支持打包pip

MANIFEST.in

@@ -0,0 +1,4 @@
+include foolbox/VERSION
+include *.png
+include *.txt
+include *.pbtxt

setup.py

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+# coding=utf-8
+
+#python setup.py sdist build
+#twine upload dist/*
+
+
+
+from setuptools import setup
+from setuptools import find_packages
+from os.path import join, dirname
+# We need io.open() (Python 3's default open) to specify file encodings
+import io
+
+
+
+install_requires = [
+    'numpy',
+    'scipy',
+    'setuptools',
+    'requests',
+    'GitPython'
+]
+
+README="AdvBox是一款由百度安全实验室研发，在百度大范围使用的AI模型安全工具箱，目前原生支持PaddlePaddle、PyTorch、Caffe2、MxNet、" \
+       "Keras以及TensorFlow平台，方便广大开发者和安全工程师可以使用自己熟悉的框架。  AdvBox同时支持GraphPipe,屏蔽了底层使用的深度学习" \
+       "平台，用户可以通过几个命令就可以对PaddlePaddle、PyTorch、Caffe2、MxNet、CNTK、ScikitLearn以及TensorFlow平台生成的模型文件进行黑盒攻击。"
+
+
+version="0.4.1"
+
+tests_require = [
+    'pytest',
+    'pytest-cov',
+]
+
+setup(
+    name="advbox",
+    version=version,
+    description="Python toolbox to create adversarial examples that fool neural networks",  # noqa: E501
+    long_description=README,
+    classifiers=[
+        "Development Status :: 3 - Alpha",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Science/Research",
+        "License :: OSI Approved :: MIT License",
+        "Programming Language :: Python :: 2.7",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.5",
+        "Programming Language :: Python :: 3.6",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    ],
+    keywords="",
+    author="baidu xlab",
+    author_email="liu.yan@baidu.com",
+    url="https://github.com/baidu/advbox",
+    license="Apache License 2.0",
+    packages=find_packages(),
+    include_package_data=True,
+    zip_safe=False,
+    install_requires=install_requires
+)