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setup.py
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setup.py
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# Copyright 2017-2018 The dm_control Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Install script for setuptools."""
import fnmatch
import logging
import os
import platform
import subprocess
import sys
import mujoco
import setuptools
from setuptools import find_packages
from setuptools import setup
from setuptools.command import install
from setuptools.command import test
PLATFORM = platform.system()
# Relative paths to the binding generator script and the output directory.
AUTOWRAP_PATH = 'dm_control/autowrap/autowrap.py'
MJBINDINGS_DIR = 'dm_control/mujoco/wrapper/mjbindings'
# We specify the header filenames explicitly rather than listing the contents
# of the `HEADERS_DIR` at runtime, since it will probably contain other stuff
# (e.g. `glfw.h`).
HEADER_FILENAMES = [
'mjdata.h',
'mjmodel.h',
'mjrender.h',
'mjtnum.h',
'mjui.h',
'mjvisualize.h',
'mjxmacro.h',
'mujoco.h',
]
def _initialize_mjbindings_options(cmd_instance):
"""Set default values for options relating to `build_mjbindings`."""
# A default value must be assigned to each user option here.
cmd_instance.inplace = 0
cmd_instance.headers_dir = mujoco.HEADERS_DIR
def _finalize_mjbindings_options(cmd_instance):
"""Post-process options relating to `build_mjbindings`."""
headers_dir = os.path.expanduser(cmd_instance.headers_dir)
header_paths = []
for filename in HEADER_FILENAMES:
full_path = os.path.join(headers_dir, filename)
if not os.path.exists(full_path):
raise IOError('Header file {!r} does not exist.'.format(full_path))
header_paths.append(full_path)
cmd_instance.header_paths = ' '.join(header_paths)
class BuildMJBindingsCommand(setuptools.Command):
"""Runs `autowrap.py` to generate the low-level ctypes bindings for MuJoCo."""
description = __doc__
user_options = [
# The format is (long option, short option, description).
('headers-dir=', None, 'Path to directory containing MuJoCo headers.'),
(
'inplace=',
None,
'Place generated files in source directory rather than `build-lib`.',
),
]
boolean_options = ['inplace']
def initialize_options(self):
_initialize_mjbindings_options(self)
def finalize_options(self):
_finalize_mjbindings_options(self)
def run(self):
cwd = os.path.realpath(os.curdir)
if self.inplace:
dist_root = cwd
else:
build_cmd = self.get_finalized_command('build')
dist_root = os.path.realpath(build_cmd.build_lib)
output_dir = os.path.join(dist_root, MJBINDINGS_DIR)
command = [
sys.executable or 'python',
AUTOWRAP_PATH,
'--header_paths={}'.format(self.header_paths),
'--output_dir={}'.format(output_dir),
]
self.announce('Running command: {}'.format(command), level=logging.DEBUG)
try:
# Prepend the current directory to $PYTHONPATH so that internal imports
# in `autowrap` can succeed before we've installed anything.
old_environ = os.environ.copy()
new_pythonpath = [cwd]
if 'PYTHONPATH' in old_environ:
new_pythonpath.append(old_environ['PYTHONPATH'])
os.environ['PYTHONPATH'] = ':'.join(new_pythonpath)
subprocess.check_call(command)
finally:
os.environ = old_environ
class InstallCommand(install.install):
"""Runs 'build_mjbindings' before installation."""
user_options = (
install.install.user_options + BuildMJBindingsCommand.user_options
)
boolean_options = (
install.install.boolean_options + BuildMJBindingsCommand.boolean_options
)
def initialize_options(self):
install.install.initialize_options(self)
_initialize_mjbindings_options(self)
def finalize_options(self):
install.install.finalize_options(self)
_finalize_mjbindings_options(self)
def run(self):
self.reinitialize_command('build_mjbindings')
self.run_command('build_mjbindings')
install.install.run(self)
class TestCommand(test.test):
"""Prepends path to generated sources before running unit tests."""
def run(self):
# Generate ctypes bindings in-place so that they can be imported in tests.
self.reinitialize_command('build_mjbindings', inplace=1)
self.run_command('build_mjbindings')
test.test.run(self)
def find_data_files(package_dir, patterns, excludes=()):
"""Recursively finds files whose names match the given shell patterns."""
paths = set()
def is_excluded(s):
for exclude in excludes:
if fnmatch.fnmatch(s, exclude):
return True
return False
for directory, _, filenames in os.walk(package_dir):
if is_excluded(directory):
continue
for pattern in patterns:
for filename in fnmatch.filter(filenames, pattern):
# NB: paths must be relative to the package directory.
relative_dirpath = os.path.relpath(directory, package_dir)
full_path = os.path.join(relative_dirpath, filename)
if not is_excluded(full_path):
paths.add(full_path)
return list(paths)
setup(
name='dm_control',
version='1.0.25',
description='Continuous control environments and MuJoCo Python bindings.',
long_description="""
# `dm_control`: DeepMind Infrastructure for Physics-Based Simulation.
DeepMind's software stack for physics-based simulation and Reinforcement
Learning environments, using MuJoCo physics.
An **introductory tutorial** for this package is available as a Colaboratory
notebook: [Open In Google Colab](https://colab.research.google.com/github/google-deepmind/dm_control/blob/main/tutorial.ipynb).
""",
long_description_content_type='text/markdown',
author='DeepMind',
author_email='[email protected]',
url='https://github.com/google-deepmind/dm_control',
license='Apache License 2.0',
classifiers=[
'License :: OSI Approved :: Apache Software License',
],
keywords='machine learning control physics MuJoCo AI',
python_requires='>=3.9',
install_requires=[
'absl-py>=0.7.0',
'dm-env',
'dm-tree != 0.1.2',
'glfw',
'labmaze',
'lxml',
'mujoco >= 3.2.5',
'numpy >= 1.9.0',
'protobuf >= 3.19.4', # TensorFlow requires protobuf<3.20 (b/182876485)
'pyopengl >= 3.1.4',
'pyparsing >= 3.0.0',
'requests',
'setuptools!=50.0.0', # https://github.com/pypa/setuptools/issues/2350
'scipy',
'tqdm',
],
extras_require={
'HDF5': ['h5py'],
},
tests_require=[
'mock',
'nose',
'pillow>=10.2.0',
],
test_suite='nose.collector',
packages=find_packages(),
package_data={
'dm_control': find_data_files(
package_dir='dm_control',
patterns=[
'*.amc',
'*.msh',
'*.png',
'*.skn',
'*.stl',
'*.xml',
'*.textproto',
'*.h5',
],
excludes=[
'*/dog_assets/extras/*',
'*/kinova/meshes/*', # Exclude non-decimated meshes.
],
),
},
cmdclass={
'build_mjbindings': BuildMJBindingsCommand,
'install': InstallCommand,
'test': TestCommand,
},
entry_points={},
)