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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 1 new columns ({'Amount'}) and 6 missing columns ({'Ignore', 'Number of trades', 'Close time', 'Taker buy quote asset volume', 'Quote asset volume', 'Taker buy base asset volume'}).

This happened while the csv dataset builder was generating data using

hf://datasets/pradip777/bitcoin/BNBUSD_1m_KuCoin.csv (at revision 3b768d6e0662fcfaec8632967e0a7a9d75c98190)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Open time: string
              Open: double
              Close: double
              High: double
              Low: double
              Volume: double
              Amount: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1043
              to
              {'Open time': Value('string'), 'Open': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Close': Value('float64'), 'Volume': Value('float64'), 'Close time': Value('string'), 'Quote asset volume': Value('float64'), 'Number of trades': Value('float64'), 'Taker buy base asset volume': Value('float64'), 'Taker buy quote asset volume': Value('float64'), 'Ignore': Value('float64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 1 new columns ({'Amount'}) and 6 missing columns ({'Ignore', 'Number of trades', 'Close time', 'Taker buy quote asset volume', 'Quote asset volume', 'Taker buy base asset volume'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/pradip777/bitcoin/BNBUSD_1m_KuCoin.csv (at revision 3b768d6e0662fcfaec8632967e0a7a9d75c98190)
              
              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.

Open time
string
Open
float64
High
float64
Low
float64
Close
float64
Volume
float64
Close time
string
Quote asset volume
float64
Number of trades
float64
Taker buy base asset volume
float64
Taker buy quote asset volume
float64
Ignore
float64
2017-11-06 03:54:00
1.5
1.5
1.5
1.5
10.83
2017-11-06 03:54:59.999
16.245
2
10.83
16.245
0
2017-11-06 03:55:00
1.3
1.3
1.3
1.3
1
2017-11-06 03:55:59.999
1.3
1
0
0
0
2017-11-06 03:56:00
1.3
1.3
0.5
0.5
19
2017-11-06 03:56:59.999
24.356
6
0.33
0.429
0
2017-11-06 03:57:00
0.5
0.61
0.5
0.61
253
2017-11-06 03:57:59.999
151.66
17
0
0
0
2017-11-06 03:58:00
1.1
1.1
1.1
1.1
85
2017-11-06 03:58:59.999
93.5
1
0
0
0
2017-11-06 03:59:00
1.23
1.799
1.23
1.7
280.29
2017-11-06 03:59:59.999
438.06042
6
196.29
334.74042
0
2017-11-06 04:00:00
1.3
1.3
1.3
1.3
90
2017-11-06 04:00:59.999
117
9
0
0
0
2017-11-06 04:01:00
1.3
1.3
1.3
1.3
0
2017-11-06 04:01:59.999
0
0
0
0
0
2017-11-06 04:02:00
1.3
1.3
1.3
1.3
0
2017-11-06 04:02:59.999
0
0
0
0
0
2017-11-06 04:03:00
1.3
1.3
1.3
1.3
0
2017-11-06 04:03:59.999
0
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0
2017-11-06 04:04:00
1.65
1.65
1.5001
1.5001
891.36
2017-11-06 04:04:59.999
1,435.3676
7
655.36
1,081.344
0
2017-11-06 04:05:00
1.5002
1.51
1.5002
1.51
615.41
2017-11-06 04:05:59.999
929.164436
5
0
0
0
2017-11-06 04:06:00
1.525
1.525
1.525
1.525
38
2017-11-06 04:06:59.999
57.95
2
0
0
0
2017-11-06 04:07:00
1.53
1.5333
1.53
1.5333
338.96
2017-11-06 04:07:59.999
518.8658
10
0
0
0
2017-11-06 04:08:00
1.5333
1.5333
1.5333
1.5333
0
2017-11-06 04:08:59.999
0
0
0
0
0
2017-11-06 04:09:00
1.5365
1.5365
1.5365
1.5365
5
2017-11-06 04:09:59.999
7.6825
1
0
0
0
2017-11-06 04:10:00
1.5375
1.5385
1.5375
1.5385
169
2017-11-06 04:10:59.999
259.8675
5
0
0
0
2017-11-06 04:11:00
1.5385
1.5385
1.5385
1.5385
0
2017-11-06 04:11:59.999
0
0
0
0
0
2017-11-06 04:12:00
1.5385
1.5385
1.5385
1.5385
0
2017-11-06 04:12:59.999
0
0
0
0
0
2017-11-06 04:13:00
1.649
1.649
1.649
1.649
210.37
2017-11-06 04:13:59.999
346.90013
1
210.37
346.90013
0
2017-11-06 04:14:00
1.54
1.54
1.54
1.54
56
2017-11-06 04:14:59.999
86.24
2
0
0
0
2017-11-06 04:15:00
1.54
1.54
1.54
1.54
0
2017-11-06 04:15:59.999
0
0
0
0
0
2017-11-06 04:16:00
1.54
1.54
1.54
1.54
0
2017-11-06 04:16:59.999
0
0
0
0
0
2017-11-06 04:17:00
1.54
1.54
1.54
1.54
0
2017-11-06 04:17:59.999
0
0
0
0
0
2017-11-06 04:18:00
1.5441
1.5441
1.5441
1.5441
0.77
2017-11-06 04:18:59.999
1.188957
1
0
0
0
2017-11-06 04:19:00
1.5441
1.5441
1.5441
1.5441
0
2017-11-06 04:19:59.999
0
0
0
0
0
2017-11-06 04:20:00
1.5441
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1.5441
1.5441
0
2017-11-06 04:20:59.999
0
0
0
0
0
2017-11-06 04:21:00
1.5442
1.5442
1.5442
1.5442
15
2017-11-06 04:21:59.999
23.163
1
0
0
0
2017-11-06 04:22:00
1.5442
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1.5442
1.5442
0
2017-11-06 04:22:59.999
0
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0
0
0
2017-11-06 04:23:00
1.5443
1.5444
1.5441
1.5444
3,519.24
2017-11-06 04:23:59.999
5,434.132093
7
681.4
1,052.217201
0
2017-11-06 04:24:00
1.5444
1.5444
1.5444
1.5444
0
2017-11-06 04:24:59.999
0
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2017-11-06 04:25:00
1.5444
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1.5444
1.5444
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2017-11-06 04:25:59.999
0
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0
0
2017-11-06 04:26:00
1.63
1.63
1.63
1.63
291.17
2017-11-06 04:26:59.999
474.6071
1
291.17
474.6071
0
2017-11-06 04:27:00
1.63
1.63
1.63
1.63
11.99
2017-11-06 04:27:59.999
19.5437
1
11.99
19.5437
0
2017-11-06 04:28:00
1.5445
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1.5445
1.5445
6
2017-11-06 04:28:59.999
9.267
1
0
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2017-11-06 04:29:00
1.5445
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1.5445
80.21
2017-11-06 04:29:59.999
123.884345
8
0
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2017-11-06 04:30:00
1.5445
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2017-11-06 04:30:59.999
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2017-11-06 04:31:00
1.5445
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2017-11-06 04:31:59.999
0
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2017-11-06 04:32:00
1.5735
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249.99
2017-11-06 04:32:59.999
393.359265
12
0
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2017-11-06 04:33:00
1.5735
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1.5735
1.5735
128
2017-11-06 04:33:59.999
201.408
8
0
0
0
2017-11-06 04:34:00
1.5735
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1.5735
1.5735
440
2017-11-06 04:34:59.999
692.34
20
0
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0
2017-11-06 04:35:00
1.5735
1.5735
1.5735
1.5735
570
2017-11-06 04:35:59.999
896.895
26
0
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2017-11-06 04:36:00
1.5735
1.5735
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2017-11-06 04:36:59.999
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2017-11-06 04:37:00
1.5735
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2017-11-06 04:37:59.999
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2017-11-06 04:38:00
1.5735
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2017-11-06 04:38:59.999
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2017-11-06 04:39:00
1.5735
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1.545
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82.95
2017-11-06 04:39:59.999
128.184825
2
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2017-11-06 04:40:00
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2017-11-06 04:40:59.999
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2017-11-06 04:41:00
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2017-11-06 04:41:59.999
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2017-11-06 04:42:00
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2017-11-06 04:42:59.999
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2017-11-06 04:43:00
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2017-11-06 04:43:59.999
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2017-11-06 04:44:00
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2017-11-06 04:44:59.999
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2017-11-06 04:45:00
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2017-11-06 04:45:59.999
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2017-11-06 04:46:00
1.545
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2017-11-06 04:46:59.999
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2017-11-06 04:47:00
1.5451
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1.5451
1.5451
22
2017-11-06 04:47:59.999
33.9922
2
0
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2017-11-06 04:48:00
1.5451
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1.5451
30
2017-11-06 04:48:59.999
46.353
2
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2017-11-06 04:49:00
1.5451
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2017-11-06 04:49:59.999
0
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2017-11-06 04:50:00
1.5451
1.5451
1.5451
1.5451
6
2017-11-06 04:50:59.999
9.2706
1
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2017-11-06 04:51:00
1.5451
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2017-11-06 04:51:59.999
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2017-11-06 04:52:00
1.5451
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2017-11-06 04:52:59.999
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2017-11-06 04:53:00
1.5451
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2017-11-06 04:53:59.999
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2017-11-06 04:54:00
1.5451
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2017-11-06 04:54:59.999
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2017-11-06 04:55:00
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2017-11-06 04:55:59.999
0
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2017-11-06 04:56:00
1.6469
1.6479
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1.6479
181.44
2017-11-06 04:56:59.999
298.988976
3
181.44
298.988976
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2017-11-06 04:57:00
1.6479
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2017-11-06 04:57:59.999
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2017-11-06 04:58:00
1.6479
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1.6479
98.86
2017-11-06 04:58:59.999
162.911394
1
98.86
162.911394
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2017-11-06 04:59:00
1.6479
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2017-11-06 04:59:59.999
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2017-11-06 05:00:00
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2017-11-06 05:00:59.999
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2017-11-06 05:01:00
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2017-11-06 05:01:59.999
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2017-11-06 05:02:00
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2017-11-06 05:02:59.999
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2017-11-06 05:03:00
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2017-11-06 05:03:59.999
20.0941
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2017-11-06 05:04:00
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2017-11-06 05:04:59.999
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2017-11-06 05:05:00
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2017-11-06 05:05:59.999
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2017-11-06 05:06:00
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2017-11-06 05:06:59.999
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2017-11-06 05:07:00
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2017-11-06 05:07:59.999
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2017-11-06 05:08:00
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2017-11-06 05:08:59.999
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2017-11-06 05:09:00
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2017-11-06 05:09:59.999
3,482.162083
6
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2017-11-06 05:10:00
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2017-11-06 05:10:59.999
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2017-11-06 05:11:00
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2017-11-06 05:11:59.999
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2017-11-06 05:12:00
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2017-11-06 05:12:59.999
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2017-11-06 05:13:00
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2017-11-06 05:13:59.999
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2017-11-06 05:14:00
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2017-11-06 05:14:59.999
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2017-11-06 05:15:00
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2017-11-06 05:15:59.999
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2017-11-06 05:16:00
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2017-11-06 05:16:59.999
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2017-11-06 05:17:00
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2017-11-06 05:17:59.999
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2017-11-06 05:18:00
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2017-11-06 05:18:59.999
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2017-11-06 05:19:00
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2017-11-06 05:19:59.999
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2017-11-06 05:20:00
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2017-11-06 05:20:59.999
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2017-11-06 05:21:00
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2017-11-06 05:21:59.999
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2017-11-06 05:22:00
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2017-11-06 05:22:59.999
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2017-11-06 05:23:00
1.5455
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2017-11-06 05:23:59.999
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2017-11-06 05:24:00
1.5455
1.5455
1.5455
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2017-11-06 05:24:59.999
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0
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2017-11-06 05:25:00
1.5455
1.5455
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2017-11-06 05:25:59.999
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2017-11-06 05:26:00
1.5455
1.5455
1.5455
1.5455
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2017-11-06 05:26:59.999
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0
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2017-11-06 05:27:00
1.5455
1.5455
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2017-11-06 05:27:59.999
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2017-11-06 05:28:00
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2017-11-06 05:28:59.999
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2017-11-06 05:29:00
1.5455
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2017-11-06 05:29:59.999
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2017-11-06 05:30:00
1.5455
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2017-11-06 05:30:59.999
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2017-11-06 05:31:00
1.5525
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1.5525
83
2017-11-06 05:31:59.999
128.8575
1
0
0
0
2017-11-06 05:32:00
1.5525
1.5525
1.5525
1.5525
0
2017-11-06 05:32:59.999
0
0
0
0
0
2017-11-06 05:33:00
1.5525
1.5525
1.5525
1.5525
200
2017-11-06 05:33:59.999
310.5
3
82.65
128.314125
0
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