def load_data(path, file_dict):
all_dbs = os.listdir(path)
assert(set(all_filenames.values()).issubset(set(all_dbs)))
db = LiteDB()
all_keynames = {}
read_keynames = set()
for read_tracename, read_filename in all_filenames.iteritems():
db.load(os.path.join(path, read_filename))
read_keyname = set(db.keys()).difference(read_keynames).pop()
all_keynames.__setitem__(read_tracename, read_keyname)
read_keynames.add(read_keyname)
return(db, all_keynames)
print ("outputFile: %s" % outputFile)
print ("dataName: %s" % dataName)
print ("enableVerbose: %s" % enableVerbose)
print ("heteNames: %s" % heteNames)
print ("asDirected: %s" % asDirected)
if outputFile is not None:
outputDir = os.path.dirname(outputFile)
if outputDir and not (os.path.exists(outputDir)):
os.makedirs(outputDir)
else:
print ("There is no output")
db = LiteDB()
if os.path.exists(outputFile) and enable_appendant:
db.load(outputFile)
for f in inputFile:
print ("processing %s" % f)
if not os.path.exists(f): next
if inputFileType == 'gpickle': # a graph
g = nx.read_gpickle(file(f, "r"))
elif inputFileType == 'edgelist': # edgelist
g = nx.read_edgelist(f, nodetype = int, create_using = nx.DiGraph()) if asDirected else nx.read_edgelist(f, nodetype = int, create_using = nx.Graph())
elif inputFileType == 'cpickle': # a list of graphs
g = cPickle.load(file(f, "r"))
graphs = list()
if heteNames: