Files
nmrproject/mod/butadien/butadien.py
T

212 lines
5.9 KiB
Python

config.ilp.solver="CPLEX"
butadien = Graph.fromGMLString(
"""graph [
node [ id 0 label "C" ]
node [ id 1 label "C" ]
node [ id 2 label "C" ]
node [ id 3 label "C" ]
node [ id 4 label "H" ]
node [ id 5 label "H" ]
node [ id 6 label "H" ]
node [ id 7 label "H" ]
node [ id 8 label "H" ]
node [ id 9 label "H" ]
edge [ source 0 target 1 label "=" ]
edge [ source 1 target 2 label "-" ]
edge [ source 2 target 3 label "=" ]
edge [ source 0 target 4 label "-" ]
edge [ source 0 target 5 label "-" ]
edge [ source 1 target 6 label "-" ]
edge [ source 2 target 7 label "-" ]
edge [ source 3 target 8 label "-" ]
edge [ source 3 target 9 label "-" ]
]"""
, name="Butadien")
#allene = Graph.fromGMLString(
"""graph [
node [ id 0 label "H" ]
node [ id 1 label "H" ]
node [ id 2 label "C" ]
node [ id 3 label "C" ]
node [ id 4 label "C" ]
node [ id 5 label "H" ]
node [ id 6 label "H" ]
edge [ source 0 target 2 label "" ]
edge [ source 1 target 2 label "-" ]
edge [ source 2 target 3 label "=" ]
edge [ source 3 target 4 label "=" ]
edge [ source 4 target 5 label "-" ]
edge [ source 4 target 6 label "-" ]
]"""
#, name="Allene")
#pentadien = Graph.fromGMLString(
"""graph
[
node [ id 0 label "C" ]
node [ id 1 label "C" ]
node [ id 2 label "C" ]
node [ id 3 label "C" ]
node [ id 4 label "H" ]
node [ id 5 label "H" ]
node [ id 6 label "H" ]
node [ id 7 label "H" ]
node [ id 8 label "H" ]
node [ id 9 label "C" ]
node [ id 10 label "H" ]
node [ id 11 label "H" ]
node [ id 12 label "H" ]
edge [ source 0 target 1 label "=" ]
edge [ source 1 target 2 label "-" ]
edge [ source 2 target 3 label "=" ]
edge [ source 0 target 4 label "-" ]
edge [ source 0 target 5 label "-" ]
edge [ source 1 target 6 label "-" ]
edge [ source 2 target 7 label "-" ]
edge [ source 3 target 8 label "-" ]
edge [ source 3 target 9 label "-" ]
edge [ source 9 target 10 label "-" ]
edge [ source 9 target 11 label "-" ]
edge [ source 9 target 12 label "-" ]
]
"""
#, name="Pentadien")
restswap = Rule.fromGMLString(
"""rule [
left [
edge [ source 1 target 2 label "=" ]
edge [ source 3 target 4 label "=" ]
]
context [
node [ id 1 label "C" ]
node [ id 2 label "C"]
node [ id 3 label "C"]
node [ id 4 label "C"]
]
right [
edge [ source 1 target 3 label "=" ]
edge [ source 2 target 4 label "=" ]
]
]"""
)
dielsalder = Rule.fromGMLString(
"""rule [
left [
edge [ source 1 target 2 label "=" ]
edge [ source 2 target 3 label "-" ]
edge [ source 3 target 4 label "=" ]
edge [ source 5 target 6 label "=" ]
]
context [
node [ id 1 label "C" ]
node [ id 2 label "C"]
node [ id 3 label "C"]
node [ id 4 label "C"]
node [ id 5 label "C"]
node [ id 6 label "C"]
]
right [
edge [ source 1 target 2 label "-" ]
edge [ source 2 target 3 label "=" ]
edge [ source 3 target 4 label "-" ]
edge [ source 4 target 5 label "-" ]
edge [ source 5 target 6 label "-" ]
edge [ source 6 target 1 label "-" ]
]
]"""
)
#MCB? horton vs DePina, einfach Depth first ob nach vier cyclus
def cyclesizes(g):
cycles = []
for edge, vertice in g.edges, g.vertices:
print(dir(edge))
#Find all cycles and list their sizes
#Only for C
#Chordless, elemenatary
#Is there a inbuild way to ignore all H?
#
if min(cycles) < 5 or max(cycles) > 7:
return True
return False
#Disallows Allenes (Two Doublebonds on same carbon)
def doubledoublebond(g):
for vertice in g.vertices:
if (vertice.stringLabel == "C" and vertice.degree == 2): # and vertice.edges.label == ["=", "="]
for edge in vertice.incidentEdges:
print(type(edge.bondType))
bonds = [type(edge.bondType) for edge in vertice.incidentEdges]
if (bonds[0] == bonds[1] and len(bonds) == 2):
return True
return False
def restriction(dg):
#Only rings 5 to 7
#No neighbouring double bonds. Is this already in MOD? Can this even happen?
#No Carbon in 3 rings? Better 4?
for a in dg.right:
if a.vLabelCount("C") > 6:
return False
if doubledoublebond(a):
return False
#if cyclesizes(a):
#return False
return True
flowPrinter = FlowPrinter()
flowPrinter.printUnfiltered = False
postSection("Loaded Graphs")
for a in inputGraphs:
a.print()
postSection("Loaded Rules")
for a in inputRules:
a.print()
dg = DG(graphDatabase=inputGraphs)
dg.build().execute(
addSubset(inputGraphs)
>> rightPredicate[
restriction
](
repeat(revive(inputRules)) #Revive not necessary
)
)
dg.print()
postSection("Product Graphs")
for a in dg.vertices:
a.graph.print()
#flow = Flow(dg)
#flow.addSource(butadien)
#flow.findSolutions()
#flow.solutions.list()
#flow.solutions.print(flowPrinter)
sys.exit(0)
rc = rcEvaluator(inputRules)
for dRef in dg.derivations:
der = dRef.derivation
educt = rcId(der.left[0])
for i in range(1, len(der.left)):
educt = educt *rcParallel* rcId(der.left[i])
product = rcId(der.right[0])
for i in range(1, len(der.right)):
product = product *rcParallel* rcId(der.right[i])
rcExp = educt *rcSuper(allowPartial=False)* der.rule *rcSuper(allowPartial=False)* product
res = rc.eval(rcExp)
dRef.print()
for a in res:
a.print()
a.printGML()