Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

BUG: The signature of cKDTree.query_pairs in the docs does not mention the output_type parameter

See original GitHub issue

Describe your issue.

At https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.query_pairs.html the method signature is given as cKDTree.query_pairs(self, r, p=2., eps=0), missing the output_type parameter (which is correctly listed in the parameter list just below.

Reproducing Code Example

N/A

Error message

N/A

SciPy/NumPy/Python version information

1.9.1 1.23.3 sys.version_info(major=3, minor=10, micro=7, releaselevel=‘final’, serial=0)

Issue Analytics

State:
Created a year ago
Comments:7 (7 by maintainers)

Top GitHub Comments

1reaction

jjerphancommented, Sep 30, 2022

Yes, but probably after I treat other PRs I’ve started?

1reaction

anntzercommented, Sep 28, 2022

I’ll pass on that one 😃

Top Results From Across the Web

BUG: Missing pairs in cKDTree.query_pairs when coordinates ...

If one constructs a cKDTree with some nan coordinates, and then run query_pairs, some real pairs (not involving nans) will sometimes be missing....

scipy.spatial.cKDTree — SciPy v1.9.3 Manual

This class provides an index into a set of k-dimensional points which can be used to rapidly look up the nearest neighbors of...

Scipy cKDTree query_pairs versus query_ball_tree

query_pairs find all pairs of points in self whose distance is at most r. These new official docs might help you: scipy.spatial.cKDTree.

[SciPy-User] scipy.KDTree.query ball tree - Google Groups

It seems that the documentation is missing a parameter. I found an ... SciPy-User mailing list ... be called with a KDTree instance...

sklearn.neighbors.KDTree — scikit-learn 1.2.0 documentation

Additional keywords are passed to the distance metric class. Note: Callable functions in the metric parameter are NOT supported for KDTree: and Ball...