Running cross validation causes IndexError: single positional indexer is out-of-bounds

I have a dataset where there is gaps in the data. Because of this, when I try to run the cross-validation on the data, the code fails with error `IndexError: single positional indexer is out-of-bounds` because I guess it cannot find any data on the test set to compare the performance against.

I have also posted this on stack overflow - https://stackoverflow.com/questions/75488566/how-to-handle-cross-validation-in-prophet-with-gaps-in-the-dataset

Here is my code -

```
from prophet.diagnostics import cross_validation as cv, performance_metrics as pm
import pandas as pd
df = pd.read_csv('..')
model = ProphetPos(holidays = holidays, **config.MODEL_PARAMS)
model.fit(df)
results = cv(model, f'182 days', initial=f'182', period='30 days', parallel='threads')
```

And here is the logs -
```

File "/usr/local/lib/python3.8/site-packages/prophet/diagnostics.py", line 202, in cross_validation
return pd.concat(predicts, axis=0).reset_index(drop=True)
File "/usr/local/lib/python3.8/site-packages/pandas/core/reshape/concat.py", line 285, in concat
op = _Concatenator(
File "/usr/local/lib/python3.8/site-packages/pandas/core/reshape/concat.py", line 339, in __init__
objs = list(objs)
File "/usr/local/lib/python3.8/concurrent/futures/_base.py", line 619, in result_iterator
yield fs.pop().result()
File "/usr/local/lib/python3.8/concurrent/futures/_base.py", line 444, in result
return self.__get_result()
File "/usr/local/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
raise self._exception
File "/usr/local/lib/python3.8/concurrent/futures/thread.py", line 57, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/local/lib/python3.8/site-packages/prophet/diagnostics.py", line 250, in single_cutoff_forecast
yhat = m.predict(df[index_predicted][columns])
File "/usr/local/lib/python3.8/site-packages/inf_forecast_colo/utils/prophet_forecaster.py", line 1682, in predict
if fcst['trend'].iloc[-1] < fcst['trend'].iloc[-2]:
File "/usr/local/lib/python3.8/site-packages/pandas/core/indexing.py", line 895, in __getitem__
return self._getitem_axis(maybe_callable, axis=axis)
File "/usr/local/lib/python3.8/site-packages/pandas/core/indexing.py", line 1501, in _getitem_axis
self._validate_integer(key, axis)
File "/usr/local/lib/python3.8/site-packages/pandas/core/indexing.py", line 1444, in _validate_integer
raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds
```

Is there a way to efficiently handle the gaps in the data and still be able to do cross validation?