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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
strength: double
kappa: double
false_alarm_rate: double
detection_rate: double
delay_median: double
delay_q95: double
theorem_delay_envelope_from_heldout_calibration: double
q95_below_envelope: bool
vs
strength: double
kappa: double
repetition: int64
seed: int64
alarm_time: int64
false_alarm: bool
detected_after_change: bool
delay: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              strength: double
              kappa: double
              false_alarm_rate: double
              detection_rate: double
              delay_median: double
              delay_q95: double
              theorem_delay_envelope_from_heldout_calibration: double
              q95_below_envelope: bool
              vs
              strength: double
              kappa: double
              repetition: int64
              seed: int64
              alarm_time: int64
              false_alarm: bool
              detected_after_change: bool
              delay: double

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Check out the documentation for more information.

Online PPP change-point reproduction

Independent fixed-memory streaming checks, 100 Monte Carlo 3D PPP runs, a signal-delay scaling check, a proof audit plus geometrically mixing concentration experiment, and an independent USGS Oklahoma reconstruction. Run uv run --with-requirements requirements.txt python reproduce.py and uv run --with-requirements requirements.txt python reproduce_oklahoma.py.

The bundle explicitly records missing modules/data in the author repository. Proxy baselines are not presented as exact MMD/KIE reproductions, and the Oklahoma factor-sensitivity study is not presented as the missing author preprocessing/tuning pipeline.

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