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Fixing print statements #50

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a868ee9
Update README.md
simcard0000 Nov 29, 2018
5eb3c4a
Update README.md
simcard0000 Dec 4, 2018
505586c
Update Centrality.py print statements
simcard0000 Dec 4, 2018
9452dab
Update Structure.py for print statements
simcard0000 Dec 5, 2018
28f39c1
Update EdgeAttribute.py for print statements
simcard0000 Dec 5, 2018
f1739b7
Update MultiGraph.py for print statements
simcard0000 Dec 5, 2018
1b27190
Update NodeAttribute.py for print statements
simcard0000 Dec 5, 2018
90f50af
Update EdgeAttribute.py for print statements
simcard0000 Dec 5, 2018
0a87a10
Update MultiGraph.py for print statements
simcard0000 Dec 5, 2018
8d92682
Update NodeAttribute.py for print statements
simcard0000 Dec 5, 2018
a003378
Update TemporalGraph.py for print statements
simcard0000 Dec 5, 2018
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17 changes: 9 additions & 8 deletions README.md
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@@ -1,17 +1,18 @@
# BellyDynamic [![Build Status](https://travis-ci.org/SamTube405/BellyDynamic.svg?branch=master)](https://travis-ci.org/SamTube405/BellyDynamic)
BellyDynamic: A scalable framework to handle online and offline dynamic graph objects

BellyDynamic: A scalable framework to handle online and offline dynamic graph objects!

## Features:
- [x] Load graphs with node and edge labels (graph annotations)
- [x] An user-defined attribute schema for nodes and edges
- [x] Supports multi-graphs with network annotations
- [x] Represent temporal graphs as labeled graphs with timestamp as an edge attribute
- [x] Handle streaming updates
- [x] Load graphs with node and edge labels (graph annotations).
- [x] An user-defined attribute schema for nodes and edges.
- [x] Supports multi-graphs with network annotations.
- [x] Represent temporal graphs as labeled graphs with timestamp as an edge attribute.
- [x] Handle streaming updates.

## How to run:
- Install [snap] graph mining library (http://snap.stanford.edu/).
- Install [snap] graph mining library: (http://snap.stanford.edu/).
- Test run: https://github.com/scorelab/BellyDynamic/wiki/How-to-Use
Check out the wiki for more information!


## Sponsor:
Google Summer of Code 2017 | SCoRE
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20 changes: 10 additions & 10 deletions bellydynamic-metrics/Centrality.py
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Expand Up @@ -81,31 +81,31 @@ def getOutputFileName(self, suffix):
return self.graphName + suffix + ".txt"

def genGraphInfoBetweeness(self, centrality):
print "\n+++++++++++ %s ++++++++++++" % (centrality)
print "Calculating centrality values..."
print ("\n+++++++++++ %s ++++++++++++" % (centrality))
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@gnomezgrave gnomezgrave Dec 7, 2018

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Seems you're converting the code to Python 3, better to use the Python3 recommended formatting style with {}.

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@simcard0000 simcard0000 Dec 10, 2018

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Sorry for the delay, but if I may ask, can you clarify what you mean by using a formatting style with { }? Do you mean for me to further format the print statements using { }? Or the code in general? Also, if you are looking to transform all the code in the application into Python 3, may I suggest using "2to3", a Python tool for converting such code?

print ("Calculating centrality values...")
start_time = time.clock()
nodesKeyCentrVals = snap.TIntFltH()
edgesKeyCentrVals = snap.TIntPrFltH()
snap.GetBetweennessCentr(self.G, nodesKeyCentrVals, edgesKeyCentrVals, 1.0)
print "Computation time: %f secs." % (time.clock() - start_time)
print ("Computation time: %f secs." % (time.clock() - start_time))
outputFileName = self.getOutputFileName(centrality)
print "Generating the output -> %s" % (outputFileName)
print ("Generating the output -> %s" % (outputFileName))
output, topNodes = self.getHashmapText(nodesKeyCentrVals)
self.writeOutput(outputFileName, output)
print "Top node labels: \n %s" % (topNodes)
print ("Top node labels: \n %s" % (topNodes))

return nodesKeyCentrVals

def genGraphInfo(self, centrality, func):
print "\n+++++++++++ %s ++++++++++++" % (centrality)
print "Calculating centrality values..."
print ("\n+++++++++++ %s ++++++++++++" % (centrality))
print ("Calculating centrality values...")
start_time = time.clock()
nodesKeysCentrVals = self.getCentr(func)
print "Computation time: %f secs." % (time.clock() - start_time)
print ("Computation time: %f secs." % (time.clock() - start_time))
outputFileName = self.getOutputFileName(centrality)
print "Generating the output -> %s" % (outputFileName)
print ("Generating the output -> %s" % (outputFileName))
output, topNodes = self.getHashmapText(nodesKeysCentrVals)
self.writeOutput(outputFileName, output)
print "Top node labels: \n %s" % (topNodes)
print ("Top node labels: \n %s" % (topNodes))

return nodesKeysCentrVals
16 changes: 8 additions & 8 deletions bellydynamic-metrics/Structure.py
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Expand Up @@ -14,7 +14,7 @@ def initilize(self, fileName):
self.G = self.getGraph()

def genGraph(self, nodes):
print "Generating random graph..."
print("Generating random graph...")
genFileName = 'random5000by6.txt'
nodesV = snap.TIntV()
for i in range(nodes):
Expand All @@ -38,8 +38,8 @@ def genGraphInfo(self):
graphName = self.graphName

# get the number of nodes and edges in the graph
print "Number of nodes in %s: %d" % (graphName, self.G.GetNodes())
print "Number of edges in %s: %d" % (graphName, self.G.GetEdges())
print("Number of nodes in %s: %d" % (graphName, self.G.GetNodes()))
print("Number of edges in %s: %d" % (graphName, self.G.GetEdges()))

# get the node id(s) with highest degree

Expand All @@ -56,22 +56,22 @@ def genGraphInfo(self):
if (maxDegree == node.GetOutDeg()):
nodeIdsMaxDegreeT += str(node.GetId()) + ","

print "Node id(s) with highest degree in %s: %s" % (graphName, nodeIdsMaxDegreeT)
print ("Node id(s) with highest degree in %s: %s" % (graphName, nodeIdsMaxDegreeT))

# plot degree distribution
snap.PlotOutDegDistr(self.G, graphName, "Degree Distribution")
degreeFileName = "outDeg." + graphName + ".png"
print "Degree distribution of %s is in: %s" % (graphName, degreeFileName)
print ("Degree distribution of %s is in: %s" % (graphName, degreeFileName))

# plot shortest path distribution
snap.PlotShortPathDistr(self.G, graphName, "Shortest Path Distribution")
shortestPathFileName = "diam." + graphName + ".png"
print "Shortest path distribution of %s is in: %s" % (graphName, shortestPathFileName)
print ("Shortest path distribution of %s is in: %s" % (graphName, shortestPathFileName))

# get the fraction of nodes in largest cc
print "Fraction of nodes in largest connected component in %s: %f" % (graphName, snap.GetMxSccSz(self.G))
print ("Fraction of nodes in largest connected component in %s: %f" % (graphName, snap.GetMxSccSz(self.G)))

# plot the component size distribution
snap.PlotSccDistr(self.G, graphName, "Component size distribution")
sccFileName = "scc." + graphName + ".png"
print "Component size distribution of %s is in: %s" % (graphName, sccFileName)
print ("Component size distribution of %s is in: %s" % (graphName, sccFileName))
8 changes: 4 additions & 4 deletions bellydynamic-travis/EdgeAttribute.py
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Expand Up @@ -27,21 +27,21 @@ def walkGraphEdgeAttributes(self, attribute_type, attribute_name):
EI = self.G.BegEAIntI(attribute_name)
while EI < self.G.EndEAIntI(attribute_name):
if EI.GetDat() != 0:
print "Attribute: %s, Edge: %i, Val: %d" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %d" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()
elif attribute_type == 2:
EI = self.G.BegEAFltI(attribute_name)
while EI < self.G.EndEAFltI(attribute_name):
if EI.GetDat() != 0:
print "Attribute: %s, Edge: %i, Val: %f" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %f" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()
elif attribute_type == 3:
EI = self.G.BegEAStrI(attribute_name)
while EI < self.G.EndEAStrI(attribute_name):
if EI.GetDat() != "NA":
print "Attribute: %s, Edge: %i, Val: %s" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %s" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()

Expand All @@ -55,4 +55,4 @@ def walkEdgeAttributes(self, EId):
AttrLen = EIdAttrValue.Len()

for i in range(AttrLen):
print "Vertical Edge: %i, Attr: %s, Val: %s" % (EId, EIdAttrName.GetI(i)(), EIdAttrValue.GetI(i)())
print ("Vertical Edge: %i, Attr: %s, Val: %s" % (EId, EIdAttrName.GetI(i)(), EIdAttrValue.GetI(i)()))
12 changes: 6 additions & 6 deletions bellydynamic-travis/MultiGraph.py
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Expand Up @@ -4,9 +4,9 @@


def PrintGStats(s, Graph):
print "graph %s, nodes %d, edges %d, empty %s" % (
print("graph %s, nodes %d, edges %d, empty %s" % (
s, Graph.GetNodes(), Graph.GetEdges(),
"yes" if Graph.Empty() else "no")
"yes" if Graph.Empty() else "no"))


class MultiGraph:
Expand Down Expand Up @@ -51,19 +51,19 @@ def loadBinaryGraph(self, fileName):
self.G = snap.TNEANet(FIn)

def walkNodes(self):
print "Nodes: "
print("Nodes: ")
NCount = 0
NI = self.G.BegNI()
while NI < self.G.EndNI():
print NI.GetId()
print(NI.GetId())
NCount += 1
NI.Next()

def walkEdges(self):
print "Edges: "
print("Edges: ")
ECount = 0
EI = self.G.BegEI()
while EI < self.G.EndEI():
print EI.GetId()
print(EI.GetId())
ECount += 1
EI.Next()
8 changes: 4 additions & 4 deletions bellydynamic-travis/NodeAttribute.py
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Expand Up @@ -27,21 +27,21 @@ def walkGraphNodeAttributes(self, attribute_type, attribute_name):
NI = self.G.BegNAIntI(attribute_name)
while NI < self.G.EndNAIntI(attribute_name):
if NI.GetDat() != 0:
print "Attribute: %s, Node: %i, Val: %d" % (attribute_name, NodeId, NI.GetDat())
print ("Attribute: %s, Node: %i, Val: %d" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()
elif attribute_type == 2:
NI = self.G.BegNAFltI(attribute_name)
while NI < self.G.EndNAFltI(attribute_name):
if NI.GetDat() != 0:
print "Attribute: %s, Node: %i, Val: %f" % (attribute_name, NodeId, NI.GetDat())
print ("Attribute: %s, Node: %i, Val: %f" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()
elif attribute_type == 3:
NI = self.G.BegNAStrI(attribute_name)
while NI < self.G.EndNAStrI(attribute_name):
if NI.GetDat() != "NA":
print "Attribute: %s, Node: %i, Val: %s" % (attribute_name, NodeId, NI.GetDat())
print ("Attribute: %s, Node: %i, Val: %s" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()

Expand All @@ -55,4 +55,4 @@ def walkNodeAttributes(self, NId):
AttrLen = NIdAttrValue.Len()

for i in range(AttrLen):
print "Vertical Node: %i, Attr: %s, Val: %s" % (NId, NIdAttrName.GetI(i)(), NIdAttrValue.GetI(i)())
print ("Vertical Node: %i, Attr: %s, Val: %s" % (NId, NIdAttrName.GetI(i)(), NIdAttrValue.GetI(i)()))
8 changes: 4 additions & 4 deletions bellydynamic-util/EdgeAttribute.py
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Expand Up @@ -26,21 +26,21 @@ def walkGraphEdgeAttributes(self, attribute_type, attribute_name):
EI = self.G.BegEAIntI(attribute_name)
while EI < self.G.EndEAIntI(attribute_name):
if EI.GetDat() != 0:
print "Attribute: %s, Edge: %i, Val: %d" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %d" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()
elif attribute_type == 2:
EI = self.G.BegEAFltI(attribute_name)
while EI < self.G.EndEAFltI(attribute_name):
if EI.GetDat() != 0:
print "Attribute: %s, Edge: %i, Val: %f" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %f" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()
elif attribute_type == 3:
EI = self.G.BegEAStrI(attribute_name)
while EI < self.G.EndEAStrI(attribute_name):
if EI.GetDat() != "NA":
print "Attribute: %s, Edge: %i, Val: %s" % (attribute_name, EdgeId, EI.GetDat())
print("Attribute: %s, Edge: %i, Val: %s" % (attribute_name, EdgeId, EI.GetDat()))
EdgeId += 1
EI.Next()

Expand All @@ -54,4 +54,4 @@ def walkEdgeAttributes(self, EId):
AttrLen = EIdAttrValue.Len()

for i in range(AttrLen):
print "Vertical Edge: %i, Attr: %s, Val: %s" % (EId, EIdAttrName.GetI(i)(),EIdAttrValue.GetI(i)())
print("Vertical Edge: %i, Attr: %s, Val: %s" % (EId, EIdAttrName.GetI(i)(),EIdAttrValue.GetI(i)()))
10 changes: 5 additions & 5 deletions bellydynamic-util/MultiGraph.py
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Expand Up @@ -4,7 +4,7 @@


def PrintGStats(s, Graph):
print "graph %s, nodes %d, edges %d, empty %s" % (
print("graph %s, nodes %d, edges %d, empty %s" % (
s, Graph.GetNodes(), Graph.GetEdges(),
"yes" if Graph.Empty() else "no")

Expand Down Expand Up @@ -69,20 +69,20 @@ def loadBinaryGraph(self, fileName):
self.G = snap.TNEANet(FIn)

def walkNodes(self):
print "Nodes: "
print("Nodes:)
NCount = 0
NI = self.G.BegNI()
while NI < self.G.EndNI():
print NI.GetId()
print(NI.GetId())
NCount += 1
NI.Next()

def walkEdges(self):
print "Edges: "
print("Edges: ")
ECount = 0
EI = self.G.BegEI()
while EI < self.G.EndEI():
print EI.GetId()
print(EI.GetId())
ECount += 1
EI.Next()

Expand Down
8 changes: 4 additions & 4 deletions bellydynamic-util/NodeAttribute.py
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Expand Up @@ -26,21 +26,21 @@ def walkGraphNodeAttributes(self, attribute_type, attribute_name):
NI = self.G.BegNAIntI(attribute_name)
while NI < self.G.EndNAIntI(attribute_name):
if NI.GetDat() != 0:
print "Attribute: %s, Node: %i, Val: %d" % (attribute_name, NodeId, NI.GetDat())
print("Attribute: %s, Node: %i, Val: %d" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()
elif attribute_type == 2:
NI = self.G.BegNAFltI(attribute_name)
while NI < self.G.EndNAFltI(attribute_name):
if NI.GetDat() != 0:
print "Attribute: %s, Node: %i, Val: %f" % (attribute_name, NodeId, NI.GetDat())
print("Attribute: %s, Node: %i, Val: %f" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()
elif attribute_type == 3:
NI = self.G.BegNAStrI(attribute_name)
while NI < self.G.EndNAStrI(attribute_name):
if NI.GetDat() != "NA":
print "Attribute: %s, Node: %i, Val: %s" % (attribute_name, NodeId, NI.GetDat())
print("Attribute: %s, Node: %i, Val: %s" % (attribute_name, NodeId, NI.GetDat()))
NodeId += 1
NI.Next()

Expand All @@ -54,4 +54,4 @@ def walkNodeAttributes(self, NId):
AttrLen = NIdAttrValue.Len()

for i in range(AttrLen):
print "Vertical Node: %i, Attr: %s, Val: %s" % (NId, NIdAttrName.GetI(i)(),NIdAttrValue.GetI(i)())
print("Vertical Node: %i, Attr: %s, Val: %s" % (NId, NIdAttrName.GetI(i)(),NIdAttrValue.GetI(i)()))
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