Datasets:

---

P2SAMAPA

/

p2-etf-ftrl-engine

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
window_id: int64
actor_losses: list<item: double>
  child 0, item: double
critic_losses: list<item: double>
  child 0, item: double
episode_returns: list<item: double>
  child 0, item: double
best_return: double
best_epoch: int64
best_model_path: string
failed: list<item: null>
  child 0, item: null
is_reverse: bool
suffix: string
errors: struct<>
date: timestamp[s]
total_ran: int64
all_passed: bool
succeeded: list<item: int64>
  child 0, item: int64
to
{'date': Value('timestamp[s]'), 'suffix': Value('string'), 'is_reverse': Value('bool'), 'succeeded': List(Value('int64')), 'failed': List(Value('null')), 'errors': {}, 'total_ran': Value('int64'), 'all_passed': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              window_id: int64
              actor_losses: list<item: double>
                child 0, item: double
              critic_losses: list<item: double>
                child 0, item: double
              episode_returns: list<item: double>
                child 0, item: double
              best_return: double
              best_epoch: int64
              best_model_path: string
              failed: list<item: null>
                child 0, item: null
              is_reverse: bool
              suffix: string
              errors: struct<>
              date: timestamp[s]
              total_ran: int64
              all_passed: bool
              succeeded: list<item: int64>
                child 0, item: int64
              to
              {'date': Value('timestamp[s]'), 'suffix': Value('string'), 'is_reverse': Value('bool'), 'succeeded': List(Value('int64')), 'failed': List(Value('null')), 'errors': {}, 'total_ran': Value('int64'), 'all_passed': Value('bool')}
              because column names don't match