[Doc] Add Documentation/ stub

This commit is contained in:
Wojtek Porczyk
2019-08-14 21:03:57 +02:00
parent 24cba75bad
commit 3928126a70
15 changed files with 601 additions and 219 deletions
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_build
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PROJECT_NAME = "Graphene"
OUTPUT_DIRECTORY = _build/doxygen
GENERATE_XML = YES
XML_PROGRAMLISTING = NO
XML_OUTPUT = xml
GENERATE_HTML = NO
GENERATE_LATEX = NO
RECURSIVE = YES
INPUT = \
../Pal \
../LibOS/shim/include \
../LibOS/shim/src
EXCLUDE = \
../Pal/lib \
../Pal/regression \
../Pal/test
#EXCLUDE_PATTERNS =
WARN_NO_PARAMDOC = YES
WARN_AS_ERROR = NO
OPTIMIZE_OUTPUT_FOR_C = YES
EXTRACT_STATIC = YES
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# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
SOURCEDIR = .
BUILDDIR = _build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
clean:
$(RM) -r "$(BUILDDIR)"
.PHONY: help Makefile Doxyfile clean
# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile Doxyfile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
import collections
import pathlib
import subprocess
import recommonmark.parser
# -- Project information -----------------------------------------------------
project = 'Graphene'
copyright = '2019, Graphene Contributors'
author = 'Graphene Contributors'
# The short X.Y version
version = ''
# The full version, including alpha/beta/rc tags
release = ''
# -- General configuration ---------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.todo',
'breathe',
'recommonmark',
'sphinx_rtd_theme',
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
source_suffix = {
'.rst': 'restructuredtext',
'.md': 'markdown',
'.markdown': 'markdown',
}
# The master toctree document.
master_doc = 'index'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = None
rst_prolog = '''
.. |nbsp| unicode:: 0xa0
:trim:
'''
breathe_default_project = 'graphene'
breathe_projects = {breathe_default_project: '_build/doxygen/xml'}
def generate_doxygen(app):
subprocess.check_call(['doxygen', 'Doxyfile'])
def setup(app):
app.connect('builder-inited', generate_doxygen)
todo_include_todos = True
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Custom sidebar templates, must be a dictionary that maps document names
# to template names.
#
# The default sidebars (for documents that don't match any pattern) are
# defined by theme itself. Builtin themes are using these templates by
# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
# 'searchbox.html']``.
#
# html_sidebars = {}
# -- Options for manual page output ------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('manpages/pal_loader', 'pal_loader', 'FIXME Loader', [author], 1),
]
# barf if a page is not included
assert (collections.Counter(str(p.with_suffix(''))
for p in pathlib.Path().glob('manpages/*.rst')
if not p.stem == 'index')
== collections.Counter(source
for source, *_ in man_pages))
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Glossary
========
.. keep this file sorted lexicographically
.. glossary::
PAL
Platform Adaption Layer
.. todo:: Is this really correct?
SGX
Software Guard Extensions is a set of instructions on Intel processors.
See https://en.wikipedia.org/wiki/Software_Guard_Extensions.
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.. _doc-howto:
How to write documentation
==========================
Documentation is generally written as `reStructuredText`_ files and processed
using `Sphinx`_. See `Sphinx' reST primer`_ for short introduction into syntax.
:ref:`Old Wiki <old-wiki>` is imported as it was, in Markdown, but new
documentation should be written in reST.
API documentation of C |nbsp| language should be written as Doxygen comments
(prefer Qt-style ``/*!`` and ``\param``) and then included in one of the
``.rst`` files (with appropriate description) using one of the `Breathe
directives`_, like :rst:dir:`doxygenfunction` or :rst:dir:`doxygenstruct`. See
`Breathe`_ documentation for more info. Do not use ``autodoxygen`` directives,
and especially do not use ``.. doxygenfile::``, because documentation should be
written as prose, not a |nbsp| coredump.
In ``.rst`` files use 3-space tab. This is an uncommon value, but good value
because intended blocks usually follow explicit markup, which begins with
``..``). Wrap the paragraphs at 80th character, but don't wrap verbatim text
like logs and use applicable style when wrapping code examples. Use Python
convention for header hierarchy: ``#`` with overline, ``*`` with overline,
``=``, ``-``, ``^``, ``"``. This means most documents use only ``=`` and ``-``
underlines. Those underlines are easy to enter in :command:`vim` using the
combination ``yypVr-``.
Documentation of the code should be organized into files by logical concepts,
as they fit into programmers mind. Ideally, this should match the source files,
if those files were organised correctly in the first place, but the reality may
be different. In case of doubt, place them as they fit the narration of the
document, not as they are placed in the source files.
Documents should be grouped by general areas and presented using
:rst:dir:`toctree` directive in :file:`index.rst` file. This causes them to be
included in TOC in the main document and also in sidebar on RTD.
The documentation targets ``html`` output of Sphinx. The :file:`manpages/`
subdirectory also targets ``manpage`` builder. Other formats (like ``latex``)
may be considered in the future, but for now their output is neither published
not cared for.
.. _reStructuredText: https://en.wikipedia.org/wiki/ReStructuredText
.. _Sphinx: https://www.sphinx-doc.org/
.. _Sphinx' reST primer: https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
.. _Breathe: https://breathe.readthedocs.io/en/latest/
.. _Breathe directives: https://breathe.readthedocs.io/en/latest/directives.html
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.. include:: ../README.rst
.. toctree::
:caption: Introduction
:maxdepth: 2
glossary
howto-doc
.. toctree::
:caption: LibOS
libos/shim-init
.. toctree::
:caption: Manual pages
:maxdepth: 1
:glob:
manpages/*
.. _old-wiki:
.. toctree::
:caption: Old Wiki (to be rewritten)
:maxdepth: 1
:glob:
oldwiki/*
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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A random file documentation
===========================
.. note::
This file is more like a |nbsp| stub, not yet a |nbsp| real documentation.
There is a |nbsp| random function:
.. doxygenfunction:: parse_int
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.. program:: pal_loader
======================================
:program:`pal_loader` -- Run something
======================================
.. note::
This page is a stub.
Synopsis
========
:command:`pal_loader` [SGX] [GDB] {<*MANIFEST*> | <*EXECUTABLE*>} [<*ARGS*> ...]
Description
===========
Command line arguments
======================
.. option:: SGX
Enable :term:`SGX`.
.. seealso::
:envvar:`SGX environment variable <SGX>`
For an equivalent.
Environment variables
=====================
.. envvar:: SGX
If not empty and not ``0``, enable :term:`SGX`. Could be used instead of
:option:`SGX option <SGX>`. This has some unexplained interaction with
:envvar:`SGX_RUN`.
.. envvar:: SGX_RUN
This is a mystery to me. It cannot be set together with :envvar:`SGX`.
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breathe
recommonmark
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You should have received a copy of the GNU Lesser General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>. */
/*
* shim_init.c
/*!
* \file shim_init.c
*
* This file contains entry and exit functions of library OS.
*/
@@ -110,6 +110,15 @@ long convert_pal_errno (long err)
pal_errno_to_unix_errno[err] : 0;
}
/*!
* \brief Parse a number into an unsigned long.
*
* \param str A string containing a non-negative number.
*
* By default the number should be decimal, but if it starts with 0x it is
* parsed as hexadecimal and if it otherwise starts with 0, it is parsed as
* octal.
*/
unsigned long parse_int (const char * str)
{
unsigned long num = 0;
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# Graphene Library OS with Intel:registered: SGX Support
![Travis Logo](https://travis-ci.org/oscarlab/graphene.svg?branch=master)
*A Linux-compatible Library OS for Multi-Process Applications*
## 1. WHAT IS GRAPHENE?
Graphene Library OS is a project which provides lightweight guest OSes with
support for Linux multi-process applications. Graphene can run applications
in an isolated environment with virtualization benefits such as guest
customization, platform independence, and migration, which is comparable
to other virtual machines.
Graphene Library OS supports native, unmodified Linux applications on
any platform. Currently, Graphene Library OS is successfully ported to
Linux, FreeBSD and Intel SGX enclaves upon Linux platforms.
With the Intel:registered: SGX support, Graphene Library OS can secure a critical
application in a hardware encrypted memory region. Graphene Library OS can
protect applications against a malicious system stack with minimal porting
effort.
Graphene Library OS is a work published in Eurosys 2014. For more
information. see the paper: Tsai, et al, "Cooperation and Security Isolation
of Library OSes for Multi-Process Applications", Eurosys 2014.
## 2. HOW TO BUILD GRAPHENE?
Graphene Library OS is consist of five parts:
- Instrumented GNU Library C
- LibOS (a shared library named "libsysdb.so")
- PAL, a.k.a Platform Adaption Layer (a shared library named "libpal.so")
Graphene Library OS currently only works on x86_64 architecture.
Graphene Library OS is tested to be compiling and running on Ubuntu 14.04/16.04
(both server and desktop version), along with Linux kernel 3.5/3.14/4.4.
We recommend to build and install Graphene with the same host platform.
Other distributions of 64-bit Linux can potentially, but the result is not
guaranteed. If you find Graphene not working on other distributions, please
contact us with a detailed bug report.
Run the following command on Ubuntu to install dependencies for Graphene:
sudo apt-get install -y build-essential autoconf gawk bison
For building Graphene for SGX, run the following command in addition:
sudo apt-get install -y python-protobuf
To run unit tests locally, you also need the python3-pytest package:
sudo apt-get install -y python3-pytest
To build the system, simply run the following commands in the root of the
source tree:
git submodule update --init -- Pal/src/host/Linux-SGX/sgx-driver/
make
Each part of Graphene can be built separately in the subdirectories.
To build Graphene library OS with debug symbols, run "make DEBUG=1" instead of
"make". To specify custom mirrors for downloading the GLIBC source, use
"GLIBC_MIRRORS=..." when running "make".
To build with "-Werror", run "make WERROR=1".
### 2.1. BUILD WITH KERNEL-LEVEL SANDBOXING (OPTIONAL)
This feature is marked as EXPERIMENTAL and no longer exists in the mainstream code.
### 2.2 BUILD WITH INTEL:registered: SGX SUPPORT
#### 2.1.1 Prerequisites
(1) Generating signing keys
A 3072-bit RSA private key (PEM format) is required for signing the enclaves.
If you don't have a private key, create it with the following command:
openssl genrsa -3 -out enclave-key.pem 3072
You could either put the generated enclave key to the default path,
'host/Linux-SGX/signer/enclave-key.pem', or specify the key through environment
variable 'SGX_SIGNER_KEY' when building Graphene with SGX support.
After signing the enclaves, users may ship the application files with the
built Graphene Library OS, along with a SGX-specific manifest (.manifest.sgx
files) and the signatures, to the SGX-enabled hosts.
(2) Installing Intel SGX SDK and driver
The Intel SGX Linux SDK is required for running Graphene Library OS. Download and install
from the official Intel github repositories:
- <https://github.com/01org/linux-sgx>
- <https://github.com/01org/linux-sgx-driver>
A Linux driver must be installed before running Graphene Library OS in enclaves.
Simply run the following command to build the driver:
__** Please make sure the GCC version is either 4 or 5 **__
cd Pal/src/host/Linux-SGX/sgx-driver
make
(The console will be prompted to ask for the path of Intel SGX driver code)
sudo ./load.sh
#### 2.1.2 Building Graphene-SGX
To build Graphene Library OS with Intel SGX support, in the root directory of Graphene repo, run following command:
make SGX=1
To build with debug symbols, run the command:
make SGX=1 DEBUG=1
Using "make SGX=1" in the test or regression directory will automatically generate the enclave signatures (.sig files).
#### 2.1.3 Run Built-in Examples in Graphene-SGX
There are a few built-in examples under LibOS/shim/test/. The "native" folder includes a rich set of C programs and "apps" folder includes a few tested applications, such as GCC, Python, and Apache.
(1) Build and run a Hello World program with Graphene on SGX
- go to LibOS/shim/test/native, build the enclaves via command:
make SGX=1
The command will build enclaves for all the programs in the folder
- Generate the token from aesmd service, via command:
make SGX_RUN=1
- Run Hello World program with Graphene on SGX:
SGX=1 ./pal_loader helloworld or ./pal_loader SGX helloworld
(2) Build and run python helloworld script in Graphene on SGX
- go to LibOS/shim/test/apps/python, build the enclave:
make SGX=1
- Generate token:
make SGX_RUN=1
- Run python helloworld with Graphene-SGX via:
SGX=1 ./python.manifest.sgx scripts/helloworld.py
#### 2.1.3 Including Application Test Cases
To add the application test cases, issue the following command from the root
of the source tree:
git submodule update --init -- LibOS/shim/test/apps/
## 3. HOW TO RUN AN APPLICATION IN GRAPHENE?
Graphene library OS uses PAL (libpal.so) as a loader to bootstrap an
application in the library OS. To start Graphene, PAL (libpal.so) will have
to be run as an executable, with the name of the program, and a "manifest
file" given from the command line. Graphene provides three options for
specifying the programs and manifest files:
- option 1: (automatic manifest)
[PATH TO Runtime]/pal_loader [PROGRAM] [ARGUMENTS]...
(Manifest file: "[PROGRAM].manifest" or "manifest")
- option 2: (given manifest)
[PATH TO Runtime]/pal_loader [MANIFEST] [ARGUMENTS]...
- option 3: (manifest as a script)
[PATH TO MANIFEST]/[MANIFEST] [ARGUMENTS]...
(Manifest must have "#![PATH_TO_PAL]/libpal.so" as the first line)
Although manifest files are optional for Graphene, running an application
usually requires some minimal configuration in its manifest file. A
sensible manifest file will include paths to the library OS and GNU
library C, environment variables such as LD_LIBRARY_PATH and file systems to
be mounted.
Here is an example of manifest files:
loader.preload = file:LibOS/shim/src/libsysdb.so
loader.env.LDL_LIBRAY_PATH = /lib
fs.mount.glibc.type = chroot
fs.mount.glibc.path = /lib
fs.mount.glibc.uri = file:LibOS/build
More examples can be found in the test directories (LibOS/shim/test). We have
also tested several commercial applications such as GCC, Bash and Apache,
and the manifest files that bootstrap them in Graphene are provided in the
individual directories.
For more information and the detail of the manifest syntax, see the Graphene
github Wiki page: <https://github.com/oscarlab/graphene/wiki>.
## 4. CONTACT
For any questions or bug reports, please send an email to <support@graphene-project.io> or post an
issue on our GitHub repository: <https://github.com/oscarlab/graphene/issues>.
Our mailing list is publicly archived [here](https://groups.google.com/forum/#!forum/graphene-support).
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******************************************
Graphene Library OS with Intel SGX Support
******************************************
.. image:: https://readthedocs.org/projects/graphene/badge/?version=latest
:target: http://graphene.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
*A Linux-compatible Library OS for Multi-Process Applications*
.. This is not |nbsp|, because that is in rst_prolog in conf.py, which GitHub
cannot parse. GitHub doesn't appear to use it correctly anyway...
.. |_| unicode:: 0xa0
:trim:
What is Graphene?
=================
Graphene Library OS is a |_| project which provides lightweight guest OSes
with support for Linux multi-process applications. Graphene can run applications
in an isolated environment with virtualization benefits such as guest
customization, platform independence, and migration, which is comparable to
other virtual machines.
Graphene Library OS supports native, unmodified Linux applications on
any platform. Currently, Graphene Library OS is successfully ported to
Linux, FreeBSD and Intel SGX enclaves upon Linux platforms.
With the Intel SGX support, Graphene Library OS can secure a |_| critical
application in a |_| hardware encrypted memory region. Graphene Library OS can
protect applications against a |_| malicious system stack with minimal porting
effort.
Graphene Library OS is a |_| work published in Eurosys 2014. For more
information. see the paper: Tsai, et al, "Cooperation and Security Isolation
of Library OSes for Multi-Process Applications", Eurosys 2014.
How to build Graphene?
======================
Graphene Library OS is consist of five parts:
- Instrumented GNU C Library
- LibOS (a shared library named ``libsysdb.so``)
- PAL, a.k.a Platform Adaption Layer (a shared library named ``libpal.so``)
Graphene Library OS currently only works on x86_64 architecture.
Graphene Library OS is tested to be compiling and running on Ubuntu 14.04/16.04
(both server and desktop version), along with Linux kernel 3.5/3.14/4.4.
We recommend to build and install Graphene with the same host platform.
Other distributions of 64-bit Linux can potentially, but the result is not
guaranteed. If you find Graphene not working on other distributions, please
contact us with a detailed bug report.
Run the following command on Ubuntu to install dependencies for Graphene::
sudo apt-get install -y build-essential autoconf gawk bison
For building Graphene for SGX, run the following command in addition::
sudo apt-get install -y python-protobuf
To run unit tests locally, you also need the python3-pytest package::
sudo apt-get install -y python3-pytest
To build the system, simply run the following commands in the root of the
source tree::
git submodule update --init -- Pal/src/host/Linux-SGX/sgx-driver/
make
Each part of Graphene can be built separately in the subdirectories.
To build Graphene library OS with debug symbols, run ``make DEBUG=1``
instead of ``make``. To specify custom mirrors for downloading the GLIBC
source, use ``make GLIBC_MIRRORS=...``.
To build with ``-Werror``, run ``make WERROR=1``.
Build with kernel-level sandboxing (optional)
---------------------------------------------
This feature is marked as EXPERIMENTAL and no longer exists in the mainstream code.
Build with Intel SGX Support
----------------------------
Prerequisites
^^^^^^^^^^^^^
1. Generating signing keys
A 3072-bit RSA private key (PEM format) is required for signing the enclaves.
If you don't have a private key, create it with the following command::
openssl genrsa -3 -out enclave-key.pem 3072
You could either put the generated enclave key to the default path,
``host/Linux-SGX/signer/enclave-key.pem``, or specify the key through
environment variable ``SGX_SIGNER_KEY`` when building Graphene with SGX
support.
After signing the enclaves, users may ship the application files with the
built Graphene Library OS, along with a SGX-specific manifest (.manifest.sgx
files) and the signatures, to the SGX-enabled hosts.
2. Installing Intel SGX SDK and driver
The Intel SGX Linux SDK is required for running Graphene Library OS. Download
and install from the official Intel github repositories:
- <https://github.com/01org/linux-sgx>
- <https://github.com/01org/linux-sgx-driver>
A Linux driver must be installed before running Graphene Library OS in
enclaves. Simply run the following command to build the driver:
.. note::
Please make sure the GCC version is either 4 or 5
::
cd Pal/src/host/Linux-SGX/sgx-driver
make
(The console will be prompted to ask for the path of Intel SGX driver code)
sudo ./load.sh
Building Graphene-SGX
^^^^^^^^^^^^^^^^^^^^^
To build Graphene Library OS with Intel SGX support, in the root directory of
Graphene repo, run following command::
make SGX=1
To build with debug symbols, run the command::
make SGX=1 DEBUG=1
Using ``make SGX=1`` in the test or regression directory will automatically
generate the enclave signatures (.sig files).
Run Built-in Examples in Graphene-SGX
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
There are a few built-in examples under ``LibOS/shim/test/``. The "native"
folder includes a |_| rich set of C |_| programs and "apps" folder includes
a |_| few tested applications, such as GCC, Python, and Apache.
1. Build and run a |_| Hello World program with Graphene on SGX
- go to LibOS/shim/test/native, build the enclaves via command::
make SGX=1
The command will build enclaves for all the programs in the folder
- Generate the token from aesmd service, via command::
make SGX_RUN=1
- Run Hello World program with Graphene on SGX::
SGX=1 ./pal_loader helloworld
or::
./pal_loader SGX helloworld
2. Build and run python helloworld script in Graphene on SGX
- go to LibOS/shim/test/apps/python, build the enclave::
make SGX=1
- Generate token::
make SGX_RUN=1
- Run python helloworld with Graphene-SGX via::
SGX=1 ./python.manifest.sgx scripts/helloworld.py
Including Application Test Cases
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
To add the application test cases, issue the following command from the root
of the source tree::
git submodule update --init -- LibOS/shim/test/apps/
How to run an application in Graphene?
======================================
Graphene library OS uses PAL (``libpal.so``) as a loader to bootstrap an
application in the library OS. To start Graphene, PAL (``libpal.so``) will have
to be run as an executable, with the name of the program, and a |_| "manifest
file" given from the command line. Graphene provides three options for
specifying the programs and manifest files:
- option 1 (automatic manifest)::
[PATH TO Runtime]/pal_loader [PROGRAM] [ARGUMENTS]...
(Manifest file: "[PROGRAM].manifest" or "manifest")
- option 2 (given manifest)::
[PATH TO Runtime]/pal_loader [MANIFEST] [ARGUMENTS]...
- option 3 (manifest as a script)::
[PATH TO MANIFEST]/[MANIFEST] [ARGUMENTS]...
(Manifest must have "#![PATH_TO_PAL]/libpal.so" as the first line)
Although manifest files are optional for Graphene, running an application
usually requires some minimal configuration in its manifest file. A |_| sensible
manifest file will include paths to the library OS and GNU library C,
environment variables such as LD_LIBRARY_PATH and file systems to
be mounted.
Here is an example of manifest files::
loader.preload = file:LibOS/shim/src/libsysdb.so
loader.env.LDL_LIBRAY_PATH = /lib
fs.mount.glibc.type = chroot
fs.mount.glibc.path = /lib
fs.mount.glibc.uri = file:LibOS/build
More examples can be found in the test directories (``LibOS/shim/test``). We
have also tested several commercial applications such as GCC, Bash and Apache,
and the manifest files that bootstrap them in Graphene are provided in the
individual directories.
For more information and the detail of the manifest syntax, see the `Graphene
documentation <https://graphene.rtfd.io/>`_.
Contact
=======
For any questions or bug reports, please send an email to
<support@graphene-project.io> or post an issue on our GitHub repository:
<https://github.com/oscarlab/graphene/issues>.
Our mailing list is publicly archived `here
<https://groups.google.com/forum/#!forum/graphene-support>`_.