RuntimeError: more samples requested than data

[nahgnaw]

I have the following simple test code:

from pyxmeans import XMeans as xmeans
import numpy as np

data = np.array([
    [1.0, 1.0],
    [1.1, 1.1],
    [1.2, 1.2],
    [10.0, 10.0],
    [10.1, 10.1],
    [10.2, 10.2]
])

test = xmeans(2)
test.fit(data)

The output reported the following error:

/usr/local/lib/python2.7/dist-packages/pyxmeans/xmeans.py:135: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if centroids in ('kmeans++', 'random'):
/usr/local/lib/python2.7/dist-packages/pyxmeans/mini_batch.py:109: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if self.init == 'random':
/usr/local/lib/python2.7/dist-packages/pyxmeans/mini_batch.py:111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  elif self.init == 'kmeans++':
Traceback (most recent call last):
  File "test.py", line 14, in <module>
    test.fit(data)
  File "/usr/local/lib/python2.7/dist-packages/pyxmeans/xmeans.py", line 61, in fit
    test_model = self._fit(2, points, np.asarray([new_point1, new_point2]))
  File "/usr/local/lib/python2.7/dist-packages/pyxmeans/xmeans.py", line 146, in _fit
    ).fit(data[:])
  File "/usr/local/lib/python2.7/dist-packages/pyxmeans/mini_batch.py", line 131, in fit
    self.cluster_centers_ =  _minibatch.minibatch(data, self.cluster_centers_, self.n_samples, self.max_iter, self.bic_termination, self.reassignment_ratio)
RuntimeError: more samples requested than data.

Do you know what might be the reason for this error?

Thanks!