{
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        "author": "Bruno Messias; Thomas K. Peron",
        "author_email": "messias.physics@gmail.com",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# Install\n\n```bash\ngit clone https://github.com/stdogpkg/cukuramoto/ && cd cukuramoto && python setup.py install\n```\n\n# Running\n\n```python\nimport igraph as ig\nimport numpy as np\nfrom stdog.utils.misc import ig2sparse \n\nblock_size=1024 # gpu parameter\n\nnum_couplings = 40\nN = 10000\n\nG = ig.Graph.Erdos_Renyi(N, 3/N)\nadj = ig2sparse(G)\nadj = adj.tocsr()\nptr, indices = adj.indptr, adj.indices\n\n\ncouplings = np.linspace(0, 4, num_couplings).astype(\"float32\")\nomegas = np.tan(( np.arange(1,N+1)*np.pi)/N - ((N+1.)*np.pi)/(2.0*N)  ).astype(\"float32\")\nphases = np.random.uniform(-np.pi, np.pi, int(num_couplings*N)).astype(\"float32\")\n```\n\n```python\nimport cukuramoto\n\ndt = 0.1\nnum_temps = 100\nsimulation = cukuramoto.Heuns(\n    N, block_size, omegas, phases, couplings, \n    indices, ptr)\n\nsimulation.heuns(num_temps, dt)\norder_parameter_list = simulation.get_order_parameter(num_temps, dt)\n```\n\n```python\norder_parameter_list = order_parameter_list.reshape(num_couplings, num_temps)\n    \nr = np.mean(order_parameter_list, axis=1)\nstdr = np.std(order_parameter_list, axis=1)\n   \nimport matplotlib.pyplot as plt\nplt.ion()\nfig, ax1 = plt.subplots()\nax1.plot(couplings,r,'.-')\nax2 = ax1.twinx()\nax2.plot(couplings,stdr,'r.-')\nplt.show()\n```\n\n![](img.png)",
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