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Created June 24, 2025 23:33
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pynndesecent, python 3.13, test failures
Raw
gistfile1.txt
Sourcing python-remove-tests-dir-hook
Sourcing python-catch-conflicts-hook.sh
Sourcing python-remove-bin-bytecode-hook.sh
Sourcing pypa-build-hook
Using pypaBuildPhase
Sourcing python-runtime-deps-check-hook
Using pythonRuntimeDepsCheckHook
Sourcing pypa-install-hook
Using pypaInstallPhase
Sourcing python-imports-check-hook.sh
Using pythonImportsCheckPhase
Sourcing python-namespaces-hook
Sourcing python-catch-conflicts-hook.sh
Sourcing pytest-check-hook
Using pytestCheckPhase
Running phase: unpackPhase
unpacking source archive /nix/store/7aqh0rnvih7p160fc7q3lry0la99cvv0-source
source root is source
setting SOURCE_DATE_EPOCH to timestamp 315619200 of file "source/setup.py"
Running phase: patchPhase
Running phase: updateAutotoolsGnuConfigScriptsPhase
Running phase: configurePhase
no configure script, doing nothing
Running phase: buildPhase
Executing pypaBuildPhase
Creating a wheel...
pypa build flags: --no-isolation --outdir dist/ --wheel
* Getting build dependencies for wheel...
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'test_suite'
warnings.warn(msg)
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'tests_require'
warnings.warn(msg)
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!
********************************************************************************
Please consider removing the following classifiers in favor of a SPDX license expression:
License :: OSI Approved
See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
********************************************************************************
!!
self._finalize_license_expression()
running egg_info
creating pynndescent.egg-info
writing pynndescent.egg-info/PKG-INFO
writing dependency_links to pynndescent.egg-info/dependency_links.txt
writing requirements to pynndescent.egg-info/requires.txt
writing top-level names to pynndescent.egg-info/top_level.txt
writing manifest file 'pynndescent.egg-info/SOURCES.txt'
reading manifest file 'pynndescent.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'pynndescent/__pycache__'
adding license file 'LICENSE'
writing manifest file 'pynndescent.egg-info/SOURCES.txt'
* Building wheel...
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'test_suite'
warnings.warn(msg)
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'tests_require'
warnings.warn(msg)
/nix/store/1jzascxfclrgksjdj84bf99c2m56jzk2-python3.13-setuptools-80.7.1/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!
********************************************************************************
Please consider removing the following classifiers in favor of a SPDX license expression:
License :: OSI Approved
See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
********************************************************************************
!!
self._finalize_license_expression()
running bdist_wheel
running build
running build_py
creating build/lib/pynndescent
copying pynndescent/sparse.py -> build/lib/pynndescent
copying pynndescent/rp_trees.py -> build/lib/pynndescent
copying pynndescent/distances.py -> build/lib/pynndescent
copying pynndescent/__init__.py -> build/lib/pynndescent
copying pynndescent/pynndescent_.py -> build/lib/pynndescent
copying pynndescent/optimal_transport.py -> build/lib/pynndescent
copying pynndescent/graph_utils.py -> build/lib/pynndescent
copying pynndescent/sparse_nndescent.py -> build/lib/pynndescent
copying pynndescent/threaded_rp_trees.py -> build/lib/pynndescent
copying pynndescent/utils.py -> build/lib/pynndescent
installing to build/bdist.linux-x86_64/wheel
running install
running install_lib
creating build/bdist.linux-x86_64/wheel
creating build/bdist.linux-x86_64/wheel/pynndescent
copying build/lib/pynndescent/rp_trees.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/distances.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/sparse.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/sparse_nndescent.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/graph_utils.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/optimal_transport.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/threaded_rp_trees.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/__init__.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/pynndescent_.py -> build/bdist.linux-x86_64/wheel/./pynndescent
copying build/lib/pynndescent/utils.py -> build/bdist.linux-x86_64/wheel/./pynndescent
running install_egg_info
running egg_info
writing pynndescent.egg-info/PKG-INFO
writing dependency_links to pynndescent.egg-info/dependency_links.txt
writing requirements to pynndescent.egg-info/requires.txt
writing top-level names to pynndescent.egg-info/top_level.txt
reading manifest file 'pynndescent.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'pynndescent/__pycache__'
adding license file 'LICENSE'
writing manifest file 'pynndescent.egg-info/SOURCES.txt'
Copying pynndescent.egg-info to build/bdist.linux-x86_64/wheel/./pynndescent-0.5.13-py3.13.egg-info
running install_scripts
creating build/bdist.linux-x86_64/wheel/pynndescent-0.5.13.dist-info/WHEEL
creating '/build/source/dist/.tmp-kh87ppn1/pynndescent-0.5.13-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
adding 'pynndescent/__init__.py'
adding 'pynndescent/distances.py'
adding 'pynndescent/graph_utils.py'
adding 'pynndescent/optimal_transport.py'
adding 'pynndescent/pynndescent_.py'
adding 'pynndescent/rp_trees.py'
adding 'pynndescent/sparse.py'
adding 'pynndescent/sparse_nndescent.py'
adding 'pynndescent/threaded_rp_trees.py'
adding 'pynndescent/utils.py'
adding 'pynndescent-0.5.13.dist-info/licenses/LICENSE'
adding 'pynndescent-0.5.13.dist-info/METADATA'
adding 'pynndescent-0.5.13.dist-info/WHEEL'
adding 'pynndescent-0.5.13.dist-info/top_level.txt'
adding 'pynndescent-0.5.13.dist-info/RECORD'
removing build/bdist.linux-x86_64/wheel
Successfully built pynndescent-0.5.13-py3-none-any.whl
Finished creating a wheel...
Finished executing pypaBuildPhase
Running phase: pythonRuntimeDepsCheckHook
Executing pythonRuntimeDepsCheck
Checking runtime dependencies for pynndescent-0.5.13-py3-none-any.whl
Finished executing pythonRuntimeDepsCheck
Running phase: installPhase
Executing pypaInstallPhase
Successfully installed pynndescent-0.5.13-py3-none-any.whl
Finished executing pypaInstallPhase
Running phase: pythonOutputDistPhase
Executing pythonOutputDistPhase
Finished executing pythonOutputDistPhase
Running phase: fixupPhase
shrinking RPATHs of ELF executables and libraries in /nix/store/rivihqd1f4911518rj0pqf0x9dfw9h3v-python3.13-pynndescent-0.5.13
checking for references to /build/ in /nix/store/rivihqd1f4911518rj0pqf0x9dfw9h3v-python3.13-pynndescent-0.5.13...
patching script interpreter paths in /nix/store/rivihqd1f4911518rj0pqf0x9dfw9h3v-python3.13-pynndescent-0.5.13
stripping (with command strip and flags -S -p) in /nix/store/rivihqd1f4911518rj0pqf0x9dfw9h3v-python3.13-pynndescent-0.5.13/lib
shrinking RPATHs of ELF executables and libraries in /nix/store/1km6gqvrb1iqk5pvx3h9al8fh9j1h3qp-python3.13-pynndescent-0.5.13-dist
checking for references to /build/ in /nix/store/1km6gqvrb1iqk5pvx3h9al8fh9j1h3qp-python3.13-pynndescent-0.5.13-dist...
patching script interpreter paths in /nix/store/1km6gqvrb1iqk5pvx3h9al8fh9j1h3qp-python3.13-pynndescent-0.5.13-dist
Executing pythonRemoveTestsDir
Finished executing pythonRemoveTestsDir
Running phase: installCheckPhase
no Makefile or custom installCheckPhase, doing nothing
Running phase: pythonCatchConflictsPhase
Running phase: pythonRemoveBinBytecodePhase
Running phase: pythonImportsCheckPhase
Executing pythonImportsCheckPhase
Check whether the following modules can be imported: pynndescent
Running phase: pytestCheckPhase
Executing pytestCheckPhase
pytest flags: -m pytest
============================= test session starts ==============================
platform linux -- Python 3.13.4, pytest-8.3.5, pluggy-1.6.0
rootdir: /build/source
collected 147 items
pynndescent/tests/test_distances.py ..................................s. [ 24%]
........... [ 31%]
pynndescent/tests/test_pynndescent_.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 54%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 74%]
pynndescent/tests/test_rank.py ..................................... [100%]
=================================== FAILURES ===================================
______________________ test_nn_descent_neighbor_accuracy _______________________
nn_data = array([[0.14105441, 0.88850555, 0.62257485, 0.36834125, 0.18491072],
[0.50009596, 0.36925626, 0.96432206, 0.802..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
seed = 189212
def test_nn_descent_neighbor_accuracy(nn_data, seed):
> knn_indices, _ = NNDescent(
nn_data, "euclidean", {}, 10, random_state=np.random.RandomState(seed)
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:19:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_angular_nn_descent_neighbor_accuracy ___________________
nn_data = array([[0.74328432, 0.02055253, 0.4223818 , 0.68373549, 0.81034626],
[0.46659191, 0.14267628, 0.18503059, 0.604..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
seed = 189212
def test_angular_nn_descent_neighbor_accuracy(nn_data, seed):
> knn_indices, _ = NNDescent(
nn_data, "cosine", {}, 10, random_state=np.random.RandomState(seed)
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:37:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_bitpacked_nn_descent_neighbor_accuracy __________________
nn_data = array([[0.9969731 , 0.56170564, 0.84570654, 0.87879746, 0.71283472],
[0.1854705 , 0.49150947, 0.85743385, 0.810..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
seed = 189212
def test_bitpacked_nn_descent_neighbor_accuracy(nn_data, seed):
bitpacked_data = (nn_data * 256).astype(np.uint8)
unpacked_data = np.zeros(
(bitpacked_data.shape[0], bitpacked_data.shape[1] * 8), dtype=np.float32
)
for i in range(unpacked_data.shape[0]):
for j in range(unpacked_data.shape[1]):
unpacked_data[i, j] = (bitpacked_data[i, j // 8] & (1 << (j % 8))) > 0
> knn_indices, _ = NNDescent(
bitpacked_data, "bit_jaccard", {}, 10, random_state=np.random.RandomState(seed)
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:64:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_sparse_nn_descent_neighbor_accuracy ___________________
sparse_nn_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 25000 stored elements and shape (1000, 50)>
seed = 189212
@pytest.mark.skipif(
list(map(int, re.findall(r"[0-9]+\.[0-9]+\.?[0-9]*", scipy.version.version)[0].split("."))) < [1, 3, 0],
reason="requires scipy >= 1.3.0",
)
def test_sparse_nn_descent_neighbor_accuracy(sparse_nn_data, seed):
> knn_indices, _ = NNDescent(
sparse_nn_data, "euclidean", n_neighbors=20, random_state=None
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:86:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:880: in __init__
self._neighbor_graph = sparse_nnd.nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt...t_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/sparse_nndescent.py (30)
E
E File "pynndescent/sparse_nndescent.py", line 30:
E def generate_leaf_updates(leaf_block, dist_thresholds, inds, indptr, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E
E File "pynndescent/sparse_nndescent.py", line 70:
E def init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E
E File "pynndescent/sparse_nndescent.py", line 309:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________ test_sparse_angular_nn_descent_neighbor_accuracy _______________
sparse_nn_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 25000 stored elements and shape (1000, 50)>
@pytest.mark.skipif(
list(map(int, scipy.version.version.split("."))) < [1, 3, 0],
reason="requires scipy >= 1.3.0",
)
def test_sparse_angular_nn_descent_neighbor_accuracy(sparse_nn_data):
> knn_indices, _ = NNDescent(
sparse_nn_data, "cosine", {}, 20, random_state=None
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:880: in __init__
self._neighbor_graph = sparse_nnd.nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt...t_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/sparse_nndescent.py (30)
E
E File "pynndescent/sparse_nndescent.py", line 30:
E def generate_leaf_updates(leaf_block, dist_thresholds, inds, indptr, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E
E File "pynndescent/sparse_nndescent.py", line 70:
E def init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E
E File "pynndescent/sparse_nndescent.py", line 309:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________________ test_nn_descent_query_accuracy ________________________
nn_data = array([[0.04065836, 0.80076041, 0.14486028, 0.89776798, 0.63666438],
[0.07781016, 0.26391195, 0.89927382, 0.315..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
def test_nn_descent_query_accuracy(nn_data):
> nnd = NNDescent(nn_data[200:], "euclidean", n_neighbors=10, random_state=None)
pynndescent/tests/test_pynndescent_.py:127:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
____________________ test_nn_descent_query_accuracy_angular ____________________
nn_data = array([[0.25032999, 0.41382174, 0.54719399, 0.68889993, 0.15708314],
[0.36460727, 0.88103113, 0.68768044, 0.808..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
def test_nn_descent_query_accuracy_angular(nn_data):
> nnd = NNDescent(nn_data[200:], "cosine", n_neighbors=30, random_state=None)
pynndescent/tests/test_pynndescent_.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
____________________ test_sparse_nn_descent_query_accuracy _____________________
sparse_nn_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 25000 stored elements and shape (1000, 50)>
def test_sparse_nn_descent_query_accuracy(sparse_nn_data):
> nnd = NNDescent(
sparse_nn_data[200:], "euclidean", n_neighbors=15, random_state=None
)
pynndescent/tests/test_pynndescent_.py:161:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:880: in __init__
self._neighbor_graph = sparse_nnd.nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt...t_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/sparse_nndescent.py (30)
E
E File "pynndescent/sparse_nndescent.py", line 30:
E def generate_leaf_updates(leaf_block, dist_thresholds, inds, indptr, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E
E File "pynndescent/sparse_nndescent.py", line 70:
E def init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E
E File "pynndescent/sparse_nndescent.py", line 309:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________ test_sparse_nn_descent_query_accuracy_angular _________________
sparse_nn_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 25000 stored elements and shape (1000, 50)>
def test_sparse_nn_descent_query_accuracy_angular(sparse_nn_data):
> nnd = NNDescent(sparse_nn_data[200:], "cosine", n_neighbors=50, random_state=None)
pynndescent/tests/test_pynndescent_.py:180:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:880: in __init__
self._neighbor_graph = sparse_nnd.nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt...t_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/sparse_nndescent.py (30)
E
E File "pynndescent/sparse_nndescent.py", line 30:
E def generate_leaf_updates(leaf_block, dist_thresholds, inds, indptr, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd638eaac0>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (70)
E
E
E File "pynndescent/sparse_nndescent.py", line 70:
E def init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd638e9580>))
E During: typing of call at /build/source/pynndescent/sparse_nndescent.py (309)
E
E
E File "pynndescent/sparse_nndescent.py", line 309:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_bitpacked_nn_descent_query_accuracy ___________________
nn_data = array([[0.26170143, 0.00665105, 0.56532535, 0.2073348 , 0.47678617],
[0.6002073 , 0.65713315, 0.46971425, 0.078..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
def test_bitpacked_nn_descent_query_accuracy(nn_data):
bitpacked_data = (nn_data * 256).astype(np.uint8)
unpacked_data = np.zeros(
(bitpacked_data.shape[0], bitpacked_data.shape[1] * 8), dtype=np.float32
)
for i in range(unpacked_data.shape[0]):
for j in range(unpacked_data.shape[1]):
unpacked_data[i, j] = (bitpacked_data[i, j // 8] & (1 << (j % 8))) > 0
> nnd = NNDescent(
bitpacked_data[200:], "bit_jaccard", n_neighbors=50, random_state=None
)
pynndescent/tests/test_pynndescent_.py:207:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________________ test_transformer_equivalence _________________________
nn_data = array([[0.17799423, 0.43356237, 0.64162502, 0.7577647 , 0.55680721],
[0.30401282, 0.43916809, 0.18188389, 0.518..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
def test_transformer_equivalence(nn_data):
N_NEIGHBORS = 15
EPSILON = 0.15
train = nn_data[:400]
test = nn_data[:200]
# Note we shift N_NEIGHBORS to conform to sklearn's KNeighborTransformer defn
> nnd = NNDescent(
data=train, n_neighbors=N_NEIGHBORS + 1, random_state=42, compressed=False
)
pynndescent/tests/test_pynndescent_.py:234:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
____________________________ test_random_state_none ____________________________
nn_data = array([[0.83028813, 0.12672347, 0.19459421, 0.17358944, 0.49364438],
[0.05320161, 0.79341235, 0.26112313, 0.151..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
spatial_data = array([[-3.0056171 , 0.61763996, 0.29443747, -0.19585614, 0.77869105,
0.8641467 , 0.48352352, -0.25806785.... , 0. ,
0. , 0. , 0. , 0. , 0. ]],
dtype=float32)
def test_random_state_none(nn_data, spatial_data):
> knn_indices, _ = NNDescent(
nn_data, "euclidean", {}, 10, random_state=None
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:255:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
______________________________ test_deterministic ______________________________
def test_deterministic():
seed = np.random.RandomState(42)
x1 = seed.normal(0, 100, (1000, 50))
x2 = seed.normal(0, 100, (1000, 50))
> index1 = NNDescent(x1, random_state=np.random.RandomState(42))
pynndescent/tests/test_pynndescent_.py:278:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________ test_rp_trees_should_not_stack_overflow_with_duplicate_data __________
seed = 189212
cosine_hang_data = array([[-0.34907595, -0.1496765 , -2.58207274, ..., 2.25055422,
-0.79883356, 0.79232488],
[-0.1891104...
[-0.95391804, -2.52210669, -3.74721598, ..., 4.46856483,
-1.63162477, 1.53352323]], shape=(4400, 50))
def test_rp_trees_should_not_stack_overflow_with_duplicate_data(seed, cosine_hang_data):
n_neighbors = 10
> knn_indices, _ = NNDescent(
cosine_hang_data,
"cosine",
{},
n_neighbors,
random_state=np.random.RandomState(seed),
n_trees=20,
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:295:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_deduplicated_data_behaves_normally ____________________
seed = 189212
cosine_hang_data = array([[-0.34907595, -0.1496765 , -2.58207274, ..., 2.25055422,
-0.79883356, 0.79232488],
[-0.1891104...
[-0.95391804, -2.52210669, -3.74721598, ..., 4.46856483,
-1.63162477, 1.53352323]], shape=(4400, 50))
def test_deduplicated_data_behaves_normally(seed, cosine_hang_data):
data = np.unique(cosine_hang_data, axis=0)
data = data[~np.all(data == 0, axis=1)]
data = data[:1000]
n_neighbors = 10
> knn_indices, _ = NNDescent(
data,
"cosine",
{},
n_neighbors,
random_state=np.random.RandomState(seed),
n_trees=20,
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:317:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______ test_rp_trees_should_not_stack_overflow_with_near_duplicate_data _______
seed = 189212
cosine_near_duplicates_data = array([[100.01764 , 100. ],
[100.01883 , 100. ],
[100.021 , 100. ],
[100.02009 ,... ],
[100.01559 , 100. ],
[100.01755 , 100. ],
[100.016914, 100. ]], dtype=float32)
def test_rp_trees_should_not_stack_overflow_with_near_duplicate_data(
seed, cosine_near_duplicates_data
):
n_neighbors = 10
> knn_indices, _ = NNDescent(
cosine_near_duplicates_data,
"cosine",
{},
n_neighbors,
random_state=np.random.RandomState(seed),
n_trees=20,
)._neighbor_graph
pynndescent/tests/test_pynndescent_.py:350:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________________ test_output_when_verbose_is_true _______________________
spatial_data = array([[ 3.45440120e-01, 1.24932146e+00, 4.75778401e-01,
-4.87599336e-02, -7.72169471e-01, -8.22534859e-01,
...,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00]], dtype=float32)
seed = 189212
def test_output_when_verbose_is_true(spatial_data, seed):
out = io.StringIO()
with redirect_stdout(out):
> _ = NNDescent(
data=spatial_data,
metric="euclidean",
metric_kwds={},
n_neighbors=4,
random_state=np.random.RandomState(seed),
n_trees=5,
n_iters=2,
verbose=True,
)
pynndescent/tests/test_pynndescent_.py:368:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_____________________ test_no_output_when_verbose_is_false _____________________
spatial_data = array([[-1.3018036 , -0.03458112, -0.9106182 , -0.21785875, 0.26034927,
-1.1669229 , 0.71742254, 1.0694066 .... , 0. ,
0. , 0. , 0. , 0. , 0. ]],
dtype=float32)
seed = 189212
def test_no_output_when_verbose_is_false(spatial_data, seed):
out = io.StringIO()
with redirect_stdout(out):
> _ = NNDescent(
data=spatial_data,
metric="euclidean",
metric_kwds={},
n_neighbors=4,
random_state=np.random.RandomState(seed),
n_trees=5,
n_iters=2,
verbose=False,
)
pynndescent/tests/test_pynndescent_.py:386:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_transformer_output_when_verbose_is_true _________________
spatial_data = array([[ 0.44695002, 1.56058 , 1.0129353 , -0.66778165, 0.97107184,
-1.0476568 , 1.750758 , -1.0871501 .... , 0. ,
0. , 0. , 0. , 0. , 0. ]],
dtype=float32)
seed = 189212
def test_transformer_output_when_verbose_is_true(spatial_data, seed):
out = io.StringIO()
with redirect_stdout(out):
_ = PyNNDescentTransformer(
n_neighbors=4,
metric="euclidean",
metric_kwds={},
random_state=np.random.RandomState(seed),
n_trees=5,
n_iters=2,
verbose=True,
> ).fit_transform(spatial_data)
pynndescent/tests/test_pynndescent_.py:413:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/nix/store/lcwr3sxp90dx13zfv3nkb1blc83xchhh-python3.13-scikit-learn-1.6.1/lib/python3.13/site-packages/sklearn/utils/_set_output.py:319: in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
pynndescent/pynndescent_.py:2256: in fit_transform
self.fit(X, compress_index=False)
pynndescent/pynndescent_.py:2174: in fit
self.index_ = NNDescent(
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________ test_transformer_output_when_verbose_is_false _________________
spatial_data = array([[ 1.3213372 , 0.79957026, -0.30695146, -1.1013254 , -1.7207671 ,
0.19366603, 0.14521146, 0.31293032.... , 0. ,
0. , 0. , 0. , 0. , 0. ]],
dtype=float32)
seed = 189212
def test_transformer_output_when_verbose_is_false(spatial_data, seed):
out = io.StringIO()
with redirect_stdout(out):
_ = PyNNDescentTransformer(
n_neighbors=4,
metric="standardised_euclidean",
metric_kwds={"sigma": np.ones(spatial_data.shape[1])},
random_state=np.random.RandomState(seed),
n_trees=5,
n_iters=2,
verbose=False,
> ).fit_transform(spatial_data)
pynndescent/tests/test_pynndescent_.py:430:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/nix/store/lcwr3sxp90dx13zfv3nkb1blc83xchhh-python3.13-scikit-learn-1.6.1/lib/python3.13/site-packages/sklearn/utils/_set_output.py:319: in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
pynndescent/pynndescent_.py:2256: in fit_transform
self.fit(X, compress_index=False)
pynndescent/pynndescent_.py:2174: in fit
self.index_ = NNDescent(
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_____________________________ test_pickle_unpickle _____________________________
def test_pickle_unpickle():
seed = np.random.RandomState(42)
x1 = seed.normal(0, 100, (1000, 50))
x2 = seed.normal(0, 100, (1000, 50))
> index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None)
pynndescent/tests/test_pynndescent_.py:441:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________________ test_compressed_pickle_unpickle ________________________
def test_compressed_pickle_unpickle():
seed = np.random.RandomState(42)
x1 = seed.normal(0, 100, (1000, 50))
x2 = seed.normal(0, 100, (1000, 50))
> index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None, compressed=True)
pynndescent/tests/test_pynndescent_.py:461:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________________ test_transformer_pickle_unpickle _______________________
def test_transformer_pickle_unpickle():
seed = np.random.RandomState(42)
x1 = seed.normal(0, 100, (1000, 50))
x2 = seed.normal(0, 100, (1000, 50))
> index1 = PyNNDescentTransformer(n_neighbors=10).fit(x1)
pynndescent/tests/test_pynndescent_.py:481:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:2174: in fit
self.index_ = NNDescent(
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________________________ test_joblib_dump _______________________________
def test_joblib_dump():
seed = np.random.RandomState(42)
x1 = seed.normal(0, 100, (1000, 50))
x2 = seed.normal(0, 100, (1000, 50))
> index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None)
pynndescent/tests/test_pynndescent_.py:501:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________ test_update_no_prepare_query_accuracy[euclidean] _______________
nn_data = array([[0.08717562, 0.74886074, 0.08318417, 0.73080798, 0.95449368],
[0.7859424 , 0.64957612, 0.27099145, 0.690..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'euclidean'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_update_no_prepare_query_accuracy(nn_data, metric):
> nnd = NNDescent(nn_data[200:800], metric=metric, n_neighbors=10, random_state=None)
pynndescent/tests/test_pynndescent_.py:517:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________ test_update_no_prepare_query_accuracy[cosine] _________________
nn_data = array([[0.49515761, 0.45261352, 0.95840464, 0.97839214, 0.94819459],
[0.98493233, 0.49173882, 0.45890711, 0.768..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'cosine'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_update_no_prepare_query_accuracy(nn_data, metric):
> nnd = NNDescent(nn_data[200:800], metric=metric, n_neighbors=10, random_state=None)
pynndescent/tests/test_pynndescent_.py:517:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________ test_update_w_prepare_query_accuracy[euclidean] ________________
nn_data = array([[0.99754206, 0.62460812, 0.67259408, 0.49108137, 0.78531799],
[0.44461824, 0.8212686 , 0.84079163, 0.912..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'euclidean'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_update_w_prepare_query_accuracy(nn_data, metric):
> nnd = NNDescent(
nn_data[200:800],
metric=metric,
n_neighbors=10,
random_state=None,
compressed=False,
)
pynndescent/tests/test_pynndescent_.py:566:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_update_w_prepare_query_accuracy[cosine] _________________
nn_data = array([[0.30257459, 0.91502373, 0.13810664, 0.32069906, 0.16646868],
[0.69825849, 0.34750073, 0.73767088, 0.566..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'cosine'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_update_w_prepare_query_accuracy(nn_data, metric):
> nnd = NNDescent(
nn_data[200:800],
metric=metric,
n_neighbors=10,
random_state=None,
compressed=False,
)
pynndescent/tests/test_pynndescent_.py:566:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[0-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 0, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[0-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 0, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[0-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 0, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[1-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 1, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[1-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 1, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[1-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 1, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[2-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 2, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[2-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 2, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[2-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 2, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[3-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 3, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[3-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 3, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[3-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 3, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[4-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 4, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[4-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 4, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[4-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 4, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[5-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 5, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[5-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 5, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[5-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 5, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[6-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 6, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[6-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 6, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[6-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 6, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[7-manhattan] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 7, metric = 'manhattan'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________ test_update_with_changed_data[7-euclidean] __________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 7, metric = 'euclidean'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
___________________ test_update_with_changed_data[7-cosine] ____________________
update_data = [(array([[0.92961609, 0.31637555, 0.18391881, 0.20456028, 0.56772503],
[0.5955447 , 0.96451452, 0.6531771 , 0.7... [0.8750829 , 0.69547793, 0.18209623, 0.22261694, 0.46702918]],
shape=(1000, 5)), [0, 1, 2, 3, 4, 5, ...]), ...]
case = 7, metric = 'cosine'
@pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"])
@pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data
def test_update_with_changed_data(update_data, case, metric):
def evaluate(nn_descent, xs_to_fit, xs_to_query):
true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit)
neighbors, _ = nn_descent.query(xs_to_query, k=k)
neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False)
p_correct = evaluate_predictions(neighbors_expected, neighbors, k)
assert p_correct >= 0.95, (
"NN-descent query did not get 95% " "accuracy on nearest neighbors"
)
k = 10
xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case]
queries1 = xs_orig
# original
> index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234)
pynndescent/tests/test_pynndescent_.py:618:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_tree_numbers_after_multiple_updates[1] __________________
n_trees = 1
@pytest.mark.parametrize("n_trees", [1, 2, 3, 10])
def test_tree_numbers_after_multiple_updates(n_trees):
trees_after_update = max(1, int(np.round(n_trees / 3)))
> nnd = NNDescent(np.array([[1.0]]), n_neighbors=1, n_trees=n_trees)
pynndescent/tests/test_pynndescent_.py:642:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_tree_numbers_after_multiple_updates[2] __________________
n_trees = 2
@pytest.mark.parametrize("n_trees", [1, 2, 3, 10])
def test_tree_numbers_after_multiple_updates(n_trees):
trees_after_update = max(1, int(np.round(n_trees / 3)))
> nnd = NNDescent(np.array([[1.0]]), n_neighbors=1, n_trees=n_trees)
pynndescent/tests/test_pynndescent_.py:642:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_tree_numbers_after_multiple_updates[3] __________________
n_trees = 3
@pytest.mark.parametrize("n_trees", [1, 2, 3, 10])
def test_tree_numbers_after_multiple_updates(n_trees):
trees_after_update = max(1, int(np.round(n_trees / 3)))
> nnd = NNDescent(np.array([[1.0]]), n_neighbors=1, n_trees=n_trees)
pynndescent/tests/test_pynndescent_.py:642:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________ test_tree_numbers_after_multiple_updates[10] _________________
n_trees = 10
@pytest.mark.parametrize("n_trees", [1, 2, 3, 10])
def test_tree_numbers_after_multiple_updates(n_trees):
trees_after_update = max(1, int(np.round(n_trees / 3)))
> nnd = NNDescent(np.array([[1.0]]), n_neighbors=1, n_trees=n_trees)
pynndescent/tests/test_pynndescent_.py:642:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_______________________ test_tree_init_false[euclidean] ________________________
nn_data = array([[0.82459894, 0.08604764, 0.01016379, 0.12074439, 0.3263681 ],
[0.03172984, 0.55723523, 0.60819482, 0.024..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'euclidean'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_tree_init_false(nn_data, metric):
> nnd = NNDescent(
nn_data[200:], metric=metric, n_neighbors=10, random_state=None, tree_init=False
)
pynndescent/tests/test_pynndescent_.py:660:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_________________________ test_tree_init_false[cosine] _________________________
nn_data = array([[0.98695644, 0.33425315, 0.77929177, 0.93092914, 0.52440043],
[0.23512488, 0.1553602 , 0.95939288, 0.401..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'cosine'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_tree_init_false(nn_data, metric):
> nnd = NNDescent(
nn_data[200:], metric=metric, n_neighbors=10, random_state=None, tree_init=False
)
pynndescent/tests/test_pynndescent_.py:660:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_____________________ test_one_dimensional_data[euclidean] _____________________
nn_data = array([[0.73128115, 0.62501349, 0.45505512, 0.98201867, 0.14978135],
[0.45024925, 0.13874492, 0.70487097, 0.605..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'euclidean'
@pytest.mark.parametrize(
"metric", ["euclidean", "manhattan"]
) # cosine makes no sense for 1D
def test_one_dimensional_data(nn_data, metric):
> nnd = NNDescent(
nn_data[200:, :1],
metric=metric,
n_neighbors=20,
random_state=None,
tree_init=False,
)
pynndescent/tests/test_pynndescent_.py:684:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
_____________________ test_one_dimensional_data[manhattan] _____________________
nn_data = array([[0.17196229, 0.82598028, 0.69904943, 0.37439974, 0.60900657],
[0.93550793, 0.41063286, 0.39154143, 0.107..., 0. , 0. ],
[0. , 0. , 0. , 0. , 0. ]],
shape=(1002, 5))
metric = 'manhattan'
@pytest.mark.parametrize(
"metric", ["euclidean", "manhattan"]
) # cosine makes no sense for 1D
def test_one_dimensional_data(nn_data, metric):
> nnd = NNDescent(
nn_data[200:, :1],
metric=metric,
n_neighbors=20,
random_state=None,
tree_init=False,
)
pynndescent/tests/test_pynndescent_.py:684:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________________ test_tree_no_split[euclidean] _________________________
small_data = array([[28.13039979, 16.57979176, 31.80550748, 32.01977256, 27.61190147],
[14.91434806, 12.68102166, 8.8696147...852, 30.98468932, 10.65281454, 31.98563219],
[14.44627291, 28.72245822, 36.54024792, 23.29684076, 7.85484759]])
sparse_small_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 640 stored elements and shape (40, 32)>
metric = 'euclidean'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_tree_no_split(small_data, sparse_small_data, metric):
k = 10
for data, data_type in zip([small_data, sparse_small_data], ["dense", "sparse"]):
n_instances = data.shape[0]
leaf_size = n_instances + 1 # just to be safe
data_train = data[n_instances // 2 :]
data_test = data[: n_instances // 2]
> nnd = NNDescent(
data_train,
metric=metric,
n_neighbors=data_train.shape[0] - 1,
random_state=None,
tree_init=True,
leaf_size=leaf_size,
)
pynndescent/tests/test_pynndescent_.py:717:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
__________________________ test_tree_no_split[cosine] __________________________
small_data = array([[37.30915758, 33.49158636, 11.22876664, 18.47620384, 5.80685874],
[30.6148086 , 13.57136031, 31.4033750...725, 8.98868987, 32.77889697, 11.49747471],
[17.52130225, 29.43756355, 9.40601524, 28.27027073, 5.36939169]])
sparse_small_data = <Compressed Sparse Row sparse matrix of dtype 'float64'
with 640 stored elements and shape (40, 32)>
metric = 'cosine'
@pytest.mark.parametrize("metric", ["euclidean", "cosine"])
def test_tree_no_split(small_data, sparse_small_data, metric):
k = 10
for data, data_type in zip([small_data, sparse_small_data], ["dense", "sparse"]):
n_instances = data.shape[0]
leaf_size = n_instances + 1 # just to be safe
data_train = data[n_instances // 2 :]
data_test = data[: n_instances // 2]
> nnd = NNDescent(
data_train,
metric=metric,
n_neighbors=data_train.shape[0] - 1,
random_state=None,
tree_init=True,
leaf_size=leaf_size,
)
pynndescent/tests/test_pynndescent_.py:717:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
________________________________ test_bad_data _________________________________
@pytest.mark.skipif(
"NUMBA_DISABLE_JIT" in os.environ, reason="Too expensive for disabled Numba"
)
def test_bad_data():
data = np.sqrt(
np.load("pynndescent/tests/test_data/pynndescent_bug_np.npz")["arr_0"]
)
> index = NNDescent(data, metric="cosine")
pynndescent/tests/test_pynndescent_.py:750:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pynndescent/pynndescent_.py:923: in __init__
self._neighbor_graph = nn_descent(
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:424: in _compile_for_args
error_rewrite(e, 'typing')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
e = TypingError('Failed in nopython mode pipeline (step: nopython frontend)\nFailed in nopython mode pipeline (step: nopyt... init_rp_tree(data, dist, current_graph, leaf_array)\n ^\n\nDuring: Pass nopython_type_inference')
issue_type = 'typing'
def error_rewrite(e, issue_type):
"""
Rewrite and raise Exception `e` with help supplied based on the
specified issue_type.
"""
if config.SHOW_HELP:
help_msg = errors.error_extras[issue_type]
e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
if config.FULL_TRACEBACKS:
raise e
else:
> raise e.with_traceback(None)
E numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Failed in nopython mode pipeline (step: nopython frontend)
E Invalid use of iternext with parameters (range_state_int64)
E
E During: typing of intrinsic-call at /build/source/pynndescent/pynndescent_.py (77)
E
E File "pynndescent/pynndescent_.py", line 77:
E def generate_leaf_updates(leaf_block, dist_thresholds, data, dist):
E <source elided>
E
E updates = [[(-1, -1, np.inf)] for i in range(leaf_block.shape[0])]
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E During: resolving callee type: type(CPUDispatcher(<function generate_leaf_updates at 0x7ffd6317a5c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (111)
E
E
E File "pynndescent/pynndescent_.py", line 111:
E def init_rp_tree(data, dist, current_graph, leaf_array):
E <source elided>
E
E updates = generate_leaf_updates(leaf_block, dist_thresholds, data, dist)
E ^
E
E During: Pass nopython_type_inference
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E During: resolving callee type: type(CPUDispatcher(<function init_rp_tree at 0x7ffd6317a0c0>))
E During: typing of call at /build/source/pynndescent/pynndescent_.py (347)
E
E
E File "pynndescent/pynndescent_.py", line 347:
E def nn_descent(
E <source elided>
E if rp_tree_init:
E init_rp_tree(data, dist, current_graph, leaf_array)
E ^
E
E During: Pass nopython_type_inference
/nix/store/qaq1png1jn59gxl742i4ck8jsmhdf2r6-python3.13-numba-0.61.2/lib/python3.13/site-packages/numba/core/dispatcher.py:365: TypingError
=============================== warnings summary ===============================
pynndescent/tests/test_distances.py::test_binary_check[sokalmichener]
pynndescent/tests/test_distances.py::test_sparse_binary_check[sokalmichener]
/nix/store/in6wyzdhhz9pbcbd5fmz6qmbgjiggfxa-python3.13-scipy-1.15.3/lib/python3.13/site-packages/scipy/spatial/distance.py:2322: DeprecationWarning: The sokalmichener metric is deprecated since SciPy 1.15.0 and will be removed in SciPy 1.17.0. Replace usage of 'sokalmichener(u, v)' with 'rogerstanimoto(u, v)'.
return pdist_fn(X, out=out, **kwargs)
pynndescent/tests/test_distances.py::test_bit_jaccard
/nix/store/lcwr3sxp90dx13zfv3nkb1blc83xchhh-python3.13-scikit-learn-1.6.1/lib/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric jaccard
warnings.warn(msg, DataConversionWarning)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED pynndescent/tests/test_pynndescent_.py::test_nn_descent_neighbor_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_angular_nn_descent_neighbor_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_bitpacked_nn_descent_neighbor_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_sparse_nn_descent_neighbor_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_sparse_angular_nn_descent_neighbor_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_nn_descent_query_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_nn_descent_query_accuracy_angular - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_sparse_nn_descent_query_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_sparse_nn_descent_query_accuracy_angular - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_bitpacked_nn_descent_query_accuracy - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_transformer_equivalence - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_random_state_none - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_deterministic - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_rp_trees_should_not_stack_overflow_with_duplicate_data - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_deduplicated_data_behaves_normally - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_rp_trees_should_not_stack_overflow_with_near_duplicate_data - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_output_when_verbose_is_true - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_no_output_when_verbose_is_false - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_transformer_output_when_verbose_is_true - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_transformer_output_when_verbose_is_false - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_pickle_unpickle - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_compressed_pickle_unpickle - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_transformer_pickle_unpickle - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_joblib_dump - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_no_prepare_query_accuracy[euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_no_prepare_query_accuracy[cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_w_prepare_query_accuracy[euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_w_prepare_query_accuracy[cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[0-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[0-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[0-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[1-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[1-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[1-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[2-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[2-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[2-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[3-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[3-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[3-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[4-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[4-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[4-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[5-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[5-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[5-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[6-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[6-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[6-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[7-manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[7-euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_update_with_changed_data[7-cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_numbers_after_multiple_updates[1] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_numbers_after_multiple_updates[2] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_numbers_after_multiple_updates[3] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_numbers_after_multiple_updates[10] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_init_false[euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_init_false[cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_one_dimensional_data[euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_one_dimensional_data[manhattan] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_no_split[euclidean] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_tree_no_split[cosine] - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
FAILED pynndescent/tests/test_pynndescent_.py::test_bad_data - numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopy...
======= 63 failed, 83 passed, 1 skipped, 3 warnings in 73.10s (0:01:13) ========
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