Datasets:

---

pjt222

/

triple-pendulum-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
grid_size: int64
theta_range: list<item: double>
  child 0, item: double
flip_times: list<item: double>
  child 0, item: double
metadata: struct<num_pendulums: int64, dt: double, t_max: double, actual_steps: int64, t_final: double, num_fl (... 167 chars omitted)
  child 0, num_pendulums: int64
  child 1, dt: double
  child 2, t_max: double
  child 3, actual_steps: int64
  child 4, t_final: double
  child 5, num_flipped: int64
  child 6, fraction_flipped: double
  child 7, backend: string
  child 8, wall_time_seconds: double
  child 9, throughput_per_sec: int64
  child 10, date: string
  child 11, total_points: int64
  child 12, total_flipped: int64
grid_type: string
to
{'grid_size': Value('int64'), 'theta_range': List(Value('float64')), 'grid_type': Value('string'), 'metadata': {'num_pendulums': Value('int64'), 'dt': Value('float64'), 't_max': Value('float64'), 'actual_steps': Value('int64'), 't_final': Value('float64'), 'num_flipped': Value('int64'), 'fraction_flipped': Value('float64'), 'backend': Value('string'), 'wall_time_seconds': Value('float64'), 'throughput_per_sec': Value('int64'), 'date': Value('string'), 'total_points': Value('int64'), 'total_flipped': Value('int64')}}
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 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, 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 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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 260, 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 120, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              grid_size: int64
              theta_range: list<item: double>
                child 0, item: double
              flip_times: list<item: double>
                child 0, item: double
              metadata: struct<num_pendulums: int64, dt: double, t_max: double, actual_steps: int64, t_final: double, num_fl (... 167 chars omitted)
                child 0, num_pendulums: int64
                child 1, dt: double
                child 2, t_max: double
                child 3, actual_steps: int64
                child 4, t_final: double
                child 5, num_flipped: int64
                child 6, fraction_flipped: double
                child 7, backend: string
                child 8, wall_time_seconds: double
                child 9, throughput_per_sec: int64
                child 10, date: string
                child 11, total_points: int64
                child 12, total_flipped: int64
              grid_type: string
              to
              {'grid_size': Value('int64'), 'theta_range': List(Value('float64')), 'grid_type': Value('string'), 'metadata': {'num_pendulums': Value('int64'), 'dt': Value('float64'), 't_max': Value('float64'), 'actual_steps': Value('int64'), 't_final': Value('float64'), 'num_flipped': Value('int64'), 'fraction_flipped': Value('float64'), 'backend': Value('string'), 'wall_time_seconds': Value('float64'), 'throughput_per_sec': Value('int64'), 'date': Value('string'), 'total_points': Value('int64'), 'total_flipped': Value('int64')}}
              because column names don't match