Datasets:

---

introvoyz041

/

Open-Source-Modeling-of-Syngas-Production-from-Biomass-A-CodeDriven-Approach

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
PLASMA_DATA: struct<mass_flow: double, enthalpy: double, vapor_fraction: int64, molar_composition: struct<H2O: do (... 30 chars omitted)
  child 0, mass_flow: double
  child 1, enthalpy: double
  child 2, vapor_fraction: int64
  child 3, molar_composition: struct<H2O: double, N2: double, O2: double>
      child 0, H2O: double
      child 1, N2: double
      child 2, O2: double
MSW3_data: struct<mass_flow: double, enthalpy: double, vapor_fraction: double, molar_composition: struct<H2: do (... 54 chars omitted)
  child 0, mass_flow: double
  child 1, enthalpy: double
  child 2, vapor_fraction: double
  child 3, molar_composition: struct<H2: double, O2: double, N2: double, S: double, H2O: double>
      child 0, H2: double
      child 1, O2: double
      child 2, N2: double
      child 3, S: double
      child 4, H2O: double
CSOLID_data: struct<mass_flow: double, enthalpy: double, molar_composition: struct<C: double>>
  child 0, mass_flow: double
  child 1, enthalpy: double
  child 2, molar_composition: struct<C: double>
      child 0, C: double
to
{'MSW3_data': {'mass_flow': Value('float64'), 'enthalpy': Value('float64'), 'vapor_fraction': Value('float64'), 'molar_composition': {'H2': Value('float64'), 'O2': Value('float64'), 'N2': Value('float64'), 'S': Value('float64'), 'H2O': Value('float64')}}, 'CSOLID_data': {'mass_flow': Value('float64'), 'enthalpy': Value('float64'), 'molar_composition': {'C': Value('float64')}}}
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 289, 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 124, 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
              PLASMA_DATA: struct<mass_flow: double, enthalpy: double, vapor_fraction: int64, molar_composition: struct<H2O: do (... 30 chars omitted)
                child 0, mass_flow: double
                child 1, enthalpy: double
                child 2, vapor_fraction: int64
                child 3, molar_composition: struct<H2O: double, N2: double, O2: double>
                    child 0, H2O: double
                    child 1, N2: double
                    child 2, O2: double
              MSW3_data: struct<mass_flow: double, enthalpy: double, vapor_fraction: double, molar_composition: struct<H2: do (... 54 chars omitted)
                child 0, mass_flow: double
                child 1, enthalpy: double
                child 2, vapor_fraction: double
                child 3, molar_composition: struct<H2: double, O2: double, N2: double, S: double, H2O: double>
                    child 0, H2: double
                    child 1, O2: double
                    child 2, N2: double
                    child 3, S: double
                    child 4, H2O: double
              CSOLID_data: struct<mass_flow: double, enthalpy: double, molar_composition: struct<C: double>>
                child 0, mass_flow: double
                child 1, enthalpy: double
                child 2, molar_composition: struct<C: double>
                    child 0, C: double
              to
              {'MSW3_data': {'mass_flow': Value('float64'), 'enthalpy': Value('float64'), 'vapor_fraction': Value('float64'), 'molar_composition': {'H2': Value('float64'), 'O2': Value('float64'), 'N2': Value('float64'), 'S': Value('float64'), 'H2O': Value('float64')}}, 'CSOLID_data': {'mass_flow': Value('float64'), 'enthalpy': Value('float64'), 'molar_composition': {'C': Value('float64')}}}
              because column names don't match