Datasets:

Prarabdha
/

global_financial_data

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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 190 new columns ({'510019200000', '481161600000', '502243200000', '541555200000', '436492800000', '331257600000', '341884800000', '415324800000', '670464000000', '760060800000', '347155200000', '315532800000', '391737600000', '752112000000', '638928000000', '625881600000', '433814400000', '725846400000', '544233600000', '586396800000', '709948800000', '554774400000', '373420800000', '457488000000', '336614400000', '623203200000', '410227200000', '383788800000', '767750400000', '349833600000', '599616000000', '691545600000', '683683200000', '594345600000', '681004800000', '749433600000', '662688000000', '775699200000', '1672531200000', '728524800000', '617932800000', '773020800000', '612662400000', '473385600000', '431222400000', '607392000000', '730944000000', '320716800000', '581126400000', '483753600000', '462844800000', '418003200000', '707356800000', '736214400000', '404956800000', '449625600000', '609984000000', '507600000000', '499651200000', '660009600000', '478483200000', '762480000000', '1685577600000', '381369600000', '1693526400000', '620611200000', '602294400000', '444441600000', '717897600000', '649468800000', '688953600000', '765158400000', '362793600000', '704678400000', '780969600000', '673056000000', '1690848000000', '557452800000', '333936000000', '549504000000', '344476800000', '552096000000', '712627200000', '778377600000', '352252800000', '446947200000', '644198400000', '525916800000', '328665600000', '520560000000', '570672000000', '517968000000', '633830400000', '339206
...
00000', '667785600000', '1675209600000', '596937600000', '646790400000', '354931200000', '757382400000', '486432000000', '567993600000', '636249600000', '615254400000', '1677628800000', '738892800000', '694224000000', '578448000000', '675734400000', '325987200000', '402278400000', '699408000000', '454896000000', '428544000000', '583718400000', '754704000000', '641520000000', '733622400000', '533779200000', '723168000000', '515289600000', '665366400000', '536457600000', '1680307200000', '489024000000', '376012800000', '1688169600000', '654739200000', '423273600000', '318211200000', '565315200000', '368150400000', '604713600000', '702086400000', '657417600000', '460166400000', '476064000000', '573177600000', '512697600000', '715305600000', '360201600000', '397008000000', '531187200000', '686275200000', '365472000000', '744163200000', '496972800000', '323395200000', '631152000000', '412905600000', '420595200000', '652147200000', '678326400000', '491702400000', '389059200000', '589075200000', '407548800000', '783648000000', '357523200000', '1682899200000', '425865600000', '452217600000', '770428800000', '528508800000', '494380800000', '546825600000', '628473600000', '465436800000', '539136000000', '746841600000', '562723200000', '378691200000', '399686400000', '441763200000', '786240000000', '504921600000', '560044800000', '439084800000', '470707200000', '394329600000', '591667200000', '720576000000', '696902400000', '386467200000', '741484800000', '523238400000', '370742400000'})

This happened while the json dataset builder was generating data using

hf://datasets/Prarabdha/global_financial_data/asia_natural_gas_prices.json (at revision 3010d0a8573f9999fd5aee84ca883d761212af78)

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
              315532800000: null
              318211200000: null
              320716800000: null
              323395200000: null
              325987200000: null
              328665600000: null
              331257600000: null
              333936000000: null
              336614400000: null
              339206400000: null
              341884800000: null
              344476800000: null
              347155200000: null
              349833600000: null
              352252800000: null
              354931200000: null
              357523200000: null
              360201600000: null
              362793600000: null
              365472000000: null
              368150400000: null
              370742400000: null
              373420800000: null
              376012800000: null
              378691200000: null
              381369600000: null
              383788800000: null
              386467200000: null
              389059200000: null
              391737600000: null
              394329600000: null
              397008000000: null
              399686400000: null
              402278400000: null
              404956800000: null
              407548800000: null
              410227200000: null
              412905600000: null
              415324800000: null
              418003200000: null
              420595200000: null
              423273600000: null
              425865600000: null
              428544000000: null
              431222400000: null
              433814400000: null
              436492800000: null
              439084800000: null
              441763200000: null
              444441600000: null
              446947200000: null
              449625600000: null
              452217600000: null
              454896000000: null
              457488000000: null
              460166400000: null
              462844800000: null
              465436800000: null
              468115200000: null
              470707200000: null
              473385600000: null
              476064000000: null
              478483200000: null
              481161600000: null
              483753600000: null
              486432000000: null
              489024000000: null
              491702400000: null
              494380800000: null
              496972800000: null
              499651200000: null
              502243200000: null
              504921600000: null
              507600000000: null
              510019200000: null
              512697600000: null
              515289600000: null
              517968000000: null
              520560000000: null
              ...
              uble
              1519862400000: double
              1522540800000: double
              1525132800000: double
              1527811200000: double
              1530403200000: double
              1533081600000: double
              1535760000000: double
              1538352000000: double
              1541030400000: double
              1543622400000: double
              1546300800000: double
              1548979200000: double
              1551398400000: double
              1554076800000: double
              1556668800000: double
              1559347200000: double
              1561939200000: double
              1564617600000: double
              1567296000000: double
              1569888000000: double
              1572566400000: double
              1575158400000: double
              1577836800000: double
              1580515200000: double
              1583020800000: double
              1585699200000: double
              1588291200000: double
              1590969600000: double
              1593561600000: double
              1596240000000: double
              1598918400000: double
              1601510400000: double
              1604188800000: double
              1606780800000: double
              1609459200000: double
              1612137600000: double
              1614556800000: double
              1617235200000: double
              1619827200000: double
              1622505600000: double
              1625097600000: double
              1627776000000: double
              1630454400000: double
              1633046400000: double
              1635724800000: double
              1638316800000: double
              1640995200000: double
              1643673600000: double
              1646092800000: double
              1648771200000: double
              1651363200000: double
              1654041600000: double
              1656633600000: double
              1659312000000: double
              1661990400000: double
              1664582400000: double
              1667260800000: double
              1669852800000: double
              1672531200000: double
              1675209600000: double
              1677628800000: double
              1680307200000: double
              1682899200000: double
              1685577600000: double
              1688169600000: double
              1690848000000: double
              1693526400000: double
              1696118400000: double
              to
              {'788918400000': Value(dtype='null', id=None), '791596800000': Value(dtype='null', id=None), '794016000000': Value(dtype='null', id=None), '796694400000': Value(dtype='null', id=None), '799286400000': Value(dtype='null', id=None), '801964800000': Value(dtype='null', id=None), '804556800000': Value(dtype='null', id=None), '807235200000': Value(dtype='null', id=None), '809913600000': Value(dtype='null', id=None), '812505600000': Value(dtype='null', id=None), '815184000000': Value(dtype='null', id=None), '817776000000': Value(dtype='null', id=None), '820454400000': Value(dtype='null', id=None), '823132800000': Value(dtype='null', id=None), '825638400000': Value(dtype='null', id=None), '828316800000': Value(dtype='null', id=None), '830908800000': Value(dtype='null', id=None), '833587200000': Value(dtype='null', id=None), '836179200000': Value(dtype='null', id=None), '838857600000': Value(dtype='null', id=None), '841536000000': Value(dtype='null', id=None), '844128000000': Value(dtype='null', id=None), '846806400000': Value(dtype='null', id=None), '849398400000': Value(dtype='null', id=None), '852076800000': Value(dtype='null', id=None), '854755200000': Value(dtype='null', id=None), '857174400000': Value(dtype='null', id=None), '859852800000': Value(dtype='null', id=None), '862444800000': Value(dtype='null', id=None), '865123200000': Value(dtype='null', id=None), '867715200000': Value(dtype='null', id=None), '870393600000': Value(dtype='null', id=None), '873072000000': Value(dtype
              ...
               '1593561600000': Value(dtype='float64', id=None), '1596240000000': Value(dtype='float64', id=None), '1598918400000': Value(dtype='float64', id=None), '1601510400000': Value(dtype='float64', id=None), '1604188800000': Value(dtype='float64', id=None), '1606780800000': Value(dtype='float64', id=None), '1609459200000': Value(dtype='float64', id=None), '1612137600000': Value(dtype='float64', id=None), '1614556800000': Value(dtype='float64', id=None), '1617235200000': Value(dtype='float64', id=None), '1619827200000': Value(dtype='float64', id=None), '1622505600000': Value(dtype='float64', id=None), '1625097600000': Value(dtype='float64', id=None), '1627776000000': Value(dtype='float64', id=None), '1630454400000': Value(dtype='float64', id=None), '1633046400000': Value(dtype='float64', id=None), '1635724800000': Value(dtype='float64', id=None), '1638316800000': Value(dtype='float64', id=None), '1640995200000': Value(dtype='float64', id=None), '1643673600000': Value(dtype='float64', id=None), '1646092800000': Value(dtype='float64', id=None), '1648771200000': Value(dtype='float64', id=None), '1651363200000': Value(dtype='float64', id=None), '1654041600000': Value(dtype='float64', id=None), '1656633600000': Value(dtype='float64', id=None), '1659312000000': Value(dtype='float64', id=None), '1661990400000': Value(dtype='float64', id=None), '1664582400000': Value(dtype='float64', id=None), '1667260800000': Value(dtype='float64', id=None), '1669852800000': 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 190 new columns ({'510019200000', '481161600000', '502243200000', '541555200000', '436492800000', '331257600000', '341884800000', '415324800000', '670464000000', '760060800000', '347155200000', '315532800000', '391737600000', '752112000000', '638928000000', '625881600000', '433814400000', '725846400000', '544233600000', '586396800000', '709948800000', '554774400000', '373420800000', '457488000000', '336614400000', '623203200000', '410227200000', '383788800000', '767750400000', '349833600000', '599616000000', '691545600000', '683683200000', '594345600000', '681004800000', '749433600000', '662688000000', '775699200000', '1672531200000', '728524800000', '617932800000', '773020800000', '612662400000', '473385600000', '431222400000', '607392000000', '730944000000', '320716800000', '581126400000', '483753600000', '462844800000', '418003200000', '707356800000', '736214400000', '404956800000', '449625600000', '609984000000', '507600000000', '499651200000', '660009600000', '478483200000', '762480000000', '1685577600000', '381369600000', '1693526400000', '620611200000', '602294400000', '444441600000', '717897600000', '649468800000', '688953600000', '765158400000', '362793600000', '704678400000', '780969600000', '673056000000', '1690848000000', '557452800000', '333936000000', '549504000000', '344476800000', '552096000000', '712627200000', '778377600000', '352252800000', '446947200000', '644198400000', '525916800000', '328665600000', '520560000000', '570672000000', '517968000000', '633830400000', '339206
              ...
              00000', '667785600000', '1675209600000', '596937600000', '646790400000', '354931200000', '757382400000', '486432000000', '567993600000', '636249600000', '615254400000', '1677628800000', '738892800000', '694224000000', '578448000000', '675734400000', '325987200000', '402278400000', '699408000000', '454896000000', '428544000000', '583718400000', '754704000000', '641520000000', '733622400000', '533779200000', '723168000000', '515289600000', '665366400000', '536457600000', '1680307200000', '489024000000', '376012800000', '1688169600000', '654739200000', '423273600000', '318211200000', '565315200000', '368150400000', '604713600000', '702086400000', '657417600000', '460166400000', '476064000000', '573177600000', '512697600000', '715305600000', '360201600000', '397008000000', '531187200000', '686275200000', '365472000000', '744163200000', '496972800000', '323395200000', '631152000000', '412905600000', '420595200000', '652147200000', '678326400000', '491702400000', '389059200000', '589075200000', '407548800000', '783648000000', '357523200000', '1682899200000', '425865600000', '452217600000', '770428800000', '528508800000', '494380800000', '546825600000', '628473600000', '465436800000', '539136000000', '746841600000', '562723200000', '378691200000', '399686400000', '441763200000', '786240000000', '504921600000', '560044800000', '439084800000', '470707200000', '394329600000', '591667200000', '720576000000', '696902400000', '386467200000', '741484800000', '523238400000', '370742400000'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Prarabdha/global_financial_data/asia_natural_gas_prices.json (at revision 3010d0a8573f9999fd5aee84ca883d761212af78)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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17.975909	18.542	18.540435	19.764	19.693478	18.416364	17.319048	18.032174	18.215714	17.443636	17.979545	19.045714	18.90087	19.079524	21.33381	23.531818	21.266957	20.439	21.30913	21.927727	23.91	24.90087	23.706667	25.516364	25.198696	22.217	20.971905	19.715455	20.854545	19.155714	19.625652	19.927143	19.782273	21.263913	20.07	18.309565	16.746818	16.061	15.020455	15.252727	14.847143	13.659545	14.097826	13.362857	14.930909	14.387727	12.780476	11.266957	12.435714	12.004	14.66087	17.310909	17.743333	17.889091	20.054545	21.257273	23.797273	22.590476	25.076818	26.042609	27.224286	29.362381	29.892174	25.799	28.833478	31.859091	29.98381	31.218696	33.86	33.075	34.555	28.388095	29.482174	29.5835	27.241364	27.45381	28.610435	27.600952	26.435909	27.467826	26.211	22.210435	19.584091	19.317619	19.607391	20.7755	24.508095	26.266364	27.003913	25.521	26.93	28.381364	29.632857	28.853913	26.324762	29.548636	32.911739	35.915	33.219048	28.357727	28.223636	30.724762	30.747391	31.591905	28.451364	30.33087	30.9625	32.204348	34.146364	34.722	36.76087	36.719091	40.272857	38.041364	40.685	44.935909	45.860909	53.167143	48.532273	43.27913	46.991905	47.9905	54.093043	53.036667	49.922273	56.305455	58.705714	64.968261	65.657727	62.370476	58.311364	59.366364	65.232727	61.544	62.899565	69.6735	70.95913	70.957727	74.361429	73.048696	64.119048	58.878182	59.289091	62.028571	54.78	59.2695	60.564091	63.974762	63.513478	67.478571	74.046364	72.392174	79.633	85.926522	94.766364	91.774762	92.982609	95.361429	105.50381	112.336364	125.671364	133.928095	133.958261	116.697143	104.443636	76.283913	56.968	40.644348	41.630909	39.0785	47.98	49.905909	59.257143	69.672273	64.208696	71.064286	69.397727	75.823636	77.972381	74.625652	78.418571	76.308	81.242174	84.497727	73.842381	75.349091	76.177273	76.618182	75.273636	81.902381	84.148636	89.366957	89.52381	89.414	102.935652	110.147619	101.299091	96.288636	97.078095	86.334348	85.648182	86.411905	97.109091	98.566818	100.102273	102.297143	106.187273	103.325714	94.534783	82.400476	87.919091	94.118261	94.7045	89.596522	86.720909	88.262857	94.729565	95.3095	93.199048	92.067727	94.766957	95.7695	104.426522	106.435455	106.395238	100.556957	93.850952	97.890455	94.963043	100.705	100.568095	102.175	101.996364	105.234762	102.948261	96.317143	93.271818	84.406087	75.7075	59.139565	47.557273	50.857	47.782273	54.378636	59.388571	59.828636	51.198696	42.912857	45.51	46.268636	42.585238	37.396087	31.784286	30.377619	37.901739	41.031905	46.841818	48.791818	44.89619	44.751739	45.2	49.809524	45.470909	52.052727	52.561818	53.45	49.363043	51.174	48.559565	45.185455	46.581905	48.047826	49.735714	51.573182	56.738182	57.920476	63.584783	62.227	62.830455	66.31381	69.898696	67.87619	71.074545	67.927391	70.1905	70.753043	56.188182	48.919048	51.227391	54.996	58.170476	63.870455	60.74	54.666	57.376087	54.830455	56.86	53.96087	56.677619	59.867727	57.716957	50.608	29.320455	16.975	28.781429	38.314545	40.715217	42.370952	39.598182	39.405	41.389048	47.070435	51.849524	59.2345	62.183913	61.417727	65.160952	71.377273	72.591818	67.872273	71.535	81.364286	79.095455	71.802174	83.277619	91.608	108.39913	101.985238	109.712727	114.675909	101.918095	93.692609	84.4	87.286667	84.076364	76.581818	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	22.604348	22.2025	20.440455	18.526667	18.443043	16.697143	18.636818	27.148261	33.559	36.339565	32.395	27.12381	24.962174	20.665	19.867143	20.815909	21.265217	20.194	21.412174	21.692273	21.879524	23.245217	22.410476	19.473182	18.806957	19.0715	18.931818	20.244545	20.999048	22.405455	21.75913	21.369524	21.892727	21.707273	20.353333	19.45	19.094762	20.0825	20.336087	20.283636	19.987619	19.119545	17.882727	17.997727	17.532727	18.172381	16.693182	14.505652	15.012381	14.7655	14.653478	16.349524	17.831818	19.012727	19.617143	18.381739	17.443636	17.655714	18.085	17.206818	78.251364	77.0275	73.348261	79.1265	71.673478	70.306818	75.766667	81.372609	89.240952	85.469091	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
5.53	5.92	5.98	6.05	6.01	6	5.85	5.74	5.8	5.76	5.8	5.6	5.56	5.22	5.31	5.22	5.24	5.27	5.4	5.22	5.3	5.24	5.31	5.29	5.25	5.19	5.39	5.51	5.5	5.56	5.52	5.54	5.54	5.5	5.52	5.5	5.56	5.51	5.49	5.45	5.49	5.56	5.54	5.55	5.51	5.07	4.83	4.68	4.63	4.76	4.81	4.74	4.74	4.76	4.99	5.07	5.22	5.2	5.42	5.3	5.45	5.73	5.85	6.02	6.27	6.53	6.54	6.5	6.52	6.51	6.51	6.4	5.98	5.49	5.31	4.8	4.21	3.97	3.77	3.65	3.07	2.49	2.09	1.82	1.73	1.74	1.73	1.75	1.75	1.75	1.73	1.74	1.75	1.75	1.34	1.24	1.24	1.26	1.25	1.26	1.26	1.22	1.01	1.03	1.01	1.01	1	0.98	1	1.01	1	1	1	1.03	1.26	1.43	1.61	1.76	1.93	2.16	2.28	2.5	2.63	2.79	3	3.04	3.26	3.5	3.62	3.78	4	4.16	4.29	4.49	4.59	4.79	4.94	4.99	5.24	5.25	5.25	5.25	5.25	5.24	5.25	5.26	5.26	5.25	5.25	5.25	5.26	5.02	4.94	4.76	4.49	4.24	3.94	2.98	2.61	2.28	1.98	2	2.01	2	1.81	0.97	0.39	0.16	0.15	0.22	0.18	0.15	0.18	0.21	0.16	0.16	0.15	0.12	0.12	0.12	0.11	0.13	0.16	0.2	0.2	0.18	0.18	0.19	0.19	0.19	0.19	0.18	0.17	0.16	0.14	0.1	0.09	0.09	0.07	0.1	0.08	0.07	0.08	0.07	0.08	0.1	0.13	0.14	0.16	0.16	0.16	0.13	0.14	0.16	0.16	0.16	0.14	0.15	0.14	0.15	0.11	0.09	0.09	0.08	0.08	0.09	0.08	0.09	0.07	0.07	0.08	0.09	0.09	0.1	0.09	0.09	0.09	0.09	0.09	0.12	0.11	0.11	0.11	0.12	0.12	0.13	0.13	0.14	0.14	0.12	0.12	0.24	0.34	0.38	0.36	0.37	0.37	0.38	0.39	0.4	0.4	0.4	0.41	0.54	0.65	0.66	0.79	0.9	0.91	1.04	1.15	1.16	1.15	1.15	1.16	1.3	1.41	1.42	1.51	1.69	1.7	1.82	1.91	1.91	1.95	2.19	2.2	2.27	2.4	2.4	2.41	2.42	2.39	2.38	2.4	2.13	2.04	1.83	1.55	1.55	1.55	1.58	0.65	0.05	0.05	0.08	0.09	0.1	0.09	0.09	0.09	0.09	0.09	0.08	0.07	0.07	0.06	0.08	0.1	0.09	0.08	0.08	0.08	0.08	0.08	0.08	0.2	0.33	0.77	1.21	1.68	2.33	2.56	3.08	3.78	4.1	13.82	14.13	17.19	17.61	10.98	9.47	9.03	9.61	10.87	12.81	15.85	18.9	19.08	15.93	14.7	15.72	18.52	19.1	19.04	17.82	15.87	15.08	13.31	12.37	13.22	14.78	14.68	14.94	14.45	14.15	12.59	10.12	10.31	9.71	9.2	8.95	8.68	8.51	8.77	8.8	8.63	8.98	9.37	9.56	9.45	9.48	9.34	9.47	9.56	9.59	9.91	10.29	10.32	11.06	11.23	11.64	11.3	9.99	9.43	8.38	8.35	8.5	8.58	8.27	7.97	7.53	7.88	7.9	7.92	7.99	8.05	8.27	8.14	7.86	7.48	6.99	6.85	6.92	6.56	6.17	5.89	5.85	6.04	6.91	6.43	6.1	6.13	6.37	6.85	6.73	6.58	6.73	7.22	7.29	6.69	6.77	6.83	6.58	6.58	6.87	7.09	7.51	7.75	8.01	8.19	8.3	8.35	8.76	9.12	9.36	9.85	9.84	9.81	9.53	9.24	8.99	9.02	8.84	8.55	8.45	8.23	8.24	8.28	8.26	8.18	8.29	8.15	8.13	8.2	8.11	7.81	7.31	6.91	6.25	6.12	5.91	5.78	5.9	5.82	5.66	5.45	5.21	4.81	4.43	4.03	4.06	3.98	3.73	3.82	3.76	3.25	3.3	3.22	3.1	3.09	2.92	3.02	3.03	3.07	2.96	3	3.04	3.06	3.03	3.09	2.99	3.02	2.96	3.05	3.25	3.34	3.56	4.01	4.25	4.26	4.47	4.73	4.76	5.29	5.45	4.33	4.57	4.65	4.83	5.06	5.08	5.12	5.33	5.33	5.33	5.33	0.8	1.22	1.07	0.85	0.83	1.28	1.39	1.29	1.35	1.43	1.43	1.64	1.68	1.96	2.18	2.24	2.35	2.48	2.45	2.5	2.5	2.62	2.75	2.71	2.75	2.73	2.95	2.96	2.88	2.94	2.84	3	2.96	3	3	3	2.99	3.24	3.47	3.5	3.28	2.98	2.72	1.67	1.2	1.26	0.63	0.93	0.68	1.53	1.76	1.8	2.27	2.42	2.48	2.43	2.8	2.96	2.9	3.39	3.47	3.5	3.76	3.98	4	3.99	3.99	3.97	3.84	3.92	3.85	3.32	3.23	2.98	2.6	2.47	2.44	1.98	1.45	2.54	2.02	1.49	1.98	1.73	1.17	2	1.88	2.26	2.61	2.33	2.15	2.37	2.85	2.78	2.36	2.68	2.71	2.93	2.9	2.9	2.94	2.93	2.92	3	2.98	2.9	3	2.99	3.02	3.49	3.48	3.5	3.48	3.38	3.48	3.48	3.43	3.47	3.5	3.5	3.42	3.5	3.45	3.36	3.52	3.85	3.9	3.98	4.05	4.09	4.1	4.05	4.09	4.12	4.02	4.08	4.1	4.32	4.42	4.6	4.66	4.67	4.9	5.17	5.3	5.53	5.4	5.53	5.76	5.4	4.94	5	4.53	4.05	3.94	3.98	3.79	3.9	3.99	3.88	4.13	4.51	4.61	4.71	5.05	5.76	6.12	6.07	6.03	6.03	5.78	5.91	5.82	6.02	6.3	6.61	6.79	7.41	8.67	8.9	8.61	9.19	9.15	9	8.85	8.97	8.98	8.98	7.76	8.1	7.95	7.61	7.21	6.62	6.29	6.2	5.6	4.9	4.14	3.72	3.71	4.16	4.63	4.91	5.31	5.57	5.55	5.2	4.91	4.14	3.51	3.3	3.83	4.17	4.27	4.46	4.55	4.81	4.87	5.05	5.06	5.33	5.94	6.58	7.09	7.12	7.84	8.49	10.4	10.5	10.78	10.01	10.03	9.95	9.65	8.97	9.35	10.51	11.31	11.93	12.92	12.01	11.34	10.06	9.45	8.53	7.13	6.24	5.54	5.49	5.22	5.55	6.1	6.14	6.24	5.82	5.22	5.2	4.87	4.77	4.84	4.82	5.29	5.48	5.31	5.29	5.25	5.02	4.95	4.65	4.61	4.68	4.69	4.73	5.35	5.39	5.42	5.9	6.14	6.47	6.51	6.56	6.7	6.78	6.79	6.89	7.36	7.6	7.81	8.04	8.45	8.96	9.76	10.03	10.07	10.06	10.09	10.01	10.24	10.29	10.47	10.94	11.43	13.77	13.18	13.78
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