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c6 (Circular Center-based Cell Colony Creation and Clustering) \u003cimg src=\"docs/imgs/logo.png\" width=\"250\" title=\"c6\" alt=\"c6\" align=\"right\" vspace = \"50\"\u003e\n\n[![Build Status](https://github.com/AllenCellModeling/c6/workflows/Build%20Master/badge.svg)](https://github.com/AllenCellModeling/c6/actions)\n[![Documentation](https://github.com/AllenCellModeling/c6/workflows/Documentation/badge.svg)](https://AllenCellModeling.github.io/c6)\n[![Code Coverage](https://codecov.io/gh/AllenCellModeling/c6/branch/master/graph/badge.svg)](https://codecov.io/gh/AllenCellModeling/c6)\n\nC6 is a toy center-based model of the initial clustering that occurs as a cells aggregate after replating. \n\n\n---\n\n## Features\n- [x] Represents cells as non-overlapping circles\n- [x] Cells exclude each other\n- [x] Cells sense each other with tunable strength and distances\n- [x] Cells grow at tunable rates\n- [x] Cells divide at tunable sizes\n- [x] Cells' growth is contact inhibited\n- [x] Runs are launched from stored initial conditions\n- [x] Runs are selectable as deterministic or stochastic \n- [x] Runs are logged to tidy data file\n- [x] Run state is visualized\n- [x] You can save run states out to pretty MP4s\n- [ ] Summary statistics are available for probing run logs\n- [ ] Easy run profiling\n\n## Quick Start\n```python\nimport c6\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n\nspace = c6.Space()\ncell_locs = 20*np.random.random((10,2))\ncells = [c6.Cell(space, loc) for loc in cell_locs]\n\nfig, ax = plt.subplots(1,1, figsize=(10,10))\nax.set(xlim=(-10, 20), ylim=(-10, 20))\nanimation = c6.plot.animate(fig, ax, space, 500)\nanimation.save('example.mp4', fps=20)\n```\n\n## Installation\n\nClone and install or `pip install git+https://github.com/AllenCellModeling/c6.git`\n\n## Creating initial conditions and logging runs\n\nBoth initial conditions and run logs are stored as JSON in this form:\n\n```json\n{\n    \"seed\": 123,\n    \"universal\": 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