remove venv
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Tykayn
tykayn
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@ -1,257 +0,0 @@
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"""
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Testing
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=======
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General guidelines for writing good tests:
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- doctests always assume ``import networkx as nx`` so don't add that
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- prefer pytest fixtures over classes with setup methods.
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- use the ``@pytest.mark.parametrize`` decorator
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- use ``pytest.importorskip`` for numpy, scipy, pandas, and matplotlib b/c of PyPy.
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and add the module to the relevant entries below.
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"""
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import os
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import warnings
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from importlib.metadata import entry_points
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import pytest
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import networkx as nx
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def pytest_addoption(parser):
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parser.addoption(
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"--runslow", action="store_true", default=False, help="run slow tests"
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)
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parser.addoption(
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"--backend",
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action="store",
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default=None,
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help="Run tests with a backend by auto-converting nx graphs to backend graphs",
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)
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parser.addoption(
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"--fallback-to-nx",
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action="store_true",
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default=False,
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help="Run nx function if a backend doesn't implement a dispatchable function"
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" (use with --backend)",
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)
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def pytest_configure(config):
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config.addinivalue_line("markers", "slow: mark test as slow to run")
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backend = config.getoption("--backend")
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if backend is None:
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backend = os.environ.get("NETWORKX_TEST_BACKEND")
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# nx_loopback backend is only available when testing with a backend
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loopback_ep = entry_points(name="nx_loopback", group="networkx.backends")
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if not loopback_ep:
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warnings.warn(
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"\n\n WARNING: Mixed NetworkX configuration! \n\n"
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" This environment has mixed configuration for networkx.\n"
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" The test object nx_loopback is not configured correctly.\n"
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" You should not be seeing this message.\n"
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" Try `pip install -e .`, or change your PYTHONPATH\n"
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" Make sure python finds the networkx repo you are testing\n\n"
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)
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config.backend = backend
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if backend:
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# We will update `networkx.config.backend_priority` below in `*_modify_items`
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# to allow tests to get set up with normal networkx graphs.
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nx.utils.backends.backends["nx_loopback"] = loopback_ep["nx_loopback"]
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nx.utils.backends.backend_info["nx_loopback"] = {}
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nx.config.backends = nx.utils.Config(
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nx_loopback=nx.utils.Config(),
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**nx.config.backends,
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)
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fallback_to_nx = config.getoption("--fallback-to-nx")
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if not fallback_to_nx:
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fallback_to_nx = os.environ.get("NETWORKX_FALLBACK_TO_NX")
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nx.config.fallback_to_nx = bool(fallback_to_nx)
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nx.utils.backends._dispatchable.__call__ = (
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nx.utils.backends._dispatchable._call_if_any_backends_installed
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)
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def pytest_collection_modifyitems(config, items):
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# Setting this to True here allows tests to be set up before dispatching
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# any function call to a backend.
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if config.backend:
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# Allow pluggable backends to add markers to tests (such as skip or xfail)
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# when running in auto-conversion test mode
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backend_name = config.backend
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if backend_name != "networkx":
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nx.utils.backends._dispatchable._is_testing = True
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nx.config.backend_priority.algos = [backend_name]
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nx.config.backend_priority.generators = [backend_name]
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backend = nx.utils.backends.backends[backend_name].load()
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if hasattr(backend, "on_start_tests"):
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getattr(backend, "on_start_tests")(items)
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if config.getoption("--runslow"):
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# --runslow given in cli: do not skip slow tests
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return
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skip_slow = pytest.mark.skip(reason="need --runslow option to run")
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for item in items:
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if "slow" in item.keywords:
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item.add_marker(skip_slow)
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# TODO: The warnings below need to be dealt with, but for now we silence them.
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@pytest.fixture(autouse=True)
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def set_warnings():
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warnings.filterwarnings(
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"ignore",
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category=UserWarning,
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message=r"Exited (at iteration \d+|postprocessing) with accuracies.*",
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)
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warnings.filterwarnings(
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"ignore", category=DeprecationWarning, message="\n\nThe `normalized`"
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)
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warnings.filterwarnings(
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"ignore", category=DeprecationWarning, message="\n\n`compute_v_structures"
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)
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warnings.filterwarnings(
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"ignore", category=DeprecationWarning, message="Keyword argument 'link'"
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)
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@pytest.fixture(autouse=True)
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def add_nx(doctest_namespace):
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doctest_namespace["nx"] = nx
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# What dependencies are installed?
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try:
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import numpy as np
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has_numpy = True
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except ImportError:
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has_numpy = False
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try:
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import scipy as sp
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has_scipy = True
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except ImportError:
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has_scipy = False
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try:
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import matplotlib as mpl
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has_matplotlib = True
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except ImportError:
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has_matplotlib = False
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try:
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import pandas as pd
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has_pandas = True
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except ImportError:
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has_pandas = False
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try:
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import pygraphviz
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has_pygraphviz = True
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except ImportError:
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has_pygraphviz = False
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try:
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import pydot
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has_pydot = True
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except ImportError:
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has_pydot = False
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try:
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import sympy
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has_sympy = True
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except ImportError:
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has_sympy = False
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# List of files that pytest should ignore
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collect_ignore = []
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needs_numpy = [
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"algorithms/approximation/traveling_salesman.py",
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"algorithms/centrality/current_flow_closeness.py",
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"algorithms/centrality/laplacian.py",
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"algorithms/node_classification.py",
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"algorithms/non_randomness.py",
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"algorithms/polynomials.py",
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"algorithms/shortest_paths/dense.py",
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"algorithms/structuralholes.py",
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"algorithms/tree/mst.py",
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"drawing/nx_latex.py",
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"generators/expanders.py",
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"linalg/bethehessianmatrix.py",
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"linalg/laplacianmatrix.py",
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"utils/misc.py",
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]
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needs_scipy = [
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"algorithms/approximation/traveling_salesman.py",
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"algorithms/assortativity/correlation.py",
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"algorithms/assortativity/mixing.py",
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"algorithms/assortativity/pairs.py",
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"algorithms/bipartite/matrix.py",
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"algorithms/bipartite/spectral.py",
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"algorithms/bipartite/link_analysis.py",
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"algorithms/centrality/current_flow_betweenness.py",
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"algorithms/centrality/current_flow_betweenness_subset.py",
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"algorithms/centrality/eigenvector.py",
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"algorithms/centrality/katz.py",
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"algorithms/centrality/laplacian.py",
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"algorithms/centrality/second_order.py",
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"algorithms/centrality/subgraph_alg.py",
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"algorithms/communicability_alg.py",
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"algorithms/community/divisive.py",
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"algorithms/distance_measures.py",
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"algorithms/link_analysis/hits_alg.py",
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"algorithms/link_analysis/pagerank_alg.py",
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"algorithms/node_classification.py",
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"algorithms/similarity.py",
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"algorithms/structuralholes.py",
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"algorithms/tree/mst.py",
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"algorithms/walks.py",
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"convert_matrix.py",
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"drawing/layout.py",
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"drawing/nx_pylab.py",
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"generators/spectral_graph_forge.py",
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"generators/geometric.py",
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"generators/expanders.py",
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"linalg/algebraicconnectivity.py",
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"linalg/attrmatrix.py",
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"linalg/bethehessianmatrix.py",
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"linalg/graphmatrix.py",
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"linalg/laplacianmatrix.py",
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"linalg/modularitymatrix.py",
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"linalg/spectrum.py",
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"utils/rcm.py",
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]
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needs_matplotlib = ["drawing/nx_pylab.py", "generators/classic.py"]
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needs_pandas = ["convert_matrix.py"]
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needs_pygraphviz = ["drawing/nx_agraph.py"]
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needs_pydot = ["drawing/nx_pydot.py"]
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needs_sympy = ["algorithms/polynomials.py"]
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if not has_numpy:
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collect_ignore += needs_numpy
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if not has_scipy:
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collect_ignore += needs_scipy
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if not has_matplotlib:
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collect_ignore += needs_matplotlib
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if not has_pandas:
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collect_ignore += needs_pandas
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if not has_pygraphviz:
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collect_ignore += needs_pygraphviz
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if not has_pydot:
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collect_ignore += needs_pydot
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if not has_sympy:
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collect_ignore += needs_sympy
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