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%matplotlib inline
import os, sys
import ntpath
from eden.util import display
# -----------------------------------------------------------------------------
In [25]:
from GraphFinder import graphFinder
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#reload(divid_sto_files)
from GraphFinder import divid_sto_files
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files_dir = "StoExamples/StoExmapleSmall"
partition_dir = "StoExamples/partitionsFiles"
pos_class_0_path = "StoExamples/StoClasses/pos_class_0"
pos_class_1_path = "StoExamples/StoClasses/pos_class_1"
neg_class_0_path = "StoExamples/StoClasses/neg_class_0"
neg_class_1_path = "StoExamples/StoClasses/neg_class_1"
files_abs_path = os.path.abspath(files_dir)
partition_abs_path = os.path.abspath(partition_dir)
pos_class_0_abs_path = os.path.abspath(pos_class_0_path)
pos_class_1_abs_path = os.path.abspath(pos_class_1_path)
neg_class_0_abs_path = os.path.abspath(neg_class_0_path)
neg_class_1_abs_path = os.path.abspath(neg_class_1_path)
Class_to_folder = divid_sto_files.classesToFolders(files_abs_path, partition_abs_path, pos_class_0_abs_path, pos_class_1_abs_path, neg_class_0_abs_path, neg_class_1_abs_path)
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file_path = "StoExamples/StoExmapleSmall/positives-sto/550-53949-1-0.sto"
abs_path = os.path.abspath(file_path)
gf = graphFinder.GraphFinder()
Graph = gf.file_to_graph(file_path)
display the created graph
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display.draw_graph(Graph, size=40, node_size=400, font_size=20, node_border=True, prog='neato')
transform the created graph to have the desired type of info(end user specification)
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graph_transform = gf.transform(Graph, use_seq= False, use_cov = False, use_cor = False, use_ent = True)
display.draw_graph(Graph, size=40, node_size=400, font_size=20, node_border=True, prog='neato')
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pos_class_0_path = "StoExamples/StoClasses/pos_class_0"
pos_class_1_path = "StoExamples/StoClasses/pos_class_1"
neg_class_0_path = "StoExamples/StoClasses/neg_class_0"
neg_class_1_path = "StoExamples/StoClasses/neg_class_1"
pos_class_0_abs_path = os.path.abspath(pos_class_0_path)
pos_class_1_abs_path = os.path.abspath(pos_class_1_path)
neg_class_0_abs_path = os.path.abspath(neg_class_0_path)
neg_class_1_abs_path = os.path.abspath(neg_class_1_path)
convert files to graphs
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gf = graphFinder.GraphFinder()
pos_0_Graphs = gf.convert(pos_class_0_abs_path)
pos_1_Graphs = gf.convert(pos_class_1_abs_path)
neg_0_Graphs = gf.convert(neg_class_0_abs_path)
neg_1_Graphs = gf.convert(neg_class_1_abs_path)
transform the created graph to have the desired type of info(end user specification)
In [9]:
for graph in pos_0_Graphs:
transform_pos_0_Graphs = gf.transform(graph, use_seq=True, use_cov = False)
for graph in pos_1_Graphs:
transform_pos_1_Graphs = gf.transform(graph, use_seq=True, use_cov = False)
for graph in neg_0_Graphs:
transform_neg_0_Graphs = gf.transform(graph, use_seq=True, use_cov = False)
for graph in neg_1_Graphs:
transform_neg_1_Graphs = gf.transform(graph, use_seq=True, use_cov = False)
draw the transformed graphs
In [10]:
for G in pos_0_Graphs:
display.draw_graph(G, size=40, node_size=400, font_size=20, node_border=True, prog='neato')
for G in pos_1_Graphs:
display.draw_graph(G, size=40, node_size=400, font_size=20, node_border=True, prog='neato')
for G in neg_0_Graphs:
display.draw_graph(G, size=40, node_size=400, font_size=20, node_border=True, prog='neato')
for G in neg_1_Graphs:
display.draw_graph(G, size=40, node_size=400, font_size=20, node_border=True, prog='neato')