ImportError：导入多数组 numpy 扩展模块失败

Question

我正在尝试使用 ScriptEngine 在 Java 中编写 Python 脚本。但是当我导入 tflearn 模块时，它会给我以下错误。

javax.script.ScriptException: ImportError: 
Importing the multiarray numpy extension module failed.  Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control).  Otherwise reinstall numpy.

Original error was: cannot import name multiarray
 in <script> at line number 1
    at org.python.jsr223.PyScriptEngine.scriptException(PyScriptEngine.java:222)
    at org.python.jsr223.PyScriptEngine.eval(PyScriptEngine.java:59)
    at org.python.jsr223.PyScriptEngine.eval(PyScriptEngine.java:31)
    at javax.script.AbstractScriptEngine.eval(AbstractScriptEngine.java:264)
    at com.ultimatix.bot.JavaRunCommand.main(JavaRunCommand.java:48)
Caused by: Traceback (most recent call last):
  File "<script>", line 1, in <module>
  File "D:\Python\Lib\site-packages\tflearn\__init__.py", line 4, in <module>
    from . import config
  File "D:\Python\Lib\site-packages\tflearn\config.py", line 3, in <module>
    import tensorflow as tf
  File "D:\Python\Lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "D:\Python\Lib\site-packages\tensorflow\python\__init__.py", line 47, in <module>
    import numpy as np
  File "D:\Python\Lib\site-packages\numpy\__init__.py", line 142, in <module>
    from . import add_newdocs
  File "D:\Python\Lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
    from numpy.lib import add_newdoc
  File "D:\Python\Lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
    from .type_check import *
  File "D:\Python\Lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
    import numpy.core.numeric as _nx
  File "D:\Python\Lib\site-packages\numpy\core\__init__.py", line 26, in <module>
    raise ImportError(msg)

我还尝试导入一些不同的包，如 sys、pickle。它们正在成功导入。

Python 版本：3.5.4 操作系统：窗口 7 - 64 位

Answer 1

Numpy 用 Fortran 编写并编译为二进制。因此，在 JVM 上运行是不兼容的。您正在导入的其他包是在纯 python 中实现的。

CPython 是标准的 Python 实现，为了保持二进制级别的兼容性，已经做了大量工作。 Numpy 数组的内存布局与 C 数组相同，而 C 数组的内存布局与 Java 数组不同。随着您对 python 的深入了解，关于它为什么无法工作的不兼容性会越来越多。