Datasets:

---

dung5k

/

argo_workspaces

like 3

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<london: struct<BEST_VLOSS: struct<epoch: int64, max_threshold: double, composite_score: double, val_loss: double, threshold_metrics: list<item: struct<threshold: double, total_signals: int64, win_rate: double, avg_win_return: double, avg_loss_return: double, ev_score: double, sharpe_score: double, tus_score: double, total_buy: int64, total_sell: int64>>, win_rates: list<item: double>, thresholds: list<item: double>, totals: list<item: int64>>>>
to
{'asian': {'BEST_VLOSS': {'epoch': Value('int64'), 'max_threshold': Value('float64'), 'composite_score': Value('float64'), 'val_loss': Value('float64'), 'threshold_metrics': List({'threshold': Value('float64'), 'total_signals': Value('int64'), 'win_rate': Value('float64'), 'avg_win_return': Value('float64'), 'avg_loss_return': Value('float64'), 'ev_score': Value('float64'), 'sharpe_score': Value('float64'), 'tus_score': Value('float64'), 'total_buy': Value('int64'), 'total_sell': Value('int64')}), 'win_rates': List(Value('float64')), 'thresholds': List(Value('float64')), 'totals': List(Value('int64'))}}}
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 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<london: struct<BEST_VLOSS: struct<epoch: int64, max_threshold: double, composite_score: double, val_loss: double, threshold_metrics: list<item: struct<threshold: double, total_signals: int64, win_rate: double, avg_win_return: double, avg_loss_return: double, ev_score: double, sharpe_score: double, tus_score: double, total_buy: int64, total_sell: int64>>, win_rates: list<item: double>, thresholds: list<item: double>, totals: list<item: int64>>>>
              to
              {'asian': {'BEST_VLOSS': {'epoch': Value('int64'), 'max_threshold': Value('float64'), 'composite_score': Value('float64'), 'val_loss': Value('float64'), 'threshold_metrics': List({'threshold': Value('float64'), 'total_signals': Value('int64'), 'win_rate': Value('float64'), 'avg_win_return': Value('float64'), 'avg_loss_return': Value('float64'), 'ev_score': Value('float64'), 'sharpe_score': Value('float64'), 'tus_score': Value('float64'), 'total_buy': Value('int64'), 'total_sell': Value('int64')}), 'win_rates': List(Value('float64')), 'thresholds': List(Value('float64')), 'totals': List(Value('int64'))}}}