Datasets:

---

prarabdhmisra

/

FEmXFeqYNZ-repro

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
dense: list<item: struct<summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, stat (... 843 chars omitted)
  child 0, item: struct<summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, states_checked_ (... 831 chars omitted)
      child 0, summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, states_checked_total: int64, ma (... 354 chars omitted)
          child 0, family: string
          child 1, nS: int64
          child 2, nA: int64
          child 3, H: int64
          child 4, seeds: int64
          child 5, states_checked_total: int64
          child 6, max_abs_identity_err: double
          child 7, max_rel_identity_err: double
          child 8, n_illconditioned_for_rel: int64
          child 9, cor45_min_slack: double
          child 10, cor45_holds_all: bool
          child 11, improvement_nonneg_all: bool
          child 12, min_improvement: double
          child 13, mean_rho_pi0: double
          child 14, mean_rho_piplus: double
          child 15, prop43_max_err: double
          child 16, dplus_crosscheck_err: double
          child 17, max_occupancy_tv_shift: double
          child 18, mean_agg_influence: double
      child 1, runs: list<item: struct<nS: int64, nA: int64, H: int64, seed: int64, n_states_checked: int64, max_abs_iden (... 352 chars omitted)
          child 0, item: struct<nS: int64, nA: int64, H: int64, seed: int64, n_states_checked: int64, max_abs_identity_err: d (... 3
...
 child 6, max_rel_identity_err: double
              child 7, n_illconditioned_for_rel: int64
              child 8, cor45_min_slack: double
              child 9, rho_pi0: double
              child 10, rho_piplus: double
              child 11, improvement: double
overall: struct<total_identity_checks: int64, max_abs_identity_err: double, max_rel_identity_err: double, cor (... 172 chars omitted)
  child 0, total_identity_checks: int64
  child 1, max_abs_identity_err: double
  child 2, max_rel_identity_err: double
  child 3, cor45_holds_everywhere: bool
  child 4, rho_improvement_nonneg_everywhere: bool
  child 5, prop43_max_err: double
  child 6, dplus_crosscheck_err: double
  child 7, max_occupancy_tv_shift: double
  child 8, runtime_s: double
identity: list<item: struct<nS: int64, nA: int64, H: int64, seed: int64, max_identity_error: double, identity_ (... 150 chars omitted)
  child 0, item: struct<nS: int64, nA: int64, H: int64, seed: int64, max_identity_error: double, identity_holds: bool (... 138 chars omitted)
      child 0, nS: int64
      child 1, nA: int64
      child 2, H: int64
      child 3, seed: int64
      child 4, max_identity_error: double
      child 5, identity_holds: bool
      child 6, rho_pi0: double
      child 7, rho_piplus: double
      child 8, improvement_nonneg: bool
      child 9, cor45_per_state_holds: bool
      child 10, sample_rows: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
to
{'identity': List({'nS': Value('int64'), 'nA': Value('int64'), 'H': Value('int64'), 'seed': Value('int64'), 'max_identity_error': Value('float64'), 'identity_holds': Value('bool'), 'rho_pi0': Value('float64'), 'rho_piplus': Value('float64'), 'improvement_nonneg': Value('bool'), 'cor45_per_state_holds': Value('bool'), 'sample_rows': List(List(Value('float64')))})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              dense: list<item: struct<summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, stat (... 843 chars omitted)
                child 0, item: struct<summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, states_checked_ (... 831 chars omitted)
                    child 0, summary: struct<family: string, nS: int64, nA: int64, H: int64, seeds: int64, states_checked_total: int64, ma (... 354 chars omitted)
                        child 0, family: string
                        child 1, nS: int64
                        child 2, nA: int64
                        child 3, H: int64
                        child 4, seeds: int64
                        child 5, states_checked_total: int64
                        child 6, max_abs_identity_err: double
                        child 7, max_rel_identity_err: double
                        child 8, n_illconditioned_for_rel: int64
                        child 9, cor45_min_slack: double
                        child 10, cor45_holds_all: bool
                        child 11, improvement_nonneg_all: bool
                        child 12, min_improvement: double
                        child 13, mean_rho_pi0: double
                        child 14, mean_rho_piplus: double
                        child 15, prop43_max_err: double
                        child 16, dplus_crosscheck_err: double
                        child 17, max_occupancy_tv_shift: double
                        child 18, mean_agg_influence: double
                    child 1, runs: list<item: struct<nS: int64, nA: int64, H: int64, seed: int64, n_states_checked: int64, max_abs_iden (... 352 chars omitted)
                        child 0, item: struct<nS: int64, nA: int64, H: int64, seed: int64, n_states_checked: int64, max_abs_identity_err: d (... 3
              ...
               child 6, max_rel_identity_err: double
                            child 7, n_illconditioned_for_rel: int64
                            child 8, cor45_min_slack: double
                            child 9, rho_pi0: double
                            child 10, rho_piplus: double
                            child 11, improvement: double
              overall: struct<total_identity_checks: int64, max_abs_identity_err: double, max_rel_identity_err: double, cor (... 172 chars omitted)
                child 0, total_identity_checks: int64
                child 1, max_abs_identity_err: double
                child 2, max_rel_identity_err: double
                child 3, cor45_holds_everywhere: bool
                child 4, rho_improvement_nonneg_everywhere: bool
                child 5, prop43_max_err: double
                child 6, dplus_crosscheck_err: double
                child 7, max_occupancy_tv_shift: double
                child 8, runtime_s: double
              identity: list<item: struct<nS: int64, nA: int64, H: int64, seed: int64, max_identity_error: double, identity_ (... 150 chars omitted)
                child 0, item: struct<nS: int64, nA: int64, H: int64, seed: int64, max_identity_error: double, identity_holds: bool (... 138 chars omitted)
                    child 0, nS: int64
                    child 1, nA: int64
                    child 2, H: int64
                    child 3, seed: int64
                    child 4, max_identity_error: double
                    child 5, identity_holds: bool
                    child 6, rho_pi0: double
                    child 7, rho_piplus: double
                    child 8, improvement_nonneg: bool
                    child 9, cor45_per_state_holds: bool
                    child 10, sample_rows: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
              to
              {'identity': List({'nS': Value('int64'), 'nA': Value('int64'), 'H': Value('int64'), 'seed': Value('int64'), 'max_identity_error': Value('float64'), 'identity_holds': Value('bool'), 'rho_pi0': Value('float64'), 'rho_piplus': Value('float64'), 'improvement_nonneg': Value('bool'), 'cor45_per_state_holds': Value('bool'), 'sample_rows': List(List(Value('float64')))})}
              because column names don't match