Source: spaghetti Version: 1.7.4-2 Severity: serious Justification: FTBFS Tags: trixie sid ftbfs User: [email protected] Usertags: ftbfs-20231027 ftbfs-trixie
Hi, During a rebuild of all packages in sid, your package failed to build on amd64. Relevant part (hopefully): > make[1]: Entering directory '/<<PKGBUILDDIR>>' > dh_auto_build > I: pybuild plugin_pyproject:110: Building wheel for python3.11 with "build" > module > I: pybuild base:310: python3.11 -m build --skip-dependency-check > --no-isolation --wheel --outdir > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_spaghetti > * Building wheel... > running bdist_wheel > running build > running build_py > creating build > creating build/lib > creating build/lib/spaghetti > copying spaghetti/__init__.py -> build/lib/spaghetti > copying spaghetti/analysis.py -> build/lib/spaghetti > copying spaghetti/util.py -> build/lib/spaghetti > copying spaghetti/network.py -> build/lib/spaghetti > creating build/lib/spaghetti/tests > copying spaghetti/tests/test_network.py -> build/lib/spaghetti/tests > copying spaghetti/tests/__init__.py -> build/lib/spaghetti/tests > running egg_info > creating spaghetti.egg-info > writing spaghetti.egg-info/PKG-INFO > writing dependency_links to spaghetti.egg-info/dependency_links.txt > writing requirements to spaghetti.egg-info/requires.txt > writing top-level names to spaghetti.egg-info/top_level.txt > writing manifest file 'spaghetti.egg-info/SOURCES.txt' > reading manifest file 'spaghetti.egg-info/SOURCES.txt' > adding license file 'LICENSE.txt' > writing manifest file 'spaghetti.egg-info/SOURCES.txt' > installing to build/bdist.linux-x86_64/wheel > running install > running install_lib > creating build/bdist.linux-x86_64 > creating build/bdist.linux-x86_64/wheel > creating build/bdist.linux-x86_64/wheel/spaghetti > copying build/lib/spaghetti/__init__.py -> > build/bdist.linux-x86_64/wheel/spaghetti > creating build/bdist.linux-x86_64/wheel/spaghetti/tests > copying build/lib/spaghetti/tests/test_network.py -> > build/bdist.linux-x86_64/wheel/spaghetti/tests > copying build/lib/spaghetti/tests/__init__.py -> > build/bdist.linux-x86_64/wheel/spaghetti/tests > copying build/lib/spaghetti/analysis.py -> > build/bdist.linux-x86_64/wheel/spaghetti > copying build/lib/spaghetti/util.py -> > build/bdist.linux-x86_64/wheel/spaghetti > copying build/lib/spaghetti/network.py -> > build/bdist.linux-x86_64/wheel/spaghetti > running install_egg_info > Copying spaghetti.egg-info to > build/bdist.linux-x86_64/wheel/spaghetti-0.0.0.egg-info > running install_scripts > creating build/bdist.linux-x86_64/wheel/spaghetti-0.0.0.dist-info/WHEEL > creating > '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_spaghetti/.tmp-tc66ejt4/spaghetti-0.0.0-py3-none-any.whl' > and adding 'build/bdist.linux-x86_64/wheel' to it > adding 'spaghetti/__init__.py' > adding 'spaghetti/analysis.py' > adding 'spaghetti/network.py' > adding 'spaghetti/util.py' > adding 'spaghetti/tests/__init__.py' > adding 'spaghetti/tests/test_network.py' > adding 'spaghetti-0.0.0.dist-info/LICENSE.txt' > adding 'spaghetti-0.0.0.dist-info/METADATA' > adding 'spaghetti-0.0.0.dist-info/WHEEL' > adding 'spaghetti-0.0.0.dist-info/top_level.txt' > adding 'spaghetti-0.0.0.dist-info/RECORD' > removing build/bdist.linux-x86_64/wheel > Successfully built spaghetti-0.0.0-py3-none-any.whl > I: pybuild plugin_pyproject:122: Unpacking wheel built for python3.11 with > "installer" module > PYTHONPATH=. https_proxy='https://127.0.0.1:9/' no_proxy=localhost python3 -m > sphinx -N -bhtml docs/ debian/html > Running Sphinx v5.3.0 > /<<PKGBUILDDIR>>/spaghetti/network.py:40: FutureWarning: The next major > release of pysal/spaghetti (2.0.0) will drop support for all ``libpysal.cg`` > geometries. This change is a first step in refactoring ``spaghetti`` that is > expected to result in dramatically reduced runtimes for network instantiation > and operations. Users currently requiring network and point pattern input as > ``libpysal.cg`` geometries should prepare for this simply by converting to > ``shapely`` geometries. > warnings.warn(dep_msg, FutureWarning, stacklevel=1) > making output directory... done > checking bibtex cache... out of date > parsing bibtex file /<<PKGBUILDDIR>>/docs/_static/references.bib... parsed 55 > entries > [autosummary] generating autosummary for: api.rst, index.rst, > installation.rst, references.rst, tutorials.rst > [autosummary] generating autosummary for: > /<<PKGBUILDDIR>>/docs/generated/spaghetti.Network.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.PointPattern.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.element_as_gdf.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.extract_component.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.network.Network.loadnetwork.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.network.Network.savenetwork.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.regular_lattice.rst, > /<<PKGBUILDDIR>>/docs/generated/spaghetti.spanning_tree.rst > loading intersphinx inventory from https://pysal.org/esda/objects.inv... > loading intersphinx inventory from > https://geopandas.org/en/latest/objects.inv... > loading intersphinx inventory from https://pysal.org/libpysal/objects.inv... > loading intersphinx inventory from > https://matplotlib.org/stable/objects.inv... > loading intersphinx inventory from > https://networkx.org/documentation/stable/objects.inv... > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://pysal.org/esda/objects.inv' not fetchable due > to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='pysal.org', port=443): Max retries exceeded with > url: /esda/objects.inv (Caused by ProxyError('Cannot connect to proxy.', > NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f31836e3c90>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://networkx.org/documentation/stable/objects.inv' > not fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='networkx.org', port=443): Max retries exceeded with > url: /documentation/stable/objects.inv (Caused by ProxyError('Cannot connect > to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f3183533ad0>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > loading intersphinx inventory from https://numpy.org/doc/stable/objects.inv... > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://geopandas.org/en/latest/objects.inv' not > fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='geopandas.org', port=443): Max retries exceeded > with url: /en/latest/objects.inv (Caused by ProxyError('Cannot connect to > proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f31836e0710>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > loading intersphinx inventory from > https://pandas.pydata.org/pandas-docs/stable/objects.inv... > loading intersphinx inventory from https://pysal.org/pointpats/objects.inv... > loading intersphinx inventory from https://docs.python.org/3.11/objects.inv... > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://matplotlib.org/stable/objects.inv' not > fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='matplotlib.org', port=443): Max retries exceeded > with url: /stable/objects.inv (Caused by ProxyError('Cannot connect to > proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f3183529dd0>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > loading intersphinx inventory from > https://docs.scipy.org/doc/scipy/objects.inv... > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory > 'https://pandas.pydata.org/pandas-docs/stable/objects.inv' not fetchable due > to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='pandas.pydata.org', port=443): Max retries exceeded > with url: /pandas-docs/stable/objects.inv (Caused by ProxyError('Cannot > connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection > object at 0x7f31838c01d0>: Failed to establish a new connection: [Errno 111] > Connection refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://pysal.org/libpysal/objects.inv' not fetchable > due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='pysal.org', port=443): Max retries exceeded with > url: /libpysal/objects.inv (Caused by ProxyError('Cannot connect to proxy.', > NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f31838e3810>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://docs.python.org/3.11/objects.inv' not > fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='docs.python.org', port=443): Max retries exceeded > with url: /3.11/objects.inv (Caused by ProxyError('Cannot connect to proxy.', > NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f3183870750>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://numpy.org/doc/stable/objects.inv' not > fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='numpy.org', port=443): Max retries exceeded with > url: /doc/stable/objects.inv (Caused by ProxyError('Cannot connect to > proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f31834ea090>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://docs.scipy.org/doc/scipy/objects.inv' not > fetchable due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded > with url: /doc/scipy/objects.inv (Caused by ProxyError('Cannot connect to > proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f3183870d90>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > WARNING: failed to reach any of the inventories with the following issues: > intersphinx inventory 'https://pysal.org/pointpats/objects.inv' not fetchable > due to <class 'requests.exceptions.ProxyError'>: > HTTPSConnectionPool(host='pysal.org', port=443): Max retries exceeded with > url: /pointpats/objects.inv (Caused by ProxyError('Cannot connect to proxy.', > NewConnectionError('<urllib3.connection.HTTPSConnection object at > 0x7f31834e9c50>: Failed to establish a new connection: [Errno 111] Connection > refused'))) > building [mo]: targets for 0 po files that are out of date > building [html]: targets for 5 source files that are out of date > updating environment: [new config] 13 added, 0 changed, 0 removed > reading sources... [ 7%] api > reading sources... [ 15%] generated/spaghetti.Network > reading sources... [ 23%] generated/spaghetti.PointPattern > reading sources... [ 30%] generated/spaghetti.element_as_gdf > reading sources... [ 38%] generated/spaghetti.extract_component > reading sources... [ 46%] generated/spaghetti.network.Network.loadnetwork > reading sources... [ 53%] generated/spaghetti.network.Network.savenetwork > reading sources... [ 61%] generated/spaghetti.regular_lattice > reading sources... [ 69%] generated/spaghetti.spanning_tree > reading sources... [ 76%] index > reading sources... [ 84%] installation > reading sources... [ 92%] references > reading sources... [100%] tutorials > > /<<PKGBUILDDIR>>/docs/tutorials.rst:7: WARNING: toctree contains reference to > nonexisting document 'notebooks/quickstart' > /<<PKGBUILDDIR>>/docs/tutorials.rst:7: WARNING: toctree contains reference to > nonexisting document 'notebooks/pointpattern-attributes' > /<<PKGBUILDDIR>>/docs/tutorials.rst:7: WARNING: toctree contains reference to > nonexisting document 'notebooks/connected-components' > /<<PKGBUILDDIR>>/docs/tutorials.rst:7: WARNING: toctree contains reference to > nonexisting document 'notebooks/shortest-path-visualization' > /<<PKGBUILDDIR>>/docs/tutorials.rst:16: WARNING: toctree contains reference > to nonexisting document 'notebooks/network-segmentation' > /<<PKGBUILDDIR>>/docs/tutorials.rst:16: WARNING: toctree contains reference > to nonexisting document 'notebooks/network-spatial-dependence' > /<<PKGBUILDDIR>>/docs/tutorials.rst:16: WARNING: toctree contains reference > to nonexisting document 'notebooks/network-spatial-weights' > /<<PKGBUILDDIR>>/docs/tutorials.rst:16: WARNING: toctree contains reference > to nonexisting document 'notebooks/spanning-trees' > /<<PKGBUILDDIR>>/docs/tutorials.rst:16: WARNING: toctree contains reference > to nonexisting document 'notebooks/caveats' > /<<PKGBUILDDIR>>/docs/tutorials.rst:26: WARNING: toctree contains reference > to nonexisting document 'notebooks/network-spatial-autocorrelation' > /<<PKGBUILDDIR>>/docs/tutorials.rst:26: WARNING: toctree contains reference > to nonexisting document 'notebooks/facility-location' > /<<PKGBUILDDIR>>/docs/tutorials.rst:26: WARNING: toctree contains reference > to nonexisting document 'notebooks/transportation-problem' > /<<PKGBUILDDIR>>/docs/tutorials.rst:26: WARNING: toctree contains reference > to nonexisting document 'notebooks/tsp' > looking for now-outdated files... none found > pickling environment... done > checking consistency... done > preparing documents... done > writing output... [ 7%] api > writing output... [ 15%] generated/spaghetti.Network > writing output... [ 23%] generated/spaghetti.PointPattern > writing output... [ 30%] generated/spaghetti.element_as_gdf > writing output... [ 38%] generated/spaghetti.extract_component > writing output... [ 46%] generated/spaghetti.network.Network.loadnetwork > writing output... [ 53%] generated/spaghetti.network.Network.savenetwork > writing output... [ 61%] generated/spaghetti.regular_lattice > writing output... [ 69%] generated/spaghetti.spanning_tree > writing output... [ 76%] index > writing output... [ 84%] installation > writing output... [ 92%] references > writing output... [100%] tutorials > > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:9: WARNING: term not in glossary: 'python:iterable' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:19: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:23: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:27: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:32: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:198: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:241: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:18: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:24: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:29: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:4: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:11: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:8: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:11: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:18: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:21: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:17: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:26: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:32: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:24: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.Network:10: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.PointPattern:27: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.PointPattern:66: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.element_as_gdf:10: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.element_as_gdf:13: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.element_as_gdf:21: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.extract_component:9: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.regular_lattice:14: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.spanning_tree:14: WARNING: undefined label: > 'python:bltin-boolean-values' > /<<PKGBUILDDIR>>/spaghetti/network.py:docstring of > spaghetti.network.spanning_tree:19: WARNING: undefined label: > 'python:bltin-boolean-values' > generating indices... genindex done > highlighting module code... [100%] spaghetti.network > > writing additional pages... search done > copying images... [ 50%] _static/images/ardc_logo.png > copying images... [100%] _static/images/nsf_logo.png > > copying static files... done > copying extra files... done > dumping search index in English (code: en)... done > dumping object inventory... done > build succeeded, 53 warnings. > > The HTML pages are in debian/html. > make[1]: Leaving directory '/<<PKGBUILDDIR>>' > dh_auto_test -O--buildsystem=pybuild > I: pybuild base:310: cd > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_spaghetti/build; python3.11 -m pytest > /<<PKGBUILDDIR>>/spaghetti/tests/ > ============================= test session starts > ============================== > platform linux -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 > rootdir: /<<PKGBUILDDIR>> > plugins: cov-4.1.0, xdist-3.3.1, timeout-2.2.0 > collected 54 items > > ../../../spaghetti/tests/test_network.py EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE [ > 57%] > EEEEEEEEEEEEEE.FFFF.... > [100%] > > ==================================== ERRORS > ==================================== > _____________ ERROR at setup of TestNetwork.test_network_data_read > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1f2e23d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _______ ERROR at setup of TestNetwork.test_network_from_libpysal_chains > ________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd197d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____ ERROR at setup of TestNetwork.test_network_from_single_libpysal_chain > _____ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd192d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ___ ERROR at setup of TestNetwork.test_network_from_vertical_libpysal_chains > ___ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd1a390> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _____________ ERROR at setup of TestNetwork.test_network_failures > ______________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd1aa50> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > __________ ERROR at setup of TestNetwork.test_network_from_geopandas > ___________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd1b5d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _________________ ERROR at setup of TestNetwork.test_round_sig > _________________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd1b810> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ________________ ERROR at setup of TestNetwork.test_vertex_atol > ________________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd1bf90> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____________ ERROR at setup of TestNetwork.test_contiguity_weights > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd000d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ________________ ERROR at setup of TestNetwork.test_components > _________________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd00950> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ___________ ERROR at setup of TestNetwork.test_connected_components > ____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd016d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ___________ ERROR at setup of TestNetwork.test_distance_band_weights > ___________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd03850> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____________ ERROR at setup of TestNetwork.test_split_arcs_dist_200 > ____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd01a10> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ___________ ERROR at setup of TestNetwork.test_split_arcs_dist_1000 > ____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd02290> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > __ ERROR at setup of TestNetwork.test_split_arcs_dist_ntw_from_lattice_ring_2 > __ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd031d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > __ ERROR at setup of TestNetwork.test_split_arcs_dist_ntw_from_lattice_ring_3 > __ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd03e10> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > __ ERROR at setup of TestNetwork.test_split_arcs_dist_ntw_from_lattice_ring_5 > __ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd19550> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____________ ERROR at setup of TestNetwork.test_split_arcs_count_2 > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd03f90> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____________ ERROR at setup of TestNetwork.test_split_arcs_count_1 > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd02dd0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ___________ ERROR at setup of TestNetwork.test_split_arcs_count_half > ___________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd01e50> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ________ ERROR at setup of TestNetwork.test_split_arcs_count_1_and_half > ________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dd03d50> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____________ ERROR at setup of TestNetwork.test_split_arcs_misspell > ____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcfb350> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _____________ ERROR at setup of TestNetwork.test_enum_links_vertex > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcfa7d0> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ______________ ERROR at setup of TestNetwork.test_shortest_paths > _______________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcfb510> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _____________ ERROR at setup of TestNetwork.test_extract_component > _____________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcfbf90> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > _______________ ERROR at setup of TestNetwork.test_spanning_tree > _______________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcf9550> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ______________ ERROR at setup of TestNetwork.test_element_as_gdf > _______________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcf8450> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ______________ ERROR at setup of TestNetwork.test_regular_lattice > ______________ > > self = <spaghetti.tests.test_network.TestNetwork object at 0x7efc1dcf8c50> > > def setup_method(self): > # empirical network instantiated from shapefile > self.ntw_shp = spaghetti.Network(in_data=STREETS, weightings=True) > self.n_known_shp_arcs, self.n_known_shp_vertices = 303, 230 > > # native pysal geometries > self.chains_from_shp = [ > cg.Chain([cg.Point(self.ntw_shp.vertex_coords[vertex]) for vertex > in arc]) > > for arc in self.ntw_shp.arcs > ] > E AttributeError: 'Network' object has no attribute 'arcs' > > ../../../spaghetti/tests/test_network.py:101: AttributeError > ____ ERROR at setup of TestNetworkPointPattern.test_pp_from_libpysal_points > ____ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcf98d0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1de6a710>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _ ERROR at setup of > TestNetworkPointPattern.test_pp_from_single_libpysal_point _ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcfa2d0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1def4150>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > __________ ERROR at setup of TestNetworkPointPattern.test_pp_failures > __________ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcd8310> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1de5c1d0>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _______ ERROR at setup of TestNetworkPointPattern.test_pp_from_geopandas > _______ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcd8dd0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1df05d90>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _______ ERROR at setup of TestNetworkPointPattern.test_add_point_pattern > _______ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcdbb10> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1df83710>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > ____ ERROR at setup of TestNetworkPointPattern.test_count_per_link_network > _____ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcd9490> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1decb310>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _____ ERROR at setup of TestNetworkPointPattern.test_count_per_edge_graph > ______ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcd99d0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1dce6c90>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _ ERROR at setup of > TestNetworkPointPattern.test_simulate_uniform_observations _ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcda290> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1ef826d0>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _ ERROR at setup of > TestNetworkPointPattern.test_simulate_unsupported_distribution_observations _ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcdb310> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1dfb9050>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > ____ ERROR at setup of TestNetworkPointPattern.test_all_neighbor_distances > _____ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcfa150> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1e25a310>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _ ERROR at setup of > TestNetworkPointPattern.test_all_neighbor_distances_multiproccessing _ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcf8fd0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1dddb090>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > __ ERROR at setup of TestNetworkPointPattern.test_nearest_neighbor_distances > ___ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dd01fd0> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1e21ebd0>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > ________ ERROR at setup of TestNetworkPointPattern.test_element_as_gdf > _________ > > self = <spaghetti.tests.test_network.TestNetworkPointPattern object at > 0x7efc1dcdaf50> > > def setup_method(self): > self.ntw = spaghetti.Network(in_data=STREETS) > self.obs = [schools, crimes] > self.OBS = [SCHOOLS, CRIMES] > self.idxs = ["pp1", "pp2"] > iterator = zip(self.obs, self.OBS, self.idxs) > for obs, OBS, idx in iterator: > > self.ntw.snapobservations(OBS, obs, attribute=True) > > ../../../spaghetti/tests/test_network.py:570: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1dd00510>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _______ ERROR at setup of TestNetworkAnalysis.test_global_auto_k_uniform > _______ > > self = <spaghetti.tests.test_network.TestNetworkAnalysis object at > 0x7efc1dcd92d0> > > def setup_method(self): > # synthetic test data > bounds, h, v = (0, 0, 3, 3), 2, 2 > lattice = spaghetti.regular_lattice(bounds, h, nv=v, exterior=True) > self.ntw = spaghetti.Network(in_data=lattice) > chains = [ > cg.Chain( > [ > cg.Point(self.ntw.vertex_coords[p1]), > cg.Point(self.ntw.vertex_coords[p2]), > ] > ) > for (p1, p2) in self.ntw.arcs > ] > midpoints = [] > for chain in chains: > (v1x, v1y), (v2x, v2y) = chain.vertices > mid = cg.Point(((v1x + v2x) / 2.0, (v1y + v2y) / 2.0)) > midpoints.append(mid) > self.mids = "mids" > self.ntw.snapobservations(midpoints, self.mids) > self.test_permutations = 99 > self.test_steps = 10 > > # empirical test_data > self.ntw_shp = spaghetti.Network(in_data=STREETS) > > self.ntw_shp.snapobservations(CRIMES, crimes, attribute=True) > > ../../../spaghetti/tests/test_network.py:814: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1e013e50>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > _ ERROR at setup of > TestNetworkAnalysis.test_global_auto_k_unsupported_distribution _ > > self = <spaghetti.tests.test_network.TestNetworkAnalysis object at > 0x7efc1dcd9c10> > > def setup_method(self): > # synthetic test data > bounds, h, v = (0, 0, 3, 3), 2, 2 > lattice = spaghetti.regular_lattice(bounds, h, nv=v, exterior=True) > self.ntw = spaghetti.Network(in_data=lattice) > chains = [ > cg.Chain( > [ > cg.Point(self.ntw.vertex_coords[p1]), > cg.Point(self.ntw.vertex_coords[p2]), > ] > ) > for (p1, p2) in self.ntw.arcs > ] > midpoints = [] > for chain in chains: > (v1x, v1y), (v2x, v2y) = chain.vertices > mid = cg.Point(((v1x + v2x) / 2.0, (v1y + v2y) / 2.0)) > midpoints.append(mid) > self.mids = "mids" > self.ntw.snapobservations(midpoints, self.mids) > self.test_permutations = 99 > self.test_steps = 10 > > # empirical test_data > self.ntw_shp = spaghetti.Network(in_data=STREETS) > > self.ntw_shp.snapobservations(CRIMES, crimes, attribute=True) > > ../../../spaghetti/tests/test_network.py:814: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1df83550>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > ___________ ERROR at setup of TestNetworkAnalysis.test_moran_network > ___________ > > self = <spaghetti.tests.test_network.TestNetworkAnalysis object at > 0x7efc1dcdb4d0> > > def setup_method(self): > # synthetic test data > bounds, h, v = (0, 0, 3, 3), 2, 2 > lattice = spaghetti.regular_lattice(bounds, h, nv=v, exterior=True) > self.ntw = spaghetti.Network(in_data=lattice) > chains = [ > cg.Chain( > [ > cg.Point(self.ntw.vertex_coords[p1]), > cg.Point(self.ntw.vertex_coords[p2]), > ] > ) > for (p1, p2) in self.ntw.arcs > ] > midpoints = [] > for chain in chains: > (v1x, v1y), (v2x, v2y) = chain.vertices > mid = cg.Point(((v1x + v2x) / 2.0, (v1y + v2y) / 2.0)) > midpoints.append(mid) > self.mids = "mids" > self.ntw.snapobservations(midpoints, self.mids) > self.test_permutations = 99 > self.test_steps = 10 > > # empirical test_data > self.ntw_shp = spaghetti.Network(in_data=STREETS) > > self.ntw_shp.snapobservations(CRIMES, crimes, attribute=True) > > ../../../spaghetti/tests/test_network.py:814: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1dcd9690>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > ____________ ERROR at setup of TestNetworkAnalysis.test_moran_graph > ____________ > > self = <spaghetti.tests.test_network.TestNetworkAnalysis object at > 0x7efc1dcdbd90> > > def setup_method(self): > # synthetic test data > bounds, h, v = (0, 0, 3, 3), 2, 2 > lattice = spaghetti.regular_lattice(bounds, h, nv=v, exterior=True) > self.ntw = spaghetti.Network(in_data=lattice) > chains = [ > cg.Chain( > [ > cg.Point(self.ntw.vertex_coords[p1]), > cg.Point(self.ntw.vertex_coords[p2]), > ] > ) > for (p1, p2) in self.ntw.arcs > ] > midpoints = [] > for chain in chains: > (v1x, v1y), (v2x, v2y) = chain.vertices > mid = cg.Point(((v1x + v2x) / 2.0, (v1y + v2y) / 2.0)) > midpoints.append(mid) > self.mids = "mids" > self.ntw.snapobservations(midpoints, self.mids) > self.test_permutations = 99 > self.test_steps = 10 > > # empirical test_data > self.ntw_shp = spaghetti.Network(in_data=STREETS) > > self.ntw_shp.snapobservations(CRIMES, crimes, attribute=True) > > ../../../spaghetti/tests/test_network.py:814: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/network.py:1093: in snapobservations > self.pointpatterns[name] = PointPattern( > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > self = <spaghetti.network.PointPattern object at 0x7efc1e26fa10>, in_data = > None > idvariable = None, attribute = True > > def __init__(self, in_data=None, idvariable=None, attribute=False): > # initialize points dictionary and counter > self.points = {} > self.npoints = 0 > > # determine input point data type > in_dtype = str(type(in_data)).split("'")[1] > # flag for points from a shapefile > from_shp = False > # flag for points as libpysal.cg.Point objects > is_libpysal_points = False > supported_iterables = ["list", "tuple"] > # type error message > msg = "'{}' not supported for point pattern instantiation." > > # set appropriate geometries > if in_dtype == "str": > from_shp = True > elif in_dtype in supported_iterables: > dtype = str(type(in_data[0])).split("'")[1] > if dtype == "libpysal.cg.shapes.Point": > is_libpysal_points = True > else: > raise TypeError(msg.format(dtype)) > elif in_dtype == "libpysal.cg.shapes.Point": > in_data = [in_data] > is_libpysal_points = True > elif in_dtype == "geopandas.geodataframe.GeoDataFrame": > from_shp = False > else: > > raise TypeError(msg.format(str(in_dtype))) > E TypeError: 'NoneType' not supported for point pattern > instantiation. > > ../../../spaghetti/network.py:3386: TypeError > =================================== FAILURES > =================================== > _________________ TestNetworkUtils.test_get_neighbor_distances > _________________ > > self = <spaghetti.tests.test_network.TestNetworkUtils object at > 0x7efc1dce6d10> > > def test_get_neighbor_distances(self): > known_neighs = {1: 102.62353453439829, 2: 660.000001049743} > observed_neighs = spaghetti.util.get_neighbor_distances( > > self.ntw, 0, self.ntw.arc_lengths > ) > E AttributeError: 'Network' object has no attribute 'arc_lengths' > > ../../../spaghetti/tests/test_network.py:885: AttributeError > _____________________ TestNetworkUtils.test_generate_tree > ______________________ > > self = <spaghetti.tests.test_network.TestNetworkUtils object at > 0x7efc1dce70d0> > > def test_generate_tree(self): > known_path = [23, 22, 20, 19, 170, 2, 0] > > distance, pred = spaghetti.util.dijkstra(self.ntw, 0) > > ../../../spaghetti/tests/test_network.py:892: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > ntw = <spaghetti.network.Network object at 0x7efc1dd22a90>, v0 = 0 > initial_dist = inf > > def dijkstra(ntw, v0, initial_dist=numpy.inf): > """Compute the shortest path between a start vertex and > all other vertices in an origin-destination matrix. > > Parameters > ---------- > ntw : spaghetti.Network > A spaghetti network object. > v0 : int > Start vertex ID. > initial_dist : float > Integer break point to stop iteration and return n neighbors. > Default is ``numpy.inf``. > > Returns > ------- > distance : list > List of distances from vertex to all other vertices. > pred : list > List of preceeding vertices for traversal route. > > Notes > ----- > > Based on :cite:`Dijkstra1959a`. > > Examples > -------- > > >>> import spaghetti > >>> from libpysal import examples > >>> ntw = spaghetti.Network(examples.get_path("streets.shp")) > >>> distance, pred = spaghetti.util.dijkstra(ntw, 0) > >>> round(distance[196], 4) > 5505.6682 > >>> pred[196] > 133 > > """ > > # cost per arc to travel, e.g. distance > > cost = ntw.arc_lengths > E AttributeError: 'Network' object has no attribute 'arc_lengths' > > ../../../spaghetti/util.py:200: AttributeError > ________________________ TestNetworkUtils.test_dijkstra > ________________________ > > self = <spaghetti.tests.test_network.TestNetworkUtils object at > 0x7efc1dce7710> > > def test_dijkstra(self): > > distance, pred = spaghetti.util.dijkstra(self.ntw, 0) > > ../../../spaghetti/tests/test_network.py:897: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > ntw = <spaghetti.network.Network object at 0x7efc1de17150>, v0 = 0 > initial_dist = inf > > def dijkstra(ntw, v0, initial_dist=numpy.inf): > """Compute the shortest path between a start vertex and > all other vertices in an origin-destination matrix. > > Parameters > ---------- > ntw : spaghetti.Network > A spaghetti network object. > v0 : int > Start vertex ID. > initial_dist : float > Integer break point to stop iteration and return n neighbors. > Default is ``numpy.inf``. > > Returns > ------- > distance : list > List of distances from vertex to all other vertices. > pred : list > List of preceeding vertices for traversal route. > > Notes > ----- > > Based on :cite:`Dijkstra1959a`. > > Examples > -------- > > >>> import spaghetti > >>> from libpysal import examples > >>> ntw = spaghetti.Network(examples.get_path("streets.shp")) > >>> distance, pred = spaghetti.util.dijkstra(ntw, 0) > >>> round(distance[196], 4) > 5505.6682 > >>> pred[196] > 133 > > """ > > # cost per arc to travel, e.g. distance > > cost = ntw.arc_lengths > E AttributeError: 'Network' object has no attribute 'arc_lengths' > > ../../../spaghetti/util.py:200: AttributeError > ______________________ TestNetworkUtils.test_dijkstra_mp > _______________________ > > self = <spaghetti.tests.test_network.TestNetworkUtils object at > 0x7efc1dce7dd0> > > def test_dijkstra_mp(self): > > distance, pred = spaghetti.util.dijkstra_mp((self.ntw, 0)) > > ../../../spaghetti/tests/test_network.py:902: > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > ../../../spaghetti/util.py:291: in dijkstra_mp > distance, pred = dijkstra(ntw, vertex) > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > _ > > ntw = <spaghetti.network.Network object at 0x7efc1df238d0>, v0 = 0 > initial_dist = inf > > def dijkstra(ntw, v0, initial_dist=numpy.inf): > """Compute the shortest path between a start vertex and > all other vertices in an origin-destination matrix. > > Parameters > ---------- > ntw : spaghetti.Network > A spaghetti network object. > v0 : int > Start vertex ID. > initial_dist : float > Integer break point to stop iteration and return n neighbors. > Default is ``numpy.inf``. > > Returns > ------- > distance : list > List of distances from vertex to all other vertices. > pred : list > List of preceeding vertices for traversal route. > > Notes > ----- > > Based on :cite:`Dijkstra1959a`. > > Examples > -------- > > >>> import spaghetti > >>> from libpysal import examples > >>> ntw = spaghetti.Network(examples.get_path("streets.shp")) > >>> distance, pred = spaghetti.util.dijkstra(ntw, 0) > >>> round(distance[196], 4) > 5505.6682 > >>> pred[196] > 133 > > """ > > # cost per arc to travel, e.g. distance > > cost = ntw.arc_lengths > E AttributeError: 'Network' object has no attribute 'arc_lengths' > > ../../../spaghetti/util.py:200: AttributeError > =============================== warnings summary > =============================== > ../../../spaghetti/network.py:40 > /<<PKGBUILDDIR>>/spaghetti/network.py:40: FutureWarning: The next major > release of pysal/spaghetti (2.0.0) will drop support for all ``libpysal.cg`` > geometries. This change is a first step in refactoring ``spaghetti`` that is > expected to result in dramatically reduced runtimes for network instantiation > and operations. Users currently requiring network and point pattern input as > ``libpysal.cg`` geometries should prepare for this simply by converting to > ``shapely`` geometries. > warnings.warn(dep_msg, FutureWarning, stacklevel=1) > > ../../../../../../usr/lib/python3/dist-packages/libpysal/cg/shapes.py:103 > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_uniform > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_unsupported_distribution > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_network > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_graph > spaghetti/tests/test_network.py::TestNetworkUtils::test_chain_constr > spaghetti/tests/test_network.py::TestNetworkUtils::test_build_chains > spaghetti/tests/test_network.py::TestNetworkUtils::test_snap_points_to_links > /usr/lib/python3/dist-packages/libpysal/cg/shapes.py:103: FutureWarning: > Objects based on the `Geometry` class will deprecated and removed in a future > version of libpysal. > warnings.warn(dep_msg, FutureWarning) > > ../../../../../../usr/lib/python3/dist-packages/libpysal/cg/shapes.py:1006 > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_uniform > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_unsupported_distribution > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_network > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_graph > spaghetti/tests/test_network.py::TestNetworkUtils::test_chain_constr > spaghetti/tests/test_network.py::TestNetworkUtils::test_build_chains > spaghetti/tests/test_network.py::TestNetworkUtils::test_snap_points_to_links > /usr/lib/python3/dist-packages/libpysal/cg/shapes.py:1006: FutureWarning: > Objects based on the `Geometry` class will deprecated and removed in a future > version of libpysal. > warnings.warn(dep_msg, FutureWarning) > > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_uniform > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_unsupported_distribution > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_network > spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_graph > spaghetti/tests/test_network.py::TestNetworkUtils::test_snap_points_to_links > /usr/lib/python3/dist-packages/libpysal/cg/shapes.py:1923: FutureWarning: > Objects based on the `Geometry` class will deprecated and removed in a future > version of libpysal. > warnings.warn(dep_msg, FutureWarning) > > -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html > =========================== short test summary info > ============================ > FAILED > ../../../spaghetti/tests/test_network.py::TestNetworkUtils::test_get_neighbor_distances > FAILED > ../../../spaghetti/tests/test_network.py::TestNetworkUtils::test_generate_tree > FAILED > ../../../spaghetti/tests/test_network.py::TestNetworkUtils::test_dijkstra > FAILED > ../../../spaghetti/tests/test_network.py::TestNetworkUtils::test_dijkstra_mp > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_data_read > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_from_libpysal_chains > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_from_single_libpysal_chain > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_from_vertical_libpysal_chains > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_failures > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_network_from_geopandas > ERROR ../../../spaghetti/tests/test_network.py::TestNetwork::test_round_sig > ERROR ../../../spaghetti/tests/test_network.py::TestNetwork::test_vertex_atol > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_contiguity_weights > ERROR ../../../spaghetti/tests/test_network.py::TestNetwork::test_components > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_connected_components > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_distance_band_weights > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_dist_200 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_dist_1000 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_dist_ntw_from_lattice_ring_2 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_dist_ntw_from_lattice_ring_3 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_dist_ntw_from_lattice_ring_5 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_count_2 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_count_1 > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_count_half > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_count_1_and_half > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_split_arcs_misspell > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_enum_links_vertex > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_shortest_paths > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_extract_component > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_spanning_tree > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_element_as_gdf > ERROR > ../../../spaghetti/tests/test_network.py::TestNetwork::test_regular_lattice > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_pp_from_libpysal_points > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_pp_from_single_libpysal_point > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_pp_failures > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_pp_from_geopandas > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_add_point_pattern > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_count_per_link_network > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_count_per_edge_graph > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_simulate_uniform_observations > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_simulate_unsupported_distribution_observations > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_all_neighbor_distances > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_all_neighbor_distances_multiproccessing > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_nearest_neighbor_distances > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkPointPattern::test_element_as_gdf > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_uniform > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkAnalysis::test_global_auto_k_unsupported_distribution > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_network > ERROR > ../../../spaghetti/tests/test_network.py::TestNetworkAnalysis::test_moran_graph > ============= 4 failed, 5 passed, 22 warnings, 45 errors in 3.76s > ============== > E: pybuild pybuild:395: test: plugin pyproject failed with: exit code=1: cd > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_spaghetti/build; python3.11 -m pytest > {dir}/spaghetti/tests/ > dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.11 > returned exit code 13 The full build log is available from: http://qa-logs.debian.net/2023/10/27/spaghetti_1.7.4-2_unstable.log All bugs filed during this archive rebuild are listed at: https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20231027;[email protected] or: https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20231027&[email protected]&allbugs=1&cseverity=1&ctags=1&caffected=1#results A list of current common problems and possible solutions is available at http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute! If you reassign this bug to another package, please mark it as 'affects'-ing this package. See https://www.debian.org/Bugs/server-control#affects If you fail to reproduce this, please provide a build log and diff it with mine so that we can identify if something relevant changed in the meantime.
