JuliaPy / JuliaPy/PythonCall.jl
cannot import pyarrow with PythonCall
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Descripción
**Affects:** PythonCall
**Describe the bug**
Cannot import pyarrow using PythonCall.jl
In a fresh environment / new folder:
```julia
using Pkg
Pkg.activate(".")
Pkg.add("CondaPkg")
using CondaPkg
CondaPkg.add("pyarrow")
Pkg.add("PythonCall")
using PythonCall
pyarrow = pyimport("pyarrow")
```
Result:
```julia
julia> pyarrow = pyimport("pyarrow")
ERROR: Python: ImportError: DLL load failed while importing lib: The specified procedure could not be found.
Python stacktrace:
[1]
@ C:\Users\beasont\condatest\.CondaPkg\env\Lib\site-packages\pyarrow\__init__.py:65
Stacktrace:
[1] pythrow()
@ PythonCall C:\Users\beasont\.julia\packages\PythonCall\1f5yE\src\err.jl:94
[2] errcheck
@ C:\Users\beasont\.julia\packages\PythonCall\1f5yE\src\err.jl:10 [inlined]
[3] pyimport(m::String)
@ PythonCall C:\Users\beasont\.julia\packages\PythonCall\1f5yE\src\concrete\import.jl:11
[4] top-level scope
@ REPL[11]:1
```
Info:
```julia
(condatest) pkg> conda st
CondaPkg Status C:\Users\beasont\condatest\CondaPkg.toml
Environment
C:\Users\beasont\condatest\.CondaPkg\env
Packages
pyarrow v12.0.1
(condatest) pkg> st
Status `C:\Users\beasont\condatest\Project.toml`
[992eb4ea] CondaPkg v0.2.18
[6099a3de] PythonCall v0.9.13
julia> versioninfo()
Julia Version 1.9.2
Commit e4ee485e90 (2023-07-05 09:39 UTC)
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 32 × AMD Ryzen 9 5950X 16-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, znver3)
Threads: 1 on 32 virtual cores
```
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Línea de trabajo
Start with the fresh-environment Julia reproducer using CondaPkg, PythonCall, and pyarrow on Windows, then inspect the PythonCall import path and the reported DLL-load stacktrace. Compare the package and runtime versions shown in the issue. Done means pyimport("pyarrow") succeeds in the reported setup without the ImportError.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- backend, devtools
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 25/100