58 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			58 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			Python
		
	
	
| import glob
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| import os
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| import sys
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| 
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| try:
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|     from setuptools import setup, find_packages
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| except ImportError:
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|     from distutils.core import setup, find_packages
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| 
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| packages = find_packages(where=".")
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| print("PACKAGES: ", packages)
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| 
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| data_path = '${GTSAM_SOURCE_DIR}/examples/Data/'
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| data_files_and_directories = glob.glob(data_path + '**', recursive=True)
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| data_files = [x for x in data_files_and_directories if not os.path.isdir(x)]
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| 
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| package_data = {
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|     '': [
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|         './*.so',
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|         './*.dll',
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|     ]
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| }
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| 
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| # Cleaner to read in the contents rather than copy them over.
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| readme_contents = open("${PROJECT_SOURCE_DIR}/README.md").read()
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| 
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| setup(
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|     name='gtsam',
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|     description='Georgia Tech Smoothing And Mapping library',
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|     url='https://gtsam.org/',
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|     version='${GTSAM_VERSION_STRING}',  # https://www.python.org/dev/peps/pep-0440/
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|     author='Frank Dellaert et. al.',
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|     author_email='frank.dellaert@gtsam.org',
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|     license='Simplified BSD license',
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|     keywords='slam sam robotics localization mapping optimization',
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|     long_description_content_type='text/markdown',
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|     long_description=readme_contents,
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|     # https://pypi.org/pypi?%3Aaction=list_classifiers
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|     classifiers=[
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|         'Development Status :: 5 - Production/Stable',
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|         'Intended Audience :: Education',
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|         'Intended Audience :: Developers',
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|         'Intended Audience :: Science/Research',
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|         'Operating System :: MacOS',
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|         'Operating System :: Microsoft :: Windows',
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|         'Operating System :: POSIX',
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|         'License :: OSI Approved :: BSD License',
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|         'Programming Language :: Python :: 2',
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|         'Programming Language :: Python :: 3',
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|     ],
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|     packages=packages,
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|     package_data=package_data,
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|     data_files=[('${GTSAM_PYTHON_DATASET_DIR}', data_files),],
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|     test_suite="gtsam.tests",
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|     install_requires=["numpy"],
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|     zip_safe=False,
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| )
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