1 files changed, 0 insertions, 151 deletions
diff --git a/Code/util_networkx.py b/Code/util_networkx.py
deleted file mode 100755
index b708610..0000000
--- a/Code/util_networkx.py
+++ /dev/null
@@ -1,151 +0,0 @@
-"""
-Data conversion utility for NetworkX
-=====================================
-
-Convert cytoscape.js style graphs from/to NetworkX object.
-
-https://networkx.github.io/
-
-"""
-
-import networkx as nx
-
-# Special Keys
-ID = 'id'
-NAME = 'name'
-DATA = 'data'
-ELEMENTS = 'elements'
-
-NODES = 'nodes'
-EDGES = 'edges'
-
-SOURCE = 'source'
-TARGET = 'target'
-
-DEF_SCALE = 100
-
-
-def __map_table_data(columns, graph_obj):
-    data = {}
-    for col in columns:
-        if col == 0:
-            break
-
-        data[col] = graph_obj[col]
-
-    return data
-
-
-def __create_node(node, node_id):
-    new_node = {}
-    node_columns = node.keys()
-    data = __map_table_data(node_columns, node)
-    # Override special keys
-    data[ID] = str(node_id)
-    data[NAME] = str(node_id)
-
-    if 'position' in node.keys():
-        position = node['position']
-        new_node['position'] = position
-
-    new_node[DATA] = data
-    return new_node
-
-
-def __build_multi_edge(edge_tuple, g):
-    source = edge_tuple[0]
-    target = edge_tuple[1]
-    key = edge_tuple[2]
-    data = edge_tuple[3]
-
-    data['source'] = str(source)
-    data['target'] = str(target)
-    data['interaction'] = str(key)
-    return {DATA: data}
-
-
-def __build_edge(edge_tuple, g):
-    source = edge_tuple[0]
-    target = edge_tuple[1]
-    data = edge_tuple[2]
-
-    data['source'] = str(source)
-    data['target'] = str(target)
-    return {DATA: data}
-
-
-def __build_empty_graph():
-    return {
-        DATA: {},
-        ELEMENTS: {
-            NODES: [],
-            EDGES: []
-        }
-    }
-
-
-def from_networkx(g, layout=None, scale=DEF_SCALE):
-    # Dictionary Object to be converted to Cytoscape.js JSON
-    cygraph = __build_empty_graph()
-
-    if layout is not None:
-        pos = map(lambda position:
-                  {'x': position[0]*scale, 'y': position[1]*scale},
-                  layout.values())
-
-    nodes = g.nodes()
-    if isinstance(g, nx.MultiDiGraph) or isinstance(g, nx.MultiGraph):
-        edges = g.edges(data=True, keys=True)
-        edge_builder = __build_multi_edge
-    else:
-        edges = g.edges(data=True)
-        edge_builder = __build_edge
-
-    # Map network table data
-    cygraph[DATA] = __map_table_data(g.graph.keys(), g.graph)
-
-    for i, node_id in enumerate(nodes):
-        new_node = __create_node(g.node[node_id], node_id)
-        if layout is not None:
-            new_node['position'] = pos[i]
-
-        cygraph['elements']['nodes'].append(new_node)
-
-    for edge in edges:
-        cygraph['elements']['edges'].append(edge_builder(edge, g))
-
-    return cygraph['elements']
-
-
-def to_networkx(cyjs, directed=True):
-    """
-    Convert Cytoscape.js-style JSON object into NetworkX object.
-
-    By default, data will be handles as a directed graph.
-    """
-
-    if directed:
-        g = nx.MultiDiGraph()
-    else:
-        g = nx.MultiGraph()
-
-    network_data = cyjs[DATA]
-    if network_data is not None:
-        for key in network_data.keys():
-            g.graph[key] = network_data[key]
-
-    nodes = cyjs[ELEMENTS][NODES]
-    edges = cyjs[ELEMENTS][EDGES]
-
-    for node in nodes:
-        data = node[DATA]
-        g.add_node(data[ID], attr_dict=data)
-
-    for edge in edges:
-        data = edge[DATA]
-        source = data[SOURCE]
-        target = data[TARGET]
-
-        g.add_edge(source, target, attr_dict=data)
-
-    return g