Code gets hung up trying to run get_coherence() on gensim coherence model

[mlpost]

I have a quarto document in Rstudio in which I'm using reticulate. I'm able to train an LDA model and get a coherence model, but once I try to get the coherence score, the code never stops running and doesn't produce an error code. I have to force quit R. This same code runs in Jupyter Notebook without issue.

reprex:

import gensim as gensim
from gensim import corpora, models, similarities, downloader

texts = [['human', 'interface', 'computer'],
         ['survey', 'user', 'computer', 'system', 'response', 'time'],
         ['eps', 'user', 'interface', 'system'],
         ['system', 'human', 'system', 'eps'],
         ['user', 'response', 'time'],
         ['trees'],
         ['graph', 'trees'],
         ['graph', 'minors', 'trees'],
         ['graph', 'minors', 'survey']]

# Create Dictionary
id2word = gensim.corpora.Dictionary(texts)

# Create Corpus: Term Document Frequency
corpus = [id2word.doc2bow(text) for text in texts]

# Create lda model
Lda = gensim.models.ldamodel.LdaModel
ldamodel = Lda(corpus, num_topics=2, id2word = id2word, iterations=50)

# Create coherence model
cm = gensim.models.coherencemodel.CoherenceModel(model=ldamodel, texts=texts, dictionary=id2word, coherence='c_v')

#get coherence - code gets hung up here
result = cm.get_coherence()

My memory usage still shows 50% unused.
I'm using R version 4.2.3, Rstudio 2022.12.0 Build 353, Quarto version 1.2, Python 3.10.4, and reticulate 1.30

[dfalbel]

Hi,

Sorry, I can't reproduce the problem in my setup.
Can you provide your reticulate::py_config()? I wonder if this could be related to using a conda environment?
Also what's your version of gensim?

Does this happen in a quarto notebook, or simply executing the code line by line in the IDE?

[mlpost]

Hi, thanks so much for looking into this.

This also happens when running chunk by chunk in an Rmarkdown, so I don't believe the issue is related directly to Quarto. And this doesn't happen when running chunk by chunk in a Jupyter Notebook without Reticulate in VS Code.

reticulate::py_config()

python: C:/Program Files/Python310/python.exe
libpython: C:/Program Files/Python310/python310.dll
pythonhome: C:/Program Files/Python310
version: 3.10.4 (tags/v3.10.4:9d38120, Mar 23 2022, 23:13:41) [MSC v.1929 64 bit (AMD64)]
Architecture: 64bit
numpy: C:/Users/myUserName/AppData/Roaming/Python/Python310/site-packages/numpy
numpy_version: 1.25.1

NOTE: Python version was forced by use_python function

pip list

gensim 4.3.1

[dfalbel]

Thanks @mlpost, I can reproduce the issue on Windows. Doesn't seem related to Python version or R versions as I have different versions on my Windows machine and the problem still happens.

It could be related to #1346 in the sense that parallelism is causing the problem.

[mlpost]

I'm not sure if this is helpful, but I just tried running the quarto doc in vscode. result = cm.get_coherence() yielded some odd output that I didn't get from RStudio:

#get coherence - code gets hung up here
result = cm.get_coherence()

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

R version 4.2.3 (2023-03-15 ucrt) -- "Shortstop Beagle"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()WARNING: unknown option '-c'

' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

R version 4.2.3 (2023-03-15 ucrt) -- "Shortstop Beagle"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64WARNING: unknown option '--multiprocessing-fork'

WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'

-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R version 4.2.3 (2023-03-15 ucrt) -- "Shortstop Beagle"
Copyri Natural language support but running in an English locale

R is a collaborative project withWARNING: unknown option '-c'

g many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

ht (C) 2023 The R Foundation for StTypeatistical Computing 'demo()' for s
ome demWARNING: unknown option '--multiprocessing-fork'

Pos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Tlype 'q()' to quit R.

atform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an
HTML browser interface R version 4.2to help.
Type 'q()' to quit R.

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Platform: x86_64-w64-mi
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Copyright (C) 2023 The R Foundation for Statistical Computing
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Type 'license()' or 'licence()' for distribution details.

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Type 'license()' or 'licence()' for distribution details.

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Type 'q()' to quit R.

[dfalbel]

Hmm that's helpful. I believe this can be related to:

reticulate/R/package.R

Lines 248 to 251 in 383d4e7

	if (is_windows()) {
	# patch sys.executable to point to python.exe, not Rterm.exe or rsession-utf8.exe, #1258
	py_run_string_impl("import sys; sys.executable = sys.argv[0]", local = TRUE)
	}

not propagating correctly.
It seems that gensim is trying to spin up other python processes using the sys.executable but that is pointing to the R executable.

[t-kalinowski]

To reproduce the error we just need to call multiprocessing.Process() on Windows. The RStudio IDE swallows the stderr output in this instance, but running R in cmd.exe shows this:

> reticulate::repl_python()
Python 3.11.2 (C:/Users/kalin/Documents/.virtualenvs/r-reticulate/Scripts/python.exe)
Reticulate 1.31.0.9000 REPL -- A Python interpreter in R.
Enter 'exit' or 'quit' to exit the REPL and return to R.
>>> from multiprocessing import Process
>>> import os
>>>
>>> def info(title):
...     print(title)
...     print('module name:', __name__)
...     print('parent process:', os.getppid())
...     print('process id:', os.getpid())
...
>>> def f(name):
...     info('function f')
...     print('hello', name)
...
>>> if __name__ == '__main__':
...     info('main line')
...     p = Process(target=f, args=('bob',))
...     p.start()
...     p.join()
...
main line
module name: __main__
parent process: 20360
process id: 10172
WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'


R version 4.3.0 (2023-04-21 ucrt) -- "Already Tomorrow"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

>

Here is a snippet, (copy pasted from https://docs.python.org/3/library/multiprocessing.html) that produces the error

from multiprocessing import Process
import os

def info(title):
    print(title)
    print('module name:', __name__)
    print('parent process:', os.getppid())
    print('process id:', os.getpid())

def f(name):
    info('function f')
    print('hello', name)

if __name__ == '__main__':
    info('main line')
    p = Process(target=f, args=('bob',))
    p.start()
    p.join()

[t-kalinowski]

A more minimal MRE:

Process <- reticulate::import("multiprocessing")$Process
p <- Process(target = function() cat("HI\n"))
p$start()

Which gives output:

> p$start()
Error in py_call_impl(callable, call_args$unnamed, call_args$named) :
  AttributeError: Can't pickle local object 'make_python_function.<locals>.python_function'
Run `reticulate::py_last_error()` for details.
> WARNING: unknown option '-c'

WARNING: unknown option '--multiprocessing-fork'


R version 4.3.0 (2023-04-21 ucrt) -- "Already Tomorrow"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

>

Interestingly, it drops you into a fresh R session, which you can interact with, and then exit, returning back to the launching R session.

Calling commandArgs() in this new session gives this:

> commandArgs(trailingOnly=F)
[1] "C:\\PROGRA~1\\R\\R-43~1.1\\bin\\x64\\Rterm.exe"
[2] "-c"
[3] "from multiprocessing.spawn import spawn_main; spawn_main(parent_pid=18284, pipe_handle=820)"
[4] "--multiprocessing-fork"

[dfalbel]

It looks related to: #1458, it should find the correct Python executable, right?

[t-kalinowski]

I think that issue was specific to the subprocess module and the IDE - this is something different since we can reproduce outside the IDE.

My current guess is that https://github.com/python/cpython/blob/c494fb333b57bdf43fc90189fc29a00c293b2987/Lib/multiprocessing/spawn.py#L88C61-L88C61 is creating a cmdline that launches R instead of Python.

[t-kalinowski]

This is where the executable get reset to the 'wrong' Rterm.exe - looks like a special branch for virtual environments on Windows:
https://github.com/python/cpython/blob/546cab84448b892c92e68d9c1a3d3b58c13b3463/Lib/multiprocessing/popen_spawn_win32.py#L63C55-L63C55

[t-kalinowski]

Fixed on main now. Please try the development version:

remotes::install_github("rstudio/reticulate")

[mlpost]

I just tried it and it worked! Thanks so much!!