crash with 0 time series

[apatlpo]

The following code crash:

    import utide
    import numpy as np
    import matplotlib.dates as mdates
    import datetime, dateutil

    print(utide.__version__)

    time = np.arange(0.,30.*86400,60.)
    t0 = datetime.datetime(2011,9,10)
    dtime = [t0+dateutil.relativedelta.relativedelta(seconds=t) for t in time]
    mtime = mdates.date2num(dtime)

    tdat = utide.ut_constants['const']
    iM2 = tdat['name'].tolist().index('M2')
    omega = tdat['freq'][iM2]
    
    eta = 0.*np.cos(2.*np.pi*omega*time/3600.)

    coef = utide.solve(mtime, eta, lat=1., method='ols', conf_int='MC')

with the following error:

(equinox) r2i2n0 datahome/aponte% python tests.py
0.2.2
/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/utide/confidence.py:255: RuntimeWarning: invalid value encountered in true_divide
  Duu = Puu[c] * Duu / np.trace(Duu)
solve: matrix prep ... solution ... Traceback (most recent call last):
  File "tests.py", line 57, in <module>
    test_utide()
  File "tests.py", line 46, in test_utide
    coef = utide.solve(mtime, eta, lat=1., method='ols', conf_int='MC')
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/utide/_solve.py", line 200, in solve
    coef = _solv1(t, u, v, lat, **compat_opts)
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/utide/_solve.py", line 375, in _solv1
    W, m, B, Xu, Yu, Xv, Yv)
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/utide/confidence.py", line 260, in _confidence
    varcov_mCc[c, :, :] = nearestSPD(varcov_mCc[c, :, :])
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/utide/confidence.py", line 139, in nearestSPD
    maxeig = np.abs(np.linalg.eigvals(Ahat)).max()
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/numpy/linalg/linalg.py", line 904, in eigvals
    _assertFinite(a)
  File "/home1/datahome/aponte/.miniconda3/envs/equinox/lib/python3.6/site-packages/numpy/linalg/linalg.py", line 216, in _assertFinite
    raise LinAlgError("Array must not contain infs or NaNs")
numpy.linalg.linalg.LinAlgError: Array must not contain infs or NaNs
(equinox) r2i2n0 datahome/aponte%

[apatlpo]

Couldn't this case be catched "somehow"?