Datasets:

---

Firemedic15

/

buoplr-repro-artifacts

like 1

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
uplift_model: string
n_users: int64
lagrangian_uplift: double
lagrangian_runtime_s: double
lp_uplift: double
lp_runtime_s: double
quality_gap_pct: double
speedup_x: double
vs
total_main_uplift: double
total_cost: double
budget: double
budget_ok: bool
quota_usage: string
quotas: string
quota_ok: bool
avg_fatigue: double
fatigue_cap: double
fatigue_ok: bool
n_treated: int64
n_users: int64
pipeline: string
assignment_runtime_s: double
fit_time_s: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              uplift_model: string
              n_users: int64
              lagrangian_uplift: double
              lagrangian_runtime_s: double
              lp_uplift: double
              lp_runtime_s: double
              quality_gap_pct: double
              speedup_x: double
              vs
              total_main_uplift: double
              total_cost: double
              budget: double
              budget_ok: bool
              quota_usage: string
              quotas: string
              quota_ok: bool
              avg_fatigue: double
              fatigue_cap: double
              fatigue_ok: bool
              n_treated: int64
              n_users: int64
              pipeline: string
              assignment_runtime_s: double
              fit_time_s: double