dbt-selly/dbt-env/lib/python3.8/site-packages/networkx/conftest.py

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2022-03-22 15:13:27 +00:00
"""
Testing
=======
General guidelines for writing good tests:
- doctests always assume ``import networkx as nx`` so don't add that
- prefer pytest fixtures over classes with setup methods.
- use the ``@pytest.mark.parametrize`` decorator
- use ``pytest.importorskip`` for numpy, scipy, pandas, and matplotlib b/c of PyPy.
and add the module to the relevant entries below.
"""
import pytest
import networkx
import sys
import warnings
def pytest_addoption(parser):
parser.addoption(
"--runslow", action="store_true", default=False, help="run slow tests"
)
def pytest_configure(config):
config.addinivalue_line("markers", "slow: mark test as slow to run")
def pytest_collection_modifyitems(config, items):
if config.getoption("--runslow"):
# --runslow given in cli: do not skip slow tests
return
skip_slow = pytest.mark.skip(reason="need --runslow option to run")
for item in items:
if "slow" in item.keywords:
item.add_marker(skip_slow)
# TODO: The warnings below need to be dealt with, but for now we silence them.
@pytest.fixture(autouse=True)
def set_warnings():
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="k_nearest_neighbors"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="numeric_mixing_matrix"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message=r"Ordered.* is deprecated"
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="literal_stringizer is deprecated",
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="literal_destringizer is deprecated",
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="is_string_like is deprecated"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="\nauthority_matrix"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="\nhub_matrix"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="default_opener is deprecated"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="empty_generator is deprecated"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="make_str is deprecated"
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="generate_unique_node is deprecated",
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="context manager reversed is deprecated",
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="This will return a generator in 3.0*",
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="betweenness_centrality_source"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="edge_betweeness"
)
warnings.filterwarnings(
"ignore", category=PendingDeprecationWarning, message="the matrix subclass"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="to_numpy_matrix"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="from_numpy_matrix"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="networkx.pagerank_numpy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="networkx.pagerank_scipy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="write_gpickle"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="read_gpickle"
)
warnings.filterwarnings("ignore", category=DeprecationWarning, message="write_shp")
warnings.filterwarnings("ignore", category=DeprecationWarning, message="read_shp")
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="edges_from_line"
)
warnings.filterwarnings("ignore", category=DeprecationWarning, message="write_yaml")
warnings.filterwarnings("ignore", category=DeprecationWarning, message="read_yaml")
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="FilterAtlas.copy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="FilterAdjacency.copy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="FilterMultiAdjacency.copy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="FilterMultiInner.copy"
)
warnings.filterwarnings("ignore", category=DeprecationWarning, message="jit_data")
warnings.filterwarnings("ignore", category=DeprecationWarning, message="jit_graph")
warnings.filterwarnings("ignore", category=DeprecationWarning, message="consume")
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="iterable is deprecated"
)
warnings.filterwarnings(
"ignore",
category=FutureWarning,
message="\nThe function signature for cytoscape",
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="\nThe `attrs` keyword"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="preserve_random_state"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="`almost_equal`"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="`assert_nodes_equal`"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="`assert_edges_equal`"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="`assert_graphs_equal`"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="networkx.hits_scipy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="networkx.hits_numpy"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="preserve_random_state"
)
warnings.filterwarnings(
"ignore",
category=FutureWarning,
message="google_matrix will return an np.ndarray instead of a np.matrix",
)
### Future warnings from scipy.sparse array transition
warnings.filterwarnings(
"ignore", category=FutureWarning, message="biadjacency_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="bethe_hessian_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="incidence_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="laplacian_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="normalized_laplacian_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="directed_laplacian_matrix"
)
warnings.filterwarnings(
"ignore",
category=FutureWarning,
message="directed_combinatorial_laplacian_matrix",
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="modularity_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="directed_modularity_matrix"
)
warnings.filterwarnings(
"ignore", category=FutureWarning, message="adjacency_matrix"
)
warnings.filterwarnings(
"ignore",
category=DeprecationWarning,
message="\n\nThe scipy.sparse array containers",
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="networkx.project"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="\nfind_cores"
)
warnings.filterwarnings("ignore", category=FutureWarning, message="attr_matrix")
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message=r"\n\nmake_small_.*"
)
warnings.filterwarnings(
"ignore", category=DeprecationWarning, message="to_numpy_recarray"
)
warnings.filterwarnings("ignore", category=DeprecationWarning, message="info")
@pytest.fixture(autouse=True)
def add_nx(doctest_namespace):
doctest_namespace["nx"] = networkx
# What dependencies are installed?
try:
import numpy
has_numpy = True
except ImportError:
has_numpy = False
try:
import scipy
has_scipy = True
except ImportError:
has_scipy = False
try:
import matplotlib
has_matplotlib = True
except ImportError:
has_matplotlib = False
try:
import pandas
has_pandas = True
except ImportError:
has_pandas = False
try:
import pygraphviz
has_pygraphviz = True
except ImportError:
has_pygraphviz = False
try:
import yaml
has_yaml = True
except ImportError:
has_yaml = False
try:
import pydot
has_pydot = True
except ImportError:
has_pydot = False
try:
import ogr
has_ogr = True
except ImportError:
has_ogr = False
# List of files that pytest should ignore
collect_ignore = []
needs_numpy = [
"algorithms/approximation/traveling_salesman.py",
"algorithms/centrality/current_flow_closeness.py",
"algorithms/node_classification/__init__.py",
"algorithms/non_randomness.py",
"algorithms/shortest_paths/dense.py",
"linalg/bethehessianmatrix.py",
"linalg/laplacianmatrix.py",
"utils/misc.py",
]
needs_scipy = [
"algorithms/approximation/traveling_salesman.py",
"algorithms/assortativity/correlation.py",
"algorithms/assortativity/mixing.py",
"algorithms/assortativity/pairs.py",
"algorithms/bipartite/matrix.py",
"algorithms/bipartite/spectral.py",
"algorithms/centrality/current_flow_betweenness.py",
"algorithms/centrality/current_flow_betweenness_subset.py",
"algorithms/centrality/eigenvector.py",
"algorithms/centrality/katz.py",
"algorithms/centrality/second_order.py",
"algorithms/centrality/subgraph_alg.py",
"algorithms/communicability_alg.py",
"algorithms/link_analysis/hits_alg.py",
"algorithms/link_analysis/pagerank_alg.py",
"algorithms/node_classification/__init__.py",
"algorithms/node_classification/hmn.py",
"algorithms/node_classification/lgc.py",
"algorithms/similarity.py",
"convert_matrix.py",
"drawing/layout.py",
"generators/spectral_graph_forge.py",
"linalg/algebraicconnectivity.py",
"linalg/attrmatrix.py",
"linalg/bethehessianmatrix.py",
"linalg/graphmatrix.py",
"linalg/modularitymatrix.py",
"linalg/spectrum.py",
"utils/rcm.py",
]
needs_matplotlib = ["drawing/nx_pylab.py"]
needs_pandas = ["convert_matrix.py"]
needs_yaml = ["readwrite/nx_yaml.py"]
needs_pygraphviz = ["drawing/nx_agraph.py"]
needs_pydot = ["drawing/nx_pydot.py"]
needs_ogr = ["readwrite/nx_shp.py"]
if not has_numpy:
collect_ignore += needs_numpy
if not has_scipy:
collect_ignore += needs_scipy
if not has_matplotlib:
collect_ignore += needs_matplotlib
if not has_pandas:
collect_ignore += needs_pandas
if not has_yaml:
collect_ignore += needs_yaml
if not has_pygraphviz:
collect_ignore += needs_pygraphviz
if not has_pydot:
collect_ignore += needs_pydot
if not has_ogr:
collect_ignore += needs_ogr
# FIXME: This is to avoid errors on AppVeyor
if sys.platform.startswith("win"):
collect_ignore += ["readwrite/graph6.py", "readwrite/sparse6.py"]