Datasets:

---

AceVikings

/

13581-repro-outputs

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
rows: list<item: struct<h: int64, alpha: double, eta: double, d2_1: double, d2_2: double, is_local_min_1st (... 36 chars omitted)
  child 0, item: struct<h: int64, alpha: double, eta: double, d2_1: double, d2_2: double, is_local_min_1step: bool, i (... 24 chars omitted)
      child 0, h: int64
      child 1, alpha: double
      child 2, eta: double
      child 3, d2_1: double
      child 4, d2_2: double
      child 5, is_local_min_1step: bool
      child 6, is_local_min_2step: bool
summary: struct<0.25: struct<any_1step_min: bool, any_2step_min: bool>, 0.5: struct<any_1step_min: bool, any_ (... 349 chars omitted)
  child 0, 0.25: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 1, 0.5: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 2, 0.75: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 3, 1.0: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 4, 1.1: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 5, 1.25: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 6, 1.4: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
  child 7, 1.5: struct<any_1step_min: bool, any_2step_min: bool>
      child 0, any_1step_min: bool
      child 1, any_2step_min: bool
median_L2_rel_err: double
n_points: int64
max_L2_rel_err: double
max_L1_rel_err: double
median_L1_rel_err: double
to
{'n_points': Value('int64'), 'max_L1_rel_err': Value('float64'), 'max_L2_rel_err': Value('float64'), 'median_L1_rel_err': Value('float64'), 'median_L2_rel_err': Value('float64'), 'rows': List({'h': Value('int64'), 'eta1': Value('int64'), 'eta2': Value('int64'), 'L1_theory': Value('float64'), 'L1_empirical': Value('float64'), 'L1_rel_err': Value('float64'), 'L2_theory': Value('float64'), 'L2_empirical': Value('float64'), 'L2_rel_err': Value('float64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              rows: list<item: struct<h: int64, alpha: double, eta: double, d2_1: double, d2_2: double, is_local_min_1st (... 36 chars omitted)
                child 0, item: struct<h: int64, alpha: double, eta: double, d2_1: double, d2_2: double, is_local_min_1step: bool, i (... 24 chars omitted)
                    child 0, h: int64
                    child 1, alpha: double
                    child 2, eta: double
                    child 3, d2_1: double
                    child 4, d2_2: double
                    child 5, is_local_min_1step: bool
                    child 6, is_local_min_2step: bool
              summary: struct<0.25: struct<any_1step_min: bool, any_2step_min: bool>, 0.5: struct<any_1step_min: bool, any_ (... 349 chars omitted)
                child 0, 0.25: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 1, 0.5: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 2, 0.75: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 3, 1.0: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 4, 1.1: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 5, 1.25: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 6, 1.4: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
                child 7, 1.5: struct<any_1step_min: bool, any_2step_min: bool>
                    child 0, any_1step_min: bool
                    child 1, any_2step_min: bool
              median_L2_rel_err: double
              n_points: int64
              max_L2_rel_err: double
              max_L1_rel_err: double
              median_L1_rel_err: double
              to
              {'n_points': Value('int64'), 'max_L1_rel_err': Value('float64'), 'max_L2_rel_err': Value('float64'), 'median_L1_rel_err': Value('float64'), 'median_L2_rel_err': Value('float64'), 'rows': List({'h': Value('int64'), 'eta1': Value('int64'), 'eta2': Value('int64'), 'L1_theory': Value('float64'), 'L1_empirical': Value('float64'), 'L1_rel_err': Value('float64'), 'L2_theory': Value('float64'), 'L2_empirical': Value('float64'), 'L2_rel_err': Value('float64')})}
              because column names don't match