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        "author": "P C Kroon",
        "author_email": "p.c.kroon@rug.nl",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: Hypothesis",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Testing"
        ],
        "description": "# Hypothesis-networkx\n\nThis module provides a Hypothesis strategy for generating networkx graphs.\nThis can be used to efficiently and thoroughly test your code.\n\n## Installation\n\nThis module can be installed via `pip`:\n```\npip install hypothesis-networkx\n```\n\n## User guide\n\nThe module exposes a single function: `graph_builder`. This function is a\nhypothesis composite strategy for building graphs. You can use it as follows:\n\n```python3\nfrom hypothesis_networkx import graph_builder\nfrom hypothesis import strategies as st\nimport networkx as nx\n\nnode_data = st.fixed_dictionaries({'name': st.text(),\n                                   'number': st.integers()})\nedge_data = st.fixed_dictionaries({'weight': st.floats(allow_nan=False,\n                                                       allow_infinity=False)})\n\n\nbuilder = graph_builder(graph_type=nx.Graph,\n                        node_keys=st.integers(),\n                        node_data=node_data,\n                        edge_data=edge_data,\n                        min_nodes=2, max_nodes=10,\n                        min_edges=1, max_edges=None,\n                        self_loops=False,\n                        connected=True)\n\ngraph = builder.example()\nprint(graph.nodes(data=True))\nprint(graph.edges(data=True))\n```\n\nOf course this builder is a valid hypothesis strategy, and using it to just\nmake examples is not super useful. Instead, you can (and should) use it in\nyour testing framework:\n\n```python3\nfrom hypothesis import given\n\n@given(graph=builder)\ndef test_my_function(graph):\n    assert my_function(graph) == known_function(graph)\n\n```\n\nThe meaning of the arguments given to `graph_builder` are pretty\nself-explanatory, but they *must* be given as keyword arguments. \n  - `node_data`: The strategy from which node attributes will be drawn.\n  - `edge_data`: The strategy from which edge attributes will be drawn.\n  - `node_keys`: Either the strategy from which node keys will be draw, or\n                 None. If None, node keys will be integers from the range (0, number of nodes).\n  - `min_nodes` and `max_nodes`: The minimum and maximum number of nodes the \n                                 produced graphs will contain.\n  - `min_edges` and `max_edges`: The minimum and maximum number of edges the\n                                 produced graphs will contain. Note that less \n                                 edges than `min_edges` may be added if there \n                                 are not enough nodes, and more than\n                                 `max_edges` if `connected` is True.\n  - `graph_type`: This function (or class) will be called without arguments to\n                  create an empty initial graph.\n  - `connected`: If True, the generated graph is guaranteed to be a single\n                 connected component.\n  - `self_loops`: If False, there will be no self-loops in the generated graph.\n                  Self-loops are edges between a node and itself.\n\n## Known limitations\n\nThere are a few (minor) outstanding issues with this module:\n\n  - Graph generation may be slow for large graphs.\n  - The `min_edges` argument is not always respected when the produced graph\n    is too small.\n  - The `max_edges` argument is not always respected if `connected` is True.\n  - It currently works for Python 2.7, but this is considered deprecated and\n    may stop working without notice.\n\n## See also\n\n[Networkx](https://networkx.github.io/documentation/stable/index.html)\n[Hypothesis](https://hypothesis.readthedocs.io/en/latest/index.html)",
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