Comments (2)
It seems that the previous problem was connected with too late version of Numpy: it was 1.16. As you recommend, I switched to Numpy 1.13.3. Jython currently cannot install numpy, but I found workaround: installed Python 2.7.9, installed their Numpy 1.13.3 and copied the folders numpy and numpy-1.13.3.dist-info from Python's directory site-packages into the same directory of Jython.
Now my test SimpleJythonNumpyTest.py consists of only 1 line:
import numpy as np
I call it via the following command:
java -cp C:\jython2.7.2\jython.jar;C:\JyNI\JyNI.jar org.python.util.jython SimpleJythonNumpyTest.py
Java version: "17.0.2" 2022-01-18 LTS
Java(TM) SE Runtime Environment (build 17.0.2+8-LTS-86)
Java HotSpot(TM) 64-Bit Server VM (build 17.0.2+8-LTS-86, mixed mode, sharing)
Numpy is successully imported, but the result is the system crash: see hs_err_pid8120.log
hs_err_pid8120.log
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Hello Daniel, thank you for your interest in JyNI. However, if your goal is to do data-science beyond some numpy-numerics, Jython+JyNI is probably not sufficient. Already SciPy does not work and NumPy only works for a narrow set of versions and somewhat limited functionality. That JyNI is experimental is indicated by the "alpha" in the version name.
copied the folders numpy and numpy-1.13.3.dist-info from Python's directory site-packages into the same directory of Jython.
Yes, that is much how I used to do it. Using CPython 2.7 pip to install NumPy and dependencies is my recommended way. Then simply add the path to Jython's library path (sys.path.append(...)
). No need to copy things around. E.g. from my setup:
sys.path.append('C:/Program Files/Python/Python2.7.13/Lib/site-packages')
sys.path.append('C:/Program Files/Python/Python2.7.13/DLLs')
Alternatively, one can build NumPy from source (in-place build!) (easy on Linux, difficult on Windows) and put that folder on the library path.
Anyway. There are plenty of reasons for broken config. Last but not least I never tested on recent Java (also because Jython itself used to have issues with recent Java). Easiest way to check out JyNI with NumPy is a stand-alone image I do not distribute publicly. Write to me at [email protected].
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Related Issues (20)
- Iterator support (TypeError: argument of type 'dict' is not iterable) HOT 10
- Request to explore JavaCPP as an extension to model Python FFI. HOT 4
- JyNI-C/src/Python/pythonrun.c:1956 isnt' know struct sigaction context ocontext HOT 5
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- Patch: NumPy 13.2 broken for JyNI 2.7-alpha.5 HOT 1
- nltk download crashes HOT 15
- NumPy 1.14+ compatibility HOT 8
- Name JyNI.jar Mandatory HOT 15
- support for the BufferProtocol HOT 8
- SciPy HOT 1
- mmap: String access is truncated or causes NullPointerException HOT 11
- Add debug target to makefile. HOT 2
- PyExc_TypeError has ob_type == NULL HOT 25
- Under memory stress JVM builds an invalid native jobject, potentially causing segfault during GC
- When using numpy, we call np.split(x,2),np.hsplit(x,2),np.vsplit(x,2), x is a numpy array. But the command didn't output anything or report any mistakes HOT 1
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