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https://issues.apache.org/jira/browse/PYLUCENE-29?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13844285#comment-13844285
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Martin Scherer commented on PYLUCENE-29:
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I've upgraded my numpy installation to 1.8.0 and now it works like a charm!
> JCC: JArray('int') from integer numpy ndarray not possible
> ----------------------------------------------------------
>
> Key: PYLUCENE-29
> URL: https://issues.apache.org/jira/browse/PYLUCENE-29
> Project: PyLucene
> Issue Type: Bug
> Environment: JCC-2.18, numpy-1.7.1, Java-1.7.0.25, Linux 64Bit
> Reporter: Martin Scherer
> Labels: jcc
>
> One can properly directly convert numpy double arrays to JArrays, but numpy
> integer arrays have to be converted to a Python list before. Else one would
> receive a type error. The following code snippet shows the error:
> ######
> import numpy as np
> from emma2.util.pystallone import JArray, initVM
> if __name__ == '__main__':
> a = np.asarray([1.,2.,3.]).astype(np.double)
> print a
> print JArray('double')(a)
> a = np.asarray([1,2,3]).astype(np.int0)
> print JArray('int')(a)
> #####
> Output:
> [ 1. 2. 3.]
> JArray<double>[1.0, 2.0, 3.0]
> Traceback (most recent call last):
> File "minimal_example_int_convert_fails.py", line 14, in <module>
> print JArray('int')(a)
> TypeError: 1
> But this works:
> JArray('int')(a.tolist())
> Since I did not manage to figure out this behaviour, I'am filing this issue.
> If it has a simple solution please let me know and close this one.
> Thanks in advance,
> Best - Martin
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