Showing memory error in BallTree

kneighbors_test.py

import warnings
from sklearn import datasets
from sklearn.neighbors import NearestNeighbors
import numpy as np

n_points = 1000
n_neighbors = 10
out_dim = 2

n_trials = 100
X, _ = datasets.samples_generator.make_s_curve(n_points, random_state=123)

knn = NearestNeighbors(n_neighbors)

for i in xrange(n_trials):
    print i + 1
    knn.fit(X)
    #print X  # <-- uncomment this line and the test will no longer fail.
    with warnings.catch_warnings(record=True) as w:
        knn.kneighbors(X)
        assert(len(w) == 0)