我有一个包含.pyx及其等效.cpp的模块。
当我运行python setup.py develop
时,只有.cpp
个文件会转换为.so
。但是,由于只有.pyx
文件足以让我更改它们,我希望它们转换为.so
。这个模块很大,因此单独编译.pyx
文件可能会很忙。
理想情况下,我希望python setup.py develop
将.pyx
文件直接转换为.so
。
这是设置文件
#! /usr/bin/env python
#
# Copyright (C) 2012 Mathieu Blondel
import sys
import os
DISTNAME = 'lightning'
DESCRIPTION = "Large-scale sparse linear classification, " + \
"regression and ranking in Python"
LONG_DESCRIPTION = open('README.rst').read()
MAINTAINER = 'Mathieu Blondel'
MAINTAINER_EMAIL = 'mathieu@mblondel.org'
URL = 'https://github.com/mblondel/lightning'
LICENSE = 'new BSD'
DOWNLOAD_URL = 'https://github.com/mblondel/lightning'
VERSION = '0.1-git'
import setuptools # we are using a setuptools namespace
from numpy.distutils.core import setup
def configuration(parent_package='', top_path=None):
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path)
config.add_subpackage('lightning')
return config
if __name__ == "__main__":
old_path = os.getcwd()
local_path = os.path.dirname(os.path.abspath(sys.argv[0]))
os.chdir(local_path)
sys.path.insert(0, local_path)
setup(configuration=configuration,
name=DISTNAME,
maintainer=MAINTAINER,
include_package_data=True,
scripts=["bin/lightning_train",
"bin/lightning_predict"],
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
version=VERSION,
download_url=DOWNLOAD_URL,
long_description=LONG_DESCRIPTION,
zip_safe=False, # the package can run out of an .egg file
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved',
'Programming Language :: C',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS'
]
)
这是Make File,
PYTHON ?= python
CYTHON ?= cython
NOSETESTS ?= nosetests
DATADIR=$(HOME)/lightning_data
# Compilation...
CYTHONSRC= $(wildcard lightning/impl/*.pyx lightning/impl/randomkit/*.pyx)
CSRC= $(CYTHONSRC:.pyx=.cpp)
inplace:
$(PYTHON) setup.py build_ext -i
all: cython inplace
cython: $(CSRC)
clean:
rm -f lightning/impl/*.c lightning/impl/*.html
rm -f `find lightning -name "*.pyc"`
rm -f `find lightning -name "*.so"`
%.cpp: %.pyx
$(CYTHON) --cplus $<
# Tests...
#
test-code: in
$(NOSETESTS) -s lightning
test-coverage:
$(NOSETESTS) -s --with-coverage --cover-html --cover-html-dir=coverage \
--cover-package=lightning lightning
test: test-code test-doc
# Datasets...
#
datadir:
mkdir -p $(DATADIR)
# regression
download-abalone: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/abalone_scale
mv abalone_scale $(DATADIR)
download-cadata: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/cadata
mv cadata $(DATADIR)
download-cpusmall: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/cpusmall_scale
mv cpusmall_scale $(DATADIR)
download-space_ga: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/space_ga_scale
mv space_ga_scale $(DATADIR)
download-YearPredictionMSD: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/YearPredictionMSD.bz2
bunzip2 YearPredictionMSD.bz2
mv YearPredictionMSD $(DATADIR)
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/YearPredictionMSD.t.bz2
bunzip2 YearPredictionMSD.t.bz2
mv YearPredictionMSD.t $(DATADIR)
# binary classification
download-adult: datadir
./download.sh http://leon.bottou.org/_media/papers/lasvm-adult.tar.bz2
tar xvfj lasvm-adult.tar.bz2
mv adult $(DATADIR)
rm lasvm-adult.tar.bz2
download-banana: datadir
./download.sh http://leon.bottou.org/_media/papers/lasvm-banana.tar.bz2
tar xvfj lasvm-banana.tar.bz2
mv banana $(DATADIR)
rm lasvm-banana.tar.bz2
download-covtype: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/covtype.libsvm.binary.scale.bz2
bunzip2 covtype.libsvm.binary.scale.bz2
mv covtype.libsvm.binary.scale $(DATADIR)
download-ijcnn: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/ijcnn1.tr.bz2
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/ijcnn1.t.bz2
bunzip2 ijcnn1.tr.bz2
bunzip2 ijcnn1.t.bz2
mv ijcnn1* $(DATADIR)
download-real-sim: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/real-sim.bz2
bunzip2 real-sim.bz2
mv real-sim $(DATADIR)/realsim
download-reuters: datadir
./download.sh http://leon.bottou.org/_media/papers/lasvm-reuters.tar.bz2
tar xvfj lasvm-reuters.tar.bz2
mv reuters $(DATADIR)
rm lasvm-reuters.tar.bz2
download-url: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/url_combined.bz2
bunzip2 url_combined.bz2
mv url_combined $(DATADIR)
download-waveform: datadir
./download.sh http://leon.bottou.org/_media/papers/lasvm-waveform.tar.bz2
tar xvfj lasvm-waveform.tar.bz2
mv waveform $(DATADIR)
rm lasvm-waveform.tar.bz2
download-webspam: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/webspam_wc_normalized_unigram.svm.bz2
bunzip2 webspam_wc_normalized_unigram.svm.bz2
mv webspam_wc_normalized_unigram.svm $(DATADIR)/webspam
# multi-class
download-dna: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/dna.scale.tr
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/dna.scale.t
mv dna* $(DATADIR)
download-letter: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/letter.scale.tr
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/letter.scale.t
mv letter* $(DATADIR)
download-mnist: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/mnist.scale.bz2
bunzip2 mnist.scale.bz2
mv mnist.scale $(DATADIR)
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/mnist.scale.t.bz2
bunzip2 mnist.scale.t.bz2
mv mnist.scale.t $(DATADIR)
download-news20: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/news20.scale.bz2
bunzip2 news20.scale.bz2
mv news20.scale $(DATADIR)
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/news20.t.scale.bz2
bunzip2 news20.t.scale.bz2
mv news20.t.scale $(DATADIR)
download-pendigits: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits.t
mv pendigits* $(DATADIR)
download-protein: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/protein.tr.bz2
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/protein.t.bz2
bunzip2 protein.tr.bz2
bunzip2 protein.t.bz2
mv protein* $(DATADIR)
download-rcv1: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/rcv1_train.multiclass.bz2
bunzip2 rcv1_train.multiclass.bz2
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/rcv1_test.multiclass.bz2
bunzip2 rcv1_test.multiclass.bz2
mv rcv1* $(DATADIR)
download-satimage: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/satimage.scale.tr
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/satimage.scale.t
mv satimage* $(DATADIR)
download-sector: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/sector/sector.scale.bz2
bunzip2 sector.scale.bz2
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/sector/sector.t.scale.bz2
bunzip2 sector.t.scale.bz2
mv sector* $(DATADIR)
download-usps: datadir
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/usps.bz2
bunzip2 usps.bz2
mv usps $(DATADIR)
./download.sh http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/usps.t.bz2
bunzip2 usps.t.bz2
mv usps.t $(DATADIR)
在编译期间,我得到了这个输出,
compile options: '-I/home/is/anaconda/lib/python2.7/site-packages/numpy/core/include -I/home/is/lightning/lightning/impl/randomkit -I/home/is/anaconda/lib/python2.7/site-packages/numpy/core/include -I/home/is/anaconda/include/python2.7 -c'
c++: svrg_fast.cpp
我希望设置编译.c
代码,因为我可以轻松地将.pyx
转换为.c
。或者是否可以将.pyx转换为C ++?
提前致谢!
答案 0 :(得分:0)
刚刚找到了办法。
假设我正在对file.pyx
进行更改,我可以通过运行将其编译为.cpp
,
cython --cplus file.pyx
然后,我只需通过运行
重新构建模块 sudo python setup.py develop
希望这有帮助!