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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 7 new columns ({'injectivity_decline_factor', 'channeling_index', 'treatment_type', 'conf_id', 'treatment_effectiveness', 'event_day', 'thief_zone_flag'}) and 7 missing columns ({'connectivity_score', 'breakthrough_time_days', 'post_breakthrough_water_cut_pct', 'event_id', 'water_breakthrough_severity', 'pre_breakthrough_water_cut_pct', 'channeling_suspected_flag'}).
This happened while the csv dataset builder was generating data using
hf://datasets/xpertsystems/oil017-sample/conformance_events.csv (at revision 755d8a2ac9da710500f6e654ebb3c35fdc48e0f7), [/tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/breakthrough_events.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/breakthrough_events.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/conformance_events.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/conformance_events.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/connectivity_matrix.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/connectivity_matrix.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_profiles.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_profiles.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_wells.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_wells.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/producer_response.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/producer_response.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/production_forecasts.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/production_forecasts.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_labels.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_labels.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_pressure.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_pressure.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/sweep_efficiency.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/sweep_efficiency.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/water_quality.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/water_quality.csv)]
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
conf_id: string
injector_id: string
producer_id: string
event_day: int64
thief_zone_flag: int64
channeling_index: double
treatment_type: string
treatment_effectiveness: double
injectivity_decline_factor: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1421
to
{'event_id': Value('string'), 'producer_id': Value('string'), 'injector_id': Value('string'), 'breakthrough_time_days': Value('int64'), 'water_breakthrough_severity': Value('float64'), 'pre_breakthrough_water_cut_pct': Value('float64'), 'post_breakthrough_water_cut_pct': Value('float64'), 'channeling_suspected_flag': Value('int64'), 'connectivity_score': Value('float64')}
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 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 1802, 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 7 new columns ({'injectivity_decline_factor', 'channeling_index', 'treatment_type', 'conf_id', 'treatment_effectiveness', 'event_day', 'thief_zone_flag'}) and 7 missing columns ({'connectivity_score', 'breakthrough_time_days', 'post_breakthrough_water_cut_pct', 'event_id', 'water_breakthrough_severity', 'pre_breakthrough_water_cut_pct', 'channeling_suspected_flag'}).
This happened while the csv dataset builder was generating data using
hf://datasets/xpertsystems/oil017-sample/conformance_events.csv (at revision 755d8a2ac9da710500f6e654ebb3c35fdc48e0f7), [/tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/breakthrough_events.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/breakthrough_events.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/conformance_events.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/conformance_events.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/connectivity_matrix.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/connectivity_matrix.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_profiles.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_profiles.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_wells.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/injection_wells.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/producer_response.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/producer_response.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/production_forecasts.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/production_forecasts.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_labels.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_labels.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_pressure.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/reservoir_pressure.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/sweep_efficiency.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/sweep_efficiency.csv), /tmp/hf-datasets-cache/medium/datasets/95362931768259-config-parquet-and-info-xpertsystems-oil017-sampl-94028ea4/hub/datasets--xpertsystems--oil017-sample/snapshots/755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/water_quality.csv (origin=hf://datasets/xpertsystems/oil017-sample@755d8a2ac9da710500f6e654ebb3c35fdc48e0f7/water_quality.csv)]
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.
event_id string | producer_id string | injector_id string | breakthrough_time_days int64 | water_breakthrough_severity float64 | pre_breakthrough_water_cut_pct float64 | post_breakthrough_water_cut_pct float64 | channeling_suspected_flag int64 | connectivity_score float64 |
|---|---|---|---|---|---|---|---|---|
BTE-000000001 | PROD-0000001 | INJ-000001 | 738 | 0.5113 | 20.71 | 46.29 | 0 | 0.4057 |
BTE-000000002 | PROD-0000002 | INJ-000001 | 457 | 0.8401 | 14.2 | 91.61 | 1 | 0.7136 |
BTE-000000003 | PROD-0000003 | INJ-000001 | 908 | 0.4959 | 19.7 | 63.55 | 0 | 0.3284 |
BTE-000000004 | PROD-0000004 | INJ-000002 | 1,094 | 0.4618 | 15.81 | 60.59 | 0 | 0.4097 |
BTE-000000005 | PROD-0000005 | INJ-000002 | 1,044 | 0.6823 | 17.43 | 79.41 | 0 | 0.5245 |
BTE-000000006 | PROD-0000006 | INJ-000002 | 1,123 | 0.4542 | 10.25 | 67.6 | 0 | 0.0487 |
BTE-000000007 | PROD-0000007 | INJ-000002 | 267 | 0.8211 | 7.13 | 86.16 | 1 | 0.9221 |
BTE-000000008 | PROD-0000008 | INJ-000002 | 1,171 | 0.4606 | 19.5 | 65.61 | 0 | 0.2721 |
BTE-000000009 | PROD-0000009 | INJ-000002 | 967 | 0.5032 | 6.89 | 66.48 | 0 | 0.3924 |
BTE-000000010 | PROD-0000010 | INJ-000003 | 423 | 0.9998 | 14.11 | 92.91 | 1 | 0.98 |
BTE-000000011 | PROD-0000011 | INJ-000003 | 692 | 0.7494 | 11.2 | 85.63 | 1 | 0.6205 |
BTE-000000012 | PROD-0000012 | INJ-000003 | 1,481 | 0.7824 | 20.87 | 82.04 | 1 | 0.4147 |
BTE-000000013 | PROD-0000013 | INJ-000003 | 1,208 | 0.6438 | 5.81 | 64.48 | 0 | 0.5019 |
BTE-000000014 | PROD-0000014 | INJ-000003 | 1,099 | 0.5225 | 5.34 | 73.69 | 0 | 0.2753 |
BTE-000000015 | PROD-0000015 | INJ-000004 | 1,012 | 0.4345 | 17.4 | 63.14 | 0 | 0.1352 |
BTE-000000016 | PROD-0000016 | INJ-000004 | 1,383 | 0.5773 | 23.89 | 61.74 | 0 | 0.4224 |
BTE-000000017 | PROD-0000017 | INJ-000005 | 583 | 0.652 | 8.23 | 72.93 | 0 | 0.6135 |
BTE-000000018 | PROD-0000018 | INJ-000005 | 962 | 0.6163 | 7.15 | 73.46 | 0 | 0.4702 |
BTE-000000019 | PROD-0000019 | INJ-000005 | 447 | 0.9499 | 21.38 | 76.56 | 1 | 0.9322 |
BTE-000000020 | PROD-0000020 | INJ-000005 | 1,545 | 0.5511 | 21.93 | 66.27 | 0 | 0.2869 |
BTE-000000021 | PROD-0000021 | INJ-000005 | 1,350 | 0.4667 | 21.93 | 54.86 | 0 | 0.3651 |
BTE-000000022 | PROD-0000022 | INJ-000005 | 452 | 0.8878 | 20.87 | 80.55 | 1 | 0.7902 |
BTE-000000023 | PROD-0000023 | INJ-000006 | 1,550 | 0.5215 | 20.8 | 63.11 | 0 | 0.2988 |
BTE-000000024 | PROD-0000024 | INJ-000006 | 593 | 0.6743 | 16.93 | 76.2 | 0 | 0.5922 |
BTE-000000025 | PROD-0000025 | INJ-000006 | 1,363 | 0.5622 | 7.74 | 78.09 | 0 | 0.4012 |
BTE-000000026 | PROD-0000026 | INJ-000006 | 954 | 0.631 | 5.68 | 60.71 | 0 | 0.4029 |
BTE-000000027 | PROD-0000027 | INJ-000007 | 771 | 0.3486 | 6.1 | 63.69 | 0 | 0.0563 |
BTE-000000028 | PROD-0000028 | INJ-000007 | 1,502 | 0.5957 | 20.52 | 66.16 | 0 | 0.2932 |
BTE-000000029 | PROD-0000029 | INJ-000007 | 568 | 0.9225 | 6.66 | 89.99 | 1 | 0.5774 |
BTE-000000030 | PROD-0000030 | INJ-000007 | 533 | 0.758 | 24.02 | 84.78 | 1 | 0.6277 |
BTE-000000031 | PROD-0000031 | INJ-000007 | 670 | 0.7847 | 7.95 | 78.28 | 1 | 0.7446 |
BTE-000000032 | PROD-0000032 | INJ-000007 | 631 | 0.5138 | 14.23 | 72.98 | 0 | 0.545 |
BTE-000000033 | PROD-0000033 | INJ-000007 | 961 | 0.431 | 7.64 | 62.33 | 0 | 0.1071 |
BTE-000000034 | PROD-0000034 | INJ-000007 | 1,423 | 0.6527 | 9.26 | 74.03 | 0 | 0.2851 |
BTE-000000035 | PROD-0000035 | INJ-000007 | 631 | 0.7528 | 18.85 | 81.96 | 1 | 0.6125 |
BTE-000000036 | PROD-0000036 | INJ-000008 | 794 | 0.5361 | 18.14 | 70.88 | 0 | 0.2864 |
BTE-000000037 | PROD-0000037 | INJ-000008 | 1,492 | 0.4532 | 5.83 | 67.53 | 0 | 0.1931 |
BTE-000000038 | PROD-0000038 | INJ-000008 | 620 | 0.7578 | 7.75 | 71.63 | 1 | 0.6323 |
BTE-000000039 | PROD-0000039 | INJ-000008 | 1,158 | 0.4386 | 12.97 | 61.79 | 0 | 0.1747 |
BTE-000000040 | PROD-0000040 | INJ-000008 | 691 | 0.5392 | 5.77 | 75.17 | 0 | 0.6483 |
BTE-000000041 | PROD-0000041 | INJ-000008 | 992 | 0.6041 | 13.33 | 74.18 | 0 | 0.4946 |
BTE-000000042 | PROD-0000042 | INJ-000009 | 1,023 | 0.2753 | 22.11 | 53.29 | 0 | 0.1373 |
BTE-000000043 | PROD-0000043 | INJ-000009 | 1,398 | 0.5308 | 17.6 | 70.12 | 0 | 0.3549 |
BTE-000000044 | PROD-0000044 | INJ-000010 | 458 | 0.6863 | 20.57 | 71.12 | 0 | 0.7986 |
BTE-000000045 | PROD-0000045 | INJ-000010 | 1,219 | 0.4495 | 15.56 | 65.85 | 0 | 0.246 |
BTE-000000046 | PROD-0000046 | INJ-000010 | 275 | 0.8336 | 14.47 | 74.55 | 1 | 0.9049 |
BTE-000000047 | PROD-0000047 | INJ-000010 | 1,110 | 0.6338 | 21.49 | 72.06 | 0 | 0.4486 |
BTE-000000048 | PROD-0000048 | INJ-000010 | 944 | 0.4666 | 19.66 | 68.9 | 0 | 0.2924 |
BTE-000000049 | PROD-0000049 | INJ-000010 | 631 | 0.7398 | 9.76 | 79.37 | 1 | 0.6759 |
BTE-000000050 | PROD-0000050 | INJ-000011 | 1,250 | 0.5564 | 22.48 | 59.84 | 0 | 0.2933 |
BTE-000000051 | PROD-0000051 | INJ-000011 | 592 | 0.9203 | 23.34 | 85.23 | 1 | 0.8109 |
BTE-000000052 | PROD-0000052 | INJ-000011 | 1,492 | 0.5387 | 5.34 | 66.86 | 0 | 0.3899 |
BTE-000000053 | PROD-0000053 | INJ-000011 | 938 | 0.5487 | 9.96 | 57.25 | 0 | 0.4274 |
BTE-000000054 | PROD-0000054 | INJ-000011 | 604 | 0.8617 | 8.87 | 78.42 | 1 | 0.7264 |
BTE-000000055 | PROD-0000055 | INJ-000012 | 892 | 0.4257 | 16.67 | 56.47 | 0 | 0.2352 |
BTE-000000056 | PROD-0000056 | INJ-000012 | 676 | 0.7112 | 20.38 | 77.87 | 0 | 0.5807 |
BTE-000000057 | PROD-0000057 | INJ-000012 | 1,264 | 0.4612 | 17.36 | 66.93 | 0 | 0.2807 |
BTE-000000058 | PROD-0000058 | INJ-000013 | 578 | 0.6343 | 23.16 | 67.9 | 0 | 0.635 |
BTE-000000059 | PROD-0000059 | INJ-000013 | 1,548 | 0.7351 | 23.4 | 77.3 | 1 | 0.3497 |
BTE-000000060 | PROD-0000060 | INJ-000013 | 402 | 0.7105 | 20.38 | 91.77 | 0 | 0.6727 |
BTE-000000061 | PROD-0000061 | INJ-000013 | 1,477 | 0.5828 | 6.3 | 77.14 | 0 | 0.3247 |
BTE-000000062 | PROD-0000062 | INJ-000013 | 339 | 1 | 21.56 | 98 | 1 | 0.98 |
BTE-000000063 | PROD-0000063 | INJ-000013 | 1,170 | 0.5563 | 23.53 | 70.17 | 0 | 0.2542 |
BTE-000000064 | PROD-0000064 | INJ-000014 | 440 | 0.8725 | 6.58 | 75.63 | 1 | 0.819 |
BTE-000000065 | PROD-0000065 | INJ-000014 | 1,097 | 0.4672 | 14.42 | 68.2 | 0 | 0.2235 |
BTE-000000066 | PROD-0000066 | INJ-000014 | 836 | 0.7011 | 17.12 | 74.67 | 0 | 0.5405 |
BTE-000000067 | PROD-0000067 | INJ-000014 | 970 | 0.2875 | 13.89 | 47.1 | 0 | 0.2019 |
BTE-000000068 | PROD-0000068 | INJ-000014 | 945 | 0.7314 | 23.93 | 82.4 | 1 | 0.436 |
BTE-000000069 | PROD-0000069 | INJ-000014 | 1,223 | 0.5809 | 10.57 | 59.6 | 0 | 0.2652 |
BTE-000000070 | PROD-0000070 | INJ-000015 | 406 | 0.7688 | 14.67 | 79.62 | 1 | 0.6434 |
BTE-000000071 | PROD-0000071 | INJ-000015 | 869 | 0.7087 | 13.77 | 74.81 | 0 | 0.5303 |
BTE-000000072 | PROD-0000072 | INJ-000015 | 1,226 | 0.4058 | 13.11 | 53.81 | 0 | 0.1821 |
BTE-000000073 | PROD-0000073 | INJ-000016 | 511 | 0.8479 | 19.22 | 79.44 | 1 | 0.8058 |
BTE-000000074 | PROD-0000074 | INJ-000016 | 615 | 0.6383 | 6.52 | 68.1 | 0 | 0.5275 |
BTE-000000075 | PROD-0000075 | INJ-000016 | 1,157 | 0.3421 | 11.81 | 66.31 | 0 | 0.0484 |
BTE-000000076 | PROD-0000076 | INJ-000017 | 437 | 0.8634 | 18.14 | 85.65 | 1 | 0.8711 |
BTE-000000077 | PROD-0000077 | INJ-000017 | 1,028 | 0.2585 | 21.26 | 56.99 | 0 | 0.0592 |
BTE-000000078 | PROD-0000078 | INJ-000017 | 1,333 | 0.2646 | 7.66 | 55.26 | 0 | 0.1475 |
BTE-000000079 | PROD-0000079 | INJ-000017 | 741 | 0.7405 | 16.74 | 71.88 | 1 | 0.6544 |
BTE-000000080 | PROD-0000080 | INJ-000017 | 1,429 | 0.4583 | 14.75 | 58.09 | 0 | 0.2187 |
BTE-000000081 | PROD-0000081 | INJ-000017 | 1,299 | 0.5307 | 10.17 | 66.45 | 0 | 0.2889 |
BTE-000000082 | PROD-0000082 | INJ-000018 | 648 | 0.7244 | 14.53 | 69.82 | 1 | 0.642 |
BTE-000000083 | PROD-0000083 | INJ-000018 | 641 | 0.7202 | 8.07 | 76.44 | 1 | 0.5068 |
BTE-000000084 | PROD-0000084 | INJ-000018 | 1,208 | 0.4661 | 16.86 | 62.27 | 0 | 0.2848 |
BTE-000000085 | PROD-0000085 | INJ-000018 | 600 | 0.7036 | 16.33 | 71.98 | 0 | 0.7059 |
BTE-000000086 | PROD-0000086 | INJ-000019 | 1,425 | 0.3829 | 9.56 | 59.86 | 0 | 0.2011 |
BTE-000000087 | PROD-0000087 | INJ-000019 | 1,125 | 0.5664 | 23.6 | 57.42 | 0 | 0.4198 |
BTE-000000088 | PROD-0000088 | INJ-000019 | 610 | 0.6895 | 19.27 | 72.13 | 0 | 0.5464 |
BTE-000000089 | PROD-0000089 | INJ-000020 | 1,360 | 0.732 | 19.94 | 73.98 | 1 | 0.3663 |
BTE-000000090 | PROD-0000090 | INJ-000020 | 1,012 | 0.6687 | 10.82 | 69.56 | 0 | 0.512 |
BTE-000000091 | PROD-0000091 | INJ-000020 | 678 | 0.7385 | 24.06 | 78.21 | 1 | 0.4906 |
BTE-000000092 | PROD-0000092 | INJ-000021 | 910 | 0.5165 | 13.41 | 66.75 | 0 | 0.3831 |
BTE-000000093 | PROD-0000093 | INJ-000021 | 1,036 | 0.3774 | 13.21 | 59.07 | 0 | 0.2507 |
BTE-000000094 | PROD-0000094 | INJ-000021 | 646 | 0.7496 | 22.04 | 81.97 | 1 | 0.6675 |
BTE-000000095 | PROD-0000095 | INJ-000021 | 1,427 | 0.449 | 7.11 | 67.26 | 0 | 0.1518 |
BTE-000000096 | PROD-0000096 | INJ-000021 | 357 | 0.6871 | 22.82 | 81.24 | 0 | 0.605 |
BTE-000000097 | PROD-0000097 | INJ-000022 | 930 | 0.3593 | 17.06 | 51.46 | 0 | 0.2912 |
BTE-000000098 | PROD-0000098 | INJ-000022 | 424 | 0.8766 | 13.48 | 93.19 | 1 | 0.9699 |
BTE-000000099 | PROD-0000099 | INJ-000022 | 867 | 0.4399 | 21.25 | 59.03 | 0 | 0.5396 |
BTE-000000100 | PROD-0000100 | INJ-000022 | 545 | 0.5524 | 15.54 | 70.52 | 0 | 0.4577 |
End of preview.