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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<beam_size: int64, max_depth: int64, nb_exec: int64>
to
{'beam_size': Value('int64'), 'max_depth': Value('int64')}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, 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<beam_size: int64, max_depth: int64, nb_exec: int64>
              to
              {'beam_size': Value('int64'), 'max_depth': Value('int64')}
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, 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

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parameters
dict
program_annotation
dict
initial_execution_time
dict
schedules_list
list
exploration_trace
dict
program_name
string
Tiramisu_cpp
string
{ "beam_size": 3, "max_depth": 6 }
{"memory_size":"5.0078125","iterators":{"i0":{"lower_bound":"0","upper_bound":"512","parent_iterator(...TRUNCATED)
{ "xeon_e5_2695_v2": 2521.149902, "xeon_e5_2680_v4": 149.605 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":2521.149902,"children":[{"id":1,"schedule":"I(L0,L1)","(...TRUNCATED)
function552277
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 6 }
{"memory_size":"257.0","iterators":{"i0":{"lower_bound":"0","upper_bound":"512","parent_iterator":nu(...TRUNCATED)
{ "xeon_e5_2695_v2": 32.258099, "xeon_e5_2680_v4": 23.2018 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":32.258099,"children":[{"id":1,"schedule":"I(L0,L1)","de(...TRUNCATED)
function684979
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 0 }
{"memory_size":"18.050811767578125","iterators":{"i0":{"lower_bound":"1","upper_bound":"1537","paren(...TRUNCATED)
{ "xeon_e5_2695_v2": 10211.900391, "xeon_e5_2680_v4": 13685.9 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":10211.900391,"children":[{"id":1,"schedule":"M(2,1,0,-1(...TRUNCATED)
function745428
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 6 }
{"memory_size":"16.500244140625","iterators":{"i0":{"lower_bound":"0","upper_bound":"64","parent_ite(...TRUNCATED)
{ "xeon_e5_2695_v2": 6.15093, "xeon_e5_2680_v4": 3.54637 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":6.15093,"children":[{"id":1,"schedule":"I(L0,L1)","dept(...TRUNCATED)
function640793
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 4 }
{"memory_size":"9.261749267578125","iterators":{"i0":{"lower_bound":"1","upper_bound":"97","parent_i(...TRUNCATED)
{ "xeon_e5_2695_v2": 6.42414, "xeon_e5_2680_v4": 5.96616 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":6.42414,"children":[{"id":1,"schedule":"M(0,1,0,1,0,0,0(...TRUNCATED)
function730099
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 4 }
{"memory_size":"3.005859375","iterators":{"i0":{"lower_bound":"0","upper_bound":"512","parent_iterat(...TRUNCATED)
{ "xeon_e5_2695_v2": 164.501007, "xeon_e5_2680_v4": 163.885 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:{comp01}:","ISL_AST":"(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":164.501007,"children":[{"id":0,"schedule":"","depth":1,(...TRUNCATED)
function781045
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 6 }
{"memory_size":"2.09375","iterators":{"i0":{"lower_bound":"1","upper_bound":"65","parent_iterator":n(...TRUNCATED)
{ "xeon_e5_2695_v2": 0.294401, "xeon_e5_2680_v4": 0.214985 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":0.294401,"children":[{"id":1,"schedule":"I(L0,L1)","dep(...TRUNCATED)
function677381
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 2, "max_depth": 6 }
{"memory_size":"2.015655517578125","iterators":{"i0":{"lower_bound":"0","upper_bound":"256","parent_(...TRUNCATED)
{ "xeon_e5_2695_v2": 736.703003, "xeon_e5_2680_v4": 586.965 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":736.703003,"children":[{"id":0,"schedule":"","depth":1,(...TRUNCATED)
function640072
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 3, "max_depth": 6 }
{"memory_size":"9.0","iterators":{"i0":{"lower_bound":"0","upper_bound":"256","parent_iterator":null(...TRUNCATED)
{ "xeon_e5_2695_v2": 774.460022, "xeon_e5_2680_v4": 626.206 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"{comp00}:","ISL_AST":"0|iterato(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":774.460022,"children":[{"id":1,"schedule":"I(L0,L1)","d(...TRUNCATED)
function620762
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
{ "beam_size": 3, "max_depth": 3 }
{"memory_size":"0.000675201416015625","iterators":{"i0":{"lower_bound":"0","upper_bound":"5","parent(...TRUNCATED)
{ "xeon_e5_2695_v2": 0.000591, "xeon_e5_2680_v4": 0.000232 }
[{"transformations_list":[],"schedule_str":"","legacy_schedule_str":"","ISL_AST":"0|iterator|c1|0|c1(...TRUNCATED)
{"id":0,"schedule":"","depth":1,"evaluation":0.000591,"children":[{"id":1,"schedule":"F({C0,C1},L1)"(...TRUNCATED)
function1189350
"#include <tiramisu/tiramisu.h> \n#include <tiramisu/auto_scheduler/evaluator.h>\n#include <tiramisu(...TRUNCATED)
End of preview.