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Compatibility Issue with Python 3.12.6

Aperta
#584 4 commenti 0 reazioni 0 assegnatari Vedi su GitHub

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Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
30/100
Tipo di issue
Bug
Chiarezza
Da chiarire
Stato di attività
Ferma
Stack tecnologico
julia, python
Ambito
tooling

Direzione di ricerca

Inizia riproducendo l’esempio PySRRegressor fornito con le versioni elencate di Python, Julia, PySR e juliacall su Windows 11, quindi esamina il traceback di PythonCall e le informazioni sulla compatibilità. Il lavoro è completato quando l’esempio completa model.fit e stampa l’equazione migliore senza il JuliaError segnalato, e il comportamento di compatibilità rilevante è documentato o coperto da un test appropriato.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

bug

Compatibility Issue with Python 3.12.6

I encountered a JuliaError when trying to fit the PySRRegressor model using the PythonCall package. The error seems to be related to the compatibility of the PythonCall package with Python version 3.12.6.

Steps to Reproduce:
1- Install Python 3.12.6.
2- Install the pysr package using pip install pysr.
3- Run the following code:

import numpy as np
from pysr import PySRRegressor

Sample data

X = np.random.rand(100, 1) # 100 samples, 1 feature
y = 3.0 * X[:, 0] + 2.0 # Example target

Initialize PySR model

model = PySRRegressor(
niterations=100, # Number of iterations
binary_operators=["+", "-", "*", "/"], # Allowed binary operators
unary_operators=["sin", "exp", "log"], # Allowed unary operators
loss="L2", # Loss function (mean squared error)
populations=10, # Number of populations
procs=4, # Number of CPU cores to use
parsimony=0.01, # Encourages simpler equations
maxsize=20, # Maximum size of the equation
)

Fit the model

model.fit(X, y)

View the best equation

print("Best equation:", model.sympy())

View the Hall of Fame (top equations)

print(model)
.
.
Expected Behavior: The PySRRegressor model should fit the data without any errors, and the best equation should be printed.

Actual Behavior: The following error occurs:
JuliaError Traceback (most recent call last)
Cell In[34], line 22
10 model = PySRRegressor(
11 niterations=100, # Number of iterations
12 binary_operators=["+", "-", "*", "/"], # Allowed binary operators
(...)
18 maxsize=20, # Maximum size of the equation
19 )
21 # Fit the model
---> 22 model.fit(X, y)
24 # View the best equation
25 print("Best equation:", model.sympy())

File c:\Users\Administrator\AppData\Local\Programs\Python\Python312\Lib\site-packages\pysr\sr.py:2279, in PySRRegressor.fit(self, X, y, Xresampled, weights, variable_names, complexity_of_variables, X_units, y_units, category)
2276 self._checkpoint()
2278 # Perform the search:
-> 2279 self._run(X, y, runtime_params, weights=weights, seed=seed, category=category)
2281 # Then, after fit, we save again, so the pickle file contains
2282 # the equations:
2283 if not self.temp_equation_file:

File c:\Users\Administrator\AppData\Local\Programs\Python\Python312\Lib\site-packages\pysr\sr.py:1889, in PySRRegressor.run(self, X, y, runtime_params, weights, category, seed)
1886 if isinstance(complexity_of_variables, list):
1887 complexity_of_variables = jl_array(complexity_of_variables)
...
@ PythonCall.JlWrap C:\Users\Administrator.julia\packages\PythonCall\Nr75f\src\JlWrap\module.jl:13
[5] pyjl_callmethod(f::Any, self::Ptr{PythonCall.C.PyObject}, args
::Ptr{PythonCall.C.PyObject}, nargs::Int64)
@ PythonCall.JlWrap C:\Users\Administrator.julia\packages\PythonCall\Nr75f\src\JlWrap\base.jl:67
[6] _pyjl_callmethod(o::Ptr{PythonCall.C.PyObject}, args::Ptr{PythonCall.C.PyObject})
@ PythonCall.JlWrap.Cjl C:\Users\Administrator.julia\packages\PythonCall\Nr75f\src\JlWrap\C.jl:63
.
.
.
.
Environment:
-Python version: 3.12.6
-julia version: 1.11.2
-pysr version: 1.3.1
-juliacall version: 0.9.23
-Operating System: [Windows 11 64-bit]
.
.
.
julia> Base.versioninfo()
ERROR: UndefVarError: versioninfo not defined in Base
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] getproperty(x::Module, f::Symbol)
@ Base .\Base.jl:42
[2] top-level scope
@ REPL[1]:1
.
.
.
julia> Pkg.status()
ERROR: UndefVarError: Pkg not defined in Main
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ REPL[2]:1
.
.
.
julia> versioninfo()
Julia Version 1.11.2
Commit 5e9a32e7af (2024-12-01 20:02 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 16 × AMD Ryzen 7 4800H with Radeon Graphics
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, znver2)
Threads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)
Environment:
JULIA_PATH = "D:\Backup\Downloads\julia-1.11.2-win64.exe"
.
.
.
Additional Information: I have verified that the JULIA_PATH environment variable is set correctly and that Julia is accessible from the command line. The issue seems to be specific to the compatibility of the PythonCall package with Python 3.12.6.

Lingua principale
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Stelle
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Fork
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Merge medio
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PR unite (30g)
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