def bio3graph_reset_colours(input_dict):
from triplet_extractor import graph_operations as gop
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
gop.reset_edge_colors(nwx)
return {'network': nwx}
def bio3graph_reset_colours(input_dict):
from triplet_extractor import graph_operations as gop
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
gop.reset_edge_colors(nwx)
return {'network': nwx}
def bio3graph_colour_relations(input_dict):
from triplet_extractor import graph_operations as gop
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
rels = input_dict['relations']
gop.colour_relations(nwx, rels)
return {'network': nwx}
def bio3graph_colour_relations(input_dict):
from triplet_extractor import graph_operations as gop
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
rels = input_dict['relations']
gop.colour_relations(nwx, rels)
return {'network': nwx}
def bio3graph_remove_relations(input_dict):
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
relations = input_dict['relations']
for (fr, to, relType) in relations:
if nwx.has_edge(fr, to, relType):
nwx.remove_edge(fr, to, relType)
return {'pruned_graph': nwx}
def bio3graph_remove_relations(input_dict):
from networkx import copy
nwx = copy.deepcopy(input_dict['network'])
relations = input_dict['relations']
for (fr, to, relType) in relations:
if nwx.has_edge(fr, to, relType):
nwx.remove_edge(fr, to, relType)
return {'pruned_graph': nwx}