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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 2 missing columns ({'YT', 'XT'}) This happened while the json dataset builder was generating data using hf://datasets/DataAnalyticsLab/SymbolicGPT/1Var_RandSupport_FixedLength_-3to3_-5.0to-3.0-3.0to5.0_30Points/Train/0_1_0_14062021_193012.json (at revision f492854f09b8026899626e3deae0be5c1a7f922e) 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 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast X: list<item: list<item: double>> child 0, item: list<item: double> child 0, item: double Y: list<item: double> child 0, item: double EQ: string Skeleton: string to {'X': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'Y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'EQ': Value(dtype='string', id=None), 'Skeleton': Value(dtype='string', id=None), 'XT': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'YT': Sequence(feature=Value(dtype='float64', id=None), length=-1, 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 2 missing columns ({'YT', 'XT'}) This happened while the json dataset builder was generating data using hf://datasets/DataAnalyticsLab/SymbolicGPT/1Var_RandSupport_FixedLength_-3to3_-5.0to-3.0-3.0to5.0_30Points/Train/0_1_0_14062021_193012.json (at revision f492854f09b8026899626e3deae0be5c1a7f922e) 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)
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X
sequence | Y
sequence | EQ
string | Skeleton
string | XT
sequence | YT
sequence |
---|---|---|---|---|---|
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1.8132921
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1.89755987
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] | 0.5035538309121157*x1**5+-1.7880275308333555*x1**4+1.9763031036747143*x1**3+0.64126273976877*x1**2*1.9018843748420244*log(0.8634365809569955*x1)+-1.6578296868442013*x1**2+-0.4515420744032035*x1+1.133184078275951 | C*x1**5+C*x1**4+C*x1**3+C*x1**2*C*log(C*x1)+C*x1**2+C*x1+C | [
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] | 0.25685479717362014*x1/(1.3240180394403067*x1+-0.16002606291656596)+1.3023923419772578 | C*x1/(C*x1+C)+C | [
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[
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] | 0.20809992952797796*x1*0.8743119911575592*log(0.9487458659331658*x1+1.928182171771906)+1.4703491995295015 | C*x1*C*log(C*x1+C)+C | [
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[
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[
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] | -1.971577535372575*x1**3+1.5050855019406453 | C*x1**3+C | [
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],
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],
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[
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180.6711964
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] | -1.0006726658439384*cos(-0.2007031531202872*x1+-0.7491713218335556)+0.930999551286293 | C*cos(C*x1+C)+C | [
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[
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[
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[
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[
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] | [
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1.62127703
] | -0.9287548850326248*sin(-0.16485356454857114*x1)+1.8623811658714833 | C*sin(C*x1)+C | [
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],
[
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[
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[
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[
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[
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[
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[
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[
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-3.07175809,
0.93790982
] | 1.9457335757859293*log(-0.5150533792994034*x1)+1.4850782618540541 | C*log(C*x1)+C | [
[
-4.76637511
],
[
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[
-4.57262096
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[
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[
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[
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[
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[
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] | [
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3.09454512,
2.94139988,
3.16856713
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[
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[
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[
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],
[
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[
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] | [
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] | 1.8927621889977422*x1**3+-0.6998299001090296*x1*0.2984623310978476*exp(-1.6168758998023256*x1)+-0.876941516525525*x1+0.01174763215521768 | C*x1**3+C*x1*C*exp(C*x1)+C*x1+C | [
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[
-4.62393075
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[
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[
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[
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[
-4.6898751
],
[
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] | [
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2455.96573892,
43.87913279,
1733.18895503,
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[
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[
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],
[
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],
[
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] | [
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5.1340684,
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4.67022045,
0.11701971,
0.5303683,
0.6173466
] | 2.043833069765505*log(-1.4731400909661088*x1*-0.22421706894888582*log(-0.3001057151180613*x1+-0.04686366446483348)/(-1.6245996718767952*x1+-0.5341854596377227)+-2.060380607262661/(-1.0499475647685323*x1+0.7823008754772918))+1.4788130721363228 | C*log(C*x1*C*log(C*x1+C)/(C*x1+C)+C/(C*x1+C))+C | [
[
3.43220735
],
[
4.50979075
],
[
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],
[
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[
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[
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[
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],
[
4.53824069
],
[
3.25889877
]
] | [
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-0.1913414,
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-0.14243746,
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[
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[
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[
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[
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[
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[
-2.27680834
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[
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],
[
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],
[
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]
] | [
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-0.15590009,
-0.93567453,
2.71041751,
4.44204348,
-1.2088904,
-1.09467334
] | -0.3157163040382267*x1**3+-1.0158706014663592 | C*x1**3+C | [
[
-4.95389761
],
[
3.4541821
],
[
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],
[
-3.66593329
],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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],
[
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],
[
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],
[
-4.27003595
],
[
3.47476715
]
] | [
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-14.02753034,
-39.81897984,
14.538437,
9.22434978,
12.89508943,
-35.98041086,
-27.74940704,
-9.98534374,
-30.41007091,
11.35041496,
-11.54571167,
-11.37182271,
-16.68646496,
36.01671072,
-31.35986754,
14.70183735,
31.84186883,
30.76091416,
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-11.3105816,
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32.88615752,
-25.9066741,
9.37705944,
12.00812627,
-18.08729277,
23.56467986,
-14.26154671
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[
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] | -0.9941561868955551*sin(1.023384958847089*x1+0.5202185164976245)+1.6773243727479947 | C*sin(C*x1+C)+C | [
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],
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[
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[
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] | 1.3502460616825793*x1+-2.0703249981626435 | C*x1+C | [
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],
[
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],
[
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[
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[
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[
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[
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] | [
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[
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1.67629027
] | 2.061048382200813*log(1.9099416854254625*x1**2+0.026238004417386662)+0.08420844391686266 | C*log(C*x1**2+C)+C | [
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],
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] | -0.1891792738088216*log(0.8454387752607677*cos(-1.0008877612703357*x1))+-1.1044732920644247 | C*log(C*cos(C*x1))+C | [
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] | -1.3257310805153253*exp(-0.43652949216172976*x1)+-1.5225461109173124 | C*exp(C*x1)+C | [
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[
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] | 1.1257231870729631*x1+1.00838976600664 | C*x1+C | [
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],
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[
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] | 0.7066436697309166*log(0.32314801938769655*exp(-0.07314597272175183*x1))+1.1488188358490925 | C*log(C*exp(C*x1))+C | [
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[
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[
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] | 1.6971707600593975*log(-0.9373854544949016*log(-0.3562771857364728*exp(0.7956481620814468*x1)))+0.2711747233836945 | C*log(C*log(C*exp(C*x1)))+C | [
[
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],
[
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[
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[
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[
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[
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[
4.73190591
],
[
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]
] | [
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[
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[
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[
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[
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] | -0.03891096505390701*log(0.9718541329873562*log(-1.9820110257637475*cos(-1.7298881787145064*x1+0.478685604839832)))+0.5136477330648948 | C*log(C*log(C*cos(C*x1+C)))+C | [
[
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[
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[
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[
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[
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[
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] | [
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[
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[
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[
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],
[
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],
[
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]
] | [
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30.7564955,
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-54.047636
] | 1.7810668502347808*x1**4+-0.19653314028024704*x1**3+-0.8936733394416836*x1**2+-0.8309978758895011*x1+1.5655114185724508 | C*x1**4+C*x1**3+C*x1**2+C*x1+C | [
[
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],
[
-3.95760677
],
[
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[
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[
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[
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[
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[
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],
[
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]
] | [
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1049.34326886,
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-137.12099116,
941.81625536,
533.01698831,
-484.90676496
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[
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[
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[
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],
[
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],
[
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]
] | [
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2.76074652,
2.15984642,
54.43817599,
1.58103318,
1.58452759,
1.61776603
] | 1.1726514346726358*exp(1.4125243962263108*x1)+1.5559796852200614 | C*exp(C*x1)+C | [
[
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],
[
4.86002341
],
[
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],
[
3.59847722
],
[
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[
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[
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[
-3.88177461
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[
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],
[
3.66432219
],
[
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]
] | [
295.70087038,
1125.01655631,
1178.50821942,
190.64241323,
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429.01797479,
1.56335325,
1.56085372,
762.52001719,
209.07268778,
1.56129381
] |
[
[
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],
[
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
1.30016005
],
[
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]
] | [
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-1.89024011,
-6.87856244,
1.41890736,
4.90003418
] | 1.9872494941877812*x1**2+-1.9403712895830578 | C*x1**2+C | [
[
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],
[
4.20888802
],
[
-3.67077023
],
[
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],
[
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[
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[
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[
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[
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],
[
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],
[
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] | [
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19.46774473,
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] | -0.24544556750676128*x1**4+2.004132188915593*x1**2+-0.8625210632271973 | C*x1**4+C*x1**2+C | [
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] | 0.5041713273513961*log(-1.588823835516906*exp(1.0444425431084587*x1))+-0.18166235725782354 | C*log(C*exp(C*x1))+C | [
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] | 1.2418423982191498*x1+1.450889732875543*log(-1.7412735571152198*x1+1.3056270744756056)+1.5154680358018502 | C*x1+C*log(C*x1+C)+C | [
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] | -0.7045979934405722*exp(-1.2586524380598312*x1)+1.1551841618697427 | C*exp(C*x1)+C | [
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[
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] | 0.8640475788239694*cos(-1.0109508495964281*sin(-0.8575471820914564*x1))+1.484191146157412 | C*cos(C*sin(C*x1))+C | [
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],
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[
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[
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[
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] | 0.8477383201283732*x1**5+0.42607956729867436*x1**2+0.4653823585552219 | C*x1**5+C*x1**2+C | [
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[
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[
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[
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[
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[
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3.31553607,
-0.77611484,
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0.51395676
] | 1.823470472674499*x1+-1.8699710152753897 | C*x1+C | [
[
-4.51490854
],
[
-3.4090774
],
[
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[
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[
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[
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[
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[
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[
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[
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] | -0.4963118696560529*sin(1.8512780852682225*x1)+-0.31245227158760636 | C*sin(C*x1)+C | [
[
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[
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[
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[
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-4.92764122
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[
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[
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[
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[
3.93510048
],
[
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]
] | [
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[
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[
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[
1.88631153
],
[
2.84214466
],
[
-1.75606807
],
[
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]
] | [
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2.6684118,
2.94327541,
2.65360568,
3.80225173,
2.44660482,
0.6342852
] | 1.2647253013938053*log(-1.1990716464599234*x1**2+0.4873587593370803*x1)+1.1256630257264044 | C*log(C*x1**2+C*x1)+C | [
[
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],
[
-3.46158696
],
[
-3.89587323
],
[
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[
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[
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[
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],
[
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],
[
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],
[
3.75661647
],
[
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]
] | [
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5.04888901,
4.9209665,
4.38301994,
4.38728167,
4.10384373,
4.55822531,
4.86229404
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[
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],
[
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],
[
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],
[
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],
[
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],
[
2.58289608
],
[
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]
] | [
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0.92854065,
-0.4283559,
1.72901236,
1.70913804,
1.68225422,
4.6842069,
1.19688433
] | -1.8646685330990322*log(0.896705539452376*log(1.9639309569780763*x1)+-1.5166833945547427)+-0.5420235514961445 | C*log(C*log(C*x1)+C)+C | [
[
4.42491888
],
[
-4.53026195
],
[
-3.88910482
],
[
-4.00280148
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[
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[
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[
4.50147289
],
[
-3.72519646
],
[
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]
] | [
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2.01310002,
4.14835118,
4.26230603,
0.74322257,
0.99917782,
1.91442615,
0.82916214
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[
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[
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],
[
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],
[
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]
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End of preview.