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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)Need help to make the dataset viewer work? Open a discussion for direct support.
X
sequence | Y
sequence | EQ
string | Skeleton
string | XT
sequence | YT
sequence |
|---|---|---|---|---|---|
[
[
1.47051444
],
[
-1.21969295
],
[
-0.09552825
],
[
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],
[
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],
[
-0.56304982
],
[
0.73866784
],
[
1.8132921
],
[
-2.41784322
],
[
1.89755987
],
[
-2.83151722
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[
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[
0.40143429
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[
0.5586183
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[
2.488767
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[
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[
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[
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[
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[
1.34653116
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[
-0.57901977
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[
-0.13423109
],
[
-1.72605493
],
[
0.53086963
],
[
0.79923647
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[
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],
[
1.03730981
],
[
-0.79320753
],
[
1.25343272
],
[
-1.22032633
]
] | [
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-1.18865412,
-1.18865412,
-1.18865412,
-1.18865412
] | -1.4608810703863337*exp(-1.3662906591107051*x1/(1.6570892466721525*x1))+-0.5481326790673482 | C*exp(C*x1/(C*x1))+C | [
[
-3.17441699
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[
4.39725902
],
[
3.36709939
],
[
4.33627163
],
[
4.57936243
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[
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[
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[
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[
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[
3.80281615
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[
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[
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[
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[
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[
3.03668198
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[
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[
3.56272826
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[
3.03383932
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[
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[
-3.29489449
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[
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[
4.31009706
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[
4.48493415
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[
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[
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[
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[
4.03733085
],
[
3.33913808
],
[
4.4191814
],
[
4.29340793
]
] | [
-1.18865412,
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-1.18865412,
-1.18865412,
-1.18865412,
-1.18865412,
-1.18865412,
-1.18865412
] |
[
[
0.42284918
],
[
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],
[
-1.29292217
],
[
-1.78400462
],
[
-1.01439284
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[
-0.81276085
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[
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],
[
0.61772857
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[
-2.6222508
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[
1.38886762
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[
1.40306511
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[
0.54090146
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[
1.30143802
],
[
1.27899098
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[
1.65521573
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[
1.10430238
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[
1.78738556
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[
0.53393386
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2.15831256
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[
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[
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[
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[
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[
1.05697627
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[
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[
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[
0.81268662
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[
1.08590417
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[
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]
] | [
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0.97233465,
8.39381274,
6.02442998,
0.76324901,
0.97875044,
3.76734885
] | 0.9397283929441147*exp(-1.7138582239614426*x1)*-2.0077425853788546*cos(-1.3353942241925272*x1**2+-0.9402324542557938*x1)+0.7279997618628564 | C*exp(C*x1)*C*cos(C*x1**2+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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3.23574455
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[
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[
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3.05826657
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4.17912762
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[
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[
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[
4.18216145
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[
4.16831474
]
] | [
0.7277841,
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0.7298564,
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992.46316785,
0.72600075,
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0.73740543,
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1987.91761191,
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0.72387629,
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6097.54087023,
849.48043465,
0.7288036,
0.72860445
] |
[
[
0.46373727
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[
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[
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[
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[
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2.4753996
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] | [
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24.81632157,
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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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[
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[
3.82782379
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[
4.99899992
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] | [
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137.26636491,
704.31679301,
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[
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[
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[
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[
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] | [
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1.43097064,
1.51739596,
1.47229421,
1.65412618,
1.4868588,
-3.77477273
] | 0.25685479717362014*x1/(1.3240180394403067*x1+-0.16002606291656596)+1.3023923419772578 | C*x1/(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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[
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[
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[
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[
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],
[
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],
[
2.22658381
],
[
2.09295879
],
[
-2.60259948
]
] | [
-7.00759256,
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0.93207544,
-9.58493301,
2.50075953,
15.69538444,
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8.70724016,
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0.69112208,
1.93233431,
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23.92417157,
-8.938155,
0.73974639,
0.70460233,
4.03622602,
-3.38222799,
-7.02266117,
13.25682485
] | 0.9633718254570423*x1*1.9148717606989867*log(0.9006877952636358*x1**4+1.6669653267307702*x1**3+0.5648574464503451*x1**2+-1.2276559446229411*x1+-0.6261005199630683)*-1.7718715377928107*sin(1.342774419612362*x1)+0.6767932552032421 | C*x1*C*log(C*x1**4+C*x1**3+C*x1**2+C*x1+C)*C*sin(C*x1)+C | [
[
-3.90916978
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] | 0.5429391980551586*x1**4+0.5587698685776163*x1**2+0.26202636943628077 | C*x1**4+C*x1**2+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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] | -1.221855064120768*cos(-1.0779750472374385*log(-1.1540742645405142*x1)+1.253817758737263)**3+1.2605775854298358 | C*cos(C*log(C*x1)+C)**3+C | [
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[
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[
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[
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1.50508453,
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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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[
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] | [
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100.58262152,
-218.2996364,
67.02270934,
131.95337447,
180.6711964
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[
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] | -1.0006726658439384*cos(-0.2007031531202872*x1+-0.7491713218335556)+0.930999551286293 | C*cos(C*x1+C)+C | [
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-4.26351827
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[
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[
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] | -0.3563862615918285*x1*-0.5440676262656592*sin(-1.8314322583603382*x1/(-1.8674849055673357*x1+1.623532481888775))+2.0267528526904575*log(1.8257988998117956*x1)+0.1685644433718947 | C*x1*C*sin(C*x1/(C*x1+C))+C*log(C*x1)+C | [
[
-4.58205054
],
[
-3.07796342
],
[
-3.4782662
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[
3.96337568
],
[
4.03053396
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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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[
3.42058992
],
[
3.39538168
],
[
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]
] | [
3.82153407,
3.25413257,
3.43861304,
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3.92513824,
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3.57474264,
5.19915175,
3.84438893,
4.52287854,
4.50371055,
3.38051139
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[
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[
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[
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[
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] | [
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2.07257681,
2.17081977,
1.62127703
] | -0.9287548850326248*sin(-0.16485356454857114*x1)+1.8623811658714833 | C*sin(C*x1)+C | [
[
-3.76813336
],
[
3.10787043
],
[
-4.1802231
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[
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[
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[
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[
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[
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[
3.97373815
],
[
-4.05191689
],
[
3.87849314
]
] | [
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2.33501514,
1.354549,
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2.38358425,
2.42820332,
1.28711423,
2.41656992
] |
[
[
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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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],
[
-0.18655677
],
[
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]
] | [
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1.56944315,
2.28356311,
-7.86460861,
-0.27147121,
1.56809611,
-3.07175809,
0.93790982
] | 1.9457335757859293*log(-0.5150533792994034*x1)+1.4850782618540541 | C*log(C*x1)+C | [
[
-4.76637511
],
[
-3.36179887
],
[
-4.57262096
],
[
4.58835515
],
[
3.73185785
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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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[
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[
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],
[
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[
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],
[
4.90216894
],
[
-4.44003024
],
[
-4.1039618
],
[
4.61219783
]
] | [
3.23254582,
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3.15179894,
3.15848262,
2.75646497,
3.29297505,
2.74777678,
2.77603309,
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3.08079777,
3.31645728,
2.56324584,
3.28720463,
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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[
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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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[
2.7020706
],
[
0.73348177
],
[
-2.54018601
],
[
0.02944722
],
[
2.22762708
],
[
-2.69489653
],
[
0.55173157
]
] | [
0.98614124,
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5.44776502,
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34.97605755,
0.06863247,
3.46104561,
-0.01989226,
18.96853724,
9.26265817,
-0.201423
] | 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 | [
[
3.39776699
],
[
-4.62393075
],
[
-4.09608209
],
[
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],
[
-3.70272102
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[
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[
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[
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[
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[
3.17798824
],
[
-3.52716927
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[
4.9255302
],
[
4.38244928
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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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],
[
-4.33476763
],
[
3.32349736
],
[
-3.25445024
],
[
-3.22415658
],
[
-4.86926415
],
[
-3.10182538
],
[
-4.6898751
],
[
4.77850917
]
] | [
71.2758305,
1522.31320775,
516.98501008,
224.84528076,
215.10500899,
126.87508895,
156.40790703,
2159.70434031,
190.73701245,
57.97187029,
140.8931164,
221.87241005,
155.47919065,
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225.12157221,
556.34917637,
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66.57757658,
68.73336903,
63.0825453,
2455.96573892,
43.87913279,
1733.18895503,
202.34616341
] |
[
[
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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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[
0.35440264
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[
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],
[
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],
[
-0.91718217
],
[
0.34971765
],
[
-2.61162347
],
[
-1.55947588
],
[
-1.38024348
]
] | [
0.2403201,
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0.64998173,
0.04186619,
3.46081446,
9.33213963,
6.79291669,
2.91318167,
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6.37925612,
5.1340684,
0.78615132,
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
],
[
3.88226331
],
[
-4.18748259
],
[
-4.95051801
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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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],
[
3.52037971
],
[
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[
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],
[
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],
[
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],
[
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],
[
-4.98900216
],
[
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],
[
-4.12153754
],
[
-4.76388952
],
[
4.53824069
],
[
3.25889877
]
] | [
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-0.19970725,
-0.2758782,
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-0.27884956,
0.44231505,
-0.1913414,
-0.2603955,
-0.14243746,
0.96075541
] |
[
[
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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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],
[
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],
[
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],
[
-0.40587569
],
[
-2.23015333
],
[
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],
[
-1.39656831
],
[
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],
[
-2.27680834
],
[
-2.58569063
],
[
0.84872752
],
[
0.62962423
]
] | [
-0.99715945,
4.25965659,
4.41293265,
1.52573777,
-1.01480075,
-1.00370397,
0.06074624,
-0.07302344,
-4.91708899,
-1.58523913,
-1.03574383,
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-7.44092238,
-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
],
[
4.97190901
],
[
-3.66593329
],
[
-3.18911929
],
[
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],
[
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],
[
4.39123286
],
[
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],
[
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],
[
-3.39610222
],
[
3.21890581
],
[
3.20108845
],
[
3.67504634
],
[
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],
[
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],
[
-3.67872566
],
[
-4.7037788
],
[
-4.65162091
],
[
-3.50835301
],
[
-4.8566767
],
[
3.19476597
],
[
-3.31101402
],
[
-4.75309203
],
[
4.2879262
],
[
-3.20489396
],
[
-3.45527346
],
[
3.78144305
],
[
-4.27003595
],
[
3.47476715
]
] | [
37.36705625,
-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,
12.61761383,
35.15130484,
-11.3105816,
10.44400938,
32.88615752,
-25.9066741,
9.37705944,
12.00812627,
-18.08729277,
23.56467986,
-14.26154671
] |
[
[
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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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] | -0.9941561868955551*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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] | 1.3502460616825793*x1+-2.0703249981626435 | C*x1+C | [
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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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] | -0.1891792738088216*log(0.8454387752607677*cos(-1.0008877612703357*x1))+-1.1044732920644247 | C*log(C*cos(C*x1))+C | [
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] | -1.6745917610676577*sin(1.1855604900031342*exp(1.7792775012224755*x1))+2.0622852294132055 | C*sin(C*exp(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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[
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[
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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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[
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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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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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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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[
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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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[
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],
[
3.28218478
],
[
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]
] | [
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22.47751802,
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-31.08349626,
19.46774473,
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[
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[
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] | [
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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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] | [
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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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[
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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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3.31553607,
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0.51395676
] | 1.823470472674499*x1+-1.8699710152753897 | C*x1+C | [
[
-4.51490854
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[
-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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] | -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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[
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[
1.88631153
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[
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],
[
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],
[
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]
] | [
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2.6684118,
2.94327541,
2.65360568,
3.80225173,
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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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],
[
3.75661647
],
[
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]
] | [
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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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],
[
2.58289608
],
[
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]
] | [
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-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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