Error in `examples/causal_inference/bayesian_nonparametric_causal.ipynb`

Seems to be some pandas error.

────────────────────────────────── Error running examples/causal_inference/bayesian_nonparametric_causal.ipynb ───────────────────────────────────

---------------------------------------------------------------------------
Exception encountered at "In [17]":
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[17], line 3
      1 temp = X.copy()
      2 temp["ps"] = ps_logit.values
----> 3 temp["ps_cut"] = pd.qcut(temp["ps"], 5)
      6 def plot_balance(temp, col, t):
      7     fig, axs = plt.subplots(1, 5, figsize=(20, 9))

File ~/micromamba/envs/pymc-examples/lib/python3.11/site-packages/pandas/core/reshape/tile.py:340, in qcut(x, q, labels, retbins, precision,
duplicates)
    336 quantiles = np.linspace(0, 1, q + 1) if is_integer(q) else q
    338 bins = x_idx.to_series().dropna().quantile(quantiles)
--> 340 fac, bins = _bins_to_cuts(
    341     x_idx,
    342     Index(bins),
    343     labels=labels,
    344     precision=precision,
    345     include_lowest=True,
    346     duplicates=duplicates,
    347 )
    349 return _postprocess_for_cut(fac, bins, retbins, original)

File ~/micromamba/envs/pymc-examples/lib/python3.11/site-packages/pandas/core/reshape/tile.py:443, in _bins_to_cuts(x_idx, bins, right, labels,
precision, include_lowest, duplicates, ordered)
    441 if len(unique_bins) < len(bins) and len(bins) != 2:
    442     if duplicates == "raise":
--> 443         raise ValueError(
    444             f"Bin edges must be unique: {repr(bins)}.\n"
    445             f"You can drop duplicate edges by setting the 'duplicates' kwarg"
    446         )
    447     bins = unique_bins
    449 side: Literal["left", "right"] = "left" if right else "right"

ValueError: Bin edges must be unique: Index([0.47, 0.48, 0.48, 0.48, 0.49, 0.5], dtype='float64', name='ps').
You can drop duplicate edges by setting the 'duplicates' kwarg

Open examples/causal_inference/bayesian_nonparametric_causal.ipynb and inspect cell In[17], starting with the pd.qcut call shown in the traceback. Run the notebook to reproduce the pandas ValueError and verify that the example completes without this error.