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feynman-integrals-nn
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heavycrossbox

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test

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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 100 new columns ({'-0.06200352302450422', '2.549763367843506', '0.6414417297857652', '-0.6229339955695664', '1.081440495922614', '-0.4569120828503069', '-1.534852157341052', '-5.33636120229846', '3.817412255349864', '-5.114535920496493', '-0.6819539608086862', '-0.1767904489945682', '1.361646437657536', '1.26065820070868', '-1.154431329803066', '1.827648331401228', '0.3749007185480176.1', '-0.6091058094240103', '4.30002470619277', '-0.554568262841729', '1.201673346471799', '0.9138241657006138', '-0.6999832157955909', '-0.1753176960240044', '-0.9633289024356912', '0.9823913788259336', '-9.984424226794841', '7.199490416515466', '-2.101118173759757', '2.184050746984224', '-1.787001272273715', '0.382384990640074', '21.76922548504316', '-0.4273669355007', '0.7163133015732858', '0.641441729785765', '4.189908719896118', '0.365118863529185', '1.98671833236619', '0.3207208648928826', '-0.2206063780699058', '0.04002649669421322', '0.3749007185480176', '-1.477035131075763', '-0.8479017740703317', '0.757159105892034', '0.334152509520083', '3.989310212131522', '-0.3409113829128006', '2.89677418276734', '-0.675453847182224', '0.886348247587126', '2.311289914463664', '-3.000888132357226', '2.21429641918285', '-10.08297442413451', '-1.123450970194932', '-0.2144081240716119', '-1.57635105823624', '1.', '0.1883185689638018', '-22.51989503218566', '-5.805996793190116', '0.02620058457495329', '-1.', '-2.653448820359462', '-1.206120312672362', '-2.643833921889635', '0.4502928405262999', '0.4502928405262999.1', '4.099739466169555', '-5.78195733162295', '3.008942009764134', '-1.133664680721852', '-0.2178987282639982', '12.19625671348058', '11.703519127962177', '18.54308663988449', '-4.508222770916891', '10.114004088856946', '-3.929565515303734', '-4.68145445394883', '3.88762835344687', '1.827648331401228.1', '-2.672475981108662', '-0.2372833997680448', '-2.956755380097939', '-0.4516984295233251', '-0.811658435925312', '-2.464894290054589', '-0.1302581658490344', '1.021224020256429', '-2.003364608295668', '4.22226549391969', '-5.836024742510955', '0.5804919842997169', '-0.1603604324464413', '13.14937821976045', '0.3636226034453771', '-2.429456991916587'}) and 100 missing columns ({'0.82', '0.116', '0.115', '-26.94607357321864', '0.128', '0.80', '0.147', '-6.981707856766745', '0.114', '0.95', '0.143', '0.137', '0.118', '-4.196750298957195', '0.140', '0.130', '-3.14632509006899', '0.142', '0.105', '-3.789138713636917', '-3.155382387721266', '3.208269879707033', '0.123', '0.135', '0.119', '0.87', '0.124', '0.108', '-3.639104064020318', '0.125', '-5.263059502039747', '0.110', '0.111', '0.92', '0.109', '0.136', '0.113', '0.84', '0.131', '0.94', '1.455801701236836', '4.864521777865256', '0.138', '-3.013220308916643', '1.177785343215987', '-4.726544517923336', '0.97', '0.90', '0.99', '0.106', '0.81', '0.145', '0.88', '0.134', '0.126', '2.395765934506475', '-3.981702661070185', '1.095856529339736', '4.238681457695436', '0.98', '0.139', '0.100', '0.127', '0.146', '0.112', '3.538418562545121', '0.122', '-3.141592653589793', '0.117', '0.133', '0.85', '0.102', '0.91', '-1.5364815567649', '0.93', '0.144', '0.104', '0.96328275010051', '0.141', '0.103', '0.96', '1.469941145252377', '1.526884521553891', '0.86', '0.83', '2.87086328563787', '-2.325107695290412', '0.129', '3.214195598815935', '0.132', '0.89', '1.292978237079014', '1.414636679761504', '0.101', '6.861397781792938', '1.0075743130004445', '0.121', '0.107', '0.120', '-2.163722732339651'}).

This happened while the csv dataset builder was generating data using

hf://datasets/feynman-integrals-nn/heavycrossbox/re/testing_output.csv (at revision 59de72abd641b344034f6f04d49db0737a195d37)

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
              1.: double
              -1.154431329803066: double
              2.311289914463664: double
              -2.956755380097939: double
              3.989310212131522: double
              -1.: double
              2.184050746984224: double
              2.549763367843506: double
              -5.836024742510955: double
              3.008942009764134: double
              0: int64
              1.081440495922614: double
              -0.4516984295233251: double
              7.199490416515466: double
              -5.805996793190116: double
              0.1: int64
              0.2: int64
              -3.929565515303734: double
              4.189908719896118: double
              -22.51989503218566: double
              0.3: int64
              0.4502928405262999: double
              -1.57635105823624: double
              4.22226549391969: double
              -10.08297442413451: double
              0.4: int64
              0.5: int64
              0.6414417297857652: double
              -1.477035131075763: double
              4.30002470619277: double
              0.6: int64
              0.3749007185480176: double
              -1.534852157341052: double
              4.099739466169555: double
              -9.984424226794841: double
              0.7: int64
              0.8: int64
              1.827648331401228: double
              -4.68145445394883: double
              13.14937821976045: double
              0.9: int64
              0.10: int64
              0.9823913788259336: double
              0.5804919842997169: double
              2.89677418276734: double
              0.11: int64
              0.12: int64
              -0.1603604324464413: double
              0.04002649669421322: double
              -0.3409113829128006: double
              0.13: int64
              0.14: int64
              -0.4569120828503069: double
              0.1883185689638018: double
              -0.9633289024356912: double
              0.15: int64
              0.16: int64
              0.17: int64
              -2.464894290054589: double
              11.703519127962177: double
              0.18: int64
              0.19: int64
              0.382384990640074: double
              -4.508222770916891: double
              12.19625671348058: double
              0.20: int64
              0.21: int64
              0.22: int64
              0.23: int64
              -2.429456991916587: double
              0.24: int64
              0.25: int64
              0.26
              ...
              0.40: int64
              0.41: int64
              0.3636226034453771: double
              -0.6819539608086862: double
              0.42: int64
              0.43: int64
              -0.2144081240716119: double
              -0.1753176960240044: double
              -0.6229339955695664: double
              0.44: int64
              0.45: int64
              0.3207208648928826: double
              -0.8479017740703317: double
              -0.675453847182224: double
              0.46: int64
              0.47: int64
              0.9138241657006138: double
              -2.672475981108662: double
              -1.787001272273715: double
              0.48: int64
              0.49: int64
              0.50: int64
              0.51: int64
              -2.653448820359462: double
              0.52: int64
              0.53: int64
              0.54: int64
              1.26065820070868: double
              -0.4273669355007: double
              0.55: int64
              0.56: int64
              -0.1302581658490344: double
              0.02620058457495329: double
              -0.2206063780699058: double
              0.57: int64
              0.58: int64
              0.59: int64
              -0.1767904489945682: double
              -0.06200352302450422: double
              0.60: int64
              0.61: int64
              0.365118863529185: double
              0.886348247587126: double
              1.361646437657536: double
              0.62: int64
              0.63: int64
              0.64: int64
              0.65: int64
              0.334152509520083: double
              0.66: int64
              0.67: int64
              0.68: int64
              0.69: int64
              3.88762835344687: double
              0.70: int64
              0.71: int64
              1.021224020256429: double
              -2.643833921889635: double
              -5.33636120229846: double
              0.72: int64
              0.73: int64
              0.74: int64
              0.7163133015732858: double
              0.757159105892034: double
              0.75: int64
              0.76: int64
              -1.206120312672362: double
              3.817412255349864: double
              10.114004088856946: double
              0.77: int64
              0.78: int64
              0.79: int64
              -0.6091058094240103: double
              -2.003364608295668: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 22238
              to
              {'0': Value(dtype='int64', id=None), '0.1': Value(dtype='int64', id=None), '0.2': Value(dtype='int64', id=None), '0.3': Value(dtype='int64', id=None), '0.4': Value(dtype='int64', id=None), '0.5': Value(dtype='int64', id=None), '-3.141592653589793': Value(dtype='float64', id=None), '6.861397781792938': Value(dtype='float64', id=None), '-2.325107695290412': Value(dtype='float64', id=None), '4.238681457695436': Value(dtype='float64', id=None), '0.6': Value(dtype='int64', id=None), '0.7': Value(dtype='int64', id=None), '0.8': Value(dtype='int64', id=None), '0.9': Value(dtype='int64', id=None), '0.10': Value(dtype='int64', id=None), '0.11': Value(dtype='int64', id=None), '0.12': Value(dtype='int64', id=None), '0.13': Value(dtype='int64', id=None), '0.14': Value(dtype='int64', id=None), '0.15': Value(dtype='int64', id=None), '0.16': Value(dtype='int64', id=None), '0.17': Value(dtype='int64', id=None), '0.18': Value(dtype='int64', id=None), '0.19': Value(dtype='int64', id=None), '0.20': Value(dtype='int64', id=None), '0.21': Value(dtype='int64', id=None), '0.22': Value(dtype='int64', id=None), '0.23': Value(dtype='int64', id=None), '0.24': Value(dtype='int64', id=None), '0.25': Value(dtype='int64', id=None), '0.26': Value(dtype='int64', id=None), '0.27': Value(dtype='int64', id=None), '0.28': Value(dtype='int64', id=None), '0.29': Value(dtype='int64', id=None), '0.30': Value(dtype='int64', id=None), '0.31': Value(dtype='int64', id=None), '0.32': Value(dtype='int64', id=None), '0.33'
              ...
              dtype='int64', id=None), '0.122': Value(dtype='int64', id=None), '0.123': Value(dtype='int64', id=None), '0.124': Value(dtype='int64', id=None), '0.125': Value(dtype='int64', id=None), '0.126': Value(dtype='int64', id=None), '0.127': Value(dtype='int64', id=None), '0.128': Value(dtype='int64', id=None), '0.129': Value(dtype='int64', id=None), '3.214195598815935': Value(dtype='float64', id=None), '0.130': Value(dtype='int64', id=None), '0.131': Value(dtype='int64', id=None), '0.132': Value(dtype='int64', id=None), '0.133': Value(dtype='int64', id=None), '-26.94607357321864': Value(dtype='float64', id=None), '0.134': Value(dtype='int64', id=None), '0.135': Value(dtype='int64', id=None), '0.136': Value(dtype='int64', id=None), '3.208269879707033': Value(dtype='float64', id=None), '-4.196750298957195': Value(dtype='float64', id=None), '0.137': Value(dtype='int64', id=None), '0.138': Value(dtype='int64', id=None), '0.139': Value(dtype='int64', id=None), '0.140': Value(dtype='int64', id=None), '4.864521777865256': Value(dtype='float64', id=None), '0.141': Value(dtype='int64', id=None), '0.142': Value(dtype='int64', id=None), '0.143': Value(dtype='int64', id=None), '-3.789138713636917': Value(dtype='float64', id=None), '3.538418562545121': Value(dtype='float64', id=None), '0.144': Value(dtype='int64', id=None), '0.145': Value(dtype='int64', id=None), '0.146': Value(dtype='int64', id=None), '0.147': Value(dtype='int64', id=None), '-4.726544517923336': Value(dtype='float64', 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 100 new columns ({'-0.06200352302450422', '2.549763367843506', '0.6414417297857652', '-0.6229339955695664', '1.081440495922614', '-0.4569120828503069', '-1.534852157341052', '-5.33636120229846', '3.817412255349864', '-5.114535920496493', '-0.6819539608086862', '-0.1767904489945682', '1.361646437657536', '1.26065820070868', '-1.154431329803066', '1.827648331401228', '0.3749007185480176.1', '-0.6091058094240103', '4.30002470619277', '-0.554568262841729', '1.201673346471799', '0.9138241657006138', '-0.6999832157955909', '-0.1753176960240044', '-0.9633289024356912', '0.9823913788259336', '-9.984424226794841', '7.199490416515466', '-2.101118173759757', '2.184050746984224', '-1.787001272273715', '0.382384990640074', '21.76922548504316', '-0.4273669355007', '0.7163133015732858', '0.641441729785765', '4.189908719896118', '0.365118863529185', '1.98671833236619', '0.3207208648928826', '-0.2206063780699058', '0.04002649669421322', '0.3749007185480176', '-1.477035131075763', '-0.8479017740703317', '0.757159105892034', '0.334152509520083', '3.989310212131522', '-0.3409113829128006', '2.89677418276734', '-0.675453847182224', '0.886348247587126', '2.311289914463664', '-3.000888132357226', '2.21429641918285', '-10.08297442413451', '-1.123450970194932', '-0.2144081240716119', '-1.57635105823624', '1.', '0.1883185689638018', '-22.51989503218566', '-5.805996793190116', '0.02620058457495329', '-1.', '-2.653448820359462', '-1.206120312672362', '-2.643833921889635', '0.4502928405262999', '0.4502928405262999.1', '4.099739466169555', '-5.78195733162295', '3.008942009764134', '-1.133664680721852', '-0.2178987282639982', '12.19625671348058', '11.703519127962177', '18.54308663988449', '-4.508222770916891', '10.114004088856946', '-3.929565515303734', '-4.68145445394883', '3.88762835344687', '1.827648331401228.1', '-2.672475981108662', '-0.2372833997680448', '-2.956755380097939', '-0.4516984295233251', '-0.811658435925312', '-2.464894290054589', '-0.1302581658490344', '1.021224020256429', '-2.003364608295668', '4.22226549391969', '-5.836024742510955', '0.5804919842997169', '-0.1603604324464413', '13.14937821976045', '0.3636226034453771', '-2.429456991916587'}) and 100 missing columns ({'0.82', '0.116', '0.115', '-26.94607357321864', '0.128', '0.80', '0.147', '-6.981707856766745', '0.114', '0.95', '0.143', '0.137', '0.118', '-4.196750298957195', '0.140', '0.130', '-3.14632509006899', '0.142', '0.105', '-3.789138713636917', '-3.155382387721266', '3.208269879707033', '0.123', '0.135', '0.119', '0.87', '0.124', '0.108', '-3.639104064020318', '0.125', '-5.263059502039747', '0.110', '0.111', '0.92', '0.109', '0.136', '0.113', '0.84', '0.131', '0.94', '1.455801701236836', '4.864521777865256', '0.138', '-3.013220308916643', '1.177785343215987', '-4.726544517923336', '0.97', '0.90', '0.99', '0.106', '0.81', '0.145', '0.88', '0.134', '0.126', '2.395765934506475', '-3.981702661070185', '1.095856529339736', '4.238681457695436', '0.98', '0.139', '0.100', '0.127', '0.146', '0.112', '3.538418562545121', '0.122', '-3.141592653589793', '0.117', '0.133', '0.85', '0.102', '0.91', '-1.5364815567649', '0.93', '0.144', '0.104', '0.96328275010051', '0.141', '0.103', '0.96', '1.469941145252377', '1.526884521553891', '0.86', '0.83', '2.87086328563787', '-2.325107695290412', '0.129', '3.214195598815935', '0.132', '0.89', '1.292978237079014', '1.414636679761504', '0.101', '6.861397781792938', '1.0075743130004445', '0.121', '0.107', '0.120', '-2.163722732339651'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/feynman-integrals-nn/heavycrossbox/re/testing_output.csv (at revision 59de72abd641b344034f6f04d49db0737a195d37)
              
              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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-3.141593	2.529758	4.149173	6.182435	-1.048221	-1.196151	1.408798	-1.437821	-2.047064	-1.077153	1.478747	-1.296288	-1.921741	-0.944405	-1.021586	1.490371	-1.271611	-1.89736	-1.095337	-1.19326	0.576019	-0.484211	0.500553	-0.41483	0.243346	-1.966128	0.24316	0.038506	0.22582	-0.083073	-0.05497	-0.724407
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-3.141593	6.462231	-1.478665	3.997567	-3.266608	0.694142	1.13458	-3.04898	1.098262	-3.543351	1.294897	-2.981184	1.030629	-2.751281	1.090799	1.327753	-2.958458	1.030568	-3.257867	1.214707	1.890967	-4.117893	1.637675	-3.502803	2.558961	-21.317479	2.540949	-3.020318	2.359918	-2.828686	1.950685	-2.775764
-3.141593	4.969608	1.237063	3.96825	-2.151492	-0.67128	1.262258	-2.537052	-0.36715	-2.272454	1.37376	-2.419306	-0.349049	-1.708673	-0.31164	1.420236	-2.36066	-0.320775	-2.365363	-0.507031	1.297156	-2.167309	0.968811	-1.569313	1.068446	-8.751124	1.065268	-0.70532	0.905146	-0.768284	0.113282	-1.526978
-3.141593	5.038169	1.127859	3.942442	-2.194107	-0.632409	1.257027	-2.56397	-0.305976	-2.319871	1.449372	-2.346577	-0.238687	-2.847293	-0.598493	1.341961	-2.479886	-0.301776	-1.326621	-0.180765	0.770461	-1.239081	1.530796	-2.642561	1.112886	-9.120499	1.110523	-0.757448	1.499075	-0.792082	0.189691	-2.350116
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-3.141593	5.192042	0.877326	3.893305	-2.292524	-0.5382	1.245059	-2.623324	-0.166248	-2.429731	1.385888	-2.483291	-0.149823	-2.165027	-0.246286	1.385165	-2.484143	-0.150184	-2.154696	-0.244034	1.21001	-2.081982	1.215175	-2.091843	1.219225	-10.005792	1.214813	-0.898841	1.221976	-0.926571	0.231068	-1.917685
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-3.141593	6.499012	-1.55454	4.015323	-3.299506	0.7444	1.131086	-3.059382	1.137292	-3.581788	1.184705	-3.04589	1.102161	-0.980372	0.483023	1.468531	-2.841719	1.124253	-5.312957	1.541837	2.80932	-6.532162	0.643028	-1.281373	2.613572	-21.784309	2.619332	-3.055265	0.894487	-3.133199	1.64401	-1.133162
-3.141593	6.122437	-0.798089	3.874772	-2.97585	0.273158	1.166108	-2.947409	0.743107	-3.205971	1.264764	-2.897918	0.700485	-1.689381	0.504251	1.410696	-2.775954	0.720773	-3.881733	0.757058	2.13116	-4.520758	1.034984	-2.021014	2.103338	-17.439495	2.095876	-2.217096	1.326756	-2.171002	1.076431	-1.753001
-3.141593	5.685132	0.02371	3.821582	-2.635033	-0.16444	1.204603	-2.802957	0.302854	-2.815879	1.273532	-2.756826	0.280869	-1.149136	0.159128	1.459579	-2.568848	0.341517	-3.865504	0.032926	2.060465	-4.098951	0.702281	-1.249695	1.63015	-13.445172	1.6286	-1.462103	0.78857	-1.498605	0.466565	-1.169884
-3.141593	6.083776	-0.722982	3.865413	-2.944239	0.229968	1.169608	-2.935243	0.703372	-3.169545	1.304772	-2.85804	0.658335	-2.260637	0.577597	1.367793	-2.804992	0.666678	-3.207627	0.67616	1.81392	-3.741371	1.340425	-2.667167	2.056706	-17.04432	2.045567	-2.151127	1.725094	-2.055143	1.097784	-2.235749
-3.141593	5.45971	0.423554	3.837725	-2.473179	-0.349697	1.223493	-2.722915	0.084522	-2.632666	1.293236	-2.668786	0.069777	-1.138343	0.051543	1.46209	-2.484323	0.139808	-3.575127	-0.25743	1.904008	-3.622337	0.685616	-1.175067	1.427998	-11.749639	1.426381	-1.171735	0.723467	-1.223065	0.298368	-1.126934
-3.141593	5.156114	0.936497	3.903677	-2.269196	-0.561082	1.247881	-2.609598	-0.19917	-2.403647	1.49181	-2.330723	-0.095667	-3.555856	-0.701108	1.298776	-2.564274	-0.204606	-0.817188	-0.052506	0.491268	-0.784767	1.860603	-3.367665	1.193551	-9.791865	1.193955	-0.850894	1.914559	-0.867907	0.265642	-2.820235
-3.141593	7.02867	-2.694893	4.372286	-3.805618	1.581119	1.079125	-3.195594	1.709289	-4.17987	1.161708	-3.193456	1.649079	-1.579673	1.104788	1.40871	-3.070711	1.624522	-5.513557	2.86253	3.015782	-7.532836	1.04884	-2.305466	3.533562	-29.710598	3.526992	-4.820774	1.701775	-4.866447	3.650631	-1.899525
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-3.141593	5.788592	-0.165218	3.823902	-2.712404	-0.07063	1.195714	-2.838458	0.405107	-2.903926	1.311314	-2.759302	0.375987	-1.898188	0.2791	1.398169	-2.676154	0.397725	-3.179156	0.273437	1.763311	-3.479375	1.122827	-2.104664	1.731884	-14.300975	1.724656	-1.630551	1.322047	-1.598378	0.661347	-1.851429
-3.141593	3.505908	3.211478	5.031038	-1.403809	-1.141393	1.359117	-1.904592	-1.497139	-1.455572	1.466549	-1.724278	-1.374859	-1.495406	-1.115319	1.445292	-1.76224	-1.405264	-1.211807	-0.886571	0.656106	-0.75121	0.797905	-0.93129	0.44248	-3.589529	0.441886	-0.073333	0.487206	-0.202223	-0.064832	-1.17779
-3.141593	4.48329	1.968716	4.217349	-1.870082	-0.897331	1.297564	-2.338384	-0.780923	-1.961646	1.406552	-2.200247	-0.7315	-1.612316	-0.600656	1.431052	-2.165002	-0.710524	-1.951115	-0.75941	1.063923	-1.590448	0.894524	-1.313607	0.79903	-6.519761	0.797135	-0.395348	0.726567	-0.49481	-0.004744	-1.376985
-3.141593	5.804339	-0.194273	3.824803	-2.724355	-0.055845	1.194349	-2.843791	0.420779	-2.917552	1.453986	-2.61809	0.44702	-3.96959	0.214537	1.265831	-2.799739	0.394676	-1.20366	0.223788	0.73956	-1.344872	2.122525	-4.31281	1.747893	-14.435798	1.745909	-1.639928	2.6367	-1.536166	0.822435	-3.32346
-3.141593	2.774901	3.942207	5.866619	-1.128528	-1.19527	1.397361	-1.557464	-1.924951	-1.162044	1.491442	-1.373401	-1.767384	-1.269767	-1.280139	1.464889	-1.42755	-1.818417	-0.922897	-0.914208	0.493644	-0.444971	0.667079	-0.619489	0.282946	-2.288099	0.282709	0.021906	0.32645	-0.103359	-0.058186	-0.96404
-3.141593	6.416146	-1.384207	3.97657	-3.225788	0.632511	1.138936	-3.03578	1.049512	-3.495732	1.307763	-2.958583	0.984209	-2.870095	1.064273	1.320595	-2.949479	0.984364	-3.067351	1.10917	1.790741	-3.849866	1.692113	-3.612267	2.49207	-20.746247	2.47468	-2.901407	2.41564	-2.706527	1.849061	-2.850367
-3.141593	4.163833	2.408363	4.440169	-1.703946	-1.00418	1.319047	-2.20118	-1.032535	-1.780051	1.386048	-2.110644	-0.996682	-0.990167	-0.463064	1.481434	-1.962106	-0.896981	-2.290882	-1.219049	1.208863	-1.72195	0.558505	-0.738837	0.659312	-5.36823	0.65856	-0.253047	0.407453	-0.376989	-0.059367	-0.860353
-3.141593	5.687248	0.01988	3.821567	-2.636596	-0.162578	1.204423	-2.803691	0.304932	-2.817655	1.306058	-2.731189	0.280576	-1.665309	0.192101	1.417142	-2.620284	0.313624	-3.292783	0.123729	1.803942	-3.519736	0.990205	-1.807624	1.632172	-13.462165	1.626643	-1.476573	1.127438	-1.471532	0.533688	-1.630886
-3.141593	5.231559	0.811768	3.882681	-2.31843	-0.51239	1.241935	-2.638325	-0.129831	-2.458731	1.478363	-2.378236	-0.045233	-3.479801	-0.564387	1.30198	-2.586182	-0.13715	-0.965618	-0.039044	0.578529	-0.944546	1.835621	-3.354857	1.24808	-10.246364	1.247545	-0.92466	1.92564	-0.930074	0.305488	-2.801987
-3.141593	6.537587	-1.634576	4.034901	-3.334313	0.798141	1.127405	-3.070163	1.178335	-3.622515	1.325275	-2.983416	1.105591	-3.355673	1.34691	1.287406	-3.008482	1.106555	-2.768707	1.186876	1.656477	-3.581534	1.94996	-4.30362	2.672035	-22.284541	2.652578	-3.224891	2.907986	-2.971093	2.235786	-3.27772
-3.141593	7.060346	-2.76592	4.399815	-3.837864	1.638326	1.075925	-3.202909	1.743975	-4.218403	1.304618	-3.151849	1.636814	-4.045497	2.438736	1.23522	-3.183243	1.648537	-2.926908	1.913783	1.815116	-4.221777	2.37441	-5.72446	3.59732	-30.264117	3.564503	-5.009759	4.123674	-4.60068	4.429728	-4.098393

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