Generator doesn't accept networkit.graph.Graph, object is not iterable #1195
Description
Problem: nk.generators.PowerlawDegreeSequence() doesn't accept Graph as input
Expected: Graph should be an acceptable input to the generator
Environment: Ubuntu 22.04, Python 3.10.13, Networkit 11.0
Conda Env Spec
channels:
- defaults
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_5
- ca-certificates=2024.3.11=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.13=h7f8727e_0
- pip=23.3.1=py310h06a4308_0
- python=3.10.13=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.2.2=py310h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2024a=h04d1e81_0
- wheel=0.41.2=py310h06a4308_0
- xz=5.4.6=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- astroid==3.1.0
- coverage==7.4.4
- dill==0.3.8
- exceptiongroup==1.2.0
- iniconfig==2.0.0
- isort==5.13.2
- mccabe==0.7.0
- networkit==11.0
- networkx==2.8.8
- numpy==1.26.4
- packaging==24.0
- pandas==1.5.3
- pluggy==1.4.0
- pydocstyle==6.3.0
- pylint==3.1.0
- pytest==8.1.1
- pytest-cov==4.1.0
- python-dateutil==2.9.0.post0
- pytz==2024.1
- scipy==1.12.0
- six==1.16.0
- snowballstemmer==2.2.0
- tomli==2.0.1
- tomlkit==0.12.4
- tqdm==4.66.2
- typing-extensions==4.10.0
Replication Code:
import networkit as nk
n, k = 100, 10
pIntra, pInter = 0.1, 0.05
gen = nk.generators.ClusteredRandomGraphGenerator(n, k, pIntra, pInter)
G = gen.generate()
generators = nk.generators.PowerlawDegreeSequence(G)Error Message:
Traceback (most recent call last):
File "networkit/generators.pyx", line 657, in networkit.generators.PowerlawDegreeSequence.__cinit__
File "<stringsource>", line 47, in vector.from_py.__pyx_convert_vector_from_py_double
TypeError: 'networkit.graph.Graph' object is not iterable
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/project/test.py", line 7, in <module>
generators = nk.generators.PowerlawDegreeSequence(G)
File "networkit/generators.pyx", line 659, in networkit.generators.PowerlawDegreeSequence.__cinit__
TypeError: an integer is required