Datasets:

---

txus

/

ballast-repro-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
rows: list<item: struct<n_space: int64, n_sampT: int64, J: int64, spde_post_s: double, naive_dim: int64, s (... 80 chars omitted)
  child 0, item: struct<n_space: int64, n_sampT: int64, J: int64, spde_post_s: double, naive_dim: int64, spde_propaga (... 68 chars omitted)
      child 0, n_space: int64
      child 1, n_sampT: int64
      child 2, J: int64
      child 3, spde_post_s: double
      child 4, naive_dim: int64
      child 5, spde_propagate_s: double
      child 6, spde_s: double
      child 7, naive_s: double
      child 8, naive_cov_gb: double
total_seconds: double
device: string
records: list<item: struct<rep: int64, t: double, u: list<item: list<item: double>>, u_eig: list<item: double (... 48 chars omitted)
  child 0, item: struct<rep: int64, t: double, u: list<item: list<item: double>>, u_eig: list<item: double>, u_true:  (... 36 chars omitted)
      child 0, rep: int64
      child 1, t: double
      child 2, u: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 3, u_eig: list<item: double>
          child 0, item: double
      child 4, u_true: list<item: double>
          child 0, item: double
      child 5, seconds: double
config: struct<mode: string, out: string, seed_lo: int64, seed_hi: int64, n_samples: int64, runs_per_field:  (... 281 chars omitted)
  child 0, mode: string
  child 1, out: string
  child 2, seed_lo: int64
  child 3, seed_hi: int64
  child 4, n_samples: int64
  child 5, runs_per_field: int64
  child 6, policies: list<item: string>
      child 0, item: string
  child 7, decision_times: list<item: double>
      child 0, item: double
  child 8, fields: string
  child 9, x_lo: double
  child 10, x_hi: double
  child 11, y_lo: double
  child 12, y_hi: double
  child 13, grid_sizes: list<item: int64>
      child 0, item: int64
  child 14, n_sampT: list<item: int64>
      child 0, item: int64
  child 15, n_obs: int64
  child 16, J: int64
  child 17, naive_max_dim: int64
  child 18, repeats: int64
  child 19, bucket: string
to
{'config': {'mode': Value('string'), 'out': Value('string'), 'seed_lo': Value('int64'), 'seed_hi': Value('int64'), 'n_samples': Value('int64'), 'runs_per_field': Value('int64'), 'policies': List(Value('string')), 'decision_times': List(Value('float64')), 'fields': Value('string'), 'x_lo': Value('float64'), 'x_hi': Value('float64'), 'y_lo': Value('float64'), 'y_hi': Value('float64'), 'grid_sizes': List(Value('int64')), 'n_sampT': List(Value('int64')), 'n_obs': Value('int64'), 'J': Value('int64'), 'naive_max_dim': Value('int64'), 'repeats': Value('int64'), 'bucket': Value('string')}, 'records': List({'rep': Value('int64'), 't': Value('float64'), 'u': List(List(Value('float64'))), 'u_eig': List(Value('float64')), 'u_true': List(Value('float64')), 'seconds': Value('float64')}), 'total_seconds': Value('float64'), 'device': Value('string')}
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<n_space: int64, n_sampT: int64, J: int64, spde_post_s: double, naive_dim: int64, s (... 80 chars omitted)
                child 0, item: struct<n_space: int64, n_sampT: int64, J: int64, spde_post_s: double, naive_dim: int64, spde_propaga (... 68 chars omitted)
                    child 0, n_space: int64
                    child 1, n_sampT: int64
                    child 2, J: int64
                    child 3, spde_post_s: double
                    child 4, naive_dim: int64
                    child 5, spde_propagate_s: double
                    child 6, spde_s: double
                    child 7, naive_s: double
                    child 8, naive_cov_gb: double
              total_seconds: double
              device: string
              records: list<item: struct<rep: int64, t: double, u: list<item: list<item: double>>, u_eig: list<item: double (... 48 chars omitted)
                child 0, item: struct<rep: int64, t: double, u: list<item: list<item: double>>, u_eig: list<item: double>, u_true:  (... 36 chars omitted)
                    child 0, rep: int64
                    child 1, t: double
                    child 2, u: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 3, u_eig: list<item: double>
                        child 0, item: double
                    child 4, u_true: list<item: double>
                        child 0, item: double
                    child 5, seconds: double
              config: struct<mode: string, out: string, seed_lo: int64, seed_hi: int64, n_samples: int64, runs_per_field:  (... 281 chars omitted)
                child 0, mode: string
                child 1, out: string
                child 2, seed_lo: int64
                child 3, seed_hi: int64
                child 4, n_samples: int64
                child 5, runs_per_field: int64
                child 6, policies: list<item: string>
                    child 0, item: string
                child 7, decision_times: list<item: double>
                    child 0, item: double
                child 8, fields: string
                child 9, x_lo: double
                child 10, x_hi: double
                child 11, y_lo: double
                child 12, y_hi: double
                child 13, grid_sizes: list<item: int64>
                    child 0, item: int64
                child 14, n_sampT: list<item: int64>
                    child 0, item: int64
                child 15, n_obs: int64
                child 16, J: int64
                child 17, naive_max_dim: int64
                child 18, repeats: int64
                child 19, bucket: string
              to
              {'config': {'mode': Value('string'), 'out': Value('string'), 'seed_lo': Value('int64'), 'seed_hi': Value('int64'), 'n_samples': Value('int64'), 'runs_per_field': Value('int64'), 'policies': List(Value('string')), 'decision_times': List(Value('float64')), 'fields': Value('string'), 'x_lo': Value('float64'), 'x_hi': Value('float64'), 'y_lo': Value('float64'), 'y_hi': Value('float64'), 'grid_sizes': List(Value('int64')), 'n_sampT': List(Value('int64')), 'n_obs': Value('int64'), 'J': Value('int64'), 'naive_max_dim': Value('int64'), 'repeats': Value('int64'), 'bucket': Value('string')}, 'records': List({'rep': Value('int64'), 't': Value('float64'), 'u': List(List(Value('float64'))), 'u_eig': List(Value('float64')), 'u_true': List(Value('float64')), 'seconds': Value('float64')}), 'total_seconds': Value('float64'), 'device': Value('string')}
              because column names don't match