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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 12 new columns ({'time_stats.send_recv.max', 'max_devices_per_node', 'rank', 'Unnamed: 0', 'time_stats.send_recv.mean', 'devices_per_node', 'time_stats.send_recv.min', 'num_workers', 'time_stats.send_recv.median', 'collective', 'size', 'time_stats.send_recv.std'}) and 50 missing columns ({'time_stats.attn_decode.mean', 'prefill_chunk_size', 'time_stats.attn_prefill_qkv_reshape.max', 'n_kv_head', 'time_stats.attn_prefill_kv_cache_prep.max', 'time_stats.attn_prefill.mean', 'time_stats.attn_decode.min', 'time_stats.attn_prefill_qkv_reshape.min', 'time_stats.attn_rope.max', 'time_stats.attn_kv_cache_swap.std', 'time_stats.attn_rope.std', 'time_stats.attn_rope.median', 'time_stats.attn_kv_cache_save.max', 'time_stats.attn_kv_cache_swap.mean', 'time_stats.attn_prefill_output_reshape_copy.std', 'time_stats.attn_prefill_kv_cache_prep.mean', 'time_stats.attn_decode.median', 'time_stats.attn_prefill.max', 'time_stats.attn_prefill_kv_cache_prep.min', 'is_prefill', 'num_tensor_parallel_workers', 'time_stats.attn_prefill.median', 'time_stats.attn_prefill_qkv_reshape.mean', 'max_model_len', 'time_stats.attn_prefill.std', 'block_size', 'time_stats.attn_prefill_qkv_reshape.median', 'time_stats.attn_kv_cache_swap.max', 'n_embd', 'time_stats.attn_kv_cache_save.mean', 'batch_size', 'time_stats.attn_kv_cache_swap.median', 'time_stats.attn_decode.max', 'kv_cache_size', 'time_stats.attn_kv_cache_save.min', 'time_stats.attn_prefill.min', 'time_stats.attn_prefill_output_reshape_copy.max', 'time_stats.attn_prefill_output_reshape_copy.median', 'n_q_head', 'time_stats.attn_rope.min', 'time_stats.attn_prefill_kv_cache_prep.median', 'time_stats.attn_kv_cache_swap.min', 'time_stats.attn_kv_cache_save.median', 'time_stats.attn_decode.std', 'time_stats.attn_kv_cache_save.std', 'time_stats.attn_prefill_qkv_reshape.std', 'time_stats.attn_prefill_output_reshape_copy.mean', 'time_stats.attn_prefill_kv_cache_prep.std', 'time_stats.attn_prefill_output_reshape_copy.min', 'time_stats.attn_rope.mean'}).
This happened while the csv dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/61249676020605-config-parquet-and-info-project-vajra-dev-staging-c641ffc2/hub/datasets--project-vajra--dev-staging-a40-pairwise-nvlink/snapshots/b92ae7062e50fec392cf615fafbb9f9822d2cd4d/send_recv.csv.xz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Unnamed: 0: int64
time_stats.send_recv.min: double
time_stats.send_recv.max: double
time_stats.send_recv.mean: double
time_stats.send_recv.median: double
time_stats.send_recv.std: double
rank: int64
num_workers: int64
size: int64
collective: string
devices_per_node: int64
max_devices_per_node: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1847
to
{'time_stats.attn_rope.min': Value(dtype='float64', id=None), 'time_stats.attn_rope.max': Value(dtype='float64', id=None), 'time_stats.attn_rope.mean': Value(dtype='float64', id=None), 'time_stats.attn_rope.median': Value(dtype='float64', id=None), 'time_stats.attn_rope.std': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_swap.min': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_swap.max': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_swap.mean': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_swap.median': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_swap.std': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_save.min': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_save.max': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_save.mean': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_save.median': Value(dtype='float64', id=None), 'time_stats.attn_kv_cache_save.std': Value(dtype='float64', id=None), 'time_stats.attn_decode.min': Value(dtype='float64', id=None), 'time_stats.attn_decode.max': Value(dtype='float64', id=None), 'time_stats.attn_decode.mean': Value(dtype='float64', id=None), 'time_stats.attn_decode.median': Value(dtype='float64', id=None), 'time_stats.attn_decode.std': Value(dtype='float64', id=None), 'time_stats.attn_prefill_kv_cache_prep.min': Value(dtype='float64', id=None), 'time_stats.attn_prefill_kv_cache_prep.max': Value(dtype='float64', id=None), 'time_s
...
_reshape.max': Value(dtype='float64', id=None), 'time_stats.attn_prefill_qkv_reshape.mean': Value(dtype='float64', id=None), 'time_stats.attn_prefill_qkv_reshape.median': Value(dtype='float64', id=None), 'time_stats.attn_prefill_qkv_reshape.std': Value(dtype='float64', id=None), 'time_stats.attn_prefill.min': Value(dtype='float64', id=None), 'time_stats.attn_prefill.max': Value(dtype='float64', id=None), 'time_stats.attn_prefill.mean': Value(dtype='float64', id=None), 'time_stats.attn_prefill.median': Value(dtype='float64', id=None), 'time_stats.attn_prefill.std': Value(dtype='float64', id=None), 'time_stats.attn_prefill_output_reshape_copy.min': Value(dtype='float64', id=None), 'time_stats.attn_prefill_output_reshape_copy.max': Value(dtype='float64', id=None), 'time_stats.attn_prefill_output_reshape_copy.mean': Value(dtype='float64', id=None), 'time_stats.attn_prefill_output_reshape_copy.median': Value(dtype='float64', id=None), 'time_stats.attn_prefill_output_reshape_copy.std': Value(dtype='float64', id=None), 'n_embd': Value(dtype='int64', id=None), 'n_q_head': Value(dtype='int64', id=None), 'n_kv_head': Value(dtype='int64', id=None), 'block_size': Value(dtype='int64', id=None), 'num_tensor_parallel_workers': Value(dtype='int64', id=None), 'max_model_len': Value(dtype='int64', id=None), 'batch_size': Value(dtype='int64', id=None), 'prefill_chunk_size': Value(dtype='int64', id=None), 'kv_cache_size': Value(dtype='int64', id=None), 'is_prefill': Value(dtype='bool', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1420, 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 1052, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 12 new columns ({'time_stats.send_recv.max', 'max_devices_per_node', 'rank', 'Unnamed: 0', 'time_stats.send_recv.mean', 'devices_per_node', 'time_stats.send_recv.min', 'num_workers', 'time_stats.send_recv.median', 'collective', 'size', 'time_stats.send_recv.std'}) and 50 missing columns ({'time_stats.attn_decode.mean', 'prefill_chunk_size', 'time_stats.attn_prefill_qkv_reshape.max', 'n_kv_head', 'time_stats.attn_prefill_kv_cache_prep.max', 'time_stats.attn_prefill.mean', 'time_stats.attn_decode.min', 'time_stats.attn_prefill_qkv_reshape.min', 'time_stats.attn_rope.max', 'time_stats.attn_kv_cache_swap.std', 'time_stats.attn_rope.std', 'time_stats.attn_rope.median', 'time_stats.attn_kv_cache_save.max', 'time_stats.attn_kv_cache_swap.mean', 'time_stats.attn_prefill_output_reshape_copy.std', 'time_stats.attn_prefill_kv_cache_prep.mean', 'time_stats.attn_decode.median', 'time_stats.attn_prefill.max', 'time_stats.attn_prefill_kv_cache_prep.min', 'is_prefill', 'num_tensor_parallel_workers', 'time_stats.attn_prefill.median', 'time_stats.attn_prefill_qkv_reshape.mean', 'max_model_len', 'time_stats.attn_prefill.std', 'block_size', 'time_stats.attn_prefill_qkv_reshape.median', 'time_stats.attn_kv_cache_swap.max', 'n_embd', 'time_stats.attn_kv_cache_save.mean', 'batch_size', 'time_stats.attn_kv_cache_swap.median', 'time_stats.attn_decode.max', 'kv_cache_size', 'time_stats.attn_kv_cache_save.min', 'time_stats.attn_prefill.min', 'time_stats.attn_prefill_output_reshape_copy.max', 'time_stats.attn_prefill_output_reshape_copy.median', 'n_q_head', 'time_stats.attn_rope.min', 'time_stats.attn_prefill_kv_cache_prep.median', 'time_stats.attn_kv_cache_swap.min', 'time_stats.attn_kv_cache_save.median', 'time_stats.attn_decode.std', 'time_stats.attn_kv_cache_save.std', 'time_stats.attn_prefill_qkv_reshape.std', 'time_stats.attn_prefill_output_reshape_copy.mean', 'time_stats.attn_prefill_kv_cache_prep.std', 'time_stats.attn_prefill_output_reshape_copy.min', 'time_stats.attn_rope.mean'}).
This happened while the csv dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/61249676020605-config-parquet-and-info-project-vajra-dev-staging-c641ffc2/hub/datasets--project-vajra--dev-staging-a40-pairwise-nvlink/snapshots/b92ae7062e50fec392cf615fafbb9f9822d2cd4d/send_recv.csv.xz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
time_stats.attn_rope.min float64 | time_stats.attn_rope.max float64 | time_stats.attn_rope.mean float64 | time_stats.attn_rope.median float64 | time_stats.attn_rope.std float64 | time_stats.attn_kv_cache_swap.min float64 | time_stats.attn_kv_cache_swap.max float64 | time_stats.attn_kv_cache_swap.mean float64 | time_stats.attn_kv_cache_swap.median float64 | time_stats.attn_kv_cache_swap.std float64 | time_stats.attn_kv_cache_save.min float64 | time_stats.attn_kv_cache_save.max float64 | time_stats.attn_kv_cache_save.mean float64 | time_stats.attn_kv_cache_save.median float64 | time_stats.attn_kv_cache_save.std float64 | time_stats.attn_decode.min float64 | time_stats.attn_decode.max float64 | time_stats.attn_decode.mean float64 | time_stats.attn_decode.median float64 | time_stats.attn_decode.std float64 | time_stats.attn_prefill_kv_cache_prep.min null | time_stats.attn_prefill_kv_cache_prep.max null | time_stats.attn_prefill_kv_cache_prep.mean null | time_stats.attn_prefill_kv_cache_prep.median null | time_stats.attn_prefill_kv_cache_prep.std null | time_stats.attn_prefill_qkv_reshape.min null | time_stats.attn_prefill_qkv_reshape.max null | time_stats.attn_prefill_qkv_reshape.mean null | time_stats.attn_prefill_qkv_reshape.median null | time_stats.attn_prefill_qkv_reshape.std null | time_stats.attn_prefill.min null | time_stats.attn_prefill.max null | time_stats.attn_prefill.mean null | time_stats.attn_prefill.median null | time_stats.attn_prefill.std null | time_stats.attn_prefill_output_reshape_copy.min null | time_stats.attn_prefill_output_reshape_copy.max null | time_stats.attn_prefill_output_reshape_copy.mean null | time_stats.attn_prefill_output_reshape_copy.median null | time_stats.attn_prefill_output_reshape_copy.std null | n_embd int64 | n_q_head int64 | n_kv_head int64 | block_size int64 | num_tensor_parallel_workers int64 | max_model_len int64 | batch_size int64 | prefill_chunk_size int64 | kv_cache_size int64 | is_prefill bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.002 | 0.003 | 0.0026 | 0.003 | 0.00049 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | 0.007 | 0.007 | 0.007 | 0.007 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 1 | 0 | 64 | false |
0.002 | 0.002 | 0.002 | 0.002 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | 0.007 | 0.007 | 0.007 | 0.007 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 2 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.005 | 0.0042 | 0.004 | 0.0004 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 3 | 0 | 64 | false |
0.002 | 0.002 | 0.002 | 0.002 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 4 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004 | 0.004 | 0.004 | 0.004 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 5 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.005 | 0.005 | 0.005 | 0 | 0.009 | 0.009 | 0.009 | 0.009 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 6 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.005 | 0.005 | 0.005 | 0 | 0.01 | 0.01 | 0.01 | 0.01 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 7 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.005 | 0.005 | 0.005 | 0 | 0.011 | 0.012 | 0.0112 | 0.011 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 8 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.006 | 0.0058 | 0.006 | 0.0004 | 0.016 | 0.017 | 0.0162 | 0.016 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 9 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.019 | 0.019 | 0.019 | 0.019 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 10 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.006 | 0.0058 | 0.006 | 0.0004 | 0.02 | 0.021 | 0.0208 | 0.021 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 11 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.021 | 0.022 | 0.0212 | 0.021 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 12 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.023 | 0.025 | 0.0242 | 0.024 | 0.000748 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 13 | 0 | 64 | false |
0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.025 | 0.025 | 0.025 | 0.025 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 14 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.027 | 0.027 | 0.027 | 0.027 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 15 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006 | 0.006 | 0.006 | 0.006 | 0 | 0.026 | 0.027 | 0.0268 | 0.027 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 16 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.008 | 0.0078 | 0.008 | 0.0004 | 0.029 | 0.03 | 0.0292 | 0.029 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 17 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.031 | 0.031 | 0.031 | 0.031 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 18 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.008 | 0.0078 | 0.008 | 0.0004 | 0.032 | 0.032 | 0.032 | 0.032 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 19 | 0 | 64 | false |
0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.009 | 0.0078 | 0.008 | 0.000748 | 0.032 | 0.033 | 0.0328 | 0.033 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 20 | 0 | 64 | false |
0.003 | 0.004 | 0.0032 | 0.003 | 0.0004 | 0 | 0 | 0 | 0 | 0 | 0.008 | 0.008 | 0.008 | 0.008 | 0 | 0.034 | 0.034 | 0.034 | 0.034 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 21 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.008 | 0.0074 | 0.007 | 0.00049 | 0.036 | 0.037 | 0.0368 | 0.037 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 22 | 0 | 64 | false |
0.003 | 0.004 | 0.0034 | 0.003 | 0.00049 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.008 | 0.0078 | 0.008 | 0.0004 | 0.037 | 0.037 | 0.037 | 0.037 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 23 | 0 | 64 | false |
0.003 | 0.003 | 0.003 | 0.003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007 | 0.008 | 0.0072 | 0.007 | 0.0004 | 0.038 | 0.038 | 0.038 | 0.038 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 24 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01 | 0.01 | 0.01 | 0.01 | 0 | 0.04 | 0.041 | 0.0404 | 0.04 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 25 | 0 | 64 | false |
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0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.034 | 0.0332 | 0.033 | 0.0004 | 0.106 | 0.107 | 0.1066 | 0.107 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 82 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.034 | 0.0332 | 0.033 | 0.0004 | 0.107 | 0.108 | 0.1076 | 0.108 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 83 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.035 | 0.0334 | 0.033 | 0.0008 | 0.108 | 0.109 | 0.1084 | 0.108 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 84 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.034 | 0.0336 | 0.034 | 0.00049 | 0.109 | 0.11 | 0.1098 | 0.11 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 85 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.036 | 0.0342 | 0.034 | 0.00098 | 0.111 | 0.111 | 0.111 | 0.111 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 86 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033 | 0.034 | 0.0338 | 0.034 | 0.0004 | 0.112 | 0.112 | 0.112 | 0.112 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 87 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034 | 0.035 | 0.0342 | 0.034 | 0.0004 | 0.112 | 0.113 | 0.1128 | 0.113 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 88 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 0.037 | 0.0368 | 0.037 | 0.0004 | 0.115 | 0.115 | 0.115 | 0.115 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 89 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037 | 0.038 | 0.0374 | 0.037 | 0.00049 | 0.116 | 0.116 | 0.116 | 0.116 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 90 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 0.037 | 0.0364 | 0.036 | 0.00049 | 0.117 | 0.118 | 0.1172 | 0.117 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 91 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 0.036 | 0.036 | 0.036 | 0 | 0.118 | 0.118 | 0.118 | 0.118 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 92 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037 | 0.039 | 0.0376 | 0.037 | 0.0008 | 0.119 | 0.12 | 0.1196 | 0.12 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 93 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035 | 0.037 | 0.036 | 0.036 | 0.000632 | 0.12 | 0.121 | 0.1202 | 0.12 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 94 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037 | 0.038 | 0.0372 | 0.037 | 0.0004 | 0.122 | 0.122 | 0.122 | 0.122 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 95 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036 | 0.038 | 0.037 | 0.037 | 0.000632 | 0.122 | 0.123 | 0.1222 | 0.122 | 0.0004 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 96 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0.042 | 0.041 | 0.041 | 0.000632 | 0.124 | 0.125 | 0.1244 | 0.124 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 97 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0.041 | 0.0404 | 0.04 | 0.00049 | 0.125 | 0.126 | 0.1256 | 0.126 | 0.00049 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 98 | 0 | 64 | false |
0.004 | 0.004 | 0.004 | 0.004 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039 | 0.041 | 0.04 | 0.04 | 0.000632 | 0.126 | 0.126 | 0.126 | 0.126 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 2,560 | 32 | 32 | 16 | 1 | 4,096 | 99 | 0 | 64 | false |
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