[graph-tool] Re: error: Received Orphaned Property Map

[Tiago de Paula Peixoto]

Am 04.10.21 um 20:27 schrieb sam.gyet...@gmail.com:

i wasn't aware of the own_property() function and can't find it in the 
graph-tool documentation (other than seeing it being used in examples involving 
visualization). whatever it does, it seems to work


just do: help(Graph.own_property)

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Tiago de Paula Peixoto 
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[graph-tool] Re: error: Received Orphaned Property Map

[sam . gyetvay]

here is a working example 

```
import graph_tool.all as gt
import multiprocessing as mp

g = gt.collection.data["celegansneural"]

pool = mp.Pool(5)

def fit_sbm(i):
state = gt.minimize_blockmodel_dl(g)
b = state.get_blocks()
print(i)
return(b)

blocks = pool.map(fit_sbm, range(5))

pool.close

#print(blocks)
#b0 = blocks[0]
#print(b0)

b0 = blocks[0]
g.vertex_properties["membership"] = b0
```

i wasn't aware of the own_property() function and can't find it in the 
graph-tool documentation (other than seeing it being used in examples involving 
visualization). whatever it does, it seems to work, and the modified code below 
seems to work

```
import graph_tool.all as gt
import multiprocessing as mp

g = gt.collection.data["celegansneural"]

pool = mp.Pool(5)

def fit_sbm(i):
state = gt.minimize_blockmodel_dl(g)
b = state.get_blocks()
print(i)
return(b)

blocks = pool.map(fit_sbm, range(5))

pool.close

#print(blocks)
#b0 = blocks[0]
#print(b0)

b0 = blocks[0]
g.vertex_properties["membership"] = g.own_property(b0)
```
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[graph-tool] Re: error: Received Orphaned Property Map

[Tiago de Paula Peixoto]

Am 04.10.21 um 10:29 schrieb sam.gyet...@gmail.com:

hi,

i received this error while trying to assign a vertex property map to a graph, 
and i'm not sure how to get around it.

context: i am running minimize_blockmodel_dl() many times in parallel using 
microprocessing. because my graph is large, i don't want it to save multiple 
copies of the graph. so i am trying to only keep the block id each time. 
however, when i try to do this, i get the above error

here's a somewhat simplified example:

```
import graph_tool.all as gt
import multiprocessing as mp

pool = mp.Pool(5)

def fit_sbm():
state = gt.minimize_blockmodel_dl(g)
b = state.get_blocks()
return b

blocks = pool.map(fit_sbm, range(5))

pool.close

b0 = blocks[0]
membership = g.new_vertex_property("int")
membership = b0
g.vertex_properties["membership"] = b0
```

could you explain why this error comes up, and also if possible suggest an 
alternative way to proceed?


The code you provided does not run. Could you please provide a minimal 
_working_ example that shows the problem?


Additionally, you seem confused about how variable assignment works in 
Python, since the first line does nothing in:


  membership = g.new_vertex_property("int")
  membership = b0

And these two lines are also irrelevant to what follows, since you never 
use the variable "membership" again.


Presumably, you wanted to do something like:

  g.vp["membership"] = g.own_property(blocks[0])

But I can only guess.

Best,
Tiago

--
Tiago de Paula Peixoto 
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