3ZhRL3WnSA4TOO30o1mwpwxtrS1BZ1wq3\nqkDT0ONzVF0KFKV7sqQwLxWXzR6NedOH2x4AoAcbrtpcimdf2w1/ICBkEjjJ48KZpw1CYW4axgzP\nxpiibBQNTo/4fE8elYcjXzZafJTyErm7wQn0BapLZ41EeVUzDpU34FBZAyrqWuHr8sPjVlGYmxrV\ntRcvFswsxkfby/HZF7XwS7YQJGsmSad10GWauJal7QF6BjMqioLhBRkYXpCBC6ZZk9GYzKUH79z7\nh3Wob+6Q7vcrWhNH5uGea6eZuolDRACSSwGq69uiemxlXavtY5DQrKSx/k5FM4bRg0GeeHEr9pTU\nxFRmQQ8G6X0diQpESzZ50daOz0rENWg1KzP2k3NE09/RA37t7K+5VQWHyhswvCBj4DvbSET7ADhn\n7CHreUtUVvSVVbV7YVu2KihWER3cYzY7F1r1gEc7+1Oyzh/FE5nnDweit1GnDs8WMgc1/pRcZKQl\nJfwcNFlv3vRi/PWtz9Hlt34Dt51jTPZrxIwJ9IDnSPv3eoD3U6/scGY5dQpLho2gdl1f4RJoiZgb\noZNJEbS3bdu24P8PGzYMQ4cOjehxSUlJOOOMM7B582YAwPbt2xEIBILlao3Ys2dPMPgPQI/SuwM5\n66yzetzesmVLj6C9yspKHDt2LKrnPuOMM5CUlITOzs7gcy9ZsiTix8vO7mh/KzpALheQkuRGSrIH\nNQ1tUgezxcJpAULhgg3toqoKbrpkIhbNHhX1c4wZngNVPeK4yQKziN7d4BQMyAlPpmDt3mTNJOmk\nDrqME9e9254X3tqLTp/95b5kCmak6JgZvCOLH1852fTJQhEBSAENUZfmlqGclogNOVYHg4gKRKuM\nMnizP1Z/VqKuQavYkbGf4pfI7KcyjttEtA9OGXvIfN4SlR2B7vFMVHCPFexeaBUR8Cjr/FE8kXn+\ncCB6G3X+1CIU5Kbauv5RmJeKf79jFgP0yBaig1qslOj9GqdsprI6wNvlAmyqEEwhZNkIavX11V8C\nrXisyuFEwoP22traUFpaGrwdaQY63dixY4NBey0tLSgrK8OIESMMH8f+/ft73B43blzEjy0qKkJG\nRkawLO6+fft6/Hvv20ae2+v1YuTIkcHj6/1cdugrRWxKUuxpOhUA2Zle/OsN05Hi0dDWZv6iR18y\nUxQ8essMPPv6Xuw/Wh9zB2jsiBwsuWIistO9OF7biiPHG/HFl42oaWiDrysAj9uF/OwUjByaiVOG\nZGJIXupXA5kutLV1mfa+7JSf6Ub+hHycPSE/7H3a29ttPKLwXADmTx+CC6cV4vCxRjz21y22dP6S\n3CrOnZQf03U9oiAFXrcCuBNv4Ku6FCw6r1ia64i6dXWd/JvV3t7e599lkeIBHv7RWXj0r1vQ2Nwp\n1cRb8eAU29q+SB0uq0VKkkuqzykct6pg1NA06T5D4Ou2p6LmBNZsPYaAzbvwh+R6pfxcyJgUD/Cv\nN07B2h1f4r/f2efohTW3quBgaQ0GZZk86RnoQqpXQHmKQFdU37FUryLkeFOTlJOON7SPbNcYZvbp\ngzHttDlYv+s4Vm4qRXVD+4DBIIOyk7FgZjHOO30IUpM9ffcNHXYdRMKqz0rUNWgF1aXgtOJszJo8\niG2eIE4cG4Sqa2iG16Oge3bKPrUNzVJfs3a2D04ae8h+3hJRaF/5xXcPIKAZDHR3KVBdLlz7zdMw\n58yhUBT75qZFy8tQUVyQipoG58+5mTH/asSIghQkuRUk2TxXK+P8UbyRef5wILUNzWhvb8dls4rx\nv+8ftCUBAOfuqTc7xgazTx+EDTtzcbDshCXfUZFjzETu14gYE6guBSVltf2ucffljqsm4OHnPzW9\nnVBdCjLTPFBcCupOdAz8ADKFSwFuvGQcXJLEa1h6faUn4farJvTZbps5N9JX/JCRUtSJTNEEf1IH\nDx7EpZdeGrx944034r777ov48S+88AIee+yx4O3nnnsOc+bMMXwc//7v/47nn38+ePuNN94wFFx3\n+eWXBwPq8vPzsX79+uC/vfjii3j44YeDt//4xz9i/vz5ET/3bbfdhtWrVwPo3vWzY8cOJCfbFyHf\n1taGzz77zLbXIyIiIiIiIiIiIiIiIiIiIiIi55kwYQJSUlJEH4b0hG+xrqmp6XE7Ly/P0ON737+2\ntjaq4+j9uNzc3KiPo76+HoGQHKZmvkdN06J+j0RERERERERERERERERERERERCSW8KC9xsbGHrfT\n09MNPb73/U+cOCH8OPx+f7BUrtnPDUT/HomIiIiIiIiIiIiIiIiIiIiIiEgs4UF7HR09a3MnJSUZ\nenzv+/d+vmiPw+v1Gnq8x+MJ+3yxPrdZ75GIiIiIiIiIiIiIiIiIiIiIiIjEcos+gNAysgCgqqqh\nx/e+v8/ni+o4/H5/TMfhdvf8KLu6usI+t8tlLFay97GEPrcdvF4vJkyY0ONvqqpCURRbj4OIiIiI\niIiIiIiIiIiIiIiIiOSgadpJcVFGk5klKuFBe70D0nqfyIH0vn/vjHeR6h105/f7DQXu9Q6kC32+\n3s/dO1BxIL3fY+/ns5rL5UJKSoqtr0lERERERERERERERERERERERBSPhJfHTU5O7nG7s7PT0ONj\nLT0b7nFGS9D2Pu7Q9xXrc/e+f+/PjIiIiIiIiIiIiIiIiIiIiIiIiJxBeNBeZmZmj9tNTU2GHt/Y\n2Njjdk5OTlTHkZWVZdpxuN1uZGRkWPLcQPTvkYiIiIiIiIiIiIiIiIiIiIiIiMQSHrQ3ePDgHrdr\namoMPb73/Xs/X7THUVtbG/Vx5OfnQ1EUS55bVVXk5uYaejwRERERERERERERERERERERERHJQXjQ\nXlFREVRVDd4uLy839PijR4/2uD1y5MiojqO4uLjHbSPHEQgEUFZWFvYYYnluoOd7HDZsGJKSkgw9\nnoiIiIiIiIiIiIiIiIiIiIiIiOQgPGjP4/FgzJgxwdt79+419Pg9e/YE/z8/Px+FhYVRHceECRN6\n3DZyHAcOHEBHR0fw9sSJE3v8+/jx43tk3gs95oE0NjaitLQ07HMTERERERERERERERERERERERGR\ncwgP2gOAs846K/j/VVVV+OKLLyJ63IkTJ7Bv377g7RkzZkR9DGPHjkVmZmbw9qZNmyJ+bO/7zpw5\ns8ft7OxsnHrqqVE99+bNmxEIBMI+NxERERERERERERERERERERERETmHFEF78+fP73H7nXfeiehx\nK1eu7BHQtnDhwqiPQVVVXHDBBcHbu3btwrFjxyJ67Lvvvhv8/6ysLJx99tkn3Sf0PVZXV2PLli2G\nn1tV1ZM+KyIiIiIiIiIiIiIiIiIiIiIiInIOKYL2zj77bBQXFwdvv/TSS2htbe33MV1dXVi+fHnw\ndn5+PubNmxfTcXznO98J/r/f7+/x/OFs3boV27ZtC96+8sorkZSUdNL9rrrqKrhcX3/cf/7znwd8\n7vLy8h5Be/PmzcOgQYMGfBwRERERERERERERERERERERERHJSYqgPUVRcOuttwZvV1dX48EHH4Sm\naWEfs2zZMpSUlARv33LLLX0Gy5WXl2Ps2LHB//oL7Js+fXqPErsvvvgi1q1bF/b+J06cwL333hu8\nnZqaih/96Ed93reoqAiXX3558PYHH3yAl19+Oexzd3Z2YunSpfD5fAAAl8uF22+/Pez9iYiIiIiI\niIiIiIiIiIiIiIiISH5SBO0B3RnqZs6cGby9YsUK3HrrrTh48GCP+x09ehT33HNPjyx4U6ZMwTXX\nXGPKcTz44INITk4GAAQCAdx6663485//jMbGxuB9/H4/PvroI1x11VUoLS0N/n3p0qX9ZsJbunQp\n8vLygrfvv/9+LFu2DNXV1T3ut3XrVnzve9/D9u3bg3/7wQ9+gPHjx8f8/oiIiIiIiIiIiIiIiIiI\niIiIiEgcResvnZ3NGhsb8YMf/AB79uzp8ffBgwcjPz8f9fX1OH78eI9/GzduHF544QXk5OT0+Zzl\n5eW48MILg7eHDRuGNWvW9Hsc69evx2233Yb29vbg3zweD4YNGwav14vjx4/3COIDgFtvvRV33XXX\ngO9x3759uPHGG9HQ0BD8m6qqGDp0KNLT01FRUYH6+voej7niiivw2GOP9SivS0RERERERERERERE\nRERERERERM4jVdAe0B2499hjj+G1117rtzyuoii47LLLcN999yE7Ozvs/aIJ2gOA7du344EHHsCB\nAwf6vV92djbuvvtufPe73x3wOXUlJSW4//77sXXr1n7vl5qaiiVLluDHP/4xA/aIiIiIiIiIiIiI\niIiIiIiIiIjigHRBe7p9+/bhrbfewoYNG4KZ7TIzMzFkyBCcc845uPjiizFhwoQBnyfaoD2guwzu\ne++9hw8++AC7du1CTU0NfD4f8vPzMXr0aMydOxeLFi1CVlZWVO/xo48+wurVq7F161ZUV1ejra0N\nubm5GDFiBObMmYNFixahoKAgqucmIiIiIiIiIiIiIiIiIiIiIiIi+UgbtEdERERERERERERERERE\nREREREQUb1hzlYiIiIiIiIiIiIiIiIiIiIiIiMgmDNojIiIiIiIiIiIiIiIiIiIiIiIisgmD9oiI\niIiIiIiIiIiIiIiIiIiIiIhswqA9IiIiIiIiIiIiIiIiIiIiIiIiIpswaI+IiIiIiIiIiIiIiIiI\niIiIiIjIJgzaIyIiIiIiIiIiIiIiIiIiIiIiIrIJg/aIiIiIiIiIiIiIiIiIiIiIiIiIbMKgPSIi\nIiIiIiIiIiIiIiIiIiIiIiKbMGiPiIiIiIiIiIiIiIiIiIiIiIiIyCYM2iMiIiIiIiIiIiIiIiIi\nIiIiIiKyCYP2iIiIiIiIiIiIiIiIiIiIiIiIiGzCoD0iIiIiIiIiIiIiIiIiIiIiIiIimzBoj4iI\niIiIiIiIiIiIiIiIiIiIiMgmDNojIiIiIiIiIiIiIiIiIiIiIiIisolb9AGQ3LZt24ZVq1Zh8+bN\nqKysRENDA9LS0jBo0CBMmzYN8+bNw9y5c0UfJhFRwvvkk0/w/vvvY8uWLaisrERTUxO8Xi+ysrIw\nbtw4zJgxA1dccQWys7MNPW9ZWRn++c9/YuPGjSgtLQqgZSEAACAASURBVEVdXR3cbjfy8vIwceJE\nzJ49G4sWLUJSUpLhY66trcUbb7yBjRs3oqSkBPX19dA0Dbm5uTjttNMwe/ZsXH755UhPTzf83ERE\n1NOnn36KG264AYFAIPi3/fv3G3oOtglERM6xb98+vPnmm9i4cSOqqqpQX1+PlJQUFBUV4YwzzsCl\nl16Ks846y9Bzsh0gInKO5uZmvPnmm9i0aRP27t2LhoYGtLa2Ij09HdnZ2Zg0aRJmzpyJiy++2PBv\n6/79+/H2229j06ZNOHbsWLCNycvLw5lnnok5c+Zg4cKFUFXV8HFb2dYQEcWb0tJS/OxnP8OOHTuC\nf1u9ejWKioqiej6n/r5zLEFEiczstmD37t145513sGXLFnz55ZdoaGiAx+NBVlYWxowZg+nTp+PK\nK69EQUGB4ee28ve6ubkZK1aswIYNG7Bv3z7U1dWhq6sLubm5GDVqFM4991xcccUVyM/PN/zcVlM0\nTdNEHwTJp7KyEg888AA+/PDDAe87depUPPLIIxg9erT1B0ZERD189tln+OUvf4m9e/cOeF+v14vb\nb78dixcvhsvVf7Ldzs5OLFu2DC+99BJ8Pl+/9x02bBjuv/9+XHDBBREds6ZpeOaZZ/DMM8+gtbW1\n3/vm5OTgZz/7Ga666qqInpuIiE7W3NyMyy+/HOXl5T3+HmnQHtsEIiLnaGxsxL/9279hxYoVA953\nzpw5ePzxx5GXl9fv/dgOEBE5h9/vx/PPP4+nn34aLS0tA94/LS0Nt9xyC374wx8OGITR3NyMhx9+\nGG+++WaPzUB9Oe200/Dwww9jypQpER23lW0NEVE8evnll/HrX//6pD50NIEaTv1951iCiBKdmW1B\nWVkZ7r//fmzcuHHA+7rdblx77bW455574PV6B7y/1b/XL7/8Mp544gnU19f3e7/U1FTceuutWLJk\nScTPbQf1oYceekj0QZBcjh07huuvvx67du3q8fdBgwZhxIgR8Hq9aGlpgR7vefz4cbz77ruYM2fO\ngBO9RERknnfffReLFy9GRUVFj78PHjwYp5xyCtLS0tDU1BT8vfb7/di4cSOOHDmCBQsWQFGUPp+3\ns7MTP/nJT/DGG2/0GKRnZmZixIgRyMzMRFtbG/x+PwCgqakJ77zzDk455RScdtpp/R6zpml44IEH\n8F//9V89BumpqakoLi5Gfn4+2tvbg//W3t6O1atXIyUlBVOnTjX+IREREX71q1/hk08+OenvP/nJ\nTwZ8LNsEIiLnqKqqwtVXX41PP/00+DeXy4XCwkIMGzYMPp8PHR0dwX87evQoPvjgA1xyySVISUnp\n8znZDhAROYfP58Mdd9xxUmBEUlISRowYgaFDh540V+Tz+bBx40bs3bsX3/zmN8MG7p04cQI333wz\n1q5di9A8EDk5OTjllFOQmpqK1tbWYFtRW1uLt99+G1OmTBlwwdDKtoaIKN7U1dXhnnvuOakPrbvx\nxhuRmZkZ8fM59fedYwkiSmRmtwVbtmzBtddei8OHD/f4e25uLkaOHInMzEw0NzcHf8sDgQB27tyJ\nrVu34tJLL+1384/Vv9dPPfUUHnvsMbS3twf/5vV6MXz4cAwePBidnZ3o7OwE8PXYp6GhQapqosy0\nRz10dHTg29/+Ng4cOBD828KFC3HnnXdizJgxwb9VVVVh+fLlWL58ebATN2TIEKxYscLQDwAREUVn\n165duOaaa3p0cL71rW9hyZIlGDlyZPBvzc3NeOWVV/C73/2ux+6FX/ziF/j/2bv3MKvKenHg37nB\njMBwExFB8AaKpkYpqImWgnI0rcyjp9TMLO2YdqyfQIoleTmooB4VtWMXb2maYiZieEdIBfWEJ69o\nHFAZFUiQgWFuzOzfHxOr2XNjBpg9bubzeZ6eZ7/r8vJOj9/13e9e3/Wub3/72032ffHFF8f999+f\ntPfcc8+48MILY9SoUckKfevXr4+ZM2fGVVddlTy5nZ+fH/fcc0/sv//+zY77lltuif/6r/9K2gMH\nDoyLLrooDj/88CgoKIiIusn8k08+Gf/5n/8ZK1euTI694YYb4uijj27N/z0A/MMzzzwT3//+95vc\n15qV9uQEgOxQVlYWp5xySrz55psREZGTkxOnnnpqfOc734mddtopOW7+/PkxderUeO2115Jtxx57\nbFx77bVN9isPAGSPq666Kn7zm98k7YEDB8aECRPiiCOOSHvd4Pr162P27Nkxbdq0+Pjjj5PtZ555\nZkyYMKFRv6lUKs4888x47rnnkm0jR46M8ePHx3777Zds++STT+L3v/993HDDDcnvVd26dYuHH364\nxcKO9sw1ANuSOXPmxKRJk+Lvf/97sm3HHXdMe6i/LasrZfP13VwC6Ky2di4oKSmJ448/PtatW5ds\nO+KII+Lcc8+NffbZJ9lWWVkZs2bNiqlTp8aqVauS7aeddlpcfPHFzfbfntfrhx9+OMaPH5+0e/Xq\nFT/5yU9i3LhxycOpNTU18fzzz8fll18eS5cuTY6dOHFifOc732np/5qMUbRHmltvvTWuueaapH3K\nKafEz372s2aP/+1vfxuXXXZZ0j799NPjoosuatcxAhDx1a9+NbkhF1E3AT7ttNOaPf6VV16JU089\nNZlU9+zZM+bOnRuFhYWNjjv55JOT9mc+85m45557ml3e+LXXXotvfOMbyVMK++yzT8yYMaPJVfxK\nSkpi3LhxybEDBw6MGTNmRO/evZvsu6SkJE444YT45JNPIiKif//+8dhjjzW7CggA6VatWhXHH398\nMtEdMWJELFy4MNm/qaI9OQEge1x77bXx3//930n76quvjq985StNHltWVhbf/va3096w8Mc//jH2\n2muvtOPkAYDssXz58jjiiCNiw4YNEVF34+7BBx9s8c047733Xpxwwgmxdu3aiIgoKCiIZ599ttE5\ns2bNih//+MdJ+4gjjoibbropKbho6Omnn45zzjknedh/zJgxcdNNNzV5bHvmGoBtRSqVismTJ8e9\n996bbOvZs2dcfvnlsWjRopg+fXqyvS2FGtl6fTeXADqj9soF55xzTjz11FNJ+4wzzoif/OQnzR7/\n7rvvxr/+67/GmjVrIqJuDvHEE0/EgAEDGh3bntfrdevWxdixY5MCwuLi4njggQdiyJAhTfa9du3a\nOOGEE+K9996LiIiioqJ4/PHHY4cddmj2b82UprMunVJVVVXcdtttSXvQoEFx4YUXtnjOqaeeGiNH\njkza9913XxKgALSPF198Ma1g77DDDmuxYC8i4rOf/WyccMIJSXvNmjVNvirxF7/4RfI5Nzc3pk2b\n1uxEOqJusn3WWWcl7ddffz3mzZvX5LG33XZb8sUsIuLyyy9v9otZRN2Xt4kTJybt5cuXx0MPPdTs\n8QCkmzx5clKwd+ihh8YXvvCFNp0vJwBkh+XLl8cdd9yRtE877bRmC/Yi6lbFmDhxYuTk5MSgQYPi\nS1/6UtoT2hvJAwDZ48knn0wK9iLqVs1rqWAvImLw4MHx9a9/PWlXV1fH008/3ei4+kXh3bp1iyuv\nvLLZgo6IuqKPr371q2ljW7x4cZPHtmeuAdhWVFVVpRVpHHjggfHHP/4xjjrqqC3qN1uv7+YSQGfU\nHrng/fffT/v+P2zYsLSV65oyZMiQ+O53v5u0m5tDRLTv9fr+++9PW/FvwoQJzRbsRUT06NEjLr/8\n8qRdXl4ed955Z7PHZ5KiPRJz5sxptJTlxiUpW1L/9YoVFRUxa9as9hgeAP/w7LPPprW/8Y1vtOq8\nsWPHprVfffXVtPaqVati7ty5SftLX/pS2qt2m/PNb34z7TUrDz74YKNjNmzYEA8//HDSHj58eBxy\nyCGb7PvLX/5ybL/99i32DUBjf/zjH+Oxxx6LiIiuXbvGpEmT2nS+nACQPe6///6oqKiIiLonhc85\n55xNnnPAAQfEK6+8Ek899VT84he/iEMPPTRtvzwAkF2WLFmS1j7ggANadd7nP//5tHb9V0ZF1BVN\n1F+h++tf/3r07Nlzk/3Wv2cQ0fQ1uz1zDcC2KC8vL84777y44447mlzRqC2y9fpuLgF0dlszF8yb\nNy/qv5j1pJNOiry8vE2eN2bMmLR2w/vNEe1/va6/ffvtt2/x4dWNRo0aFXvvvXfSfuihh6K2tnaT\n57U3RXskGlbAtrYqd/To0WlPR9RfPhOAre+ggw6K8847L/7t3/4txowZEyNGjGjVeQMHDkxrf/zx\nx2ntOXPmRE1NTdJubR7o27dvfPazn03azz77bNrT3RER//M//5O2EmvDL3TN6dKlSxx22GFJ+9VX\nX40VK1a06lyAzuqjjz5Ke2rsRz/6Uey2225t6kNOAMgeG4u0I+qu13369GnVeYWFhc3ukwcAskt1\ndXVau6XVjOpr+Kqphv1s7j2DvfbaK+13qKbuGbRnrgHY1gwcODDuuuuuOPfcc1tVULEp2Xp9N5cA\nOrOtnQuGDx8e559/fpxyyilx9NFHx8EHH9yq8xq+erfh/eaI9r1eL1u2LN5+++2kfdhhh6UVfbfk\nyCOPTD6vXLky/vrXv7bqvPakaI/EX/7yl+TzwIEDY6eddmrVeV26dIn9998/aS9cuPBTUZEKsK0a\nPXp0nHvuufHzn/88brrpphaXEq5v3bp1ae38/Py0dv08EFG3tHJr1X9V+vr16+ONN95ose/6x29K\n/XGkUqn4n//5n1afC9DZpFKpuOiii6K0tDQi6q6hp59+epv7kRMAssN7772X9kPlF7/4xa3SrzwA\nkF0a3jgrKSlp1XkrV65Maw8ePDitXf+a3fA+wKbUv74vWbIk7S0/DfuO2Lq5BmBbUlBQEA899FCj\n1VG3RLZe380lgM6qPXLBiBEj4t///d/jZz/7Wdxwww2xxx57tOq8hvebmyogbM/r9dbqOyLi5Zdf\nbvW57UXRHhFR987m9957L2kPHz68TefvueeeyeeysrJ4//33t9rYANg6Gr4qpeEPuvWXwy8uLm60\nMl9L9tprr2b7aqrdljzTsO+33nqr1ecCdDZ33313PPfccxERsd1228WUKVMiN7ft0z45ASA7vPba\na2nt+itTbAl5ACC7HH744WntOXPmtOq8F198Mfmck5PTqJ/61+zdd9+91StYRGz6mt2euQZgW5Kb\nmxvFxcVbtc9svb6bSwCdVXvkgs31f//3f2ntnXfeudEx7Xm93tZygaI9IqJuCcn676tuyxeoiMaF\nH+++++5WGRcAW8/DDz+c1h49enRau37B9dbOA/X7Li4ujh49emx23/WLzAH4p6VLl8a0adOS9k9+\n8pMmJ8ytIScAZId33nkn+VxUVBQDBgyIiLoHKmfMmBFnnnlmjBkzJvbbb7848MAD48tf/nJceuml\njZ5KbkgeAMguw4YNS3v94H333Zc8zNOc559/Pu23omOPPTZt/rB+/fq0V121Zz5wPwIgc7L5+m4u\nAdDxNnW/OaJ9r9cNFxBrS67p2bNn2lg+Dbkgf9OH0Bn8/e9/T2v37du3Tec3PL6p91YD0HFeeOGF\ntB9rDznkkNh9992Tdk1NTXzyySdJu615oE+fPmnthnmgfrvhsZtSXFwcBQUFUV1dHRGNcxYAddfx\niRMnRnl5eUREHHbYYXHyySdvdl9yAkB2WLx4cfK5f//+kZOTE88//3xMmDCh0SsPKysro7S0NN55\n5524++6744tf/GJMmTKl0bVYHgDITj//+c/jnXfeiSVLlsSGDRvi7LPPjpNOOimOPfbY2GOPPaJb\nt25RVlYWixcvjkcffTTuvffeqKmpiYiIoUOHxk9/+tO0/hpev7dmPmjvXANA87L5+m4uAdCxFi9e\nHA899FDS3mWXXeLQQw9tdFx7Xq/r911QUNCmgsCIuty0du3aJvvuCIr2iIiI0tLStHb37t3bdH7D\n49esWbPFYwJg61i1alVMmjQpWVE1Pz8/JkyYkHZMaWlp2oqr3bp1a9O/0TAP1J+YR6TnhbbmmI3j\n2dinHAPQ2K233hqvvPJKRNQ9LXb55Zdvdl9yAkD2qH+N7datWzzxxBPxwx/+MGprayMiolevXjFg\nwICorKyMDz74ICoqKpLj58yZEyeddFLcc889scMOOyTb5QGA7NSnT5+477774tJLL41Zs2ZFdXV1\n3H333XH33Xc3e05+fn585StfiQsvvLDRza6G19itmQ/aO9cA0Lxsvr6bSwB0nPLy8hg/fnxUVlYm\n2y688MLIzW38gtf2vF7Xr23a3L43+jTkAkV7RESkBVZERJcuXdp0fsPjG/YHQMdYt25dnHXWWVFS\nUpJsO++882L48OFpx1VVVaW1u3bt2qZ/p2EeaNhf/XZb+27YvxwDkO7NN9+Mm266KWn/9Kc/jf79\n+292f3ICQPYoKytLPpeWlsZFF10UtbW1cfjhh8e5554b++23X7K/oqIiHn/88bjmmmvio48+ioi6\nV4r86Ec/irvuuiv5kVUeAMhePXv2jKlTp8bBBx8c11xzTaxatarZYwcOHBjnnXdeHHfccZGf3/hW\nUcNr7NbMB+2dawBoXjZf380lADpGdXV1/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S69jAbi/QmjVJkvwUFxdXwxED1Y/PAoA8ACTyAKgoB1A+lscFAAAAAABe6ciOI/rx8I8KDQrV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\nNm/erJiYGF29elUpKSk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/bswbp163Tuw8rKCh06dMDg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ZyhaA93zDCM/D4EIN+RA7iCpKQk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\ncoDCIDY2Vv379zdP9hQrVkwPP/ywwsLCVL58ed28eVNHjhxRRESELl++b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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + " fig1, ax = plt.subplots(figsize=(10,3), dpi=300)\n", + "\n", + " ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200))\n", + " ax.set_xlim([0,1200])\n", + " ax.set_ylim([0,2])\n", + "\n", + " # We use the package biograpy to create Panel, tracks, and features\n", + " panel = biograpy.Panel(fig1)\n", + " track = biograpy.tracks.BaseTrack()\n", + "\n", + " # Simple feature drawn as a rectangle\n", + " track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300))\n", + "\n", + " # Gene feature drawn as an arrow\n", + " genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1)\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1'))\n", + "\n", + " # Simple feature with color\n", + " track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r'))\n", + "\n", + " # Gene feature with color\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r'))\n", + "\n", + " # Very short gene feature (to test the arrow head automatic sizing)\n", + " genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1)\n", + " track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short'))\n", + "\n", + " # mRNA with one CDS drawn as a shaded rectangle with an arrow on top\n", + " CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1)\n", + " mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandm', ec='k')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # mRNA with CDS, custom color\n", + " CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1)\n", + " mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # Very short mRNA with CDS (to test the arrow head automatic sizing)\n", + " CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1)\n", + " mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1)\n", + " mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_very_short')\n", + " track.add_feature(mRNAandCDSfeat)\n", + "\n", + " # Gene feature on minus strand\n", + " geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1)\n", + " genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm')\n", + " track.add_feature(genefeat)\n", + "\n", + " track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80))\n", + "\n", + " panel.add_track(track)\n", + " panel.add_track(track2)\n", + " if savefig:\n", + " panel.save('biograpy_test1.png')\n", + "# panel.close()\n", + " else:\n", + " panel._draw_tracks()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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4nnWMS7x24HicOz+adQyAivZpQVIe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\n7AixORQAAAB4Smeb31JFnp1hv+kIAPLgzoNp9Q/Ed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jY2bzfaEFAFB42i526/q9QSNz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\nMbSJzcAAAEAvcUN0X5effVSOPmRup9OAEXVjF96P3rUxb33Jyhw4y61IgMm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Ms6RY7jqdEglzF3Tt8xnWrSpEkxffr0OOOMM+LRRx+N3Xbb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\nkMduUYKdh9jRpzJZONeHied+yYy+TLDyVJP63N5iCfYT2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maSwtwNPT3XefCepr2zaw9S+9VPI4LDpx4szMoqGyCvK067Bs3SpF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\nKnXfPsmxC1Cr1qVz4evf5MnO+/f2mZjo6Gin7y1JmmGWD2sYO+iiHR3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7q7tvOX5AmTYZ4wafNrk2uYpwJsoapOSXL3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\nAAAAAAAAAAAAAAAAAGAF/j8bWGSXfQFG4wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + " \n", + " ##############################################\n", + " \n", + " fig1, ax = plt.subplots(figsize=(11,3), dpi=400)\n", + "\n", + " ax.scatter(x=list(range(0, 100)), y=np.random.random(100))\n", + " ax.set_xlim([0,100])\n", + " ax.set_ylim([0,2])\n", + "\n", + " # Create panel and track\n", + " panel = biograpy.Panel(fig1)\n", + " track = biograpy.tracks.BaseTrack()\n", + "\n", + " # Text sequence feature\n", + " track.add_feature(biograpy.features.TextSequence(\n", + " 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL',\n", + " start=10, name=\"TextSequence1\"))\n", + "\n", + " \"\"\"\n", + " Pretty text sequence feature allows to pass a text sequence together with a list of regions\n", + " to highlight. The font size is calculated automatically to fit the scale of the x axis.\n", + " \"\"\"\n", + " \n", + " prettyTextFeat = biograpy.features.PrettyTextSequence(\n", + " 'KSKDFQVNAYDRNMKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY',\n", + " highlightList=[{'start':0, 'end':10, 'background_color':'red', 'background_color_alpha':0.4, 'weight':900},\n", + " {'start':20, 'end':25, 'foreground_color':'blue', 'weight':100}\n", + " ],\n", + " start=20, name='PrettyTextSequence1')\n", + " track.add_feature(prettyTextFeat)\n", + " \n", + "\n", + " \"\"\"\n", + " Alternativley, pretty text sequence feature can be passed a list of (char, propArgsDict), where propArgsDict defines\n", + " all the matplotlib text properties.\n", + " \"\"\"\n", + "# prettyTextFeat = biograpy.features.PrettyTextSequence(\n", + "# list('KSKDFQVNAYDRN') +\n", + "# [('A', {'fontproperties':FontProperties(**{'weight':'bold'}), 'size':20}),\n", + "# ('A', {})] + list('CGIALAVTE') +\n", + "# [(c, {'bbox':dict(facecolor='blue', alpha=0.4, edgecolor='none', pad=0.0)}) for c in list('ATGCATGC')] +\n", + "# list('KSKDFQVNAYDRN') +\n", + "# [(c, {'color':'red'}) for c in list('ATGCATGC')] +\n", + "# list('MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY'),\n", + "# start=25, name='PrettyTextSequence2')\n", + "# track.add_feature(prettyTextFeat)\n", + "\n", + " panel.add_track(track)\n", + " if savefig:\n", + " panel.save('biograpy_test2.png')\n", + "# panel.close()\n", + " else:\n", + " panel._draw_tracks()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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l5NfORMRMHU/grOzqOBL3/fnPJ0VRYcSxqTYbt/32zF8I\nAMAoae5SDQBUhtXLGqOqKl0bSLNVmVh9XWPSMQAARnh+4+4YzqfrPs54umPN1bHgEhuRYSIc6sml\nblJ8xLEisMM9uTjcM5B0FM5Bfe30WLFkftIxzluhUIzNb7wbX1+/Kf7q5T2RzxeSjgQwrhYvrI9H\n7lpRsn28M2umxCN3rYjFC+tLcj3Sze7tBNx8882xcePGuPvuu+PKK8fu1nPxxRfHl7/85fjRj34U\njz32WHzsYx8rUUoAoJIc73gybWq2pNfV8QTOzu693fHg069G/8Bw0lHG1Zu/6Yu+XOm6LAEATAZp\n71JdLE7ejXIAwO+kcUPiDUvmm54MAKRKd+9AbNnelXSMCbNoQV3c/Lkrko4Bk1Z7ypsOt3d2Jx2B\nc3TbqsVRnU1Xk6BzNZwvxvd+vCO+9eTm6DzYl3QcgHG1eGF9PH7Pyli0oG5Cr7NoQV08fs9KRYWc\nUJ10gHP1gx/8ILFr79q1a9zOVV9fH1/72tfia1/7Whw4cCB27NgRv/3tb+PIkSMxY8aMuPjii2Ph\nwoVxzTXXGBUOAJTE8Y4nD21oi/7c0IRfb2bNlHh43XJvTuAMOg/2xUMb2uLo4OQrwCsUI/772/3x\nTz9Zm3QUAICyUQ5dqufU1yQdBwAogdtWLY62N7tSMYGnOpuJ21eP3dQXAKDUWl/viEIh+ddK4y0T\nETNqpsS9a5dGNmu2BUyU9s60Fxa+H8s/la6GM4xt4bzaWPvFq+L7P3kr6SgXbM++nrjvic32ngGT\nTsPcWfHdu1fGi6+8Hc+2vDWu916rs5m4Y83VcfPnrvA6nhHKrrBwMpo3b17Mmzcv6RgAMCkVi8U4\n1J2L9s6eaO/siY79fZE7OhzD+UJUZ6uiZlp1NF46K5oa6qJpQV3Mqaup6KL+4x1P1jdviz0T2Pls\n0YK6uHftUpMK4Qzy+UKsb95WkmLfpPyyvT9WXjOrIn73WpMAgPFQDl2qFRYCQGVI04bEO9ZcHQsu\ncb8ZAEiPYrEYLa91JB1jQkydmo2H1y33vB8mWMf+dE9je6erN+kInIcvf74p2t7cP6H7wkqlPzcU\nDzy1JR65a4XiQmBSyWar4pYbF8V1n7gknt+4O7Zs74pCoRiZONbs9Wwd//psVSZuWDI/bl99pXuo\nnJLCQgBgUuruHYjW1zui5bWOUZMcTi7RKEbE1h0HTnw8u64m1lzfGKuXNUZ97fTShE0ZHU8gPV7Y\n1D4pbuaOpffDfPR+mI+LZk7et6fWJABgPOlSDQCkSRo2JC5aUBc3f+6KxK4PAHAqh3pyo54LTQYz\na6aYDgUlkjs6fM4FBKWSiYiBweGkY3AestmquHft0rjvic2Tosn10cF8PLShLR6/Z6WCd2DSWTiv\nNu7/6rXH9p5t7YiWttF7z8ZycV1NrFneGKuvs/eMsU3enZsAQEXae6B3RIeOUxnrhtvhnlw807Iz\nmlt3xYol8+O2VYtj4bzaiQmbYjqeQPL2HuiN5pd2Jh2jJLqODE3KwkJrEgAwEXSpBgDSJMkNiZmI\nmFEzJe5du1QjOwAgddonYfPQRQvq4t61SxVuQIkM5wtJRxjT0HC683F6DXNnxcPrlscDT22Jo4P5\npONcsP7cUKxv3hbfvXul+wPApFRfOz2+8oUr49abFsehnly83dkTr7/xduw79GEMDhcjny9GNpuJ\nGdOq45OLL4umhouiqaE+ZtdNj0wmc+YLUPEm385NAKAi5fOFeGFTezS/tHNcJuwVCsXY/Ma70fZm\nV0VP2DubjicfnbZ1Mh1P4Pw9v3H3uE4MTbOuI4Nx9YKapGOMG2sSADCR0tylOiLi17/5bdz/5Oao\nzlZFzbTqaLx0VjQ11EXTgrqYU1fj4RUATEJJbUicOjUbD69bbmM7AJBK7Z2Tp7CwOpvxjAoSUJ3y\nn7cp1enOx9gWL6yPR+5aEQ9taJsUkwv37OuJF195O265cVHSUQAmTCaTibn1M2Ju/Yyon9Ib/f39\nIz4/c+bMuOqqqxJKRzlTWAgAlL3Og32xvnlb7JmAjn/D+WJ878c74tXtXRXdee9UHU/aO9+Pd7p6\nY2BwOIaGCzGluiqmT62Oy+fX6ngCF6i7dyC2bO9KOkbJvNdT/jepj7MmAQATLe1dqvtzQ7HznSMR\ncaz4ceuOAyc+N7uuJtZc3xirl2k+AwCTTak3JM6smRIPr1seixfWT/i1AADOR8f+vqQjnLfjTa2y\nVZm4Ycn8uH31lbHgEs+loNRqplWntsFcMSKmT7UFvdwtXlgfj9+zcsL2OJTasy1vxbJr5lmzAOAc\neVUHAJS1XR1H4tsb2qJ/YHhCr7NnX0/c98Tmit+ocHLHk+Wfmp90HJi0Wl/viEIhrY8Ixt/g8OT4\nb7UmAVAsFuNQdy7aO3uivbMnOvb3Re7ocAznC6a3MW7S3qU64vTTFA/35OKZlp3R3LorViyZH7et\nWo8h/fsAACAASURBVBwL59WWNBsAMHFKtSFx0YI6TZcAgNTLHR0+UaCXVsfvTH4048V1NbFmeWOs\nvk5zKEhS46WzRjRuS5vL57u3Oxk0zJ0V3717Zbz4ytvxbMtbMZxP88o1tuF8MZ5r3RX3f/XapKMA\nQFlRWAgAlK3de7vjwadfjaOD+ZJcrz83FA88tSUeuWuFQg4qjk3ypVMsFqPltY6kY5RUvoxvTB9n\nTQKobN29A9H6eke0vNYRh3tyIz538isi09sYD2nuUn22CoVibH7j3Wh7syvuWHN13Py5KyJbBgWT\nAMCZTeSGxOpsxmsHAKBsDOcLSUcY04zp1dE4rzamVFfF9KnVcfn82mhquCiaGupjdt10z3ohBZoa\n6pKOMKamhouSjsA4yWar4pYbF8V1n7gknt+4O7Zs74pCoZj6AvlTeXV7V3T3DnjuBgDnQGEhAFCW\nOg/2xUMb2kpWwHHc0cF8PLShLR6/Z6VuyFQEm+RL71BPbtT/68kumy3vB5PWJIDKtfdA74gHrKcy\n1gNX09s4H2nvUn0uhvPF+N6Pd8Sr27tMHQKASWS8NiQe//psVSZuWDI/bl99ZSy4xOsFAKA8VKe4\nEUImjhUs/dldK5KOAoyhaUHaCws1wJ1sFs6rjfu/eu2xvUJbO6Kl7cx7hdImXyhG69aO+MoXrkw6\nCgCUDYWFAEDZyecLsb55W/TnhhK5fn9uKNY3b4vv3r1SV2QmLZvkk9O+ryfpCCU3tbp8CwutSQCV\nKZ8vxAub2qP5pZ3jMoHF9DbORdq7VJ+PPft64r4nNsfD65abxgwAk8iFbki8uK4m1ixvjNXXaV4G\nAFy4YrEYh7pz0d7ZE+2dPdGxvy9yR4djOF+I6mxV1EyrjsZLZ0VTQ100LaiLOXU1FzS1r2ZadSoL\nLiKOve6aPtXWUUi7OXU1MbuuJnWNiTNx7P3a7Drv0yar+trp8ZUvXBm33rQ4DvXk4u3OnmjvfD/e\n6eqNgcHhGBouRHU2E7s6umNwOF0TejMR0dLWEbfetNj0XQA4S94dAgBl54VN7bEn4cKbPft64sVX\n3o5bblyUaA4YbzbJJ6+9s/IKCy+pm5J0hPNmTQKoPJ0H+2J987YJ+f1vehtnI+1dqs9Xf24oHnhq\nSzxy1wrFhQAwyZzNhsQp1VUxfWp1XD6/NpoaLoqmhvqYXTfdJkAA4IJ19w5E6+sd0fLamZscbN1x\n4MTHs+tqYs31jbF62fk1OWi8dNaI86XN5fM1hYU0OFPR87Qp2aQjjlKMiDXLG71fqwCZTCbm1s+I\nufUzYvmn5o/43MHuD+Nf/OnGhJKdXjGONUM/3DMQc+prko4DAGVBYSEAUFb2HuiN5pd2Jh0jIiKe\nbXkrll0zLxZcYrMvk4NN8unQsb8v6QglN//jU5OOcF6sSQCVZ1fHkfj2hrboHxie0OuY3sZY0tql\nejwcHczHQxva4vF7VnrPAACT0FgbEgEAxtveA73x/MbdsWV7VxQKp26oOlab1cM9uXimZWc0t+6K\nFUvmx22rFsfCeWdfjNfUkO7mUE0NFyUdASrauRQ9p022KhOrr2tMOgYJa0+4AfOZtHd2KywEgLNk\nVAgAUFae37h7XKaojYfhfDGea92VdAwYF7s6jsR9f/7zCZ+8dnyT/O693RN6nXKWOzocldbXb/7H\ny3NioTUJoLLs3tsdDz796oQXFR53fHqb1018VCaTiTXXT95NG/25oVjfvC3y+ULSUQAAAIAylM8X\n4kd/tzu+vn5TbH7j3dMWFZ6tQqEYm994N76+flP81ct7zvqeRdOCtBcWamgGSdh7oDce+8Ev487v\ntMYzLTtP2UCueNKfNLphyfzzmuTK5NLemfbCwveTjgAAZUNhIQBQNrp7B2LL9q6kY4zw6vau6O4d\nSDoGXBCb5NNluMI2UNfOyEbtjGzSMc6ZNQmgsnQe7IuHNrTF0cF8Sa97fHpb58HKm2jM2FYva4yq\nqsnbjmLPvp548ZW3k44BAAAAlJnOg33xrSc3x/d/8ta4N4cczhfjez/eEd96cvNZ3a+bU1cTs+vS\nNykpExGz62pidp2iICil8S56Tkp1NhO3r74y6RikQMf+dD+7eqerN+kIAFA2qpMOAABwtlpf70jd\njbV8oRitWzviK19w04zylPQm+cfvWRkNc2eV9NppV52trP4v1zbNjEym/DbFW5MAKkc+X4j1zdui\nPzeUyPWPT2/77t0rI1thrxM4vfra6bFiyfzY/Ma7SUeZMM+2vBXLrpkXCy7xfgEAAAA4s10dR+Lb\nG9omvJnqnn09cd8Tm+Phdctj8cLTT/3LZDKx5vrGeKZl54TmOVfFiFizvLEsn89Bueo82Bfrm7fF\nnn3pnvB2Nu5Yc7V7tkRERO7ocGQinZM1MxExMFia5uowmRSLxTjUnYv2zp5o7+yJjv19kTs6HMP5\nQlRnq6JmWnU0XjormhrqomlBXcypq/GaEiYJhYUAQFkoFovR8lpH0jFGyURES1tH3HrTYm+SKDs2\nyadTzbTqVN54nQhVmYh/fMXMpGOcM2sSQGV5YVN74g/7j09vu+XGRYnmIF1uW7U42t7sGvfu+2kx\nnC/Gc6274v6vXpt0FAAAACDldu/tjgeffrVkzVT7c0PxwFNb4pG7VoxZXLh6WWM0t+5KVbPKbFUm\nVl/XmHQMqBilKnouhUUL6uLmz12RdAxSYjhfSDrCmIaG050P0qS7dyBaX++Iltc64nBPbsTnTt59\nVIyIrTsOnPh4dl1NrLm+MVYva4z6WtOwoZzZvQsAlIVDPblRb1rSoBgRh3tycbhnIOkocM7StEme\n32m8tHK6+33qf5kVs2qyScc4Z9YkgMqx90BvNL+Ujo7iz7a8Ffve60s6BimycF5trP3iVUnHmFCv\nbu+K7l6vbQAAAIDT6zzYFw9taCtZUeFxRwfz8dCGtug8ePp7dvW102PFkvklTHVmNyyZb+M3lMjx\noudyLyrMRMTMmilx79qlmkZzQnXK/y1MqU53PkiDvQd647Ef/DLu/E5rPNOy85R7oYon/fmowz25\neKZlZ9z5ndZ47Ae/jL0Heic6MjBBrJoAQFloT7j46UzaO7uTjgDnxCb59GpqqEs6QklUZzOxaunF\nScc4L9YkgMrx/MbdqZkGd3x6G5zsy59vikULJu/rx3yhGK1b0zcpGgAAAEiHfL4Q65u3RX9uKJHr\n9+eGYn3ztsiPMbXptlWLozqbOe3nS6k6m4nbV1+ZdAyoCEkVPU+EqVOz8fC65dEwt3KaJHNmNdOq\nT1lolAbFiJg+tTrpGJBa+XwhfvR3u+Pr6zfF5jfeveDp2oVCMTa/8W58ff2m+KuX94z52hhIJ4WF\nAEBZaO9MexHH+0lHgHNik3x6NU3ijeEnu2PN1XFJ/bSkY5wXaxJAZej9cDi2bO9KOsYIprfxUdls\nVdy7dmnMrJmSdJQJkYmIlraOKBbT8d4FAAAASJcXNrXHnoQbQu7Z1xMvvvL2aT+/cF5trP3iVSVM\ndHp3rLk6FlyiMAgmWtJFz+NpZs2UeOSuFbF4YX3SUUiZxkvTvZ5cPr826QiQSp0H++JbT26O7//k\nrXHfOzicL8b3frwjvvXk5jGnegPpo7AQACgLHfvT/UbjnS5j3Ckf3b0DNsmn2Jy6mphdV5N0jAm1\naEFd3Py5K5KOcd6sSQCVYevO9y+4O+N4M72NU2mYOyseXrc8pk3NJh1l3BUj4nBPLg73eK8AAAAA\njLT3QG80v7Qz6RgREfFsy1ux773TPz/68uebYlHCzUXL/fkclJM0FD2Ph0UL6uLxe1YqKuSUmhrS\n3TS7qeGipCNA6uzqOBL3/fnPJ3yN2rOvJ+57YnPs3ts9odcBxo/CQgCgLOSODkcm6RCnkYmIgcHh\npGPAWWt9vcMm+RTLZDKx5vrGpGNMiEwc62h479qlkc2W79tRaxLA5FcsFuP1nel76G96G6ezeGF9\nPHLXikk7ubC904NHAAAAYKTnN+4e9ykr52s4X4znWned9vPZbFXcu3ZpIvduJsvzOSgXaSp6Pl/V\n2Uz80Zc+Ed+9e2U0zE33VDqS05RwwfyZNDUoiIWT7d7bHQ8+/Wr0D5RmT1F/bigeeGqL4kIoE94p\nAgBlYThfSDrCmIaG050PjisWi9HyWvoK+GySH2n1ssaoqkpr6dr5mzo1Gw+vW172Dx+sSQCT3/sf\n5qOnP32F2qa3MZbFC+vj8XtWJt79fiK0d76fdAQAAAAgRXo/HI4t27uSjjHCq9u7orv39PftGubO\niofXLY9pU7MlTDV5ns9BuUhT0fPZOr4zIVuViZWfuSye+Ob/GrfcuEgxMmOaU1cTs+tqko4xSiYi\nZtfVxOy66UlHgdToPNgXD21oi6OD+ZJe9+hgPh7a0BadB08/2RtIB6/6AICyUJ3ym1VTqtOdD447\n1JOLwz25pGOMYpP8SPW102PFkvlJxxhXM2umxCN3rYjFC8u/K5w1CWDy6zoylHSEMZnexuk0zJ0V\n3717ZfzRlz4R1dnJ06jina7epCMAAAAAKbJ15/tRKKSrcCdfKEbr1rEbvC5eWB+P3LWiZJMLJ9Pz\nOSgH3b0DqSt6Pi5z0p+PuriuJv6P/+2q+P/+79Vx/1evjQWXKETmzDKZTKy5vjHpGKMUI2LN8sbI\nZCbPMxK4EPl8IdY3b4v+XDLPv/tzQ7G+eVvkU97EHSpdddIBAADORs206kjXY4HfKUbE9KleVlEe\n2vf1JB1hTO2d3TGnPn0dzZJw26rF0fZmV9l1MzyVRQvq4t61SydNJ1RrEsDkt//IYNIRxtTe+X4s\n/9TkakLA+Mlmq+KWGxfFdZ+4JJ7fuDu2bO+KQqEYmYjUvoYZSyYiBgbTN0EUAAAASEaxWIzXd6bv\nmWcmIlraOuLWmxaPWcyweGF9PH7PyljfvC32TOCz28n2fA7KQevrHakreo6IuGzux+Li2ukxNFyI\nKdVVMX1qdVw+vzaaGi6Kpob6mF03XREW52X1ssZobt2Vqn/32apMrL4ufQWPkJQXNrVP6GvOs7Fn\nX0+8+MrbccuNixLNAZye3YYAQFlovHRWbN1xIOkYp3X5/NqkI8BZae9M30O2k9kk/zsL59XG2i9e\nFd//yVtJRzlv1dlM3LHm6rj5c1dENuVT/s6FNQlg8nuvJ90TC01v42wsnFcb93/12ujuHYjWrR3R\n0tYxanr58a0i6Xnkf2pDw7qYAgAAAMe8/2E+evrT14SoGBGHe3JxuGfgjI1UG+bOiu/evTJefOXt\neLblrXFtNDpZn89B2hWLxWh5beyppUnIRMTRwXz86R/foHiQcVdfOz1WLJkfm994N+koJ9ywZH7U\n105POgakwt4DvdH80s6kY0RExLMtb8Wya+aZigsppbAQACgLTQ11SUcYU1PDRUlHgLPSsb8v6Qhj\nskl+pC9/vina3tyfeOeos3V8Ck62KhM3LJkft6++clLeELImAUx+g0PpLbMyvY1zVV87Pb7yhSvj\n1psWx6GeXLzd2RPtne/HO129MTA4HEPDhdj7Xl/059JbUDul2iY4AAAA4JiuI+m9hxER0d7ZfcbC\nwoiIbLYqbrlxUVz3iUvi+Y27Y8v2rigUiieet52tSnk+B2l3qCc3qrFbGpxL0TOcj9tWLY62N7vG\ntUj+fFVnM3H76iuTjgGp8fzG3an42YyIGM4X47nWXXH/V69NOgpwCgoLAYCy0LQg7UUc9UlHgLOS\nOzp8zg+jSsUm+dGy2aq4d+3SuO+JzYls9D7Vv5WTexh+9HMX19XEmuWNsfq6xkndAc6aBDD55Qtp\nfLX0O6a3cT4ymUzMrZ8Rc+tnjJoS/p2/fD21E5mLETF9qkcZAAAAwDH7jwwmHWFM7Z3vj7r3MpaF\n82rj/q9eG929A9G6tSNa2jpGFSd5Pgfp157yZsFnW/QM52rhvNpY+8Wr4vs/eSvpKHHHmqsV18P/\n1N07EFu2dyUdY4RXt3dFd++A16yQQp7GAwBlYU5dTcyuq0ldd69MHLtRP7vOmx3Kw3A+3ZvQbZIf\nrWHurHh43fJ44KktcXQwX7LrTpuajT/74xuivnb6KafaTKmuiulTq+Py+bXR1HBRNDXUx+y66ZHJ\nZM588jJnTQKY/LJV6V7PTG9jvDVeOiu1hYUREZfPr006AgAAAJAS7/Wke2LhO1295/V99bXT4ytf\nuDJuvWlxHOrJeT4HZaa9M+2FhedW9Azn4sufb4q2N/fHngQLbBctqIubP3dFYteHtGl9vSMKKWum\nmy8Uo3VrR3zlCyaLQtooLAQAykImk4k11zfGMy07k44yQjEi1ixvdKOeslGdTfcmdJvkT23xwvp4\n5K4V8dCGtpJMLpxZMyUeXrc8Fi88NvnuVFNtKpk1iXNRLBbjUHcu2jt7or2zJzr290Xu6HAM5wtR\nna2KmmnV0XjprGhqqIumBXUxp67G3yGkwNQp6f05NL2NidDUkPaJzBclHQEAAABIicGhdG2QPlkm\nIgYGhy/sHJlMzK2f4fkclJmO/X1JRxjT+RY9w9nIZqvi3rVL474nNpdkT8vJMhExo2ZK3Lt2aWRT\nvicKSqVYLEbLax1JxxglExEtbR1x602L7YuBlLEDBQAoG6uXNUZz665UdVLJVmVi9XWNSceAs1Yz\nrTrS8xM0kk3yY1u8sD4ev2dlrG/eNqFd3hYtqIt71y6NhrmzJuwak4E1iTPp7h2I1tc7ouW1jlHT\nLU++PVqMGDEhanZdTay5vjFWL2uM+lrTJyEpl9RNid3vDiQd47RMb2O8NS1Ie2FhfdIRAAAAgJTI\np+jZzKkMDReSjgAkIHd0ODIRqdyPMR5Fz3AmDXNnxcPrlscDT22Jo4P5kl136tRsPLxuuT0ucJJD\nPblR+1TSoBgRh3tycbhnIObU1yQdBziJ0nwAoGzU106PFUvS1ZHvhiXzbfqnrDRemu4baTbJj61h\n7qz47t0r44++9Imozo5v56bqbCb+6EufiO/evdIN17NgTeJ09h7ojcd+8Mu48zut8UzLzlPerC2e\n9OejDvfk4pmWnXHnd1rjsR/8MvYe0D0UknDpx6cmHWFMprcx3ubU1cTsuvQ9wMvEsaL72XVe4wAA\nAADHZKvSPd1kSrUtmVCJhvPpLipW9EwpLF5YH4/ctSJm1kwpyfVm1kyJR+5aEYsXak4IJ2ufwIb1\n46G9szvpCMBHeBcLAJSV21YtHvdimvNVnc3E7auvTDoGnJOmhrRPIrFJ/kyy2aq45cZF8ef3fj5W\nfuayqPqfD0/P9Tfj8a/PVmVi5Wf+f/buPjiq87z//+fsroRWila7IATIkpZ8kcSDbeoQAshUxsFG\nlsczzeDys7EwTVu3ZNwZSEpspiFjPKXzc/INlDj2JDg0k8SJrbiNx27qsSOLcWJbEQJiYwdSHoRI\nvLCIB2G0SBarh334/cFPGLEgQNrdc1bn/Zphxjqszn0dI+3Zc9/3dV036Zmvf1HLFlfI6eQx8Xpx\nT8KlotGYfvlWq7665W01fXh81N0sY7G4mj48rq9ueVsv/+awohZfjATGmuLx6VnwHCm6tyHZDMNQ\n7QLrdT6OS6qt8sswrPGZCwAAAAAAmC87y7rzBHFJOdkus8MAYAKXxdfZSXpGulSW+bR5TbUqSlO7\nP6mi1KvNa6pJKgSuoC1o9cTCc2aHAOAyfFIEAAAZpWyyR3X3zDA7DEnSitqZKp1EVy9klvIUT9yN\nFpvkr1/ZZI/WrZyrnz5Ro4fvnaEJV+gwY1zy53ITvG49fO8M/eSJGq1bOZf3sxHgnoRBwdPdevzZ\nJv3sjQOKREeXUHi5SDSu51/fr8efbVLwdHdSzw3g6gpynfLmWW8DEN3bkEo18/0Xi1ZYhdNhqGae\n9RIeAQAAAACAeSZ5rV0UbGqxx+wQAJjAPc6l5K4SJg9Jz0i3kqJ8bVpdrS/fNyvpxZpdTkNfvm+W\nNq2uVkkReySAKwmcsPbeko/au8wOAcBl+KQIALCkeDyujs6w2oIhtQVDCpzoVrgvokg0JpfTIfc4\nl/xT8lVe4lV5qVcTvW6q19vI/XeWq2XfCR02sWV7RalXSxdNM218YKQmet0q9Lp1JhQ2O5QhDF1I\ndGOT/I3zeXL04N3T9cBdleoIhXUkGFJb8Jw+au9Sb39EA5GYslwO5WS7NLXYo/KSApWX+FTozeHe\nmQTck3AocFZPbmtRT28kpeMcPhbSY880aeOqKqouAmlgGIbmz/DqzffPmB3KEHRvQyr5PDlaOLtY\nTR8eNzuUi26fXSyfh2cEAAAAAADwqSnjs80OYVjlJQVmhwDABP4p+dq9/6TZYVwVSc9IN6fToWWL\nKzRv1iS9tL1VzXvbFYvFZUg3lIQ7+Hqnw9Dts4v1UM10ii4D1xDui9zw71q6GJJ6+1O7vwbAjSOx\nEABgKZ1dvWrcFVDDzkBC0sul2ybj0pDJmEKvW7UL/KqZ72fDmQ04nQ6trZujx55pUk94IK1jG5Jy\n3VlaWzdHTifNn5F5DMNQ7QK/Xmg4aHYoQ7BJfvQMw1CRL1dFvlxV3Vpsdji2wT3J3lqPduqbz+1Q\nX380LeP1hAe0fmuznnp0IcmFQBrMm1Gg7R98rFjMOksudG9Dqi1fUqmWfe1J78A7Ei6noYdqppsd\nBgAAAAAAsJji8dbuWFhewvw9YEflJV6zQxgWSc8wS9lkj9atnHthX+jugBparr0v9FITvG7VVvlV\nM499ocD1ikRjZocwrIGIteMD7IjEQgCAJRw92TWkMs2VDLel7UworBcaDqq+8ZAWzi7W8iWVKptM\npaWxrKQoXxtXVWn91ua0beaXpOxspzauqlJJEZWPkLlq5vtV33iITfJAknBPsqfg6W5t2NaS1n9z\nSerrj2rDthZtXlPNvz2QYp5cF93bYDtlkz2qu2eGfvbGAbND0YramVQdBgAAAAAACQpynfLmuRTq\nsVanE0MXkh8KvczfAXZUXmr1xEKSnmEunydHD949XQ/cVamOUFhHgiG1Bc/po/Yu9fZHNBCJKcvl\nUE62S1OLPSovKVB5iU+F3hyKlAM3yGXx4uRZLmvHB9gRiYUAAFNFozG98nab6t88mJRq+LFYXE0f\nHlfLvnatqJ2ppYum0cFnDKss8+mpRxdqw7aWtHSJynNnaeOqKjoEIeP5PDlskgeSjHuSvUSjMW2p\n35P2LpWDesID2lK/R5tWV/NZF0gxurfBju6/s1wt+07o8LGQaTFUlHq1dNE008YHAAAAAADWZRiG\n5s/w6s33z5gdyhBxSbVVfpIfAJua6HWr0OtO6MRmNpKeYTWGYajIl6siX66qbi02OxxgTHKPcw3b\nyMVMcUk52aQwAVbD7jMAgGmCp7v1+LNN+tkbB5K+STMSjev51/fr8WebFDzdndRzw1oqy3zavKZa\nFSmu/FVR6tXmNdUkcGDMWL6kUi6nNRa12CSPsYJ7kn288nabqckWknT4WEivvnPE1BgAOxjs3mYF\ndG9DujidDq2tm6M8d1baxzZ0oYDC2ro5JM8DAAAAAICrmjejQA6HNdY6Bzkdhmrm+c0OA4BJDMNQ\n7QLrvQeQ9AwA9uOfYu015anFHrNDAHAZVuYBAKY4FDirx773bso3ZB8+FtJjzzSp9WhnSseBuUqK\n8rVpdbW+fN+spCdKuZyGvnzfLG1aXa2SIms/cAE3gk3yQGpwTxr7jp7sUv2bB80OQ5L0YsMBHTtF\nEQ0g1e6/szzlSePXQvc2pFtJUb42rqrSuGxnWsfNznZq46oqPusAAAAAAIBheXJdWjjbWl2Obp9d\nLJ+HjmCAndXM95P0DAAwXXmJuWvb11JeUmB2CAAuQ2IhACDtWo926pvP7VBPbyQt4/WEB7R+azPJ\nhWOc0+nQssUV+t7aO1V9200XJ+pudLpu8PVOh6Hq227SM1//opYtrqBTAsYkNskDqcE9aWx7aXtr\n0rttj1QkGtcvGg+ZHQYw5tG9DXZVWebTU48uTNvPfp47S089upCuzAAAAAAA4LosX1KZ9CKPI+Vy\nGnqoZrrZYQAwmc+TQ9IzAMB05SbvB7yW8hLWAgGrYTcKACCtgqe7tWFbi/r6o2kdt68/qg3bWhQ8\nTUeXsa5sskfrVs7VT5+o0cP3ztAErzvhNcYlfy43wevWw/fO0E+eqNG6lXPpooYxjU3yQGpxTxp7\nOrt61by33ewwhtixt12dXb1mhwGMeXRvg11Vlvm0eU11yguSVJR6tXlNNUmFAAAAAADgupVN9qju\nnhlmhyFJWlE7k3UcAJJIegYAmG+i163CK+xRMpshqdDrVqGXhHfAalxmBwAAsI9oNKYt9XvUEx4w\nZfye8IC21O/RptXVJLHYgM+Towfvnq4H7qpURyisI8GQ2oLn9FF7l3r7IxqIxJTlcign26WpxR6V\nlxSovMSnQm+ODMMaE3xAOgxukl+/tTmtSd9skoedcE8aOxp3BRSLWaNb4aBoLK7G3QE9eDeLgkCq\nDXZv27CtJS3PtXnuLG1cVUWiFUxXUpSvTaur9eo7R/Riw4Gkdu51OQ2tqJ2ppYumMVcDAAAAAABu\n2P13lqtl3wkdPhYyLYaKUq+WLppm2vgArGUw6flnbxwwOxSSngHApgzDUO0Cv15oOGh2KEPEJdVW\n+dkLBVgQiYUAgLR55e02UydzJenwsZBefeeIli2uMDUOpI9hGCry5arIl6uqW4vNDgewJDbJA+nB\nPSmzxeNxNewMmB1GAkNSQ0tAD9xVyeQrkAaD3du21O9J6fNtRalXa+vmUIQBluF0OrRscYXmzZqk\nl7a3qnlvu2KxuAxdWAS8XoOvdzoM3T67WA/VTGdjCwAAAAAAGDGn06G1dXP02DNNaS9ybUjKdWdp\nbd0cCiYBGIKkZwCA2Wrm+1XfeMhSxbOdDkM18/xmhwHgCniiBQCkxdGTXap/0xrVL15sOKBjp7rN\nDgMALGVwk3xFqTel41SUerV5TTVJhQAyTkcorDOhsNlhJIhLOhMK60yo1+xQANsY7N725ftmjEp4\nAAAAIABJREFUyeVMbkKvy2noy/fN0qbV1SQVwpLKJnu0buVc/fSJGj187wxN8LoTXmNc8udyE7xu\nPXzvDP3kiRqtWzmXpEIAAAAAADBqJUX52riqSuOynWkdNzvbqY2rqpjHA5BgMOk5z52V9rENXSj2\nTNIzANibz5OjhbOtVfT89tnF8nlyzA4DwBXQsRAAkBYvbW9VJGqNyheRaFy/aDykdSvnmh0KAFjK\n4Cb5V985ohcbDiT1fdvlNLSidqaWLprG5DWAjNRmcufta2kLdmqiLzG5A0Bq0L0Ndufz5OjBu6fr\ngbsq1REK60gwpLbgOX3U3qXe/ogGIjFluRzKyXZparFH5SUFKi/xqdCbQ4ddAAAAAACQdJVlPj31\n6EJt2NaSls6Fee4sbVxVRTFVAFc1mPS8fmuz+vqjaRuXpGcAwKDlSyrVsq/dEnu3XU5DD9VMNzsM\nAFdBYiEAIOU6u3rVvLfd7DCG2LG3XZ1dvVS/AIDLsEkeAK6sLWj1xMJzqrrVWtXmADsY7N7W2dWr\nxt0BNbQEErqbXppCdfnnqQlet2qr/KqZ5+f5FBnJMAwV+XJV5MvlPgQAgIni8bg6OsNqC4bUFgwp\ncKJb4b6IItGYXE6H3ONc8k/JV3mJV+WlXk30usdMsr+drx0AAAxVWebT5jXV2lK/R4dTWCywotSr\ntXVzSNoBcE0kPQMAzFQ22aO6e2boZ28cMDsUraidyd5BwMJILAQApFzjroBiMfMrXlwqGourcXdA\nD95NBQwAuBI2yQPAUIET3WaHMKyP2rvMDgGwNbq3AQAAwAydXb1q3BVQw85rz93t3n/y4teFXrdq\nF/hVMz9z5+7sfO0AAODqSorytWl1tV5954hebDiQ1O4sLqehFbUztXTRNDmdjqSdF8DYRtIzAMBM\n999ZrpZ9J1J6D7qWilKvli6aZtr4AK6NxEIAQErF43E17AyYHUYCQ1JDS0AP3FXJJk4AGAab5AHg\ngnBf5Ia7t6aLIam3P2J2GABE9zYAAACkx9GTXXppe6ua97ZftbDjcM+vZ0JhvdBwUPWNh7RwdrGW\nL6lU2WRPaoJNMjtfOwAAuD5Op0PLFldo3qxJQz433Ogc/+DrnQ5Dt88u1kM10+myAmBESHoGAJjF\n6XRobd0cPfZMU1q6517KkJTrztLaujncowCLI7EQAJBSHaFwQqVYK4jrwuLxmVCvJvrcZocDAJbH\nJnkAdheJxswOYVgDEWvHBwAAAAAYvWg0plfeblP9mweTshE1Four6cPjatnXbvmNqHa+dgAAMDJl\nkz1at3LuhU7HuwNqaLl2p+NLTfC6VVvlV808Oh0DGD2SngEAZikpytfGVVVav7VZff3RtI2bne3U\nxlVVdNMFMgCJhQCAlGozsX329WgLdpJYCAAAgGtyWXxzYZbL2vEBAAAAAEYneLpbW+r36HAK1l0i\n0bief32/duxt19q6OZbb7GPnawcAAKPn8+Towbun64G7KtURCutIMKS24Dl91N6l3v6IBiIxZbkc\nysl2aWqxR+UlBSov8anQmyPDMK49AADcAJKeAQBmqCzz6alHF2rDtpa0dC7Mc2dp46oqVZb5Uj4W\ngNEjsRAAkFJtQasnFp6j8xYAAACuyT3OdUPVQtMpLiknmykeAAAAABirDgXO6sltLerpjaR0nMPH\nQnrsmSZLbfqx87UDAIDkMgxDRb5cFfly2ScCwHQkPQMA0q2yzKfNa6pTVsBrUEWplwJeQIZh1xkA\nIKUCJ7rNDmFYH7V3mR0CAAAAMoB/Sr527z9pdhhXNbXYY3YIAAAAAIAUaD3aqW8+t0N9/dG0jNcT\nHtD6rc166tGFpifY2fnaASAd4vG4OjrDaguG1BYMKXCiW+G+iCLRmFxOh9zjXPJPyVd5iVflpV5N\n9LpJZAAAIMlIegYApFNJUb42ra7Wq+8c0YsNBxSJJq/EtstpaEXtTC1dNE1OpyNp5wWQeiQWAgBS\nKtwXkSFZsruLIam3P7UVbgEAADA2lJd4zQ5hWOUlBWaHAAAAAABIsuDpbm3Y1pK2xLpBff1RbdjW\nos1rqk2rLG7naweAVOvs6lXjroAadgZ0JhQe8neXpg3GpSHF1gq9btUu8Ktmvl8+T056ggUAAAAA\nJJXT6dCyxRWaN2uSXtrequa97YrF4je813vw9U6HodtnF+uhmukqncR8GpCJSCwEAIzacJUMAye7\nLJlUOGggEjM7BAAAAGSA8lKrJxbSSQEAAABA8tHJyDzRaExb6veoJzxgyvg94QFtqd+jTaur015h\n3M7XDgCpdPRk15BNo1cy3Nr+mVBYLzQcVH3jIS2cXazlSypVNtmTmmABAACAMYZ5NlhN2WSP1q2c\ne6H4zO6AGlquXXzmUhO8btVW+VUzj+IzQKYjsRAAMGLXU8nQykmFkpTlYkEYAAAA1zbR61ah153w\nuddshi5M1hZ6maQFAAAAkDx0MjLfK2+36fCxkKkxHD4W0qvvHNGyxRVpHdfO1w4AqRCNxvTK222q\nf/OgItHRr+DHYnE1fXhcLfvataJ2ppYumkYiNgAAAHAVzLPB6nyeHD1493Q9cFelOkJhHQmG1BY8\np4/au9TbH9FAJKYsl0M52S5NLfaovKRA5SU+FXpzSH4FxggSCwEAN2y0lQytIi4pJ5tbIQAAAK7N\nMAzVLvDrhYaDZocyRFxSbZWfyVoAAAAASUEnI2s4erJL9W9a4/nzxYYDmn/zZJVOyk/LeHa+dgBI\nheDpbm2p35OShO1INK7nX9+vHXvbtbZujkqKeL8EAAAABjHPhkxjGIaKfLkq8uWq6tZis8MBkEZk\nUwAArluyKxlawdRiHrRgDfF4XB2dYbUFQ2oLhhQ40a1wX0SRaEwup0PucS75p+SrvMSr8lKvJnrd\nJBAAAJBmNfP9qm88dNVJfzM4HYZq5vnNDgMAAABAhqOTkbW8tL3VMuswkWhcv2g8pHUr56ZlPDtf\nOwAk26HAWT25rUU9vZGUjnP4WEiPPdOkjauqVFnmS+lYAAAAgNUxzwYAyDQkFgIArksqKxmaqbyk\nwOwQYHOdXb1q3BVQw86AzoTCQ/7u0rTBuKTd+09e/LrQ61btAr9q5vvl8+SkJ9gUIakSAJApfJ4c\nLZxdrKYPj5sdykW3zy7O+M8CAAAAAMxFJyNr6ezqVfPedrPDGGLH3nZ1dvWm/PnTztcOAMnWerRT\n33xuh/r6o2kZryc8oPVbm/XUowtJLgQAAIBtMc8GAMhEJBYCAK4pXZUMzVBewqIGzHH0ZJde2t6q\n5r3tV+16NFy9ojOhsF5oOKj6xkNaOLtYy5dUqmxyZnXgJKkSAJCJli+pVMu+dkt0T3A5DT1UM93s\nMAAAAABkMDoZWU/jrsBV54zNEo3F1bg7oAfvTu0zqJ2vHQCSKXi6Wxu2taQtqXBQX39UG7a1aPOa\najY5AwAAwHaYZwMAZCoSCwEAw0p3JcN0MSRN8LpV6CUpCekVjcb0ytttqn/zYFISEmKxuJo+PK6W\nfe1aUTtTSxdNk9PpSEKkqUNSJQAgk5VN9qjunhn62RsHzA5FK2pnqnQSG3QAAAAAjAydjKwnHo+r\nYWfA7DASGJIaWgJ64K5KGYZxzdePhJ2vHQCSKRqNaUv9HvWEB0wZvyc8oC31e7RpdbXl1ywBAACA\nZGGeDcOJx+Pq6AyrLRhSWzCkwIluhfsiikRjcjkdco9zyT8lX+UlXpWXejXR62YeCkBakVgIALgq\nsyoZpkNcUm2Vnw/fSKvg6W5tqd+jw8dCST93JBrX86/v14697VpbN8eSVUBJqgQAjBX331muln0n\nUnJPv14VpV4tXTTNtPEBAAAAZDY6GVlTRyisM6Gw2WEkiOtCwbczoV5N9LlTMoadrx0AkumVt9tM\nnbeULnRQefWdI1q2uMLUOAAAAIB0YJ4NV9PZ1avGXQE17AwkzHtdunM5Lmn3/pMXvy70ulW7wK+a\n+X75PDRPAZB6JBYCAK7I7EqGqeZ0GKqZ5zc7DNjIocBZPbmtRT29kZSOc/hYSI8906SNq6osVY3I\n7kmVAICxxel0aG3dHD32TFPaPy8bknLdWVpbN4eEegCWQqVNAAAyh9nz/3Qyuro2kxNBrqUt2Jmy\n5Do7XzsAJMvRk12qf/Og2WFIkl5sOKD5N09W6STW7QAAADB2Mc+GKzl6sksvbW9V8952xWJXbsAw\nXFuGM6GwXmg4qPrGQ1o4u1jLl1SqbLInNcECgEgsBABchRUqGabS7bOLqeSBtGk92qlvPrcjbVWJ\nesIDWr+1WU89utASyYV2T6oEAIxNJUX52riqSuu3Nqe18mB2tlMbV1WRSA/AMqi0CQBA5rHC/D+d\njK6sLWjtdZm24DlV3VqconPb99oBIFle2t6qSHS47anpE4nG9YvGQ1q3cq7ZoQAAAAApwzwbLhWN\nxvTK222qf/NgUp7NYrG4mj48rpZ97VpRO1NLF00jgRRASvDOAgBIYKVKhqngchp6qGa62WHAJoKn\nu7VhW0taEw4kqa8/qg3bWhQ83Z3WcS83mFSZ6qTCQYNJla1HO9MyHgDA3irLfHrq0YXKc2elZbw8\nd5ZlCgcAwNGTXfrOz9/T3/5bo15oOJiQVChdSCYc/HO5wUqbf/tvjfrOz9/T0ZNdqQ4ZAADIWvP/\nLzYc0LFT5s5fWk3ghLX/f3zUnrrPbHa+dgBIhs6uXjXvbTc7jCF27G1XZ1ev2WEAAAAAKcE8Gy4V\nPN2tx59t0s/eOJD0gi+RaFzPv75fjz/bZPp+UABjEx0LAQAJrFTJMBVW1M5U6SQ6vCD1otGYttTv\nUU94wJTxe8ID2lK/R5tWV5tSqcbspMrNa6rp5mRx8XhcHZ1htQVDaguGFDjRrXBfRJFoTC6nQ+5x\nLvmn5Ku8xKvyUq8met0yDOPaJwaANKos82nzmmptqd+T0kqEFaVera2bw70NgOmotAkAQGaz0vw/\nnYwShfsiMnTlwgxmMyT19qeugJydrx0AkqFxV0CxmLXeRaOxuBp3B/Tg3RT9BQAAwNjDPBsGHQqc\n1ZPbWlLefOHwsZAee6ZJG1dVUZAaQFKRWAgAGMKKlQyTqaLUq6WLppkdBmzilbfbUppgcD0OHwvp\n1XeOaNniirSOa/ekSgyvs6tXjbsCatgZSOhsc2naYFzS7v0nL35d6HWrdoFfNfP98nly0hMsAFyH\nkqJ8bVpdrVffOaIXG5Jbfc7lNEi0AWAZwdPdKUukHqy0uWNvO4nUAACkiBXn/wc7GTHXc0EkGjM7\nhGENRFIXn52vHQBGKx6Pq2FnwOwwEhiSGloCeuCuSgpHAgAAYExhng2DWo926pvP7Uhb84We8IDW\nb23WU48uJLkQQNKwIw0AMIQVKxkmgyEpz52ltXVz2JCNtDh6skv1bx40OwxJ0osNB3TsVHdax7RS\nUiWs4+jJLn3n5+/pb/+tUS80HExIKpQuJBMO/rncmVBYLzQc1N/+W6O+8/P3dPRkV6pDBoDr5nQ6\ntGxxhb639k5V33aTHI4LG2VudLvM4OudDkPVt92kZ77+RS1bXMFnWACmOxQ4q8e+927KP+cPVtps\nPdqZ0nEAALAjK87/D3YywgUuiz/7ZblSF5+drx0ARqsjFL7imovZ4rqwtnMm1Gt2KAAAAEBSMc8G\n6UJR1g3bWtKWVDiorz+qDdtaFDyd3j2hAMYuZr8BABdZtZJhMmRnO7VxVRUdD5A2L21vTWq3otGI\nROP6ReOhtI1n96RKJIpGY/rlW6366pa31fTh8VFPrMVicTV9eFxf3fK2Xv7NYUUtXs0cgL2UTfZo\n3cq5+ukTNXr43hma4HUnvMa45M/lJnjdevjeGfrJEzVat3KuSifx+RWA+QYrbfb0RtIy3mClTZIL\nAQBIHqvO/w92MorHrTGXajb3ONcVC25ZQVxSTrYrZee387UDwGi1mVzs81ragjzfAwAAYOxgng3S\nhf1wW+r3qCc8YMr4PeEBbanfw745AEnB7DcA4CKrVjIcrTx3ljauqqLtN9Kms6tXzXvbzQ5jiB17\n29XZ1SufJyflY1kxqXLdyrlmh2JbwdPd2lK/JyWdbSLRuJ5/fb927G3X2ro5JI8DsBSfJ0cP3j1d\nD9xVqY5QWEeCIbUFz+mj9i719kc0EIkpy+VQTrZLU4s9Ki8pUHmJT4XeHBnGjfY5BIDUMbvS5uY1\n1XzOAwAgCaw6/39pJ6OJvsTCLHbjn5Kv3ftPmh3GVU0t9qTs3Ha+dgAYrbag1RMLz6nq1mKzwwAA\nAACSgnk2SNIrb7elZD/cjTh8LKRX3zmiZYsrTI0DQOYjsRAAcJHVKxmOREWpl2QTpF3jrsCoO7Il\nWzQWV+PugB68e3pKx7F7UiWGOhQ4qye3taS8s83hYyE99kwTSeQALMkwDBX5clXky2XzDICMY5VK\nm5tWV8vpdJgSAwAAY4XV5//bgp1seJJUXuI1O4RhlZcUpPDc9r12ABitwIlus0MY1kftXWaHAAAA\nACQN82w4erJL9W8eNDsMSdKLDQc0/+bJKp3EHmkAI8duDADARVavZHgjXE5DX75vljatprMB0ise\nj6thZ8DsMBIYkhpaAorHU5vwaOWkSqRX69FOffO5HSlPKhzUEx7Q+q3Naj3amZbxAAAA7MBKlTYB\nAMDoWH3+vy14zuwQLKG81OrJdakr6mXnaweA0Qr3RWSYHcRVGJJ6+9OzVgQAAACkA/NseGl7qyJR\na+yRjETj+kXjIbPDAJDh6FgIALjI6pUMh2PoQit3p8PQ7bOL9VDNdCpwwBQdobDOhMJmh5EgLulM\nKKwzod6UVSSyelLlA3dVyjCsuqw6tgRPd2vDthb19UfTOm5ff1QbtrVo8xqSygEAAEaLSpsAcGXx\neFwdnWG1BUNqC4YUONGtcF9EkWhMLqdD7nEu+afkq7zEq/JSryZ63cxHwBKsPv9PJ6MLJnrdKvS6\nLTfHbEia4HWr0JuTsjHsfO0AMFqRaMzsEIY1ELF2fAAAAMCNYJ7N3jq7etW8t93sMIbYsbddnV29\n8nmYvwIwMiQWAgAuGqxkaI06Glc2uAXn8hgneN2qrfKrZp6fD8cwVZvJ3TyupS3YmbLEQjsnVeJT\n0WhMW+r3qCc8YMr4PeEBbanfo02rq+V00qAdAABgpKxYaXPdyrlmhwLAxjq7etW4K6CGnYGE+Y9L\n0wbjknbvP3nx60KvW7UL/KqZz7wlzGXl+X86GX3KMAzVLvDrhQZrFHgYFJdUW+VPaaK0na8dAEbL\nZfH1kCyXteMDAAAAbgTzbPbWuCugWMxa//rRWFyNuwN68O7pZocCIEORWAgAuMjqlQxzc1zyT/Yo\ny+VQTrZLU4s9Ki8pUHmJT4XeHBZ1YQltQasnFp5T1a3FqTm3jZMq8alX3m7TYZN/Fg4fC+nVd45o\n2eIKU+MAAADIVFTaBIBPHT3ZpZe2t6p5b/tVNwsMt4XgTCisFxoOqr7xkBbOLtbyJZUqm+xJTbDA\nMKw+/08no0/VzPervvGQpTYoOR2Gaub5Uz6Ona8dAEbDPc5lyU3N0oXPyjnZbE8DAADA2ME8m33F\n43E17AyYHUYCQ1JDS0AP3FXJPmoAI8LMDQDgIitXMjQklZd49f8+utDsUIBhBU50mx3CsD5q70rZ\nue2cVIkLjp7sUv2b1qgo/mLDAc2/ebJKJ+WbHQoAAEDGodImAEjRaEyvvN2m+jcPJqWDaywWV9OH\nx9Wyr10ramdq6aJpclp4PhZjj5Xn/yU6GV3K58nRwtnFavrwuNmhXHT77OK0FHiw87UDwGj4p+QP\n6ZptNVOLKawBAACAsYN5NvvqCIV1JhQ2O4wEcV0ocngm1EvjBQAjwp0DAHARlQyB0Qv3RWTVmi+G\npN7+SMrOb+ekSlzw0vbWpGy2TIZINK5fNB4yOwwAAICMY/VKm/G4NT5vAhjbgqe79fizTfrZGweS\n/pwbicb1/Ov79fizTQqetvZcCsYW5v8zy/IllXI5rTHT7HIaeqgmfcUd7HztADBS5SVes0MYVnlJ\ngdkhAAAAAEnDPJt9tR2zeuOFTrNDAJChSCwEAFzkn2Ltrk5UMkQmiERjZocwrIFI6uKzc1IlpM6u\nXjXvbTc7jCF27G1XZ1ev2WEAAABklEyotAkAqXQocFaPfe9dHU7xBoHDx0J67JkmtR5loR/pwfx/\nZimb7FHdPTPMDkOStKJ2pkonpe/nx87XDgAjVV5q9cRCn9khAAAAAEnDPJt9tQWtnlh4zuwQAGQo\nEgsBABdRyRAYPZfT2h+vslypi8/OSZWQGncFFItZqx5XNBZX427rddsBAACwMiptArCz1qOd+uZz\nO9TTm57iRD3hAa3f2kxyIdKC+f/Mc/+d5aowOVGkotSrpYumpX1cO187AIzERK9bhV632WEkMCQV\net0q9OaYHQoAAACQNMyz2VfgRLfZIQzro/Yus0MAkKGsvfMdAJBWVDIERs89ziVrpVZ9Ki4pJ9uV\nsvPbOanS7uLxuBp2Wi+Bz5DU0BJQPG7V30oAAADrodImALsKnu7Whm0t6uuPpnXcvv6oNmxrUfC0\ntTckIPMx/595nE6H1tbNUZ47K+1jG5Ly3FlaWzdHThPmfe187QAwEoZhqHaB3+wwEsQl1Vb5ZRiG\n2aEAAAAAScM8m32F+yKy6tONIam3Pz1FEwGMPcyEAwAuopIhMHr+KflmhzCsqcWelJ3bzkmVdtcR\nCutMKGx2GAniks6EwjoT6jU7FAAAgIxBpU0AdhSNxrSlfo96wgOmjN8THtCW+j2KRmOmjA97YP4/\nM5UU5WvjqiqNy3amddzsbKc2rqpSSZF58912vnYAGIma+X45HNba4up0GKqZZ72ERwAAAGA0mGez\nr4jF5/AHItaOD4B1kVgIALiISobA6JWXWL0iUUHKzm3npEq7aztm9a42nWaHAAAAkDGotAnAjl55\nu02HTX62PXwspFffOWJqDBjbmP/PXJVlPj316MK0de/Lc2fpqUcXqrLM/Or2dr52ALhRPk+OFs4u\nNjuMIW6fXSyfh03NAAAAGFuYZ7Mvl9PaqTdZLmvHB8C6aNsCABiiZr5f9Y2HFItZp++YlSsZxuNx\ndXSG1RYMqS0YUuBEt8J9EUWiMbmcDrnHueSfkq/yEq/KS72a6HXz4DbGlZdaPbEwdRsi7JxUaXdt\nQasnFp5T1a3WWkwHAACwKiptArCboye7VP/mQbPDkCS92HBAX1vq12eyzY4EYxXz/5mrssynzWuq\ntaV+T0oToStKvVpbN8dS3frsfO0AcKOWL6lUy752RaLm3+tdTkMP1Uw3OwwAAAAgJZhnsyf3OJes\n8y8+VFxSTjapQRi72K+fWmPq3SMajep///d/FQwG1dnZqe7ubnk8Hk2YMEHTpk1TeXm52SEm6Ovr\n0759+9Te3q5z587pk08+UW5urgoKCjRhwgTNnj1bBQVsggeQPoOVDJs+PG52KBdZsZJhZ1evGncF\n1LAzoDOh8JC/u/RjSFzS7v0nL35d6HWrdoFfNfP9lrsmJMdEr1uFXnfCz4XZDEkTvG4VelP3c2fn\npEq7C5zoNjuEYX3U3mV2CAAAABmDSpsA7Oal7a2W2HgtSZFoXNv3fKylC0a/LsQCK66E+f/MVlKU\nr02rq/XqO0f0YsOBpL53uZyGVtTO1NJF0+S04OdBO187ANyIsske1d0zQz9744DZoWhF7UyVTiJZ\nGwAAAGMT82z25J+SP2Q/sNVMLfaYHQKQdOzXT48xkVj47rvv6pe//KV27typrq6rbxqeNGmSFi1a\npJUrV6qysjKNEQ7V39+vN954Q7/85S/1hz/8QQMDA1d9rWEYqqio0L333qvly5dr/PjxaYwUgF1R\nyfDqjp7s0kvbW9W8t/2q1WaG+792JhTWCw0HVd94SAtnF2v5kkqVTebD/FhiGIZqF/j1QoM1Kt0P\nikuqrfKndIOYnZMq7S7cF5Gh4d//zGJI6u2PmB0GAABAxqDSJgA76ezqVfPedrPDGGLfn7t19198\nRvlu54i+nwVWXAvz/5nN6XRo2eIKzZs1achaxY3OzQ2+3ukwdPvsYj1UM93yyR92vnYAuBH331mu\nln0nUtrl9VoqSr1aumiaaeMDAAAA6cA8m/2Ul1i98QLNrDB2sF8/vTJ6F8aJEyf0jW98Qy0tLdf1\n+lOnTum//uu/9PLLL2vFihVat26dsrOzUxzlUG+99ZaefPJJdXR0XNfr4/G4Wltb1draqq1bt+of\n//Ef9U//9E9yuTL6nw6AxVHJMFE0GtMrb7ep/s2DSXkQjMXiavrwuFr2tVMJdwyqme9XfeOhq36Y\nNYPTYahmnj+lY9g5qdLuItGY2SEMayBi7fgAAACshEqbAOykcVfAUvM3khSLSx8c6dEdt9zY+x0L\nrLhezP+PDWWTPVq3cu6FZOLdATW0XDuZ+FITvG7VVvlVMy/zkontfO0AcD2cTofW1s3RY880qSd8\n9ULnqWBIynVnaW3dHNa+AQAAMOYxz2Y/5aVWTyz0mR0CMGrs1zdHxmantba26u///u+vO0HvUrFY\nTD//+c918OBBbdu2Tbm5uSmIMNG3v/1t/eQnPxnx9/f39+v73/++fve73+lHP/qRPB4WdAGkDpUM\nPxU83a0t9XtS8v8iEo3r+df3a8fedq2tm6OSIh7uxgKfJ0cLZxer6cPjZody0e2zi9OyScKuSZV2\n57L4g1aWy9rxAQAAWAmVNgHYRTweV8POgNlhXNF7bT2qvjn/uookscCKkWD+f+zweXL04N3T9cBd\nleoIhXUkGFJb8Jw+au9Sb39EA5GYslwO5WS7NLXYo/KSApWX+FTozcn4Qmx2vnYAuJaSonxtXFWl\n9Vub1dcfTdu42dlObVxVxZo3AAAAbIN5NnuZ6HWr0OtOKHJlNkMXimkVeimihczGfn3zZGRi4alT\np/TII48kJBXm5OToi1/8opYsWaKbbrpJBQUF+vjjj3X48GG9/vrr+v3vfz/k9b///e+aqTi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qbEk43qVE/357+zY1NiIJXqV/nU1NJ5zbs1VnA6DNXf47M6BgBkLW7xAQAA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\n7drfrL0v1nB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++JPf6I++36gDDa33vMZM3PHnbl2hiA40tOqPvt+o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\nW5ak4ZGE9h5p18Gd9dxjBoAsYDMtAGRPzoxl/upXvyq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d2rV5hWa5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8/f2zXI3DXfcMAcAeZJJrM2nNmjVasmSJoVa6dGktWbJE5cuXz7J9SEiIwsLC9OWXXxqO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\nUpKhPnr0aBUqVMi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4q7vvvlszZ86Uj49xvaFJkyYZVoxPx3USgPyIXDLasGGD/vOf/5gG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\nPsu2Tz31lEqUKGGoLV261O7VqSIiIjR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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if True:\n", + "\n", + " ##############################################\n", + "\n", + " # We also test the MPN annotations\n", + " import json\n", + " import pandas as pd\n", + " from mwTools.mpn_annotation_tools import plot_add_annotations\n", + " from mwTools.paths import p\n", + " p = p('isis')\n", + " mpnAnnotationPath = p.mpnAnnotationPath\n", + "\n", + " # Import annotations\n", + " with (mpnAnnotationPath / 'mpnAnnotFeaturesDf8_colList.json').open('r') as f:\n", + " colList = json.load(f)\n", + "\n", + " mpnAnnotFeaturesDf = pd.read_csv(str(mpnAnnotationPath / 'mpnAnnotFeaturesDf8.csv'), index_col=0)\\\n", + " .sort_values(['feature', 'start', 'end', 'strand'])\n", + " if len(colList) != len(mpnAnnotFeaturesDf.columns):\n", + " print(\"ERROR: manual column list does not have the same number of columns than the dataframe.\")\n", + " else:\n", + " mpnAnnotFeaturesDf = mpnAnnotFeaturesDf[colList]\n", + "\n", + " mpnPlot = mpnAnnotFeaturesDf[(mpnAnnotFeaturesDf.id == 'ncMPN014') &\n", + " (mpnAnnotFeaturesDf.feature == 'ncRNA')\n", + " ].iloc[0]\n", + "\n", + " xPad = 30\n", + " x0 = mpnPlot['start'] - xPad\n", + " x1 = mpnPlot['end'] + xPad\n", + "\n", + " fig1, ax = plt.subplots(figsize=(11,3), dpi=400)\n", + " ax.scatter(x=list(range(x0, x1)), y=np.random.random(x1 - x0))\n", + " ax.set_xlim([x0, x1])\n", + " ax.set_ylim([0, 1.5])\n", + "\n", + " DNAFeatList = [('ncMPN015',\n", + " [{'start':53 + mpnPlot['start'], 'end':56 + mpnPlot['start'],\n", + " 'fontPropDict':{'bbox':dict(facecolor='red', alpha=0.4, edgecolor='blue', pad=0.0)}},\n", + " {'start':3 + mpnPlot['start'], 'end':6 + mpnPlot['start'], 'highlightColor':'red'}\n", + " ]\n", + " )]\n", + "\n", + " plot_add_annotations(ax=ax, fig=fig1, mpnAnnotFeaturesDf=mpnAnnotFeaturesDf, ncRNA=True, idCol='id',\n", + " DNAFeatList=DNAFeatList)\n", + "\n", + " if savefig:\n", + " fig1.savefig('biograpy_test3.png')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + }, + "toc": { + "colors": { + "hover_highlight": "#DAA520", + "navigate_num": "#000000", + "navigate_text": "#333333", + "running_highlight": "#FF0000", + "selected_highlight": "#FFD700", + "sidebar_border": "#EEEEEE", + "wrapper_background": "#FFFFFF" + }, + "moveMenuLeft": true, + "nav_menu": { + "height": "12px", + "width": "252px" + }, + "navigate_menu": true, + "number_sections": true, + "sideBar": true, + "threshold": 4, + "toc_cell": false, + "toc_section_display": "block", + "toc_window_display": false, + "widenNotebook": false + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/examples/biograpy_example.py b/examples/biograpy_example.py new file mode 100755 index 0000000..f715b83 --- /dev/null +++ b/examples/biograpy_example.py @@ -0,0 +1,194 @@ + +# coding: utf-8 + +# In[1]: + +import matplotlib +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +from matplotlib.font_manager import FontProperties +import numpy as np +from pathlib import Path + +import biograpy +from Bio.SeqFeature import SeqFeature, FeatureLocation +from Bio.Seq import Seq + +savefig = False + + +# In[2]: + +if False: + fig1, ax = plt.subplots(figsize=(10,3), dpi=300) + + ax.scatter(x=list(range(0, 1200)), y=np.random.random(1200)) + ax.set_xlim([0,1200]) + ax.set_ylim([0,2]) + + # We use the package biograpy to plot Panel, tracks, and features + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + track.add_feature(biograpy.features.Simple(name='Simple1', start = 50, end = 300)) + + genefeat = SeqFeature(FeatureLocation(100,500), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature1')) + + track.add_feature(biograpy.features.Simple(name='Simple_colored1', start = 500, end = 820, color_by_cm=False, fc='r')) + + track.add_feature(biograpy.features.GeneSeqFeature(genefeat,name='GeneSeqFeature2_colored',fc='r')) + + genefeat = SeqFeature(FeatureLocation(800,810), type='gene', strand=1) + track.add_feature(biograpy.features.GeneSeqFeature(genefeat, name='GeneSeqFeature_very_short')) + + CDS_feature = SeqFeature(FeatureLocation(180,1000), type='CDS', strand=-1) + mRNA_feature = SeqFeature(FeatureLocation(180,1100), type='mRNA', strand=-1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandm', ec='k') + track.add_feature(mRNAandCDSfeat) + + CDS_feature = SeqFeature( FeatureLocation(200,600), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(100,800), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_strandp_colored', ec='r', fc='r') + track.add_feature(mRNAandCDSfeat) + + CDS_feature = SeqFeature( FeatureLocation(250,260), type='CDS', strand=1) + mRNA_feature = SeqFeature( FeatureLocation(220,300), type='mRNA', strand=1) + mRNAandCDSfeat = biograpy.features.CoupledmRNAandCDS(mRNA_feature, CDS_feature, name='CoupledmRNAandCDS1_very_short') + track.add_feature(mRNAandCDSfeat) + + geneSeqfeat = SeqFeature( FeatureLocation(900,200), type = 'gene', strand=-1) + genefeat = biograpy.features.GeneSeqFeature(geneSeqfeat, name='GeneSeqFeature3_strandm') + track.add_feature(genefeat) + + track2 = biograpy.tracks.BaseTrack(biograpy.features.Simple(name='Simple3_track2', start= 0, end = 80)) + + panel.add_track(track) + panel.add_track(track2) + if savefig: + panel.save('biograpy_test1.png') + panel.close() + else: + panel._draw_tracks() + + + fig1, ax = plt.subplots(figsize=(11,3), dpi=400) + + ax.scatter(x=list(range(0, 100)), y=np.random.random(100)) + ax.set_xlim([0,100]) + ax.set_ylim([0,2]) + + ############################################## + + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + track.add_feature(biograpy.features.TextSequence( + 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDL', + start=10, name="TextSequence1")) + + # There is one limitation to our text features, is that the font size is calculated when creating the + # PrettyTextSequence object, based on the current axis. Therefore, we cannot re-use the PrettyTextSequence + # in another Panel, for example. Possibly in another track with the same dimensions should be ok. + prettyTextFeat = biograpy.features.PrettyTextSequence( + list('KSKDFQVNAYDRN') + + [('A', {'fontproperties':FontProperties(**{'weight':'bold'}), 'size':20}), + ('A', {})] + list('CGIALAVTE') + + [('A', {'fontproperties':FontProperties(**{'weight':'bold', 'size':36})})] + # this gets overridden by automatic font size + [(c, {'bbox':dict(facecolor='blue', alpha=0.4, edgecolor='none', pad=0.0)}) for c in list('ATGCATGC')] + + list('KSKDFQVNAYDRN') + + [(c, {'color':'red'}) for c in list('ATGCATGC')] + + ['B', 'R', 'G', 'C', 'T', 'T', 'A', 'G', 'C'] + + list('MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY'), + start=20, name='PrettyTextSequence1') + track.add_feature(prettyTextFeat) + + panel.add_track(track) + if savefig: + panel.save('biograpy_test2.png') + panel.close() + else: + panel._draw_tracks() + + ############################################## + + + # Here we test the exact same plot but with a longer range in the x axis, in order + # to test the automatic font size of the sequence features. + + fig1, ax = plt.subplots(figsize=(11,3), dpi=400) + + ax.scatter(x=list(range(0, 200)), y=np.random.random(200)) + ax.set_xlim([0,200]) + ax.set_ylim([0,2]) + + # We use the package biograpy to plot Panel, tracks, and features + panel = biograpy.Panel(fig1) + track = biograpy.tracks.BaseTrack() + + track.add_feature(biograpy.features.TextSequence( + 'MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHYDQLVVASGAWPICMNVENEVTHTQLQFNHTDKYCGNIKNLISCKLYQHALTLIDSFRHDKSIKSVAIVGSGYIGLELAEAAWQCGKQVTVIDMLDKPAGNNFDEEFTNELEKAMKKAGINLMMGSAVKGFIVDADKNVVKGVETDKGRVDADLVIQSIGFRPNTQFVPKDRQFEFNRNGSIKVNEYLQALNHENVYVIGGAAAIYDAASEQYENIDLATNAVKSGLVAAMHMIGSKAVKLESIVGTNALHVFGLNLAATGLTEKRAKM', + start=10, name="TextSequence1")) + + prettyTextFeat = biograpy.features.PrettyTextSequence( + list('KSKDFQVNAYDRN') + + [('A', {'fontproperties':FontProperties(**{'weight':'bold'}), 'size':20}), + ('A', {})] + list('CGIALAVTE') + + [('A', {'fontproperties':FontProperties(**{'weight':'bold', 'size':36})})] + # this gets overridden by automatic font size + [(c, {'bbox':dict(facecolor='blue', alpha=0.4, edgecolor='none', pad=0.0)}) for c in list('ATGCATGC')] + + list('KSKDFQVNAYDRN') + + [(c, {'color':'red'}) for c in list('ATGCATGC')] + + ['B', 'R', 'G', 'C', 'T', 'T', 'A', 'G', 'C'] + + list('MKKVIVIGVNHAGTSFIRTLLSKSKDFQVNAYDRNTNISFLGCGIALAVSGVVKNTEDLFYSTPEELKAMGANVFMAHDVVGLDLDKKQVIVKDLATGKETVDHY'), + start=20, name='PrettyTextSequence1') + track.add_feature(prettyTextFeat) + + panel.add_track(track) + if savefig: + panel.save('biograpy_test2b.png') + panel.close() + else: + panel._draw_tracks() + + +# In[4]: + +############################################## + +# We also test the MPN annotations +import json +import pandas as pd +from mwTools.mpn_annotation_tools import plot_add_annotations +from mwTools.paths import p +p = p('isis') +mpnAnnotationPath = p.mpnAnnotationPath + +# Import annotations +with (mpnAnnotationPath / 'mpnAnnotFeaturesDf6ColList.json').open('r') as f: + mpnAnnotFeaturesDf6ColList = json.load(f) +mpnAnnotFeaturesDf = pd.read_json(str(mpnAnnotationPath / 'mpnAnnotFeaturesDf6B.json'))[mpnAnnotFeaturesDf6ColList] + + +mpnPlot = mpnAnnotFeaturesDf[(mpnAnnotFeaturesDf.id == 'ncMPN015') & + (mpnAnnotFeaturesDf.feature == 'ncRNA') + ].iloc[0] + +xPad = 30 +x0 = mpnPlot['start'] - xPad +x1 = mpnPlot['end'] + xPad + +fig1, ax = plt.subplots(figsize=(11,3), dpi=400) +ax.scatter(x=list(range(x0, x1)), y=np.random.random(x1 - x0)) +ax.set_xlim([x0, x1]) +ax.set_ylim([0, 1.5]) + +DNAFeatList = [('ncMPN015', + [{'start':53 + mpnPlot['start'], 'end':56 + mpnPlot['start'], + 'fontPropDict':{'bbox':dict(facecolor='red', alpha=0.4, edgecolor='blue', pad=0.0)}}, + {'start':3 + mpnPlot['start'], 'end':6 + mpnPlot['start'], 'highlightColor':'red'} + ] + )] + +plot_add_annotations(ax=ax, fig=fig1, mpnAnnotFeaturesDf=mpnAnnotFeaturesDf, ncRNA=True, idCol='id', + DNAFeatList=DNAFeatList) + diff --git a/examples/biograpy_test1.png b/examples/biograpy_test1.png new file mode 100755 index 0000000..f94807c Binary files /dev/null and b/examples/biograpy_test1.png differ diff --git a/examples/biograpy_test2.png b/examples/biograpy_test2.png new file mode 100755 index 0000000..634c6d3 Binary files /dev/null and b/examples/biograpy_test2.png differ diff --git a/setup.py b/setup.py index 2c1ea42..f09e350 100644 --- a/setup.py +++ b/setup.py @@ -1,14 +1,14 @@ from setuptools import setup, find_packages import os -version = '1.0b' +version = '1.1' setup(name='biograpy', version=version, description="", - long_description=open("README.txt").read() + "\n" + - open(os.path.join("src", "biograpy", "docs", "HISTORY.txt")).read() + "\n" + - open(os.path.join("src", "biograpy", "docs", "AUTHORS.txt")).read(), + long_description=open("README.md").read() + "\n" + + open(os.path.join("docs", "HISTORY.txt")).read() + "\n" + + open(os.path.join("docs", "AUTHORS.txt")).read(), # Get more strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers classifiers=[ "Programming Language :: Python", @@ -18,8 +18,9 @@ author_email='apierleoni.dev@gmail.com', url='', license='LGPL', - packages=find_packages('src', exclude=['ez_setup']), - package_dir = {'':'src'}, + packages =['biograpy'], +# packages=find_packages(exclude=['ez_setup', 'docs', 'tests*']), +# package_dir={'':'biograpy'}, namespace_packages=['biograpy'], include_package_data=True, zip_safe=False, @@ -27,7 +28,7 @@ 'setuptools', # -*- Extra requirements: -*- 'biopython', - 'matplotlib>=1.0', + 'matplotlib>=2.0.0', 'numpy>=1.1', ], entry_points=""" diff --git a/src/biograpy.egg-info/PKG-INFO b/src/biograpy.egg-info/PKG-INFO index 2f83d17..66e7dd5 100644 --- a/src/biograpy.egg-info/PKG-INFO +++ b/src/biograpy.egg-info/PKG-INFO @@ -1,6 +1,6 @@ -Metadata-Version: 1.0 +Metadata-Version: 1.1 Name: biograpy -Version: 1.0bdev +Version: 1.0b0dev-r0 Summary: UNKNOWN Home-page: UNKNOWN Author: Andrea Pierleoni diff --git a/src/biograpy.egg-info/requires.txt b/src/biograpy.egg-info/requires.txt index b0441e4..0256fb2 100644 --- a/src/biograpy.egg-info/requires.txt +++ b/src/biograpy.egg-info/requires.txt @@ -1,4 +1,4 @@ setuptools biopython matplotlib>=1.0 -numpy>=1.1 \ No newline at end of file +numpy>=1.1 diff --git a/src/biograpy/__init__.py b/src/biograpy/__init__.py deleted file mode 100644 index 8a2de88..0000000 --- a/src/biograpy/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from drawer import Panel -from seqrecord import SeqRecordDrawer, SliceSeqRec - -__import__('pkg_resources').declare_namespace(__name__) diff --git a/src/biograpy/__init__.pyc b/src/biograpy/__init__.pyc deleted file mode 100644 index 04fd586..0000000 Binary files a/src/biograpy/__init__.pyc and /dev/null differ diff --git a/src/biograpy/docs/_build/_sources/TIPS.txt b/src/biograpy/docs/_build/_sources/TIPS.txt deleted file mode 100644 index e103c0a..0000000 --- a/src/biograpy/docs/_build/_sources/TIPS.txt +++ /dev/null @@ -1,35 +0,0 @@ -.. _tips: - -======= -TIPS -======= - -REQUIREMENTS -------------------------------------------- -* MatPlotLib 1.0 or above - -* BioPython - - -WebServer Installation tips -------------------------------------------- - -1. -When deploying in web application call: -:: - - import os - os.environ['HOME'] = '/tmp' - -before import biograpy to make matplotlib work - - -2. - -After saving the image call -:: - - panel.close() - -to free matplotlib data from memory - diff --git a/src/biograpy/docs/api.txt b/src/biograpy/docs/api.txt deleted file mode 100644 index ff3e0bc..0000000 --- a/src/biograpy/docs/api.txt +++ /dev/null @@ -1,186 +0,0 @@ -.. _api: - - - -=== -API -=== - - :Release: |version| - :Date: |today| - -.. automodule:: biograpy - :members: - :show-inheritance: - :undoc-members: - -===== -Panel -===== - -Panel -____________ - -.. autoclass:: biograpy.drawer.Panel - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -====== -Tracks -====== - -BaseTrack -________________ - -.. autoclass:: biograpy.tracks.BaseTrack - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -PlotTrack -________________ - -.. autoclass:: biograpy.tracks.PlotTrack - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -======== -Features -======== - -BaseGraphicFeature -___________________________ - -.. autoclass:: biograpy.features.BaseGraphicFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -Simple -_______________ - -.. autoclass:: biograpy.features.Simple - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -GenericSeqFeature -__________________________ - -.. autoclass:: biograpy.features.GenericSeqFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -GeneSeqFeature -_______________________ - -.. autoclass:: biograpy.features.GeneSeqFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -PlotFeature -____________________ - -.. autoclass:: biograpy.features.PlotFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -BarPlotFeature -____________________ - -.. autoclass:: biograpy.features.BarPlotFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -TextSequence -____________________ - -.. autoclass:: biograpy.features.TextSequence - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -SegmentedSeqFeature -____________________________ - -.. autoclass:: biograpy.features.SegmentedSeqFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -CoupledmRNAandCDS -__________________________ - -.. autoclass:: biograpy.features.CoupledmRNAandCDS - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -SinglePositionFeature -______________________________ - -.. autoclass:: biograpy.features.SinglePositionFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -TMFeature -__________________ - -.. autoclass:: biograpy.features.TMFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -SecStructFeature -_________________________ - -.. autoclass:: biograpy.features.SecStructFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - -DomainFeature -______________ - -.. autoclass:: biograpy.features.DomainFeature - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - - -========= -Seqrecord -========= - -SeqRecordDrawer -___________________________ - -.. autoclass:: biograpy.seqrecord.SeqRecordDrawer - :members: - :show-inheritance: - :inherited-members: - :undoc-members: - diff --git a/src/biograpy/drawer.pyc b/src/biograpy/drawer.pyc deleted file mode 100644 index 28c9486..0000000 Binary files a/src/biograpy/drawer.pyc and /dev/null differ diff --git a/src/biograpy/features.pyc b/src/biograpy/features.pyc deleted file mode 100644 index f58bf5b..0000000 Binary files a/src/biograpy/features.pyc and /dev/null differ diff --git a/src/biograpy/seqrecord.pyc b/src/biograpy/seqrecord.pyc deleted file mode 100644 index 02f98f9..0000000 Binary files a/src/biograpy/seqrecord.pyc and /dev/null differ diff --git a/src/biograpy/tests/__init__.py b/src/biograpy/tests/__init__.py deleted file mode 100644 index 792d600..0000000 --- a/src/biograpy/tests/__init__.py +++ /dev/null @@ -1 +0,0 @@ -# diff --git a/src/biograpy/tests/test_doctest.py b/src/biograpy/tests/test_doctest.py deleted file mode 100644 index e88fa45..0000000 --- a/src/biograpy/tests/test_doctest.py +++ /dev/null @@ -1,11 +0,0 @@ -import unittest -import doctest - -def test_suite(): - return unittest.TestSuite([ - doctest.DocFileSuite('README.txt', package='biograpy'), - ]) - -if __name__ == '__main__': - unittest.main(defaultTest='test_suite') - diff --git a/src/biograpy/tests/test_drawer.py b/src/biograpy/tests/test_drawer.py deleted file mode 100644 index 2702c9f..0000000 --- a/src/biograpy/tests/test_drawer.py +++ /dev/null @@ -1,28 +0,0 @@ -import unittest -import tempfile -import Image -from biograpy import Panel, tracks, features - -class TestDrawer(unittest.TestCase): - def test_simple_features(self): - panel=Panel(fig_width=1000)#initialize a drawer - test_track = tracks.BaseTrack(features.Simple(name='feat1',start=100,end=756,), - features.Simple(name='feat2',start=300,end=1056,), - features.Simple(name='feat3',start=600,end=1356,), - features.Simple(name='feat4',start=800,end=1356,), - features.Simple(name='feat5',start= 1357,end=1806,), - name = 'test') - panel.add_track(test_track) - fh = tempfile.TemporaryFile() - panel.save(fh, format='png') - fh.seek(0) - img = Image.open(fh) - #self.assertEqual(img.size, (1000, 220)) - self.assertEqual(img.format, 'PNG') - -def test_suite(): - return unittest.makeSuite(TestDrawer) - -if __name__ == '__main__': - unittest.main(defaultTest='test_suite') - diff --git a/src/biograpy/tests/test_remote_dbfetch.py b/src/biograpy/tests/test_remote_dbfetch.py deleted file mode 100644 index cdc9fdc..0000000 --- a/src/biograpy/tests/test_remote_dbfetch.py +++ /dev/null @@ -1,19 +0,0 @@ - -from Bio import SeqIO -import urllib - -def test_uniprot(): - from biograpy.seqrecord import SeqRecordDrawer - test_entry = 'S4A7_HUMAN' - seqrec = SeqIO.read(urllib.urlopen('http://www.ebi.ac.uk/Tools/webservices/rest/dbfetch/uniprotkb/%s/uniprotxml'%test_entry), 'uniprot') - handler = SeqRecordDrawer(seqrec, fig_width=1000) - fh = tempfile.TemporaryFile() - handler.save(fh + '.png') - fh.seek(0) - img = Image.open(fh) - self.assertEqual(img.format, 'PNG') - - - -if __name__ == '__main__': - test_uniprot() \ No newline at end of file diff --git a/src/biograpy/tests/test_seqrecord.py b/src/biograpy/tests/test_seqrecord.py deleted file mode 100644 index fc872bb..0000000 --- a/src/biograpy/tests/test_seqrecord.py +++ /dev/null @@ -1,46 +0,0 @@ -import unittest -import os -import tempfile -import Image -from Bio import SeqIO -from biograpy import Panel, tracks, features, seqrecord - -class TestSeqrecord(unittest.TestCase): - def setUp(self): - self.emblpath = os.path.sep.join([os.path.dirname(__file__), "factor7.embl"]) - self.seqr=SeqIO.parse(open(self.emblpath), 'embl').next() - - def test_embl(self): - handler = seqrecord.SeqRecordDrawer(self.seqr, fig_width=1000) - (fhandle, fname) = tempfile.mkstemp(suffix='.png') - os.close(fhandle) - handler.save(fname) - img = Image.open(fname) - self.assertEqual(img.size, (1250, 587)) - self.assertEqual(img.format, 'PNG') - os.unlink(fname) - - def test_embl_500x500(self): - handler = seqrecord.SeqRecordDrawer(self.seqr, fig_width=500, fig_height=500) - (fhandle, fname) = tempfile.mkstemp(suffix='.png') - os.close(fhandle) - handler.save(fname) - img = Image.open(fname) - self.assertEqual(img.size, (625, 625)) - self.assertEqual(img.format, 'PNG') - os.unlink(fname) - - def test_patches(self): - # TODO: test - pass - - def test_keeporder(self): - # TODO: test - pass - -def test_suite(): - return unittest.makeSuite(TestSeqrecord) - -if __name__ == '__main__': - unittest.main(defaultTest='test_suite') - diff --git a/src/biograpy/tests/test_tutorial.py b/src/biograpy/tests/test_tutorial.py deleted file mode 100644 index 977082a..0000000 --- a/src/biograpy/tests/test_tutorial.py +++ /dev/null @@ -1,117 +0,0 @@ -import unittest -import os -import tempfile -import Image -from Bio import SeqIO -from plone4bio.graphics import Panel -from plone4bio.graphics import features - -# inspired by BioPerl Tutorial from http://bioperl.org/wiki/HOWTO:Graphics - -class TestTutorial(unittest.TestCase): - def setUp(self): - # hit score start end - self.data1 = [ - ('hsHOX3', '381', 2, 200), - ('scHOX3', '210', 2, 210), - ('xlHOX3', '800', 2, 200), - ('hsHOX2', '1000', 380, 921), - ('scHOX2', '812', 402, 972), - ('xlHOX2', '1200', 400, 970), - ('BUM', '400', 300, 620), - ('PRES1', '127', 310, 700), - ] - - def test_example1(self): - """ - # This is code example 1 in the Graphics-HOWTO - use strict; - use Bio::Graphics; - use Bio::SeqFeature::Generic; - my $panel = Bio::Graphics::Panel->new(-length => 1000, -width => 800); - my $track = $panel->add_track(-glyph => 'generic', -label => 1); - while (<>) { # read blast file - chomp; - next if /^\#/; # ignore comments - my($name,$score,$start,$end) = split /\t+/; - my $feature = Bio::SeqFeature::Generic->new( - -display_name => $name, - -score => $score, - -start => $start, - -end => $end - ); - $track->add_feature($feature); - } - print $panel->png; - """ - # TODO: drawer vs. panel+track - panel = Panel(xmin = 1, xmax = 1000) - for data in self.data1: - feature = features.Simple(name=data[0], score=data[1], start=data[2], end=data[3]) - panel.add_feature(feature) - fh = tempfile.TemporaryFile() - panel.save(fh, format='png') - fh.seek(0) - img = Image.open(fh) - #self.assertEqual(img.size, (1000, 300)) - self.assertEqual(img.format, 'PNG') - # panel.save('/tmp/xxx.png') - # os.system('firefox /tmp/xxx.png') - - # TODO: implements pad_left/right - def test_example2(self): - """ - Example 2. Rendering the blast hit file with scores and scale - - #!/usr/bin/perl - # This is code example 2 in the Graphics-HOWTO - use strict; - use lib '/home/lstein/projects/bioperl-live'; - use Bio::Graphics; - use Bio::SeqFeature::Generic; - my $panel = Bio::Graphics::Panel->new( - -length => 1000, - -width => 800, - -pad_left => 10, - -pad_right => 10, - ); - my $full_length = Bio::SeqFeature::Generic->new( - -start => 1, - -end => 1000, - ); - $panel->add_track($full_length, - -glyph => 'arrow', - -tick => 2, - -fgcolor => 'black', - -double => 1, - ); - my $track = $panel->add_track( - -glyph => 'graded_segments', - -label => 1, - -bgcolor => 'blue', - -min_score => 0, - -max_score => 1000, - ); - while (<>) { # read blast file - chomp; - next if /^\#/; # ignore comments - my($name,$score,$start,$end) = split /\t+/; - my $feature = Bio::SeqFeature::Generic->new( - -display_name => $name, - -score => $score, - -start => $start, - -end => $end - ); - $track->add_feature($feature); - } - print $panel->png; - """ - # TODO - pass - -def test_suite(): - return unittest.makeSuite(TestTutorial) - -if __name__ == '__main__': - unittest.main(defaultTest='test_suite') - diff --git a/src/biograpy/tests/test_uniprot.png b/src/biograpy/tests/test_uniprot.png deleted file mode 100644 index 5b6f77f..0000000 Binary files a/src/biograpy/tests/test_uniprot.png and /dev/null differ diff --git a/src/biograpy/tests/uniprot.png b/src/biograpy/tests/uniprot.png deleted file mode 100644 index a67799a..0000000 Binary files a/src/biograpy/tests/uniprot.png and /dev/null differ diff --git a/src/biograpy/tracks.pyc b/src/biograpy/tracks.pyc deleted file mode 100644 index d9e0fb9..0000000 Binary files a/src/biograpy/tracks.pyc and /dev/null differ diff --git a/src/test.png b/src/test.png deleted file mode 100644 index c337bda..0000000 Binary files a/src/test.png and /dev/null differ diff --git a/src/test.profile b/src/test.profile deleted file mode 100644 index e679c60..0000000 Binary files a/src/test.profile and /dev/null differ diff --git a/src/test_readme.py b/src/test_readme.py deleted file mode 100644 index 186c30d..0000000 --- a/src/test_readme.py +++ /dev/null @@ -1,15 +0,0 @@ - - - - -from biograpy import Panel, tracks, features -panel=Panel(fig_width=1000, )#initialize a drawer -test_track = tracks.BaseTrack(features.Simple(name='feat1',start=100,end=756,), - features.Simple(name='feat2',start=300,end=1056,), - features.Simple(name='feat3',start=600,end=1356,), - features.Simple(name='feat4',start=800,end=1356,), - features.Simple(name='feat5',start= 1357,end=1806,), - name = 'test') -panel.append(test_track) - -panel.save('test.png') diff --git a/src/biograpy/tests/BLASTalignment.xml b/tests/BLASTalignment.xml similarity index 100% rename from src/biograpy/tests/BLASTalignment.xml rename to tests/BLASTalignment.xml diff --git a/build/lib/biograpy/tests/__init__.py b/tests/__init__.py similarity index 100% rename from build/lib/biograpy/tests/__init__.py rename to tests/__init__.py diff --git a/tests/factor7.embl b/tests/factor7.embl new file mode 100644 index 0000000..dff7a2e --- /dev/null +++ b/tests/factor7.embl @@ -0,0 +1,323 @@ +ID HSCFVII standard; DNA; HUM; 12850 BP. +XX +AC J02933; +XX +SV J02933.1 +XX +DT 02-APR-1988 (Rel. 15, Created) +DT 02-JUL-1999 (Rel. 60, Last updated, Version 6) +XX +DE Human blood coagulation factor VII gene, complete cds. +XX +KW coagulation factor; coagulation factor VII. +XX +OS Homo sapiens (human) +OC Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Mammalia; Eutheria; +OC Primates; Catarrhini; Hominidae; Homo. +XX +RN [1] +RP 1-12850 +RX MEDLINE; 87260948. +RA O'Hara P.J., Grant F.J., Haldeman B.A., Gray C.L., Insley M.Y., Hagen F.S., +RA Murray M.J.; +RT "Nucleotide sequence of the gene coding for human factor VII, a vitamin +RT K-dependent protein participating in blood coagulation"; +RL Proc. Natl. Acad. Sci. U.S.A. 84(15):5158-5162(1987). +XX +RN [2] +RP 856-12446 +RX MEDLINE; 88329723. +RA O'Hara P.J., Grant F.J.; +RT "The human factor VII gene is polymorphic due to variation in repeat copy +RT number in a minisatellite"; +RL Gene 66(1):147-158(1988). +XX +DR GDB; 119897; F7. +DR SWISS-PROT; P08709; FA7_HUMAN. +XX +CC [2] minisatellite imperfect repeats only. +CC Draft entry and computer-readable copy of sequence in [1] kindly +CC provided by P.J.O'Hara, 26-JUN-1987. +XX +FH Key Location/Qualifiers +FH +FT source 1..12850 +FT /db_xref="taxon:9606" +FT /organism="Homo sapiens" +FT /map="13q34" +FT prim_transcript 487..12686 +FT /note="factor VII pre-mRNA (alt.)" +FT prim_transcript 487..12660 +FT /note="factor VII pre-mRNA (alt.)" +FT prim_transcript 487..12664 +FT /note="factor VII pre-mRNA (alt.)" +FT exon <522..585 +FT /note="factor VII; G00-119-897" +FT /gene="F7" +FT gene 522..585 +FT /gene="F7" +FT CDS join(522..585,1654..1719,4294..4454,6383..6407,6478..6591, +FT 8307..8447,9419..9528,10124..10247,11064..11659) +FT /codon_start=1 +FT /db_xref="SWISS-PROT:P08709" +FT /note="factor VII" +FT /protein_id="AAA51983.1" +FT /translation="MVSQALRLLCLLLGLQGCLAAGGVAKASGGETRDMPWKPGPHRVF +FT VTQEEAHGVLHRRRRANAFLEELRPGSLERECKEEQCSFEEAREIFKDAERTKLFWISY +FT SDGDQCASSPCQNGGSCKDQLQSYICFCLPAFEGRNCETHKDDQLICVNENGGCEQYCS +FT DHTGTKRSCRCHEGYSLLADGVSCTPTVEYPCGKIPILEKRNASKPQGRIVGGKVCPKG +FT ECPWQVLLLVNGAQLCGGTLINTIWVVSAAHCFDKIKNWRNLIAVLGEHDLSEHDGDEQ +FT SRRVAQVIIPSTYVPGTTNHDIALLRLHQPVVLTDHVVPLCLPERTFSERTLAFVRFSL +FT VSGWGQLLDRGATALELMVLNVPRLMTQDCLQQSRKVGDSPNITEYMFCAGYSDGSKDS +FT CKGDSGGPHATHYRGTWYLTGIVSWGQGCATVGHFGVYTRVSQYIEWLQKLMRSEPRPG +FT VLLRAPFP" +FT intron 586..1653 +FT /note="intron A1" +FT exon 1654..1719 +FT /note="optional" +FT intron 1720..4293 +FT /note="intron A" +FT exon 4294..4454 +FT /number=2 +FT intron 4455..6382 +FT /note="intron B" +FT exon 6383..6407 +FT /number=3 +FT intron 6408..6477 +FT /note="intron C" +FT exon 6478..6591 +FT /number=4 +FT intron 6592..8306 +FT /note="Intron D" +FT exon 8307..8447 +FT /number=5 +FT intron 8448..9418 +FT /note="Intron E" +FT exon 9419..9528 +FT /number=6 +FT intron 9529..10123 +FT /note="Intron F" +FT exon 10124..10247 +FT /number=7 +FT intron 10248..11063 +FT /note="Intron G" +FT exon 11064..>11659 +FT /note="factor VII" +XX +SQ Sequence 12850 BP; 2532 A; 3888 C; 3902 G; 2528 T; 0 other; + cccggcactt ctcagtgagg ctctgtggct cacctaagaa accagcctcc cttgcaggca 60 + acgcctagct ggcctggtct ggaggctctc ttcaaatatt tacatccaca cccaagatac 120 + ggtcttgaga tttgactcgc atgattgcta tgggacaagt tttcatctgc agtttaaatc 180 + tgtttcccaa cttacattag gggtttggaa ttctagatcg tatttgaagt gttggtgcca 240 + cacacacctt aacacctgca cgctggcaac aaaaccgtcc gctctgcagc acagctgggg 300 + tcacctgacc tttctcctgt cccccccact tgagctcagt ggctgggcag caggggatgc 360 + atggccactg gcggccaggt gcagctctca gctggggtgt tcagaggacg cctgtgtcct 420 + cccctccccc atccctctgt cacccttgga ggcagagaac tttgcccgtc agtcccatgg 480 + ggaatgtcaa caggcagggg cagcactgca gagatttcat catggtctcc caggccctca 540 + ggctcctctg ccttctgctt gggcttcagg gctgcctggc tgcaggtgcg tccggggagg 600 + ttttctccat aaacttggtg gaagggcagt gggcaaatcc aggagccagc ccgggcttcc 660 + caaaccccgc ccttgctccg gacaccccca tccaccagga gggttttctg gcggctcctg 720 + ttcaatttct ttccttctag aaaccagcat ccaggcacag gaggggaggc ccttcttggt 780 + agcccaggct ttggcgggat tatttttcaa agaactttag gagtgggtgg tgctttcctg 840 + gcccccatgg ccctgcctgt gaggtcggac aagcgcaggg agtctggggc ctctcagagt 900 + gcaggaagtg cgcacagggt gctcccaggc tggggagcac aggtagggga cggtgcgtgg 960 + gggatggcgc ctggggcatg ggggatgggg tgtgggaaac ggcatgtggg gcgtagggga 1020 + tggggtgtgg aggatcgggg gtggggatgg cgtgtggggt gtgggggatg ggccgtgggg 1080 + gggtggggcc tgggaaacag catgtggggc atggggtgtg ggggtgaggt gtgggaaagt 1140 + gtgtggggtg tgggggatgg ggcatggaaa gggcgtgtgg ggtgcagggg atggggcatg 1200 + gaggtgtggg ggatggggtg tgtggggtgt cggggatggg gcatgtgggg tgtgggggat 1260 + ggggcatgga aaggcgtgtg gggtgcagag gatggggcat ggaggtctgg ggcatggggt 1320 + gtgtggggtg tcggggatgg ggcatggaaa gggtgtgtgg ggtgtgggga tagggtcagg 1380 + ggatggcgtg gggggtgtgg catggggatg gcacgtgtgg catggggatg gggatggggg 1440 + gtggggcatg gccgagtggg gctggggctg ggaatggtga gtggggcatg gggatggcga 1500 + gtagggggtg tggcgtgagg atggctagtg gggcgtgggg atggcgtgtg gggatggcga 1560 + gtggggggtg ggctgtgagg gacagtgcct gggatgtggc tgcagcccta gctcacagca 1620 + tggccttatg accccggcca ccttcctgcc caggcggggt cgctaaggcc tcaggaggag 1680 + aaacacggga catgccgtgg aagccggggc ctcacagagg tgagcaggga ctgccactgg 1740 + ttttgtcctg gggcccagtg ggggcaacat cacctccttc ccctcccatg gcaaagagcc 1800 + agcccgcggg gtggctactg cagtgccccc caaggagggt gttccctgct cgagaggaag 1860 + tgaccgctcc agcttggcct tccctgggac tggggtgcag gcgattttat cttctttgct 1920 + ccattctgtt ccttccagat aatcgtgtgt tcttcatcag gttttcctca gttcttgaga 1980 + gcttttctga tgcaaatctg ctttcacccc agggcggtca ccggctctgc tcacaccagc 2040 + ctccaagggt gtgggtgtcc cgggagtgtg ggtgtcccgg gggcgtgggt gtcccgggag 2100 + tgtgggtgtc ccgggggcgt gggtgtcccg ggagtgtggg tgtcccgggg gcgtgggtgt 2160 + cccgggagtg tgggtgtccc gggggagtgg gtgtcccggg agtgtgggtg tcccaggggc 2220 + gtgggtgtcc cgggagtgtg ggtgtcccgg gggcgtgggt gtcccgggag tgtgggtgtc 2280 + ccggaggcga gggtgtcccg ggagtgtggg tgtcccgggg gcgtgggtgt cccgggagtg 2340 + tgggtgtccc gggggagtgg gtgtcccggg agtgtgggtg tcccaggggc gtgggtgtcc 2400 + cgggagtgtg ggtgtcccgg gggcgtgggt gtcccgggag tgtgggtgtc ccggagcgag 2460 + ggtgtcccgg gagtgtgggt gtcccggggg cgtgggtgtc ccggaggcga gggtgtccca 2520 + ggagtgtggg tgtcccgggg gcgtgggtgt cccgggagtg tgggtgtccc ggaggcgagg 2580 + gtgtcccggg agtgtgggtg tcccgggggc gtgggtgtcc cggaggcgag ggtgtcccag 2640 + gagtgtgggt gtcccggggg cgtgggtgtc ccgggagtgt gggtgttcca gaggcgaggg 2700 + tatcccagaa gtgtgagtgt cccgggggtg tgggtgtccc gggggcgtgg gtgtcccggg 2760 + agtgtgggtg tcccgggggc gtgggtatcc cagaagtgtg agtgtcccag gggcgtgggt 2820 + gtccgggggc gtgggtgtcc cgggggtgtg ggtgtcccgg gggtcgtggg tgtcccggga 2880 + gcgtgggtgt cggggactgc agggacatgg gcctcccctc ccactcctgc cgcccagggc 2940 + acctcctgtg aggactcgga gtccgtgagt tcccacctcc ttgagcccga ttctttggtg 3000 + tccccgcctg catcctcagc ctccttccaa accagaccag ttctctaggg gcgtcgacgt 3060 + gtgaaactga ttttaaagaa aacaggcggt ggcctttctc tcggccccac gtggcccagt 3120 + agcgctcacc ttccgtccct tcttccgcgc tcagtaacca atttaggccg ctcctgcaga 3180 + actcgggctc ctgcccaccg gcccacagcg tccacctgag gcctcttcct cccagcaaag 3240 + gtcgtccctc cggaacgcgc ctcctgcggc ctctccagag cccctcccgc gcgtcctctc 3300 + agccccgctc gcctcctccc ggggcctccc tctcccgcct gcccccaggc ccgtctccct 3360 + cgcgggctga ggcaggttcg gcagcacggc gcccggggcg ggggtcactc tccaccaccg 3420 + cgtggtgccc acagctcacg gcgctcccgg gtgacggtcc cctcggctgt agggcgtcct 3480 + gaagagcggc ctgctcggag ctgagcgcac ggggttgcct gcccctgggc gtctctggcc 3540 + ctcaccagcc ccgtcttccc atgggcaaaa cggcggtcct gtttgtccac aagtaaccgt 3600 + cggggttacg gaggggccag gagctgcggc ggggggctgt gctctcagga ccggccccag 3660 + gaggatccgc gcgaggtctg gagctctcag gggtcgcggg ggacagaggg gccccaagcg 3720 + gaggcgggaa ggcggcagaa gcccaggacc gccaagagct ggcgaggaag cccggggctc 3780 + gctgtcgggg gagccgggca ggggccgcgc ctcggcacca ggacgcgagg cctgggaagg 3840 + cggatctggc cgcgagcacg cggtgcgggt ggagacgcag ggatttggat ttccgcgggc 3900 + gctgcacgga tttccacgcg cggttcacgt gggccccagg gggtgcccgg cacccggggc 3960 + cgcgccgcct tctcctgccc ggcatcgacc cgcagcctca cgtttaccgc ggcgcccgca 4020 + gcccccttcg cccgcttccg cgcgtgcccc cgagcgcgcc ctcgggatca gcccccggaa 4080 + gcagagaggc caggccggga aggatgggcg aacggggtgg ctgacccggg agcacggcag 4140 + ggaggacacc cagccaggcc cgcgagcagc gccgctcccc tcctccagga cgggcgggaa 4200 + cctgcgatgc ccccgccgcg tgggccgtgg ggcggtctcc gaggcactgg gcggggcacg 4260 + cggtgggcgc ttcacggaac tcgcatttcc cagtcttcgt aacccaggag gaagcccacg 4320 + gcgtcctgca ccggcgccgg cgcgccaacg cgttcctgga ggagctgcgg ccgggctccc 4380 + tggagaggga gtgcaaggag gagcagtgct ccttcgagga ggcccgggag atcttcaagg 4440 + acgcggagag gacggtgagc ccagcctcgg ggcgccccgc gcggacactg cacggcggcg 4500 + gtgaaccagg ccgcgtgggg ccgcctgcgt ctctttggct gcggcctgtg ggcggcgaac 4560 + acgcagcggc gcccgcgcgc gcgctctctc tgcgggggtc gctttccgcc cggggtgact 4620 + ccgctttcct gggcgatgcc cccaccccca ggcacgcgct ctccccgtgc ggccgcaccg 4680 + cgcatgccgg ttttcacatc agaaaatacg atttgcacaa gcacacttag ggtgtccccc 4740 + ttaacttccc aagggagtcc ccccagtccc cgaagtccag ggcagcctgc gcatcgcaga 4800 + cgcgcgcggc tcgcagaagg gacgtggtga gaagctggcc cacagcatgc caccagcggc 4860 + acctcctcag ggcacgtgtc ggggagaaac aacacttagg gaccctggga ctttctccag 4920 + ctcacgctca cgggtccacc tcacactacc aagatcacct caatagacgg acactcacac 4980 + agggcacact tcacactcac aggtcacctc acactcacag gacacctcac actcacaggg 5040 + cacacttcac actcacgggt cacctcacac tccaagatca cctaaagagg acacctcaca 5100 + cagggcacac ttcacactca caggtcacac ctcacacaga tcatctcatt ctcacaggac 5160 + acctccctct cacaggtcac ctcacactca caggacacct cacagaggtc acctcacacc 5220 + cacaggacac ctcacagagg tcacctcaca cggggcacac ttcacactca ggtcacctca 5280 + cacccacagg acacctcaca gaggtcacct cacacccaca ggacaactca cagaggtcac 5340 + ctcacacagg acacctcaca aaggtcacct cacacccaca ggacacctca cactcatagg 5400 + cacctcagtc ttacaggaca actcacactc acaggtcacc tatctcacag gacacctcac 5460 + actcacaggt caccttactc tcacaggaca cctcacacag ggcacacttc actccacagg 5520 + tcaccatacc tcacacagat cacctcatac tcacagatca cttcattcat tctcacagga 5580 + tacctcacac tcagggcaca cttcacactc acaggtcaca cctcacacag atcatctcat 5640 + tctcacagga cacctccctc tcacaggtca ccttacactc atctcacact cacaggtcgc 5700 + cacacctcac actcacagga tgcctcacac tcacagaacc acatctcata tgcacaagac 5760 + acctcacact caggacacct catgctcaaa gaagcctcac actcacagga ggtccagctg 5820 + tctgaggcaa aggctaacat gaccctttcc agacaaattg aggatggtca tgcctagcat 5880 + ttttatacac ctagttttga aagcatttct catctgttgt attctcacag caccccgtga 5940 + gtttaagttc aggtggccaa cagtttcttc agcaatcact tttttctgtg gagtgctttt 6000 + gctgtttgtg gaatattttg catctgctac tgcaccctct ccccgtatgt gtggccaccc 6060 + tgtcagaggt ggagctgtgg ctcagagcct gtgtacctcg tcccaggtcc acagctcagc 6120 + gacagaagag tcagggttga acctcgggtg ttctgacttg ggagcaggaa atgtgtggtc 6180 + acccatagtt ccagatgtcc tggggagggg ccaagattag aagaaaccta cctcagctcc 6240 + agaggaaagt ctggcttcct gagcccaccc cgccagaccc aggtccaagt cccccaaccc 6300 + cagttcatgg tgtgtccagt gcttaccgtt gggtgctctg gtgaaggtgc atctcacgag 6360 + gcttgctctc ttgttccttc agaagctgtt ctggatttct tacagtggtg agtggatgat 6420 + caccaccagt cctgcctgca acccttctca gcttactgac accagcccac tccacagatg 6480 + gggaccagtg tgcctcaagt ccatgccaga atgggggctc ctgcaaggac cagctccagt 6540 + cctatatctg cttctgcctc cctgccttcg agggccggaa ctgtgagacg cgtaaggccc 6600 + cactttgggt cccatatttg cagagggccc tggggagctg gtggaggtgg cctggccaac 6660 + cgggctgcag ggtgcaacaa cctggtgggg tgtgtaggcc gggcattcag ggctcagccc 6720 + agttggaaat tggtctaggt gacctttaaa tcccttccag tctgaggtct ttgacaggga 6780 + cccaaggttc tgattatcag actcagtggc ccccttcgcg gtcccggccc tgggcaactt 6840 + ctcagccctg gagactggcc cagttgagag tccctgtgtc ccgtgtgccc attccagatc 6900 + ccacctagct aggtacccgt ttggtaaact tccccttctc ctactttcca ttacaaaggt 6960 + ttgaggggtt tgtttttttt tttaaccatc tgaatattaa attaatcaca aagtttaggg 7020 + cccccaacct cccttgggtt cagtaattca ctagaaggac acatagaaat ccaaatatcc 7080 + actgagtgga tacactcaca ggtaccgttt attacagcaa aggatgcagg cttaagtctg 7140 + cagagggacc agggacaagc ttccccttgt cctctcctgt ggggtcatgt ggacatcctt 7200 + aattctccca gaatgacgtg tgacgagaac gtgggaagta ctgccaaact tggggaacgc 7260 + tacgagcccc gtgtccagag gtttgatcag ggctcaatga catagaccca gctgaccagg 7320 + cacgcatggc tgacctcagt ctcagcccct ccagagctac gccgataatg cggccaaggc 7380 + cccaccatac atcacattgt cagctagacc atccagcatg gctcaaggcc caggtaaaca 7440 + ccaacattcc ctcaggcaag accttccaag ggcttagcgg tcatttccca ggagccaagg 7500 + caaaggctac cctttctctg gcacagcagt tcatccttga ccacccaaga ccacattctt 7560 + acactgaatg agctctcctg tgcagcagcc attttcttct ctaagcagaa gagagcccag 7620 + caagctggag gaggctgaag agagaggctt cctgctggtc atctgggtcc agaatgcctg 7680 + gagatctctg ctcagccctg gtgcccagca gccctggtgt gcatcctgca gggcagcctt 7740 + cccgccggag tcctggactt gctcagggcc actccccttg cccatgtcaa ccaaagtcag 7800 + gctgccggtt ctgcttcttc tgtctgagcc catgaccagt gctgggacta actgtccccc 7860 + aggcgggctc acggtggtac gaggccagct tggagaactg tctcagctct ctggtcctct 7920 + cgtcagttgg gtctctgatt ggaaagtccc ttggacactt taccatcccc attggacttt 7980 + cactttcccc caggctccca tcagctgctc ggaagagtgg tcaccctgga ggccactgcc 8040 + caccagccag gcacccccca aatgcaaccg cagccagcac tgccagccac tggcaaggct 8100 + gttcagacat gtggctcctc tgatccacgc cttgtccttt ggatcagtcc acggagcagt 8160 + gtgccaagct caggctctgt cacccacagc tcatgccacc ttccaggcag aacaccactg 8220 + ctgacccagg ggcatggcca ccccgggggc tggcgtctcg ctgaccccca gaagcccctc 8280 + tcagggtgtc cccttcctgt ccccagacaa ggatgaccag ctgatctgtg tgaacgagaa 8340 + cggcggctgt gagcagtact gcagtgacca cacgggcacc aagcgctcct gtcggtgcca 8400 + cgaggggtac tctctgctgg cagacggggt gtcctgcaca cccacaggtg accaggcttc 8460 + atgtcccagt cccagatgac accagtccct gtcccactag gattatctta ctggacaaaa 8520 + gacgggtggg actggccttc acatctactg agcactaact atgcactgac caattgtgag 8580 + gtgggatctg ggcaccaagg gtggcacagg ccagcagcga ccagtgacta ggatgggcac 8640 + cctgggggca atccctgaat ggcctcaggc cccctgccaa cttctaggca gaccagggga 8700 + gccaagcaag gcactatctc acgtccaact gcccactcgc aggaatcctc cgccagggtt 8760 + catgaatcta cttcggcaca gccaatgtct gtactgactg ctgcccactc tgcattccaa 8820 + aactcgtaaa ggctcctggg aaaatgggat gtttctccaa accagcctgg aacgaatggg 8880 + ctgcacttcc aaaagcaggg acaccccaca cccactgtct ctaaagaggc ggaacgtgcc 8940 + caccctggcc acacagcctg ggactcagcc tgccacctcc tcgggcttcc tttctggccc 9000 + aagaccttga ttgaagcaga tcaaaactaa gcatgggatc aaaacaacac agtttgattc 9060 + atctttaggt agaatttcat tcaccttcta ctaaagtcaa acaacacatc ttctccctga 9120 + aaagtgagca gagggcggtt ttaagacgta agccctctgt ttcctccaaa accagccctg 9180 + accattgtct cctcagccag ccacttcttc aagggcctct catggccggg ccccaccagt 9240 + caggcccagc cgaggccctg ccttccacca cccctgggcc ctgggagctc ctgctcctgg 9300 + gggcctccca tagcctcggc ctcaaggcct ctcagaggat gggtgtttct gaatctttcc 9360 + tagtggcacg ttcatccctc acaaatctct gcatctttct gacttttgtt ttacacagtt 9420 + gaatatccat gtggaaaaat acctattcta gaaaaaagaa atgccagcaa accccaaggc 9480 + cgaattgtgg ggggcaaggt gtgccccaaa ggggagtgtc catggcaggt aaggcttccc 9540 + ctggcttcag gattccaagc cctgagggtc ttgaagcctt ttgaatgtga acaacagctc 9600 + tggaagggaa aatgggcagg tcagcccaag cccacaggct ccaagtcagc acacctagca 9660 + cctccagctc gcggcacccc catgctttta gtggggcaag gaaggagaaa agaaaacgac 9720 + actcactgag ggtctaccct gtgcagagaa ccctgcgaga tgccccatcc gagttgtcac 9780 + gtcgtcctca cggttactct ttgaggtggg atctttgcct gatctttgca aaatcaggag 9840 + cattggatca aagctatgtg aagatcctgt gaggtgaaca gtgaaatctc acagcgacat 9900 + ttgtattctt gggccgtgcc caagagcacg tctcggctag agaggggcac agcctcccag 9960 + agccaggtct gagcagcttt gcctgggagg gatctgcaaa gaccccagga tttcagaaag 10020 + aaattgtgca atgccagagg ttccttggca tgcccgggag ggcgagtcat cagagaaaca 10080 + atgacagcaa tgtgacttcc acacctcctg tccccccgcc caggtcctgt tgttggtgaa 10140 + tggagctcag ttgtgtgggg ggaccctgat caacaccatc tgggtggtct ccgcggccca 10200 + ctgtttcgac aaaatcaaga actggaggaa cctgatcgcg gtgctgggtg ggtaccactc 10260 + tcccctgtcc gaccgcggtg ctgggtgggt gccactcttc cctgtccgac cgcggtgctg 10320 + ggtgggtgcc actctcccct gtccgaccgc ggtgctgggt gggtgccact ctcccctgtc 10380 + cgaccgcggt gctgggtggg tgccactctc cgctgtccga ccgcggtgct gggtgggtac 10440 + cactctcccc tgtctgaccg cagctctcaa gtgtctcagg ggctgtggct ctgggcttcg 10500 + tgctgtcact tccacagaca gacagacatc cccaaaaggg gagcaaccat gctgggcacg 10560 + actgcctgtg gcaccgtgct ctcagccact ttcccatgcc caaataaaac gataaaagac 10620 + tgggggcttc tgcccatcct gcctcacttg accaagagcc cagaagagga tgcgacaccc 10680 + agggcctcat gggaccaccg gctggcaggg gttctgctca ctgggtttat gggtgagacg 10740 + agcactccca ggagggccac tgggccggga agaactgtgg agaatcgggg cacgccctgt 10800 + cctcccagct gccagggcac agcatccctt ccccacctgc aacacccaga ccccagattc 10860 + accccagttc acttgtcccc acacgagcca caggctgcca cctggggcag gctggcccac 10920 + cttggggtta gatgcaggtc cccttgcccc agaaggagac tgcagcccct gcagacctag 10980 + aaatggccac agcccatccc catgcaccag ggggtgaggt ggcaggtggt ggaaagggcc 11040 + tgaggggggc ttcttccttc caggcgagca cgacctcagc gagcacgacg gggatgagca 11100 + gagccggcgg gtggcgcagg tcatcatccc cagcacgtac gtcccgggca ccaccaacca 11160 + cgacatcgcg ctgctccgcc tgcaccagcc cgtggtcctc actgaccatg tggtgcccct 11220 + ctgcctgccc gaacggacgt tctctgagag gacgctggcc ttcgtgcgct tctcattggt 11280 + cagcggctgg ggccagctgc tggaccgtgg cgccacggcc ctggagctca tggtcctcaa 11340 + cgtgccccgg ctgatgaccc aggactgcct gcagcagtca cggaaggtgg gagactcccc 11400 + aaatatcacg gagtacatgt tctgtgccgg ctactcggat ggcagcaagg actcctgcaa 11460 + gggggacagt ggaggcccac atgccaccca ctaccggggc acgtggtacc tgacgggcat 11520 + cgtcagctgg ggccagggct gcgcaaccgt gggccacttt ggggtgtaca ccagggtctc 11580 + ccagtacatc gagtggctgc aaaagctcat gcgctcagag ccacgcccag gagtcctcct 11640 + gcgagcccca tttccctagc ccagcagccc tggcctgtgg agagaaagcc aaggctgcgt 11700 + cgaactgtcc tggcaccaaa tcccatatat tcttctgcag ttaatggggt agaggagggc 11760 + atgggaggga gggagaggtg gggagggaga cagagacaga aacagagaga gacagagaca 11820 + gagagagact gagggagaga ctctgaggac atggagagag actcaaagag actccaagat 11880 + tcaaagagac taatagagac acagagatgg aatagaaaag atgagaggca gaggcagaca 11940 + ggcgctggac agaggggcag gggagtgcca aggttgtcct ggaggcagac agcccagctg 12000 + agcctcctta cctcccttca gccaagcccc acctgcacgt gatctgctgg ccctcaggct 12060 + gctgctctgc cttcattgct ggagacagta gaggcatgaa cacacatgga tgcacacaca 12120 + cacacgccaa tgcacacaca cagagatatg cacacacacg gatgcacaca cagatggtca 12180 + cacagagata cgcaaacaca ccgatgcaca cgcacataga gatatgcaca cacagatgca 12240 + cacacagata tacacatgga tgcacgcaca tgccaatgca cgcacacatc agtgcacacg 12300 + gatgcacaga gatatgcaca caccgatgtg cgcacacaca gatatgcaca cacatggatg 12360 + agcacacaca caccaagtgc gcacacacac cgatgtacac acacagatgc acacacagat 12420 + gcacacacac cgatgctgac tccatgtgtg ctgtcctctg aaggcggttg tttagctctc 12480 + acttttctgg ttcttatcca ttatcatctt cacttcagac aattcagaag catcaccatg 12540 + catggtggcg aatgccccca aactctcccc caaatgtatt tctcccttcg ctgggtgccg 12600 + ggctgcacag actattcccc acctgcttcc cagcttcaca ataaacggct gcgtctcctc 12660 + cgcacacctg tggtgcctgc cacccactgg gttgcccatg attcattttt ggagcccccg 12720 + gtgctcatcc tctgagatgc tcttttcttt cacaattttc aacatcactg aaatgaaccc 12780 + tcacatggaa gctatttttt aaaaacaaaa gctgtttgat agatgtttga ggctgtagct 12840 + cccaggatcc 12850 +// diff --git a/build/lib/biograpy/tests/test_doctest.py b/tests/test_doctest.py similarity index 100% rename from build/lib/biograpy/tests/test_doctest.py rename to tests/test_doctest.py diff --git a/build/lib/biograpy/tests/test_drawer.py b/tests/test_drawer.py similarity index 100% rename from build/lib/biograpy/tests/test_drawer.py rename to tests/test_drawer.py diff --git a/build/lib/biograpy/tests/test_remote_dbfetch.py b/tests/test_remote_dbfetch.py similarity index 100% rename from build/lib/biograpy/tests/test_remote_dbfetch.py rename to tests/test_remote_dbfetch.py diff --git a/build/lib/biograpy/tests/test_seqrecord.py b/tests/test_seqrecord.py similarity index 100% rename from build/lib/biograpy/tests/test_seqrecord.py rename to tests/test_seqrecord.py diff --git a/build/lib/biograpy/tests/test_tutorial.py b/tests/test_tutorial.py similarity index 100% rename from build/lib/biograpy/tests/test_tutorial.py rename to tests/test_tutorial.py diff --git a/src/biograpy/tests/test_uniprot.xml b/tests/test_uniprot.xml similarity index 100% rename from src/biograpy/tests/test_uniprot.xml rename to tests/test_uniprot.xml