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From "Martin Scherer (JIRA)" <j...@apache.org>
Subject [jira] [Created] (PYLUCENE-29) JCC: JArray('int') from integer numpy ndarray not possible
Date Tue, 10 Dec 2013 12:51:09 GMT
Martin Scherer created PYLUCENE-29:
--------------------------------------

             Summary: 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


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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