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import readCSV as reader
import constants
import numpy as np
# graph stats for a collection of graphs
class GraphCollection:
# init with path contrain files and number of files to read reader is imported from (readCSV)
def __init__(self, path, number, name, shouldShuffle = True):
self.out_ds = []
self.nas = []
self.mpcs = []
self.nts = []
self.name = name
self.tccs = []
self.violations = []
models = reader.readmultiplefiles(path, number, shouldShuffle)
print(len(models))
self.size = len(models)
for i in range(len(models)):
contents, out_d, na, mpc = reader.getmetrics(models[i])
self.out_ds.append(out_d)
self.nas.append(na)
self.mpcs.append(mpc)
if(constants.Node_TYPE_KEY in contents):
self.nts.append(contents[constants.Node_TYPE_KEY])
if(constants.TCC_VALUE in contents):
self.tccs.append(contents[constants.TCC_VALUE])
if(constants.VIOLATION in contents):
self.violations.append(contents[constants.VIOLATION][0])
#Graph stat for one graph
class GraphStat:
# init with teh file name of the stat
def __init__(self, filename):
contents, self.out_d, self.na, self.mpc = reader.getmetrics(filename)
self.numNodes = np.array(contents[constants.NUMBER_NODES])
if constants.STATE_ID in contents:
self.id = (contents[constants.STATE_ID])[0]
if constants.Node_TYPE_KEY in contents:
self.nodeTypeStat = contents[constants.Node_TYPE_KEY]
if constants.VIOLATION in contents:
self.violations = int(contents[constants.VIOLATION][0])
if(constants.TCC_VALUE_KEY in contents):
self.tcc = contents[constants.TCC_VALUE_KEY]
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