numpy.linalg.LinAlgError: Matrix is singular to machine precision

[bg-aggregator]

My python version is 3.12.2

The code I wrote is similar to their test.

    from pybreakpoints.baiperron import breakpoint
    import numpy as np
    import pandas as pd
    
    nile = pd.read_csv("tests/data/nile.csv")
    X = np.ones_like(nile)
    results = breakpoint(X, nile)

But I got errors.

mytest.py", line 9, in <module>
    results = breakpoint(X, nile)
              ^^^^^^^^^^^^^^^^^^^
\pybreakpoints\baiperron.py", line 76, in breakpoint
    ssr = recresid(X_[i:n, :], y_[i:n])
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
\pybreakpoints\recresid_.py", line 134, in recresid
    rresid = _recresid(_X, _y, span)[span:]
             ^^^^^^^^^^^^^^^^^^^^^^^

\Python312\Lib\site-packages\numba\np\linalg.py", line 899, in _inv_err_handler
    raise np.linalg.LinAlgError(
numpy.linalg.LinAlgError: Matrix is singular to machine precision.

Since it is the data from the repo the test should at least be able to run. I suspect this is just data format problem but I'm new to python and not sure how to debug.