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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 6 new columns ({'rankme_auc', 'run', 'sigreg_auc_x100', 'dormant_mlp_auc', 'dormant_all_auc', 'acc_auc'}) and 12 missing columns ({'proj_excess_kurt', 'probe_sigreg', 'train_acc', 'epoch', 'top_eig_share', 'train_sigreg', 'epoch_time_s', 'rankme', 'dormant_cnn', 'dormant_all', 'dormant_mlp', 'proj_abs_skew'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ProCreations/isogaussian-drl-repro/claim5_gpu/grid_summary.csv (at revision 6fc24d1acb0f8c05671029a0e9b95673e949944e), ['hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/grid_summary.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
run: string
acc_auc: double
sigreg_auc_x100: double
rankme_auc: double
dormant_mlp_auc: double
dormant_all_auc: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1013
to
{'epoch': Value('int64'), 'train_acc': Value('float64'), 'train_sigreg': Value('float64'), 'probe_sigreg': Value('float64'), 'rankme': Value('float64'), 'dormant_mlp': Value('float64'), 'dormant_cnn': Value('float64'), 'dormant_all': Value('float64'), 'proj_abs_skew': Value('float64'), 'proj_excess_kurt': Value('float64'), 'top_eig_share': Value('float64'), 'epoch_time_s': 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 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 1683, 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 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 6 new columns ({'rankme_auc', 'run', 'sigreg_auc_x100', 'dormant_mlp_auc', 'dormant_all_auc', 'acc_auc'}) and 12 missing columns ({'proj_excess_kurt', 'probe_sigreg', 'train_acc', 'epoch', 'top_eig_share', 'train_sigreg', 'epoch_time_s', 'rankme', 'dormant_cnn', 'dormant_all', 'dormant_mlp', 'proj_abs_skew'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ProCreations/isogaussian-drl-repro/claim5_gpu/grid_summary.csv (at revision 6fc24d1acb0f8c05671029a0e9b95673e949944e), ['hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_adam_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_kron_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam0.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam0.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam1.0_seed0.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/cifar_radam_lam1.0_seed1.csv', 'hf://datasets/ProCreations/isogaussian-drl-repro@6fc24d1acb0f8c05671029a0e9b95673e949944e/claim5_gpu/grid_summary.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.
epoch int64 | train_acc float64 | train_sigreg float64 | probe_sigreg float64 | rankme float64 | dormant_mlp float64 | dormant_cnn float64 | dormant_all float64 | proj_abs_skew float64 | proj_excess_kurt float64 | top_eig_share float64 | epoch_time_s float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0.2224 | 0.507567 | 0.333833 | 2.175197 | 0.116618 | 0 | 0.066639 | 0.598902 | -0.203653 | 0.798219 | 2.638142 |
1 | 0.3527 | 0.288504 | 0.216709 | 3.303728 | 0.064535 | 0 | 0.036877 | 0.366235 | -0.701737 | 0.649356 | 2.134012 |
2 | 0.4229 | 0.229308 | 0.177645 | 3.9713 | 0.054443 | 0 | 0.03111 | 0.240369 | -0.82881 | 0.577156 | 2.130069 |
3 | 0.4819 | 0.20766 | 0.205489 | 3.872422 | 0.063395 | 0 | 0.036226 | 0.401528 | -0.438655 | 0.605377 | 2.126356 |
4 | 0.5111 | 0.188045 | 0.144897 | 4.193355 | 0.05013 | 0 | 0.028646 | 0.356737 | -0.607288 | 0.586854 | 2.12261 |
5 | 0.5411 | 0.176666 | 0.139528 | 4.755659 | 0.047445 | 0 | 0.027111 | 0.330822 | -0.590993 | 0.535979 | 2.127597 |
6 | 0.5893 | 0.16362 | 0.161299 | 4.925648 | 0.049805 | 0 | 0.02846 | 0.286874 | -0.561775 | 0.54459 | 2.129374 |
7 | 0.6244 | 0.160154 | 0.13597 | 5.018665 | 0.048258 | 0 | 0.027576 | 0.397 | -0.466797 | 0.549684 | 2.122719 |
8 | 0.6552 | 0.150494 | 0.138003 | 4.976571 | 0.050049 | 0 | 0.028599 | 0.288519 | -0.461353 | 0.550394 | 2.126856 |
9 | 0.6744 | 0.141807 | 0.110324 | 5.021777 | 0.049479 | 0 | 0.028274 | 0.433985 | -0.395831 | 0.537757 | 2.121278 |
10 | 0.7122 | 0.140394 | 0.09319 | 5.738037 | 0.045166 | 0.001302 | 0.026367 | 0.352416 | -0.501455 | 0.495437 | 2.142125 |
11 | 0.7431 | 0.125939 | 0.120827 | 5.789759 | 0.04012 | 0.001302 | 0.023484 | 0.40296 | -0.324053 | 0.505126 | 2.141495 |
12 | 0.7629 | 0.119851 | 0.095624 | 6.716982 | 0.035807 | 0 | 0.020461 | 0.27349 | -0.660419 | 0.452024 | 2.143241 |
13 | 0.7979 | 0.112573 | 0.084059 | 7.078118 | 0.036458 | 0.001302 | 0.021391 | 0.350757 | -0.462601 | 0.449561 | 2.130788 |
14 | 0.8192 | 0.103683 | 0.10217 | 7.100767 | 0.04012 | 0.001302 | 0.023484 | 0.284645 | -0.506642 | 0.432388 | 2.151694 |
15 | 0.8362 | 0.10561 | 0.086393 | 7.090109 | 0.04362 | 0.001302 | 0.025484 | 0.362121 | -0.428551 | 0.439244 | 2.139048 |
16 | 0.8762 | 0.097137 | 0.096417 | 8.086158 | 0.030924 | 0 | 0.017671 | 0.438491 | -0.396185 | 0.399984 | 2.138102 |
17 | 0.8835 | 0.094327 | 0.073704 | 8.338857 | 0.031657 | 0 | 0.01809 | 0.347989 | -0.471069 | 0.387366 | 2.137468 |
18 | 0.8643 | 0.100377 | 0.095475 | 8.170776 | 0.037109 | 0 | 0.021205 | 0.380023 | -0.500046 | 0.395591 | 2.129237 |
19 | 0.8846 | 0.095353 | 0.107906 | 8.185259 | 0.037516 | 0.001302 | 0.021996 | 0.349973 | -0.465534 | 0.39293 | 2.138597 |
20 | 0.1014 | 0.716004 | 0.799702 | 1.007169 | 0.350423 | 0.001302 | 0.2008 | 0.401734 | -0.016262 | 0.999993 | 2.145322 |
21 | 0.0949 | 0.786454 | 0.806992 | 1.007157 | 0.354085 | 0.001302 | 0.202892 | 0.396604 | 0.034571 | 0.999994 | 2.140193 |
22 | 0.1013 | 0.78238 | 0.749279 | 1.007157 | 0.353923 | 0.001302 | 0.202799 | 0.412713 | 0.017214 | 0.999994 | 2.128144 |
23 | 0.1022 | 0.780966 | 0.786893 | 1.007159 | 0.353516 | 0.001302 | 0.202567 | 0.408304 | -0.000521 | 0.999994 | 2.12775 |
24 | 0.0995 | 0.784143 | 0.773138 | 1.007161 | 0.354085 | 0.001302 | 0.202892 | 0.453874 | 0.058727 | 0.999994 | 2.150604 |
25 | 0.103 | 0.78143 | 0.795125 | 1.007162 | 0.353841 | 0.001302 | 0.202753 | 0.399773 | -0.063244 | 0.999994 | 2.152179 |
26 | 0.1064 | 0.779655 | 0.784686 | 1.007163 | 0.353434 | 0.001302 | 0.20252 | 0.390221 | -0.087739 | 0.999994 | 2.140084 |
27 | 0.1015 | 0.778925 | 0.797435 | 1.007166 | 0.351807 | 0.001302 | 0.20159 | 0.407981 | -0.022987 | 0.999994 | 2.133237 |
28 | 0.1004 | 0.776098 | 0.783114 | 1.007169 | 0.35083 | 0.001302 | 0.201032 | 0.438547 | 0.037269 | 0.999993 | 2.14286 |
29 | 0.107 | 0.776857 | 0.757325 | 1.00717 | 0.350993 | 0.001302 | 0.201125 | 0.411207 | -0.038929 | 0.999993 | 2.140528 |
30 | 0.1021 | 0.780178 | 0.770236 | 1.007173 | 0.350016 | 0.001302 | 0.200567 | 0.395501 | -0.135666 | 0.999993 | 2.149857 |
31 | 0.0984 | 0.777286 | 0.786825 | 1.007174 | 0.350098 | 0.001302 | 0.200614 | 0.381886 | -0.154947 | 0.999993 | 2.143439 |
32 | 0.1063 | 0.777748 | 0.741093 | 1.007177 | 0.350016 | 0.001302 | 0.200567 | 0.43629 | -0.05553 | 0.999993 | 2.132813 |
33 | 0.1021 | 0.775296 | 0.772489 | 1.007178 | 0.348389 | 0.001302 | 0.199637 | 0.404827 | -0.076707 | 0.999993 | 2.140106 |
34 | 0.0991 | 0.776119 | 0.785828 | 1.007183 | 0.348145 | 0.001302 | 0.199498 | 0.465088 | -0.032047 | 0.999992 | 2.151241 |
35 | 0.1047 | 0.776984 | 0.78529 | 1.007185 | 0.347331 | 0.001302 | 0.199033 | 0.402743 | -0.181797 | 0.999992 | 2.147858 |
36 | 0.1016 | 0.775751 | 0.753245 | 1.007189 | 0.346354 | 0.001302 | 0.198475 | 0.38841 | -0.058054 | 0.999992 | 2.143339 |
37 | 0.0971 | 0.775578 | 0.807159 | 1.007198 | 0.343669 | 0.001302 | 0.19694 | 0.445095 | -0.157355 | 0.999991 | 2.151693 |
38 | 0.0995 | 0.773733 | 0.763999 | 1.007204 | 0.343262 | 0.001302 | 0.196708 | 0.38968 | -0.151054 | 0.99999 | 2.147919 |
39 | 0.1014 | 0.771701 | 0.782826 | 1.007207 | 0.342611 | 0.001302 | 0.196336 | 0.418946 | -0.133667 | 0.99999 | 2.159216 |
40 | 0.1019 | 0.768404 | 0.772839 | 1.007206 | 0.342855 | 0.001302 | 0.196475 | 0.360723 | -0.226371 | 0.99999 | 2.155153 |
41 | 0.0984 | 0.769483 | 0.764915 | 1.007202 | 0.342692 | 0.001302 | 0.196382 | 0.347257 | -0.159463 | 0.999991 | 2.141678 |
42 | 0.0985 | 0.770881 | 0.768642 | 1.007197 | 0.342936 | 0.001302 | 0.196522 | 0.428423 | -0.127355 | 0.999991 | 2.153023 |
43 | 0.0975 | 0.769721 | 0.756219 | 1.007194 | 0.343099 | 0.001302 | 0.196615 | 0.412783 | -0.148737 | 0.999991 | 2.156269 |
44 | 0.102 | 0.770971 | 0.748119 | 1.007193 | 0.342448 | 0.001302 | 0.196243 | 0.400065 | -0.139348 | 0.999991 | 2.150429 |
45 | 0.1004 | 0.769662 | 0.763402 | 1.007194 | 0.342936 | 0.001302 | 0.196522 | 0.389026 | -0.17929 | 0.999991 | 2.15116 |
46 | 0.0977 | 0.76562 | 0.78403 | 1.007193 | 0.342285 | 0.001302 | 0.19615 | 0.367235 | -0.233521 | 0.999991 | 2.135457 |
47 | 0.1017 | 0.768982 | 0.75423 | 1.007192 | 0.342041 | 0.001302 | 0.19601 | 0.381024 | -0.168209 | 0.999991 | 2.154622 |
48 | 0.0985 | 0.764098 | 0.771189 | 1.007191 | 0.341634 | 0.001302 | 0.195778 | 0.377386 | -0.164427 | 0.999992 | 2.16563 |
49 | 0.096 | 0.767623 | 0.765324 | 1.007188 | 0.342204 | 0.001302 | 0.196103 | 0.397682 | -0.14411 | 0.999992 | 2.145222 |
50 | 0.1019 | 0.766245 | 0.782228 | 1.007188 | 0.340007 | 0.001302 | 0.194847 | 0.342693 | -0.175052 | 0.999992 | 2.148566 |
51 | 0.0988 | 0.768392 | 0.78145 | 1.007189 | 0.339193 | 0.001302 | 0.194382 | 0.363684 | -0.139667 | 0.999992 | 2.145799 |
52 | 0.1027 | 0.768292 | 0.760102 | 1.007192 | 0.339193 | 0.001302 | 0.194382 | 0.383471 | -0.230833 | 0.999991 | 2.148559 |
53 | 0.1025 | 0.770111 | 0.782562 | 1.007197 | 0.338379 | 0.001302 | 0.193917 | 0.362522 | -0.171246 | 0.999991 | 2.164095 |
54 | 0.1042 | 0.762756 | 0.759102 | 1.007197 | 0.338949 | 0.001302 | 0.194243 | 0.34337 | -0.222726 | 0.999991 | 2.162579 |
55 | 0.0994 | 0.764278 | 0.777253 | 1.007202 | 0.337728 | 0.001302 | 0.193545 | 0.351272 | -0.225221 | 0.999991 | 2.163788 |
56 | 0.0978 | 0.765497 | 0.753388 | 1.007203 | 0.339193 | 0.001302 | 0.194382 | 0.328765 | -0.266076 | 0.999991 | 2.148388 |
57 | 0.0995 | 0.764827 | 0.766895 | 1.007208 | 0.338216 | 0.001302 | 0.193824 | 0.399563 | -0.084804 | 0.99999 | 2.156225 |
58 | 0.0976 | 0.766516 | 0.74642 | 1.007214 | 0.33724 | 0.001302 | 0.193266 | 0.332393 | -0.314708 | 0.99999 | 2.143572 |
59 | 0.1049 | 0.764458 | 0.75263 | 1.007217 | 0.336507 | 0.001302 | 0.192848 | 0.264375 | -0.31138 | 0.999989 | 2.156418 |
60 | 0.102 | 0.76181 | 0.762049 | 1.007221 | 0.335368 | 0.001302 | 0.192197 | 0.301013 | -0.330055 | 0.999989 | 2.145827 |
61 | 0.1027 | 0.763364 | 0.755287 | 1.007225 | 0.334961 | 0.001302 | 0.191964 | 0.296147 | -0.352199 | 0.999989 | 2.14915 |
62 | 0.0939 | 0.758097 | 0.747024 | 1.007221 | 0.335286 | 0.001302 | 0.19215 | 0.290854 | -0.326894 | 0.999989 | 2.151128 |
63 | 0.1026 | 0.761994 | 0.744028 | 1.00722 | 0.33431 | 0.001302 | 0.191592 | 0.316553 | -0.249315 | 0.999989 | 2.169636 |
64 | 0.1019 | 0.761937 | 0.770122 | 1.007224 | 0.333089 | 0.001302 | 0.190895 | 0.295185 | -0.321156 | 0.999989 | 2.154077 |
65 | 0.101 | 0.757759 | 0.750058 | 1.007229 | 0.33195 | 0.001302 | 0.190244 | 0.316964 | -0.27841 | 0.999988 | 2.159232 |
66 | 0.0985 | 0.755643 | 0.750519 | 1.007232 | 0.332601 | 0.001302 | 0.190616 | 0.32301 | -0.289629 | 0.999988 | 2.153391 |
67 | 0.0957 | 0.757102 | 0.760155 | 1.007237 | 0.332601 | 0.001302 | 0.190616 | 0.299626 | -0.312692 | 0.999988 | 2.159942 |
68 | 0.1028 | 0.752292 | 0.747518 | 1.00725 | 0.333089 | 0.001302 | 0.190895 | 0.319161 | -0.429476 | 0.999986 | 2.147543 |
69 | 0.1054 | 0.757134 | 0.772278 | 1.007262 | 0.330973 | 0.001302 | 0.189686 | 0.332406 | -0.378523 | 0.999985 | 2.144781 |
70 | 0.0928 | 0.753829 | 0.752098 | 1.00728 | 0.329264 | 0.001302 | 0.188709 | 0.321973 | -0.368885 | 0.999984 | 2.14693 |
71 | 0.1066 | 0.757387 | 0.7497 | 1.007311 | 0.327311 | 0.001302 | 0.187593 | 0.34801 | -0.368998 | 0.999981 | 2.151488 |
72 | 0.0985 | 0.758412 | 0.743476 | 1.007322 | 0.326253 | 0.001302 | 0.186988 | 0.31126 | -0.510626 | 0.99998 | 2.146253 |
73 | 0.0998 | 0.755112 | 0.755768 | 1.007364 | 0.324219 | 0.001302 | 0.185826 | 0.34024 | -0.462391 | 0.999976 | 2.153215 |
74 | 0.0995 | 0.753042 | 0.768711 | 1.007402 | 0.322998 | 0.001302 | 0.185128 | 0.376148 | -0.468909 | 0.999973 | 2.148175 |
75 | 0.1013 | 0.75679 | 0.740306 | 1.007464 | 0.319743 | 0.001302 | 0.183268 | 0.392623 | -0.434784 | 0.999967 | 2.150534 |
76 | 0.0988 | 0.75355 | 0.764726 | 1.007575 | 0.315592 | 0.001302 | 0.180897 | 0.320127 | -0.503492 | 0.999956 | 2.160669 |
77 | 0.0997 | 0.751923 | 0.752796 | 1.007691 | 0.31307 | 0.001302 | 0.179455 | 0.305267 | -0.658409 | 0.999944 | 2.141865 |
78 | 0.1015 | 0.752828 | 0.765223 | 1.007852 | 0.31193 | 0.001302 | 0.178804 | 0.358584 | -0.588254 | 0.999928 | 2.168661 |
79 | 0.0974 | 0.753161 | 0.772963 | 1.008278 | 0.306234 | 0.001302 | 0.175549 | 0.359179 | -0.622933 | 0.999883 | 2.147444 |
80 | 0.098 | 0.750375 | 0.746758 | 1.00835 | 0.306071 | 0.001302 | 0.175456 | 0.367993 | -0.686727 | 0.999875 | 2.148346 |
81 | 0.1023 | 0.755031 | 0.734896 | 1.008253 | 0.305745 | 0.001302 | 0.17527 | 0.55115 | -0.436437 | 0.999885 | 2.151998 |
82 | 0.0944 | 0.750056 | 0.762904 | 1.008221 | 0.30542 | 0.001302 | 0.175084 | 0.522519 | -0.487808 | 0.999889 | 2.154406 |
83 | 0.0949 | 0.749381 | 0.759975 | 1.008084 | 0.306559 | 0.001302 | 0.175735 | 0.741909 | -0.134158 | 0.999904 | 2.140009 |
84 | 0.0997 | 0.747173 | 0.761393 | 1.008258 | 0.304281 | 0.001302 | 0.174433 | 0.628683 | -0.372282 | 0.999885 | 2.144489 |
85 | 0.0995 | 0.753784 | 0.749706 | 1.008495 | 0.304118 | 0.001302 | 0.17434 | 0.607609 | -0.487541 | 0.999859 | 2.168896 |
86 | 0.1019 | 0.749202 | 0.751751 | 1.008921 | 0.296468 | 0.001302 | 0.169968 | 0.656747 | -0.442366 | 0.99981 | 2.166085 |
87 | 0.1029 | 0.74755 | 0.744919 | 1.009092 | 0.294759 | 0.001302 | 0.168992 | 0.65947 | -0.440282 | 0.999791 | 2.160997 |
88 | 0.1026 | 0.751198 | 0.733548 | 1.009433 | 0.29012 | 0.001302 | 0.166341 | 0.532925 | -0.696335 | 0.99975 | 2.140402 |
89 | 0.1045 | 0.750226 | 0.737898 | 1.010287 | 0.290202 | 0.001302 | 0.166388 | 0.66822 | -0.487049 | 0.999647 | 2.154011 |
90 | 0.1057 | 0.748735 | 0.749673 | 1.012278 | 0.282064 | 0.001302 | 0.161737 | 0.673009 | -0.547155 | 0.99939 | 2.16834 |
91 | 0.1057 | 0.746549 | 0.73846 | 1.015995 | 0.276693 | 0.001302 | 0.158668 | 0.547982 | -0.857649 | 0.998874 | 2.151122 |
92 | 0.1083 | 0.745825 | 0.744542 | 1.019279 | 0.270752 | 0.001302 | 0.155273 | 0.946302 | -0.023773 | 0.998386 | 2.144871 |
93 | 0.108 | 0.742731 | 0.742713 | 1.020952 | 0.263672 | 0.001302 | 0.151228 | 1.29703 | 0.993189 | 0.998133 | 2.147313 |
94 | 0.1062 | 0.742977 | 0.732671 | 1.027403 | 0.256348 | 0.001302 | 0.147042 | 0.377273 | -1.079243 | 0.997102 | 2.144533 |
95 | 0.1152 | 0.737665 | 0.732814 | 1.06723 | 0.235758 | 0.001302 | 0.135277 | 0.246467 | -1.160447 | 0.989672 | 2.164093 |
96 | 0.114 | 0.733245 | 0.752808 | 1.036712 | 0.236491 | 0.001302 | 0.135696 | 0.263176 | -1.012568 | 0.995516 | 2.160254 |
97 | 0.1257 | 0.727566 | 0.733198 | 1.041976 | 0.223307 | 0.001302 | 0.128162 | 3.595437 | 14.910511 | 0.994582 | 2.147494 |
98 | 0.1253 | 0.718484 | 0.725764 | 1.03886 | 0.232096 | 0 | 0.132626 | 3.544929 | 14.9105 | 0.995145 | 2.14466 |
99 | 0.1238 | 0.729838 | 0.736638 | 1.082937 | 0.220296 | 0 | 0.125884 | 1.231313 | 0.458874 | 0.986441 | 2.150057 |
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