Datasets:

---

cassini-team-todo

/

eea-river-proximity

like 0

Follow

TODO 4

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<interval: struct<from: timestamp[s], to: timestamp[s]>, outputs: struct<indices: struct<bands: struct<B0: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>, B1: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>, B2: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>>>>, error: struct<type: string, message: string, status: int64, th: null>>
to
{'interval': {'from': Value('timestamp[s]'), 'to': Value('timestamp[s]')}, 'outputs': {'indices': {'bands': {'B0': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}, 'B1': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}, 'B2': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}}}}}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2233, 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 2061, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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<interval: struct<from: timestamp[s], to: timestamp[s]>, outputs: struct<indices: struct<bands: struct<B0: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>, B1: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>, B2: struct<stats: struct<min: string, max: string, mean: string, stDev: string, sampleCount: int64, noDataCount: int64, percentiles: struct<50.0: string, 10.0: string, 90.0: string>>>>>>, error: struct<type: string, message: string, status: int64, th: null>>
              to
              {'interval': {'from': Value('timestamp[s]'), 'to': Value('timestamp[s]')}, 'outputs': {'indices': {'bands': {'B0': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}, 'B1': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}, 'B2': {'stats': {'min': Json(decode=True), 'max': Json(decode=True), 'mean': Json(decode=True), 'stDev': Json(decode=True), 'sampleCount': Value('int64'), 'noDataCount': Value('int64'), 'percentiles': {'50.0': Json(decode=True), '10.0': Json(decode=True), '90.0': Json(decode=True)}}}}}}}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset