2

真的很难让 nltk 工作。使用 Scipy Superpack 下载我认为的解决方案，但收到以下错误：

>>> import nltk
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/__init__.py", line 105, in <module>
    from collocations import *
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/collocations.py", line 38, in <module>
    from nltk.metrics import ContingencyMeasures, BigramAssocMeasures, TrigramAssocMeasures
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/metrics/__init__.py", line 23, in <module>
    from nltk.metrics.segmentation    import windowdiff, ghd, pk
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/metrics/segmentation.py", line 44, in <module>
    import numpy
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/__init__.py", line 137, in <module>
    import add_newdocs
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/add_newdocs.py", line 9, in <module>
    from numpy.lib import add_newdoc
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/lib/__init__.py", line 4, in <module>
    from type_check import *
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/lib/type_check.py", line 8, in <module>
    import numpy.core.numeric as _nx
  File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/core/__init__.py", line 5, in <module>
    import multiarray
ImportError: dlopen(/Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/core/multiarray.so, 2): no suitable image found.  Did find:
    /Library/Python/2.7/site-packages/numpy-1.8.0.dev_5c944b9_20120828-py2.7-macosx-10.8-x86_64.egg/numpy/core/multiarray.so: mach-o, but wrong architecture

任何人都可以帮忙吗？

4

1 回答 1

1

当您尝试“import numpy”时会发生什么？回溯是否仍然导致multiarray.so类似于：

 no matching architecture in universal wrapper

如果是这样，您需要使用正确的 archflags 进行重建，在您的情况下，我假设它是 x86_64。

ARCHFLAGS="-arch x86_64" pip install numpy
于 2012-09-07T14:10:52.377 回答