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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 128 new columns ({'113.2953014', '150.6271696.1', '162.442315.1', '16.02638608', '150.6271696', '3.971075113', '50.94627963.1', '301.8796458.1', '180.9330657', '10.71147256', '118.2772787.1', '18.79031841.1', '12.5186868', '16.6219877.1', '45.34876153.1', '39.42780042', '27.43232063', '35.70051417', '15.72768362.1', '39.70700968.1', '16.02638608.1', '35.70051417.1', '69.18349988.1', '12.5186868.1', '57.30522863', '158.3233419.1', '39.70700968', '83.1676083.1', '16.43270281', '13.21586594.1', '301.8796458', '123.011895.1', '113.2953014.1', '3.878389807', '27.60550438', '13.03054005.1', '76.16660013', '52.78847874', '56.69487267', '235.460873.1', '7.189671279', '17.98037682', '87.48460409.1', '551653.39', '288.0212682.1', '14.26235526', '412.0846651.1', '151.4202936', '13.21586594', '10.84912405.1', '76.16660013.1', '27.60550438.1', '69.51353899.1', '53.62099635.1', '78.84811723', '76.60076828', '87.48460409', '185.613998.1', '3.878389807.1', '192.2974704', '12.95065557', '18.65148541', '135.1347491.1', '17.98037682.1', '19.47', '36.71297022.1', '162.442315', '135.1347491', '57.30522863.1', '151.4202936.1', '187.1854884', '174.6049723', '90.28004379', '69.18349988', '118.2772787', '185.613998', '13.51989843', '123.011895', '16.6219877', '13.51989843.1', '139.8575998', '87.16112952', '35.65481235', '11.04163208.1', '139.8575998.1', '180.9330657.1', '69.51353899', '35.65481235.1', '7.189671279.1', '187.1854884.1', '288.0212682', '23.43682744', '14.26235526.1', '15.94360995', '56.69487267.1', '39.42780042.1', '23.43682744.1', '15.72768362', '13.03054005', '412.0846651', '192.2974704.1', '83.1676083', '45.34876153', '3.971075113.1', '76.60076828.1', '158.3233419', '78.84811723.1', '87.16112952.1', '52.78847874.1', '41.48834585', '10.84912405', '27.43232063.1', '235.460873', '50.94627963', '11.04163208', '18.79031841', '16.43270281.1', '53.62099635', '18.65148541.1', '41.48834585.1', '14.92125632', '15.94360995.1', '12.95065557.1', '10.71147256.1', '14.92125632.1', '90.28004379.1', '36.71297022', '174.6049723.1'}) and 16 missing columns ({'4289.23', '4329.23', '1', '4238.46', '4280.51', '4635.9', '4009.23', '4641.03', '4148.21', '4393.85', '4096.92', '4211.28', '4350.26', '4586.15', '4222.05', '0'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Nerlnet/EEG_Eye_State_Classification/EEG_Eye_State_Classification_table_freq_window.csv (at revision 97c351d501b784d54759adba8a49fb417332a146)

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
              551653.39: double
              235.460873: double
              187.1854884: double
              301.8796458: double
              135.1347491: double
              113.2953014: double
              174.6049723: double
              53.62099635: double
              412.0846651: double
              56.69487267: double
              288.0212682: double
              151.4202936: double
              139.8575998: double
              52.78847874: double
              158.3233419: double
              78.84811723: double
              90.28004379: double
              162.442315: double
              69.18349988: double
              180.9330657: double
              185.613998: double
              36.71297022: double
              57.30522863: double
              76.60076828: double
              118.2772787: double
              3.878389807: double
              11.04163208: double
              150.6271696: double
              192.2974704: double
              123.011895: double
              41.48834585: double
              27.43232063: double
              87.16112952: double
              83.1676083: double
              69.51353899: double
              27.60550438: double
              87.48460409: double
              39.42780042: double
              50.94627963: double
              76.16660013: double
              39.70700968: double
              7.189671279: double
              35.70051417: double
              35.65481235: double
              23.43682744: double
              45.34876153: double
              3.971075113: double
              17.98037682: double
              10.84912405: double
              10.71147256: double
              13.21586594: double
              13.03054005: double
              12.95065557: double
              13.51989843: double
              15.72768362: double
              12.5186868: double
              14.92125632: double
              18.65148541: double
              15.94360995: double
              16.02638608: double
              18.79031841: double
              16.43270281: double
              14.26235526: double
              16.6219877: double
              19.47: double
              16.6219877.1: double
              14.26235526.1: double
              16.43270281.1: double
              18.79031841.1: double
              16.02638608.1: double
              15.94360995.1: double
              18.65148541.1: double
              14.92125632.1: double
              12.5186868.1: double
              15.72768362.1: double
              13.51989843.1: double
              12.95065557.1: double
              13.03054005.1: double
              13.21586594.1: double
              10.71147256.1: double
              10.84912405.1: double
              17.98037682.1: double
              3.971075113.1: double
              45.34876153.1: double
              23.43682744.1: double
              35.65481235.1: double
              35.70051417.1: double
              7.189671279.1: double
              39.70700968.1: double
              76.16660013.1: double
              50.94627963.1: double
              39.42780042.1: double
              87.48460409.1: double
              27.60550438.1: double
              69.51353899.1: double
              83.1676083.1: double
              87.16112952.1: double
              27.43232063.1: double
              41.48834585.1: double
              123.011895.1: double
              192.2974704.1: double
              150.6271696.1: double
              11.04163208.1: double
              3.878389807.1: double
              118.2772787.1: double
              76.60076828.1: double
              57.30522863.1: double
              36.71297022.1: double
              185.613998.1: double
              180.9330657.1: double
              69.18349988.1: double
              162.442315.1: double
              90.28004379.1: double
              78.84811723.1: double
              158.3233419.1: double
              52.78847874.1: double
              139.8575998.1: double
              151.4202936.1: double
              288.0212682.1: double
              56.69487267.1: double
              412.0846651.1: double
              53.62099635.1: double
              174.6049723.1: double
              113.2953014.1: double
              135.1347491.1: double
              301.8796458.1: double
              187.1854884.1: double
              235.460873.1: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 16213
              to
              {'4329.23': Value(dtype='float64', id=None), '4009.23': Value(dtype='float64', id=None), '4289.23': Value(dtype='float64', id=None), '4148.21': Value(dtype='float64', id=None), '4350.26': Value(dtype='float64', id=None), '4586.15': Value(dtype='float64', id=None), '4096.92': Value(dtype='float64', id=None), '4641.03': Value(dtype='float64', id=None), '4222.05': Value(dtype='float64', id=None), '4238.46': Value(dtype='float64', id=None), '4211.28': Value(dtype='float64', id=None), '4280.51': Value(dtype='float64', id=None), '4635.9': Value(dtype='float64', id=None), '4393.85': Value(dtype='float64', id=None), '0': Value(dtype='int64', id=None), '1': Value(dtype='int64', 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 1324, 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 938, 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 128 new columns ({'113.2953014', '150.6271696.1', '162.442315.1', '16.02638608', '150.6271696', '3.971075113', '50.94627963.1', '301.8796458.1', '180.9330657', '10.71147256', '118.2772787.1', '18.79031841.1', '12.5186868', '16.6219877.1', '45.34876153.1', '39.42780042', '27.43232063', '35.70051417', '15.72768362.1', '39.70700968.1', '16.02638608.1', '35.70051417.1', '69.18349988.1', '12.5186868.1', '57.30522863', '158.3233419.1', '39.70700968', '83.1676083.1', '16.43270281', '13.21586594.1', '301.8796458', '123.011895.1', '113.2953014.1', '3.878389807', '27.60550438', '13.03054005.1', '76.16660013', '52.78847874', '56.69487267', '235.460873.1', '7.189671279', '17.98037682', '87.48460409.1', '551653.39', '288.0212682.1', '14.26235526', '412.0846651.1', '151.4202936', '13.21586594', '10.84912405.1', '76.16660013.1', '27.60550438.1', '69.51353899.1', '53.62099635.1', '78.84811723', '76.60076828', '87.48460409', '185.613998.1', '3.878389807.1', '192.2974704', '12.95065557', '18.65148541', '135.1347491.1', '17.98037682.1', '19.47', '36.71297022.1', '162.442315', '135.1347491', '57.30522863.1', '151.4202936.1', '187.1854884', '174.6049723', '90.28004379', '69.18349988', '118.2772787', '185.613998', '13.51989843', '123.011895', '16.6219877', '13.51989843.1', '139.8575998', '87.16112952', '35.65481235', '11.04163208.1', '139.8575998.1', '180.9330657.1', '69.51353899', '35.65481235.1', '7.189671279.1', '187.1854884.1', '288.0212682', '23.43682744', '14.26235526.1', '15.94360995', '56.69487267.1', '39.42780042.1', '23.43682744.1', '15.72768362', '13.03054005', '412.0846651', '192.2974704.1', '83.1676083', '45.34876153', '3.971075113.1', '76.60076828.1', '158.3233419', '78.84811723.1', '87.16112952.1', '52.78847874.1', '41.48834585', '10.84912405', '27.43232063.1', '235.460873', '50.94627963', '11.04163208', '18.79031841', '16.43270281.1', '53.62099635', '18.65148541.1', '41.48834585.1', '14.92125632', '15.94360995.1', '12.95065557.1', '10.71147256.1', '14.92125632.1', '90.28004379.1', '36.71297022', '174.6049723.1'}) and 16 missing columns ({'4289.23', '4329.23', '1', '4238.46', '4280.51', '4635.9', '4009.23', '4641.03', '4148.21', '4393.85', '4096.92', '4211.28', '4350.26', '4586.15', '4222.05', '0'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Nerlnet/EEG_Eye_State_Classification/EEG_Eye_State_Classification_table_freq_window.csv (at revision 97c351d501b784d54759adba8a49fb417332a146)
              
              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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4329.23
float64
4009.23
float64
4289.23
float64
4148.21
float64
4350.26
float64
4586.15
float64
4096.92
float64
4641.03
float64
4222.05
float64
4238.46
float64
4211.28
float64
4280.51
float64
4635.9
float64
4393.85
float64
0
int64
1
int64
4,324.62
4,004.62
4,293.85
4,148.72
4,342.05
4,586.67
4,097.44
4,638.97
4,210.77
4,226.67
4,207.69
4,279.49
4,632.82
4,384.1
0
1
4,327.69
4,006.67
4,295.38
4,156.41
4,336.92
4,583.59
4,096.92
4,630.26
4,207.69
4,222.05
4,206.67
4,282.05
4,628.72
4,389.23
0
1
4,328.72
4,011.79
4,296.41
4,155.9
4,343.59
4,582.56
4,097.44
4,630.77
4,217.44
4,235.38
4,210.77
4,287.69
4,632.31
4,396.41
0
1
4,326.15
4,011.79
4,292.31
4,151.28
4,347.69
4,586.67
4,095.9
4,627.69
4,210.77
4,244.1
4,212.82
4,288.21
4,632.82
4,398.46
0
1
4,321.03
4,004.62
4,284.1
4,153.33
4,345.64
4,587.18
4,093.33
4,616.92
4,202.56
4,232.82
4,209.74
4,281.03
4,628.21
4,389.74
0
1
4,319.49
4,001.03
4,280.51
4,151.79
4,343.59
4,584.62
4,089.74
4,615.9
4,212.31
4,226.67
4,201.03
4,269.74
4,625.13
4,378.46
0
1
4,325.64
4,006.67
4,278.46
4,143.08
4,344.1
4,583.08
4,087.18
4,614.87
4,205.64
4,230.26
4,195.9
4,266.67
4,622.05
4,380.51
0
1
4,326.15
4,010.77
4,276.41
4,139.49
4,345.13
4,584.1
4,091.28
4,608.21
4,187.69
4,229.74
4,202.05
4,273.85
4,627.18
4,389.74
0
1
4,326.15
4,011.28
4,276.92
4,142.05
4,344.1
4,582.56
4,092.82
4,608.72
4,194.36
4,228.72
4,212.82
4,277.95
4,637.44
4,393.33
0
1
4,326.15
4,010.77
4,272.82
4,143.08
4,342.56
4,579.49
4,087.69
4,615.9
4,206.15
4,228.72
4,210.77
4,272.82
4,631.79
4,382.56
0
1
4,316.92
4,002.56
4,259.49
4,135.9
4,339.49
4,581.54
4,086.15
4,615.38
4,195.9
4,223.59
4,197.44
4,262.05
4,613.33
4,370.77
0
1
4,308.21
3,993.33
4,247.69
4,124.62
4,335.9
4,584.62
4,089.74
4,610.26
4,188.72
4,221.54
4,190.26
4,255.9
4,606.15
4,369.74
0
1
4,308.21
3,998.46
4,251.79
4,122.56
4,338.46
4,584.62
4,091.28
4,616.92
4,205.64
4,225.64
4,194.36
4,263.59
4,610.26
4,371.28
0
1
4,312.82
4,006.15
4,260.51
4,127.69
4,341.03
4,586.15
4,089.74
4,628.72
4,215.9
4,225.13
4,198.97
4,274.36
4,611.79
4,375.9
0
1
4,313.85
4,003.59
4,255.9
4,127.69
4,337.95
4,586.15
4,091.28
4,627.69
4,206.15
4,224.62
4,199.49
4,269.23
4,610.26
4,378.97
0
1
4,306.67
3,997.95
4,247.18
4,122.56
4,336.92
4,584.1
4,094.36
4,620.51
4,202.56
4,226.15
4,193.85
4,254.36
4,606.15
4,369.74
0
1
4,303.59
3,996.41
4,249.23
4,122.05
4,341.03
4,584.1
4,090.77
4,616.41
4,203.59
4,226.15
4,189.23
4,253.85
4,606.15
4,370.26
0
1
4,312.31
4,000
4,255.9
4,124.1
4,342.05
4,586.67
4,085.64
4,610.77
4,192.31
4,223.08
4,192.31
4,264.62
4,614.87
4,382.05
0
1
4,315.9
4,003.59
4,257.44
4,122.56
4,341.54
4,588.21
4,088.21
4,607.18
4,188.21
4,216.92
4,200
4,270.26
4,621.54
4,378.97
0
1
4,314.36
4,005.64
4,259.49
4,123.59
4,345.13
4,588.21
4,092.31
4,612.82
4,206.67
4,222.56
4,209.74
4,272.31
4,624.62
4,381.54
0
1
4,324.62
4,012.82
4,263.08
4,132.31
4,343.08
4,587.18
4,091.79
4,617.95
4,213.33
4,240.51
4,217.95
4,274.36
4,632.31
4,400.51
0
1
4,331.28
4,024.1
4,266.15
4,140
4,336.41
4,585.64
4,089.74
4,617.95
4,204.62
4,245.13
4,216.41
4,274.36
4,638.97
4,401.54
0
1
4,326.67
4,020
4,264.1
4,137.44
4,334.36
4,586.15
4,088.21
4,621.54
4,213.33
4,238.46
4,208.72
4,271.28
4,634.36
4,385.13
0
1
4,321.54
4,007.69
4,260
4,132.31
4,340
4,585.64
4,087.18
4,630.26
4,230.26
4,242.56
4,208.72
4,270.26
4,627.69
4,378.97
0
1
4,317.44
4,007.69
4,257.44
4,128.72
4,343.59
4,585.13
4,088.21
4,638.97
4,231.79
4,247.69
4,209.23
4,269.74
4,625.13
4,386.15
0
1
4,311.79
4,007.18
4,250.77
4,125.13
4,336.41
4,587.18
4,087.69
4,634.36
4,209.23
4,232.31
4,197.44
4,262.05
4,615.38
4,381.03
0
1
4,308.72
4,000
4,245.13
4,121.54
4,329.23
4,585.64
4,086.67
4,617.44
4,189.23
4,216.41
4,186.15
4,253.85
4,604.1
4,362.05
0
1
4,308.21
4,002.05
4,252.82
4,122.56
4,332.82
4,582.56
4,087.69
4,610.77
4,192.82
4,216.41
4,189.74
4,256.92
4,605.13
4,360
0
1
4,311.28
4,011.28
4,265.13
4,130.26
4,339.49
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4,616.41
4,200
4,220.51
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0
1
4,311.28
4,008.72
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4,337.44
4,585.64
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0
1
4,306.15
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4,259.49
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4,085.64
4,607.18
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4,200
4,263.08
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0
1
4,307.18
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0
1
4,314.87
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4,092.31
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4,624.62
4,382.56
0
1
4,313.85
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4,124.1
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4,207.18
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0
1
4,308.21
3,997.44
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4,119.49
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4,097.95
4,628.21
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4,268.72
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4,368.21
0
1
4,308.72
4,006.15
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4,121.03
4,330.26
4,585.64
4,082.05
4,614.87
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4,236.41
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0
1
4,306.15
4,007.69
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4,579.49
4,077.44
4,607.69
4,186.67
4,224.62
4,198.97
4,267.18
4,622.56
4,367.18
0
1
4,297.44
3,992.82
4,249.74
4,118.46
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4,581.03
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4,187.18
4,258.97
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4,363.59
0
1
4,301.03
3,994.36
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4,332.82
4,583.08
4,087.69
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4,260.51
4,601.03
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0
1
4,313.85
4,010.77
4,260
4,124.62
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4,203.59
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4,613.33
4,370.77
0
1
4,317.44
4,010.77
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4,584.1
4,094.36
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4,201.54
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0
1
4,305.64
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4,620
4,200
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1
4,296.92
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4,324.62
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1
4,298.97
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4,247.69
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4,087.18
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4,220.51
4,224.1
4,205.64
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4,363.08
0
1
4,302.56
4,006.67
4,249.74
4,120.51
4,342.05
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4,627.69
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4,217.95
4,274.87
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0
1
4,308.72
4,006.15
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4,118.46
4,333.85
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4,633.33
4,376.92
0
1
4,315.38
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4,583.59
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4,240
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0
1
4,317.95
4,004.62
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4,087.18
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1
4,316.41
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0
1
4,305.13
4,008.72
4,259.49
4,120
4,341.03
4,595.9
4,092.82
4,612.31
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4,611.79
4,357.95
0
1
4,293.33
3,994.87
4,254.36
4,116.41
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4,211.79
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4,347.69
0
1
4,297.44
3,994.36
4,258.46
4,118.97
4,336.92
4,594.36
4,096.92
4,614.36
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4,192.31
4,260.51
4,602.05
4,350.77
0
1
4,308.21
4,007.18
4,268.21
4,126.15
4,344.62
4,595.38
4,102.05
4,622.56
4,205.13
4,221.54
4,205.13
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4,374.87
0
1
4,315.9
4,021.03
4,277.95
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4,346.15
4,591.28
4,095.9
4,620
4,208.72
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4,212.31
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4,625.64
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0
1
4,329.23
4,026.15
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4,141.03
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4,203.59
4,233.85
4,213.33
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4,630.77
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0
1
4,335.9
4,024.62
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4,144.1
4,336.41
4,591.28
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4,274.87
4,631.28
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1
4,324.62
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1
4,314.87
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4,602.05
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1
4,312.82
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4,266.15
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4,333.33
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4,218.46
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0
1
4,312.31
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4,600.51
4,099.49
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4,209.23
4,240.51
4,213.33
4,276.41
4,621.54
4,380
0
1
4,312.82
4,010.26
4,268.72
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4,602.05
4,095.9
4,629.74
4,214.36
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4,375.9
0
1
4,308.21
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4,264.62
4,121.54
4,333.85
4,601.03
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4,631.79
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4,278.97
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4,363.08
0
1
4,299.49
4,002.56
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4,268.72
4,602.56
4,358.46
0
1
4,296.41
4,004.1
4,263.59
4,122.05
4,342.05
4,590.77
4,082.05
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4,176.92
4,211.28
4,194.36
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4,360.51
0
1
4,303.59
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4,598.97
4,087.69
4,612.82
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4,198.46
4,274.36
4,601.03
4,358.46
0
1
4,313.33
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4,268.72
4,136.92
4,342.56
4,595.38
4,091.28
4,623.08
4,207.69
4,222.05
4,206.15
4,283.08
4,607.69
4,362.56
0
1
4,316.41
4,014.36
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4,337.95
4,583.59
4,085.64
4,614.87
4,198.46
4,234.87
4,212.31
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4,620
4,378.46
0
1
4,320
4,017.44
4,284.1
4,137.95
4,337.44
4,586.15
4,086.67
4,612.31
4,198.97
4,242.56
4,217.95
4,284.62
4,626.67
4,389.74
0
1
4,328.21
4,021.03
4,283.08
4,141.03
4,332.82
4,599.49
4,100
4,630.26
4,217.95
4,248.21
4,226.67
4,291.79
4,632.82
4,388.72
0
1
4,325.13
4,019.49
4,281.54
4,136.41
4,327.69
4,606.15
4,109.74
4,638.46
4,218.97
4,242.56
4,228.21
4,300
4,636.41
4,383.59
0
1
4,312.82
4,010.26
4,282.05
4,129.74
4,331.28
4,606.67
4,108.72
4,628.72
4,212.31
4,233.85
4,221.54
4,300
4,629.74
4,380
0
1
4,309.74
4,005.64
4,278.46
4,133.33
4,335.38
4,606.15
4,105.13
4,628.21
4,216.92
4,237.44
4,214.87
4,291.28
4,620.51
4,372.82
0
1
4,307.18
4,005.13
4,269.23
4,130.26
4,334.36
4,607.18
4,103.08
4,629.23
4,211.28
4,233.85
4,205.64
4,278.46
4,612.31
4,360
0
1
4,300
4,000.51
4,260
4,121.54
4,333.85
4,602.05
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4,612.82
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4,222.05
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4,269.74
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0
1
4,299.49
3,996.92
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4,337.95
4,590.26
4,086.15
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4,225.64
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4,266.15
4,607.18
4,352.82
0
1
4,292.82
4,000
4,249.74
4,130.26
4,340.51
4,588.21
4,082.56
4,596.92
4,183.08
4,230.26
4,195.9
4,263.08
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4,356.41
0
1
4,281.54
4,001.54
4,245.64
4,120
4,334.87
4,595.9
4,080.51
4,592.82
4,178.46
4,214.87
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4,257.95
4,605.64
4,347.69
0
1
4,288.21
4,000
4,244.62
4,118.97
4,334.36
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4,183.08
4,204.62
4,188.21
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4,345.64
0
1
4,301.54
4,005.64
4,251.28
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4,606.15
4,088.21
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4,192.31
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0
1
4,299.49
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4,260
4,140.51
4,349.74
4,612.82
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4,625.64
4,214.87
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4,196.92
4,271.28
4,603.59
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0
1
4,295.38
4,015.38
4,262.56
4,137.44
4,347.18
4,614.87
4,090.26
4,620
4,210.77
4,233.85
4,196.92
4,268.21
4,605.64
4,358.97
0
1
4,307.18
4,016.41
4,267.69
4,138.46
4,348.72
4,615.9
4,093.85
4,625.13
4,220
4,233.85
4,200.51
4,275.38
4,614.36
4,365.13
0
1
4,318.97
4,021.54
4,277.44
4,141.54
4,348.72
4,612.31
4,099.49
4,632.82
4,224.1
4,244.1
4,214.36
4,288.72
4,629.74
4,371.28
0
1
4,317.44
4,021.54
4,281.54
4,140.51
4,347.69
4,606.67
4,095.38
4,625.13
4,206.67
4,252.82
4,222.56
4,294.36
4,640
4,381.03
0
1
4,313.33
4,011.28
4,278.46
4,136.41
4,345.13
4,608.72
4,090.26
4,611.79
4,190.26
4,241.54
4,214.87
4,289.74
4,632.82
4,380
0
1
4,314.87
4,002.56
4,271.79
4,134.36
4,335.38
4,609.74
4,093.85
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4,189.74
4,222.05
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4,622.05
4,367.18
0
1
4,314.36
4,009.23
4,271.28
4,137.44
4,334.87
4,604.62
4,097.95
4,613.85
4,201.54
4,224.62
4,206.67
4,283.59
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0
1
4,312.31
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4,277.44
4,142.05
4,346.15
4,606.15
4,096.92
4,622.05
4,213.85
4,240
4,217.44
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4,380
0
1
4,311.79
4,013.33
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4,138.97
4,346.15
4,608.21
4,094.87
4,623.59
4,213.85
4,243.59
4,221.54
4,290.77
4,635.38
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0
1
4,306.15
4,002.56
4,277.44
4,135.38
4,339.49
4,602.05
4,094.36
4,625.13
4,208.72
4,237.44
4,216.41
4,288.72
4,628.21
4,366.15
0
1
4,301.54
4,001.03
4,274.36
4,135.38
4,341.03
4,600
4,088.72
4,628.72
4,210.77
4,236.41
4,209.74
4,284.1
4,623.08
4,369.23
0
1
4,308.72
4,009.74
4,268.72
4,136.92
4,343.59
4,608.21
4,083.08
4,625.64
4,213.33
4,241.54
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4,282.05
4,624.62
4,366.67
0
1
4,315.38
4,021.54
4,267.18
4,140.51
4,347.18
4,613.33
4,089.23
4,621.03
4,209.74
4,238.46
4,213.85
4,282.05
4,625.13
4,359.49
0
1
4,306.67
4,016.92
4,268.72
4,142.05
4,350.77
4,609.23
4,097.44
4,620.51
4,203.59
4,226.67
4,206.15
4,277.44
4,616.41
4,351.79
0
1
4,296.41
4,003.59
4,262.56
4,136.92
4,340.51
4,605.13
4,096.41
4,619.49
4,197.44
4,214.36
4,193.33
4,270.77
4,607.18
4,347.18
0
1
4,298.97
4,006.15
4,265.64
4,131.79
4,329.23
4,604.62
4,088.72
4,612.82
4,194.87
4,211.79
4,196.92
4,276.41
4,613.85
4,358.97
0
1
4,314.87
4,018.97
4,283.08
4,142.05
4,337.95
4,600
4,084.1
4,608.72
4,201.54
4,226.67
4,215.38
4,293.33
4,629.74
4,377.95
0
1
4,323.08
4,019.49
4,289.74
4,151.79
4,345.13
4,596.92
4,083.08
4,613.85
4,211.28
4,244.62
4,224.1
4,300.51
4,635.9
4,378.97
0
1
4,309.74
4,008.21
4,281.03
4,141.03
4,334.36
4,602.05
4,084.62
4,618.97
4,212.82
4,242.05
4,213.33
4,289.74
4,625.64
4,363.59
0
1
4,296.41
4,000.51
4,274.87
4,131.79
4,331.79
4,603.08
4,086.67
4,622.05
4,209.23
4,228.72
4,204.1
4,280
4,614.36
4,356.41
0
1
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