{"package": "surprisememore", "summary": "SurpriseMeMore is a python module providing methods, based on the surprise framework, to detect mesoscale structures(e.g. communities, core-periphery, bow-tie) in graphs and multigraphs.", "pypi_url": "https://pypi.org/project/surprisememore", "piwheels_url": "https://www.piwheels.org/project/surprisememore", "releases": {"0.1.0": {"released": "2021-06-10 10:25:44", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"surprisememore-0.1.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/surprisememore/surprisememore-0.1.0-py3-none-any.whl", "filehash": "5157126ddd766988b437595a1b3af34943c235bb0e1edafd2248409d23151f7f", "filesize": 29949, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["mpmath", "networkx", "numba", "numpy", "scipy", "tqdm"]}}}}}