[英]Trouble installing scipy in virtualenv on a amazon ec2 linux micro instance
我已经在亚马逊 ec2 微型实例(Ubuntu 13.04)上的默认 python 编译器中成功安装了scipy
。 但是我无法在 virtualenv 中安装scipy
。
pip install scipy
以这个错误结束
scipy/sparse/sparsetools/csr_wrap.cxx: In function ‘void init_csr()’:
scipy/sparse/sparsetools/csr_wrap.cxx:73303:21: warning: variable ‘md’ set but not used [-Wunused-but-set-variable]
c++: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-4.7/README.Bugs> for instructions.
----------------------------------------
Cleaning up...
Command /home/ubuntu/pnr/bin/python -c "import setuptools;__file__='/home/ubuntu/pnr/build/scipy/setup.py';exec(compile(open(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-t8Drvd-record/install-record.txt --single-version-externally-managed --install-headers /home/ubuntu/pnr/include/site/python2.7 failed with error code -9 in /home/ubuntu/pnr/build/scipy
和
Traceback (most recent call last):
File "/home/ubuntu/pnr/bin/pip", line 9, in <module>
load_entry_point('pip==1.4.1', 'console_scripts', 'pip')()
File "/home/ubuntu/pnr/local/lib/python2.7/site-packages/pip/__init__.py", line 148, in main
return command.main(args[1:], options)
File "/home/ubuntu/pnr/local/lib/python2.7/site-packages/pip/basecommand.py", line 169, in main
text = '\n'.join(complete_log)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 53: ordinal not in range(128)
在任何人问之前。 默认编译器返回的pip freeze
Cheetah==2.4.4
Landscape-Client==12.12
M2Crypto==0.21.1
PAM==0.4.2
Pillow==2.0.0
PyYAML==3.10
Twisted-Core==12.3.0
Twisted-Names==12.3.0
Twisted-Web==12.3.0
apt-xapian-index==0.45
argparse==1.2.1
boto==2.3.0
chardet==2.0.1
cloud-init==0.7.2
configobj==4.7.2
distribute==0.6.34
distro-info==0.10
euca2ools==2.1.1
numpy==1.7.1
oauth==1.0.1
paramiko==1.7.7.1
prettytable==0.6.1
pyOpenSSL==0.13
pycrypto==2.6
pycurl==7.19.0
pygobject==3.8.0
pyserial==2.6
python-apt==0.8.8ubuntu6
python-debian==0.1.21-nmu2ubuntu1
requests==1.1.0
scipy==0.11.0
six==1.2.0
ssh-import-id==3.14
urllib3==1.5
virtualenv==1.10.1
wsgiref==0.1.2
zope.interface==4.0.5
virtualenv 的pip freeze
命令返回
Cython==0.19.2
Flask==0.10.1
Flask-Bootstrap==3.0.0.1
Flask-WTF==0.9.3
Jinja2==2.7.1
MarkupSafe==0.18
WTForms==1.0.5
Werkzeug==0.9.4
argparse==1.2.1
beautifulsoup4==4.3.2
itsdangerous==0.23
numpy==1.7.1
pymongo==2.6.2
requests==2.0.0
wsgiref==0.1.2
一种解决方案是在您的微型实例上临时启用交换。 如此SO post 所述,通过以下方式启用 1gb 交换:
sudo /bin/dd if=/dev/zero of=/var/swap.1 bs=1M count=1024
sudo /sbin/mkswap /var/swap.1
sudo /sbin/swapon /var/swap.1
交换打开后,通过 pip 安装 scipy:
sudo apt-get install -y libatlas-base-dev gfortran python-dev build-essential g++
sudo pip install numpy
sudo pip install scipy
scipy 成功安装后,您可以通过以下方式禁用它:
sudo swapoff /var/swap.1
sudo rm /var/swap.1
这对我有用:
pip --no-cache-dir install scipy
看:
使用 pip install Matplotlib 时出现内存错误
https://github.com/pypa/pip/blob/9a23d4ed119327d3b823ec223aaead90964bac58/pip/basecommand.py#L56-L63
笔记:
对我来说,错误略有不同。
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
----------------------------------------
Cleaning up...
Command /home/kdixit/pyvirt/bin/python -c "import setuptools;__file__='/home/kdixit/pyvirt/build/scipy/setup.py';exec(compile(open(__file__).read().replace('\r\n
因此我不得不安装
sudo apt-get install libblas-dev
然后它起作用了。
期间我得到了一个虚拟内存错误的scipy
一个汇编t2.micro
,我觉得numpy
编译就好了。 无论如何,我想Dolan Antenucci的答案会解决我的问题,但我选择了另一条路线,一种妥协,它确实有效。
我正在运行一个Ubuntu
实例,所以请记住这一点。
sudo apt-get -y install python-scipy && echo -e "\nok, installed python-scipy, continuing...\n"
# add scipy to the venv
mkdir ~/venv_PROJECT/lib/python2.7/site-packages/scipy/
ln -s /usr/lib/python2.7/dist-packages/scipy/* ~/venv_PROJECT/lib/python2.7/site-packages/scipy/
# add numpy to the venv
mkdir ~/venv_PROJECT/lib/python2.7/site-packages/numpy/
ln -s /usr/lib/python2.7/dist-packages/numpy/* ~/venv_PROJECT/lib/python2.7/site-packages/numpy/
# add PIL to the venv
mkdir ~/venv_PROJECT/lib/python2.7/site-packages/PIL/
ln -s /usr/lib/python2.7/dist-packages/PIL/* ~/venv_PROJECT/lib/python2.7/site-packages/PIL/
妥协是你将无法在不同的虚拟环境中使用不同的版本,并且你被绑定到 repo 中的版本。
一句警告:
>>> import scipy
>>> scipy.__version__
'0.13.3'
>>> import numpy
>>> numpy.__version__
'1.8.2'
>>> from PIL import Image
>>> Image.VERSION
'1.1.7'
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