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| 1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1.000000000 |
| 2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2.000000000 |
| 3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3.000000000 |
| 4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4.000000000 |
| 5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5.000000000 |
| 6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6.000000000 |
| 7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7.000000000 |
| 8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.800000000000001 char8 8.000000000 |
| 9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9.000000000 |
| 10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10.000000000 |
| 11 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11.000000000 |
| 12 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12.000000000 |
| 13 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13.000000000 |
| 14 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14.000000000 |
| 15 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15.000000000 |
| 16 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16.000000000 |
| 17 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17.000000000 |
| 18 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18.000000000 |
| 19 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19.000000000 |
| 20 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20.000000000 |
| 21 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21.000000000 |
| 22 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22.000000000 |
| 23 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23.000000000 |
| 24 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24.000000000 |
| 25 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25.000000000 |
| 26 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26.000000000 |
| 27 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27.000000000 |
| 28 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28.000000000 |
| 29 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29.000000000 |
| 30 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30.000000000 |
| 31 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31.000000000 |
| 32 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32.000000000 |
| 33 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33.000000000 |
| 34 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34.000000000 |
| 35 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35.000000000 |
| 36 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36.000000000 |
| 37 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37.000000000 |
| 38 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38.000000000 |
| 39 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39.000000000 |
| 40 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40.000000000 |
| 41 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41.000000000 |
| 42 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42.000000000 |
| 43 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43.000000000 |
| 44 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44.000000000 |
| 45 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45.000000000 |
| 46 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46.000000000 |
| 47 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47.000000000 |
| 48 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48.000000000 |
| 49 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49.000000000 |
| 50 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50.000000000 |
| 51 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51.000000000 |
| 52 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52.000000000 |
| 53 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53.000000000 |
| 54 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54.000000000 |
| 55 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55.000000000 |
| 56 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56.000000000 |
| 57 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57.000000000 |
| 58 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58.000000000 |
| 59 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59.000000000 |
| 60 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60.000000000 |
| 61 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61.000000000 |
| 62 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62.000000000 |
| 63 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63.000000000 |
| 64 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64.000000000 |
| 65 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 65 65 true 65 65 65 65.65 65.65000000000001 char65 65.000000000 |
| 66 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66.000000000 |
| 67 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67.000000000 |
| 68 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 68 68 true 68 68 68 68.68 68.68000000000001 char68 68.000000000 |
| 69 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69.000000000 |
| 70 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70.000000000 |
| 71 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 71 71 true 71 71 71 71.71 71.70999999999999 char71 71.000000000 |
| 72 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72.000000000 |
| 73 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73.000000000 |
| 74 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 74 74 true 74 74 74 74.74 74.73999999999999 char74 74.000000000 |
| 75 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75.000000000 |
| 76 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 76 76 true 76 76 76 76.76 76.76000000000001 char76 76.000000000 |
| 77 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77.000000000 |
| 78 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78.000000000 |
| 79 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 79 79 true 79 79 79 79.79 79.79000000000001 char79 79.000000000 |
| 80 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80.000000000 |
| 81 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81.000000000 |
| 82 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 82 82 true 82 82 82 82.82 82.81999999999999 char82 82.000000000 |
| 83 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83.000000000 |
| 84 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84.000000000 |
| 85 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 85 85 true 85 85 85 85.85 85.84999999999999 char85 85.000000000 |
| 86 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86.000000000 |
| 87 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87.000000000 |
| 88 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88.000000000 |
| 89 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89.000000000 |
| 90 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 90 90 true 90 90 90 90.9 90.90000000000001 char90 90.000000000 |
| 91 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91.000000000 |
| 92 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92.000000000 |
| 93 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 93 93 true 93 93 93 93.93 93.93000000000001 char93 93.000000000 |
| 94 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94.000000000 |
| 95 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95.000000000 |
| 96 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 96 96 true 96 96 96 96.96 96.95999999999999 char96 96.000000000 |
| 97 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97.000000000 |
| 98 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98.000000000 |
| 99 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 99 99 true 99 99 99 99.99 99.98999999999999 char99 99.000000000 |
| 100 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 100 100 true 100 100 100 100.1 100.1 char100 100.000000000 |
| 101 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 101 101 true 101 101 101 101.101 101.101 char101 101.000000000 |
| 102 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 102 102 true 102 102 102 102.102 102.102 char102 102.000000000 |
| 103 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 103 103 true 103 103 103 103.103 103.103 char103 103.000000000 |
| 104 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 104 104 true 104 104 104 104.104 104.104 char104 104.000000000 |
| 105 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 105 105 true 105 105 105 105.105 105.105 char105 105.000000000 |
| 106 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 106 106 true 106 106 106 106.106 106.106 char106 106.000000000 |
| 107 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 107 107 true 107 107 107 107.107 107.107 char107 107.000000000 |
| 108 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 108 108 true 108 108 108 108.108 108.108 char108 108.000000000 |
| 109 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 109 109 true 109 109 109 109.109 109.109 char109 109.000000000 |
| 110 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 110 110 true 110 110 110 110.11 110.11 char110 110.000000000 |
| 111 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 111 111 true 111 111 111 111.111 111.111 char111 111.000000000 |
| 112 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 112 112 true 112 112 112 112.112 112.112 char112 112.000000000 |
| 113 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 113 113 true 113 113 113 113.113 113.113 char113 113.000000000 |
| 114 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 114 114 true 114 114 114 114.114 114.114 char114 114.000000000 |
| 115 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 115 115 true 115 115 115 115.115 115.115 char115 115.000000000 |
| 116 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 116 116 true 116 116 116 116.116 116.116 char116 116.000000000 |
| 117 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 117 117 true 117 117 117 117.117 117.117 char117 117.000000000 |
| 118 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 118 118 true 118 118 118 118.118 118.118 char118 118.000000000 |
| 119 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 119 119 true 119 119 119 119.119 119.119 char119 119.000000000 |
| 120 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 120 120 true 120 120 120 120.12 120.12 char120 120.000000000 |
| 121 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 121 121 true 121 121 121 121.121 121.121 char121 121.000000000 |
| 122 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 122 122 true 122 122 122 122.122 122.122 char122 122.000000000 |
| 123 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 123 123 true 123 123 123 123.123 123.123 char123 123.000000000 |
| 124 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 124 124 true 124 124 124 124.124 124.124 char124 124.000000000 |
| 125 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 125 125 true 125 125 125 125.125 125.125 char125 125.000000000 |
| 126 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 126 126 true 126 126 126 126.126 126.126 char126 126.000000000 |
| 127 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 127 127 true 127 127 127 127.127 127.127 char127 127.000000000 |
| 128 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 128 0 true 128 128 128 128.128 128.128 char128 128.000000000 |
| 129 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 129 1 true 129 129 129 129.129 129.129 char129 129.000000000 |
| 130 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 130 2 true 130 130 130 130.13 130.13 char130 130.000000000 |
| 131 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 131 3 true 131 131 131 131.131 131.131 char131 131.000000000 |
| 132 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 132 4 true 132 132 132 132.132 132.132 char132 132.000000000 |
| 133 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 133 5 true 133 133 133 133.133 133.133 char133 133.000000000 |
| 134 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 134 6 true 134 134 134 134.134 134.134 char134 134.000000000 |
| 135 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 135 7 true 135 135 135 135.135 135.135 char135 135.000000000 |
| 136 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 136 8 true 136 136 136 136.136 136.136 char136 136.000000000 |
| 137 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 137 9 true 137 137 137 137.137 137.137 char137 137.000000000 |
| 138 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 138 10 true 138 138 138 138.138 138.138 char138 138.000000000 |
| 139 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 139 11 true 139 139 139 139.139 139.139 char139 139.000000000 |
| 140 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 140 12 true 140 140 140 140.14 140.14 char140 140.000000000 |
| 141 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 141 13 true 141 141 141 141.141 141.141 char141 141.000000000 |
| 142 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 142 14 true 142 142 142 142.142 142.142 char142 142.000000000 |
| 143 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 143 15 true 143 143 143 143.143 143.143 char143 143.000000000 |
| 144 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 144 16 true 144 144 144 144.144 144.144 char144 144.000000000 |
| 145 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 145 17 true 145 145 145 145.145 145.145 char145 145.000000000 |
| 146 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 146 18 true 146 146 146 146.146 146.146 char146 146.000000000 |
| 147 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 147 19 true 147 147 147 147.147 147.147 char147 147.000000000 |
| 148 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 148 20 true 148 148 148 148.148 148.148 char148 148.000000000 |
| 149 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 149 21 true 149 149 149 149.149 149.149 char149 149.000000000 |
| 150 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 150 22 true 150 150 150 150.15 150.15 char150 150.000000000 |
| 151 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 151 23 true 151 151 151 151.151 151.151 char151 151.000000000 |
| 152 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 152 24 true 152 152 152 152.152 152.152 char152 152.000000000 |
| 153 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 153 25 true 153 153 153 153.153 153.153 char153 153.000000000 |
| 154 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 154 26 true 154 154 154 154.154 154.154 char154 154.000000000 |
| 155 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 155 27 true 155 155 155 155.155 155.155 char155 155.000000000 |
| 156 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 156 28 true 156 156 156 156.156 156.156 char156 156.000000000 |
| 157 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 157 29 true 157 157 157 157.157 157.157 char157 157.000000000 |
| 158 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 158 30 true 158 158 158 158.158 158.158 char158 158.000000000 |
| 159 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 159 31 true 159 159 159 159.159 159.159 char159 159.000000000 |
| 160 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 160 32 true 160 160 160 160.16 160.16 char160 160.000000000 |
| 161 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 161 33 true 161 161 161 161.161 161.161 char161 161.000000000 |
| 162 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 162 34 true 162 162 162 162.162 162.162 char162 162.000000000 |
| 163 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 163 35 true 163 163 163 163.163 163.163 char163 163.000000000 |
| 164 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 164 36 true 164 164 164 164.164 164.164 char164 164.000000000 |
| 165 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 165 37 true 165 165 165 165.165 165.165 char165 165.000000000 |
| 166 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 166 38 true 166 166 166 166.166 166.166 char166 166.000000000 |
| 167 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 167 39 true 167 167 167 167.167 167.167 char167 167.000000000 |
| 168 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 168 40 true 168 168 168 168.168 168.168 char168 168.000000000 |
| 169 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 169 41 true 169 169 169 169.169 169.169 char169 169.000000000 |
| 170 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 170 42 true 170 170 170 170.17 170.17 char170 170.000000000 |
| 171 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 171 43 true 171 171 171 171.171 171.171 char171 171.000000000 |
| 172 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 172 44 true 172 172 172 172.172 172.172 char172 172.000000000 |
| 173 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 173 45 true 173 173 173 173.173 173.173 char173 173.000000000 |
| 174 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 174 46 true 174 174 174 174.174 174.174 char174 174.000000000 |
| 175 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 175 47 true 175 175 175 175.175 175.175 char175 175.000000000 |
| 176 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 176 48 true 176 176 176 176.176 176.176 char176 176.000000000 |
| 177 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 177 49 true 177 177 177 177.177 177.177 char177 177.000000000 |
| 178 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 178 50 true 178 178 178 178.178 178.178 char178 178.000000000 |
| 179 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 179 51 true 179 179 179 179.179 179.179 char179 179.000000000 |
| 180 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 180 52 true 180 180 180 180.18 180.18 char180 180.000000000 |
| 181 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 181 53 true 181 181 181 181.181 181.181 char181 181.000000000 |
| 182 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 182 54 true 182 182 182 182.182 182.182 char182 182.000000000 |
| 183 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 183 55 true 183 183 183 183.183 183.183 char183 183.000000000 |
| 184 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 184 56 true 184 184 184 184.184 184.184 char184 184.000000000 |
| 185 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 185 57 true 185 185 185 185.185 185.185 char185 185.000000000 |
| 186 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 186 58 true 186 186 186 186.186 186.186 char186 186.000000000 |
| 187 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 187 59 true 187 187 187 187.187 187.187 char187 187.000000000 |
| 188 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 188 60 true 188 188 188 188.188 188.188 char188 188.000000000 |
| 189 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 189 61 true 189 189 189 189.189 189.189 char189 189.000000000 |
| 190 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 190 62 true 190 190 190 190.19 190.19 char190 190.000000000 |
| 191 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 191 63 true 191 191 191 191.191 191.191 char191 191.000000000 |
| 192 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 192 64 true 192 192 192 192.192 192.192 char192 192.000000000 |
| 193 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 193 65 true 193 193 193 193.193 193.193 char193 193.000000000 |
| 194 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 194 66 true 194 194 194 194.194 194.194 char194 194.000000000 |
| 195 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 195 67 true 195 195 195 195.195 195.195 char195 195.000000000 |
| 196 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 196 68 true 196 196 196 196.196 196.196 char196 196.000000000 |
| 197 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 197 69 true 197 197 197 197.197 197.197 char197 197.000000000 |
| 198 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 198 70 true 198 198 198 198.198 198.198 char198 198.000000000 |
| 199 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 199 71 true 199 199 199 199.199 199.199 char199 199.000000000 |
| 200 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 200 72 true 200 200 200 200.2 200.2 char200 200.000000000 |
| 201 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 201 73 true 201 201 201 201.201 201.201 char201 201.000000000 |
| 202 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 202 74 true 202 202 202 202.202 202.202 char202 202.000000000 |
| 203 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 203 75 true 203 203 203 203.203 203.203 char203 203.000000000 |
| 204 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 204 76 true 204 204 204 204.204 204.204 char204 204.000000000 |
| 205 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 205 77 true 205 205 205 205.205 205.205 char205 205.000000000 |
| 206 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 206 78 true 206 206 206 206.206 206.206 char206 206.000000000 |
| 207 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 207 79 true 207 207 207 207.207 207.207 char207 207.000000000 |
| 208 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 208 80 true 208 208 208 208.208 208.208 char208 208.000000000 |
| 209 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 209 81 true 209 209 209 209.209 209.209 char209 209.000000000 |
| 210 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 210 82 true 210 210 210 210.21 210.21 char210 210.000000000 |
| 211 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 211 83 true 211 211 211 211.211 211.211 char211 211.000000000 |
| 212 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 212 84 true 212 212 212 212.212 212.212 char212 212.000000000 |
| 213 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 213 85 true 213 213 213 213.213 213.213 char213 213.000000000 |
| 214 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 214 86 true 214 214 214 214.214 214.214 char214 214.000000000 |
| 215 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 215 87 true 215 215 215 215.215 215.215 char215 215.000000000 |
| 216 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 216 88 true 216 216 216 216.216 216.216 char216 216.000000000 |
| 217 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 217 89 true 217 217 217 217.217 217.217 char217 217.000000000 |
| 218 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 218 90 true 218 218 218 218.218 218.218 char218 218.000000000 |
| 219 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 219 91 true 219 219 219 219.219 219.219 char219 219.000000000 |
| 220 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 220 92 true 220 220 220 220.22 220.22 char220 220.000000000 |
| 221 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 221 93 true 221 221 221 221.221 221.221 char221 221.000000000 |
| 222 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 222 94 true 222 222 222 222.222 222.222 char222 222.000000000 |
| 223 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 223 95 true 223 223 223 223.223 223.223 char223 223.000000000 |
| 224 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 224 96 true 224 224 224 224.224 224.224 char224 224.000000000 |
| 225 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 225 97 true 225 225 225 225.225 225.225 char225 225.000000000 |
| 226 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 226 98 true 226 226 226 226.226 226.226 char226 226.000000000 |
| 227 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 227 99 true 227 227 227 227.227 227.227 char227 227.000000000 |
| 228 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 228 100 true 228 228 228 228.228 228.228 char228 228.000000000 |
| 229 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 229 101 true 229 229 229 229.229 229.229 char229 229.000000000 |
| 230 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 230 102 true 230 230 230 230.23 230.23 char230 230.000000000 |
| 231 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 231 103 true 231 231 231 231.231 231.231 char231 231.000000000 |
| 232 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 232 104 true 232 232 232 232.232 232.232 char232 232.000000000 |
| 233 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 233 105 true 233 233 233 233.233 233.233 char233 233.000000000 |
| 234 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 234 106 true 234 234 234 234.234 234.234 char234 234.000000000 |
| 235 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 235 107 true 235 235 235 235.235 235.235 char235 235.000000000 |
| 236 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 236 108 true 236 236 236 236.236 236.236 char236 236.000000000 |
| 237 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 237 109 true 237 237 237 237.237 237.237 char237 237.000000000 |
| 238 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 238 110 true 238 238 238 238.238 238.238 char238 238.000000000 |
| 239 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 239 111 true 239 239 239 239.239 239.239 char239 239.000000000 |
| 240 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 240 112 true 240 240 240 240.24 240.24 char240 240.000000000 |
| 241 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 241 113 true 241 241 241 241.241 241.241 char241 241.000000000 |
| 242 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 242 114 true 242 242 242 242.242 242.242 char242 242.000000000 |
| 243 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 243 115 true 243 243 243 243.243 243.243 char243 243.000000000 |
| 244 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 244 116 true 244 244 244 244.244 244.244 char244 244.000000000 |
| 245 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 245 117 true 245 245 245 245.245 245.245 char245 245.000000000 |
| 246 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 246 118 true 246 246 246 246.246 246.246 char246 246.000000000 |
| 247 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 247 119 true 247 247 247 247.247 247.247 char247 247.000000000 |
| 248 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 248 120 true 248 248 248 248.248 248.248 char248 248.000000000 |
| 249 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 249 121 true 249 249 249 249.249 249.249 char249 249.000000000 |
| 250 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 250 122 true 250 250 250 250.25 250.25 char250 250.000000000 |
| 251 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 251 123 true 251 251 251 251.251 251.251 char251 251.000000000 |
| 252 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 252 124 true 252 252 252 252.252 252.252 char252 252.000000000 |
| 253 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 253 125 true 253 253 253 253.253 253.253 char253 253.000000000 |
| 254 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 254 126 true 254 254 254 254.254 254.254 char254 254.000000000 |
| 255 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 255 127 true 255 255 255 255.255 255.255 char255 255.000000000 |
| 256 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 256 0 true 256 256 256 256.256 256.256 char256 256.000000000 |
| 257 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 257 1 true 257 257 257 257.257 257.257 char257 257.000000000 |
| 258 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 258 2 true 258 258 258 258.258 258.258 char258 258.000000000 |
| 259 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 259 3 true 259 259 259 259.259 259.259 char259 259.000000000 |
| 260 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 260 4 true 260 260 260 260.26 260.26 char260 260.000000000 |
| 261 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 261 5 true 261 261 261 261.261 261.261 char261 261.000000000 |
| 262 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 262 6 true 262 262 262 262.262 262.262 char262 262.000000000 |
| 263 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 263 7 true 263 263 263 263.263 263.263 char263 263.000000000 |
| 264 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 264 8 true 264 264 264 264.264 264.264 char264 264.000000000 |
| 265 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 265 9 true 265 265 265 265.265 265.265 char265 265.000000000 |
| 266 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 266 10 true 266 266 266 266.266 266.266 char266 266.000000000 |
| 267 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 267 11 true 267 267 267 267.267 267.267 char267 267.000000000 |
| 268 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 268 12 true 268 268 268 268.268 268.268 char268 268.000000000 |
| 269 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 269 13 true 269 269 269 269.269 269.269 char269 269.000000000 |
| 270 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 270 14 true 270 270 270 270.27 270.27 char270 270.000000000 |
| 271 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 271 15 true 271 271 271 271.271 271.271 char271 271.000000000 |
| 272 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 272 16 true 272 272 272 272.272 272.272 char272 272.000000000 |
| 273 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 273 17 true 273 273 273 273.273 273.273 char273 273.000000000 |
| 274 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 274 18 true 274 274 274 274.274 274.274 char274 274.000000000 |
| 275 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 275 19 true 275 275 275 275.275 275.275 char275 275.000000000 |
| 276 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 276 20 true 276 276 276 276.276 276.276 char276 276.000000000 |
| 277 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 277 21 true 277 277 277 277.277 277.277 char277 277.000000000 |
| 278 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 278 22 true 278 278 278 278.278 278.278 char278 278.000000000 |
| 279 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 279 23 true 279 279 279 279.279 279.279 char279 279.000000000 |
| 280 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 280 24 true 280 280 280 280.28 280.28 char280 280.000000000 |
| 281 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 281 25 true 281 281 281 281.281 281.281 char281 281.000000000 |
| 282 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 282 26 true 282 282 282 282.282 282.282 char282 282.000000000 |
| 283 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 283 27 true 283 283 283 283.283 283.283 char283 283.000000000 |
| 284 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 284 28 true 284 284 284 284.284 284.284 char284 284.000000000 |
| 285 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 285 29 true 285 285 285 285.285 285.285 char285 285.000000000 |
| 286 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 286 30 true 286 286 286 286.286 286.286 char286 286.000000000 |
| 287 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 287 31 true 287 287 287 287.287 287.287 char287 287.000000000 |
| 288 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 288 32 true 288 288 288 288.288 288.288 char288 288.000000000 |
| 289 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 289 33 true 289 289 289 289.289 289.289 char289 289.000000000 |
| 290 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 290 34 true 290 290 290 290.29 290.29 char290 290.000000000 |
| 291 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 291 35 true 291 291 291 291.291 291.291 char291 291.000000000 |
| 292 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 292 36 true 292 292 292 292.292 292.292 char292 292.000000000 |
| 293 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 293 37 true 293 293 293 293.293 293.293 char293 293.000000000 |
| 294 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 294 38 true 294 294 294 294.294 294.294 char294 294.000000000 |
| 295 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 295 39 true 295 295 295 295.295 295.295 char295 295.000000000 |
| 296 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 296 40 true 296 296 296 296.296 296.296 char296 296.000000000 |
| 297 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 297 41 true 297 297 297 297.297 297.297 char297 297.000000000 |
| 298 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 298 42 true 298 298 298 298.298 298.298 char298 298.000000000 |
| 299 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 299 43 true 299 299 299 299.299 299.299 char299 299.000000000 |
| 300 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 300 44 true 300 300 300 300.3 300.3 char300 300.000000000 |
| 301 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 301 45 true 301 301 301 301.301 301.301 char301 301.000000000 |
| 302 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 302 46 true 302 302 302 302.302 302.302 char302 302.000000000 |
| 303 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 303 47 true 303 303 303 303.303 303.303 char303 303.000000000 |
| 304 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 304 48 true 304 304 304 304.304 304.304 char304 304.000000000 |
| 305 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 305 49 true 305 305 305 305.305 305.305 char305 305.000000000 |
| 306 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 306 50 true 306 306 306 306.306 306.306 char306 306.000000000 |
| 307 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 307 51 true 307 307 307 307.307 307.307 char307 307.000000000 |
| 308 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 308 52 true 308 308 308 308.308 308.308 char308 308.000000000 |
| 309 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 309 53 true 309 309 309 309.309 309.309 char309 309.000000000 |
| 310 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 310 54 true 310 310 310 310.31 310.31 char310 310.000000000 |
| 311 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 311 55 true 311 311 311 311.311 311.311 char311 311.000000000 |
| 312 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 312 56 true 312 312 312 312.312 312.312 char312 312.000000000 |
| 313 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 313 57 true 313 313 313 313.313 313.313 char313 313.000000000 |
| 314 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 314 58 true 314 314 314 314.314 314.314 char314 314.000000000 |
| 315 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 315 59 true 315 315 315 315.315 315.315 char315 315.000000000 |
| 316 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 316 60 true 316 316 316 316.316 316.316 char316 316.000000000 |
| 317 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 317 61 true 317 317 317 317.317 317.317 char317 317.000000000 |
| 318 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 318 62 true 318 318 318 318.318 318.318 char318 318.000000000 |
| 319 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 319 63 true 319 319 319 319.319 319.319 char319 319.000000000 |
| 320 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 320 64 true 320 320 320 320.32 320.32 char320 320.000000000 |
| 321 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 321 65 true 321 321 321 321.321 321.321 char321 321.000000000 |
| 322 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 322 66 true 322 322 322 322.322 322.322 char322 322.000000000 |
| 323 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 323 67 true 323 323 323 323.323 323.323 char323 323.000000000 |
| 324 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 324 68 true 324 324 324 324.324 324.324 char324 324.000000000 |
| 325 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 325 69 true 325 325 325 325.325 325.325 char325 325.000000000 |
| 326 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 326 70 true 326 326 326 326.326 326.326 char326 326.000000000 |
| 327 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 327 71 true 327 327 327 327.327 327.327 char327 327.000000000 |
| 328 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 328 72 true 328 328 328 328.328 328.328 char328 328.000000000 |
| 329 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 329 73 true 329 329 329 329.329 329.329 char329 329.000000000 |
| 330 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 330 74 true 330 330 330 330.33 330.33 char330 330.000000000 |
| 331 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 331 75 true 331 331 331 331.331 331.331 char331 331.000000000 |
| 332 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 332 76 true 332 332 332 332.332 332.332 char332 332.000000000 |
| 333 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 333 77 true 333 333 333 333.333 333.333 char333 333.000000000 |
| 334 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 334 78 true 334 334 334 334.334 334.334 char334 334.000000000 |
| 335 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 335 79 true 335 335 335 335.335 335.335 char335 335.000000000 |
| 336 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 336 80 true 336 336 336 336.336 336.336 char336 336.000000000 |
| 337 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 337 81 true 337 337 337 337.337 337.337 char337 337.000000000 |
| 338 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 338 82 true 338 338 338 338.338 338.338 char338 338.000000000 |
| 339 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 339 83 true 339 339 339 339.339 339.339 char339 339.000000000 |
| 340 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 340 84 true 340 340 340 340.34 340.34 char340 340.000000000 |
| 341 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 341 85 true 341 341 341 341.341 341.341 char341 341.000000000 |
| 342 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 342 86 true 342 342 342 342.342 342.342 char342 342.000000000 |
| 343 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 343 87 true 343 343 343 343.343 343.343 char343 343.000000000 |
| 344 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 344 88 true 344 344 344 344.344 344.344 char344 344.000000000 |
| 345 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 345 89 true 345 345 345 345.345 345.345 char345 345.000000000 |
| 346 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 346 90 true 346 346 346 346.346 346.346 char346 346.000000000 |
| 347 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 347 91 true 347 347 347 347.347 347.347 char347 347.000000000 |
| 348 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 348 92 true 348 348 348 348.348 348.348 char348 348.000000000 |
| 349 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 349 93 true 349 349 349 349.349 349.349 char349 349.000000000 |
| 350 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 350 94 true 350 350 350 350.35 350.35 char350 350.000000000 |
| 351 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 351 95 true 351 351 351 351.351 351.351 char351 351.000000000 |
| 352 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 352 96 true 352 352 352 352.352 352.352 char352 352.000000000 |
| 353 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 353 97 true 353 353 353 353.353 353.353 char353 353.000000000 |
| 354 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 354 98 true 354 354 354 354.354 354.354 char354 354.000000000 |
| 355 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 355 99 true 355 355 355 355.355 355.355 char355 355.000000000 |
| 356 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 356 100 true 356 356 356 356.356 356.356 char356 356.000000000 |
| 357 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 357 101 true 357 357 357 357.357 357.357 char357 357.000000000 |
| 358 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 358 102 true 358 358 358 358.358 358.358 char358 358.000000000 |
| 359 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 359 103 true 359 359 359 359.359 359.359 char359 359.000000000 |
| 360 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 360 104 true 360 360 360 360.36 360.36 char360 360.000000000 |
| 361 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 361 105 true 361 361 361 361.361 361.361 char361 361.000000000 |
| 362 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 362 106 true 362 362 362 362.362 362.362 char362 362.000000000 |
| 363 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 363 107 true 363 363 363 363.363 363.363 char363 363.000000000 |
| 364 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 364 108 true 364 364 364 364.364 364.364 char364 364.000000000 |
| 365 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 365 109 true 365 365 365 365.365 365.365 char365 365.000000000 |
| 366 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 366 110 true 366 366 366 366.366 366.366 char366 366.000000000 |
| 367 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 367 111 true 367 367 367 367.367 367.367 char367 367.000000000 |
| 368 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 368 112 true 368 368 368 368.368 368.368 char368 368.000000000 |
| 369 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 369 113 true 369 369 369 369.369 369.369 char369 369.000000000 |
| 370 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 370 114 true 370 370 370 370.37 370.37 char370 370.000000000 |
| 371 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 371 115 true 371 371 371 371.371 371.371 char371 371.000000000 |
| 372 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 372 116 true 372 372 372 372.372 372.372 char372 372.000000000 |
| 373 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 373 117 true 373 373 373 373.373 373.373 char373 373.000000000 |
| 374 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 374 118 true 374 374 374 374.374 374.374 char374 374.000000000 |
| 375 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 375 119 true 375 375 375 375.375 375.375 char375 375.000000000 |
| 376 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 376 120 true 376 376 376 376.376 376.376 char376 376.000000000 |
| 377 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 377 121 true 377 377 377 377.377 377.377 char377 377.000000000 |
| 378 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 378 122 true 378 378 378 378.378 378.378 char378 378.000000000 |
| 379 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 379 123 true 379 379 379 379.379 379.379 char379 379.000000000 |
| 380 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 380 124 true 380 380 380 380.38 380.38 char380 380.000000000 |
| 381 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 381 125 true 381 381 381 381.381 381.381 char381 381.000000000 |
| 382 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 382 126 true 382 382 382 382.382 382.382 char382 382.000000000 |
| 383 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 383 127 true 383 383 383 383.383 383.383 char383 383.000000000 |
| 384 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 384 0 true 384 384 384 384.384 384.384 char384 384.000000000 |
| 385 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 385 1 true 385 385 385 385.385 385.385 char385 385.000000000 |
| 386 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 386 2 true 386 386 386 386.386 386.386 char386 386.000000000 |
| 387 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 387 3 true 387 387 387 387.387 387.387 char387 387.000000000 |
| 388 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 388 4 true 388 388 388 388.388 388.388 char388 388.000000000 |
| 389 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 389 5 true 389 389 389 389.389 389.389 char389 389.000000000 |
| 390 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 390 6 true 390 390 390 390.39 390.39 char390 390.000000000 |
| 391 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 391 7 true 391 391 391 391.391 391.391 char391 391.000000000 |
| 392 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 392 8 true 392 392 392 392.392 392.392 char392 392.000000000 |
| 393 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 393 9 true 393 393 393 393.393 393.393 char393 393.000000000 |
| 394 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 394 10 true 394 394 394 394.394 394.394 char394 394.000000000 |
| 395 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 395 11 true 395 395 395 395.395 395.395 char395 395.000000000 |
| 396 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 396 12 true 396 396 396 396.396 396.396 char396 396.000000000 |
| 397 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 397 13 true 397 397 397 397.397 397.397 char397 397.000000000 |
| 398 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 398 14 true 398 398 398 398.398 398.398 char398 398.000000000 |
| 399 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 399 15 true 399 399 399 399.399 399.399 char399 399.000000000 |
| 400 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 400 16 true 400 400 400 400.4 400.4 char400 400.000000000 |
| 401 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 401 17 true 401 401 401 401.401 401.401 char401 401.000000000 |
| 402 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 402 18 true 402 402 402 402.402 402.402 char402 402.000000000 |
| 403 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 403 19 true 403 403 403 403.403 403.403 char403 403.000000000 |
| 404 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 404 20 true 404 404 404 404.404 404.404 char404 404.000000000 |
| 405 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 405 21 true 405 405 405 405.405 405.405 char405 405.000000000 |
| 406 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 406 22 true 406 406 406 406.406 406.406 char406 406.000000000 |
| 407 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 407 23 true 407 407 407 407.407 407.407 char407 407.000000000 |
| 408 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 408 24 true 408 408 408 408.408 408.408 char408 408.000000000 |
| 409 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 409 25 true 409 409 409 409.409 409.409 char409 409.000000000 |
| 410 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 410 26 true 410 410 410 410.41 410.41 char410 410.000000000 |
| 411 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 411 27 true 411 411 411 411.411 411.411 char411 411.000000000 |
| 412 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 412 28 true 412 412 412 412.412 412.412 char412 412.000000000 |
| 413 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 413 29 true 413 413 413 413.413 413.413 char413 413.000000000 |
| 414 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 414 30 true 414 414 414 414.414 414.414 char414 414.000000000 |
| 415 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 415 31 true 415 415 415 415.415 415.415 char415 415.000000000 |
| 416 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 416 32 true 416 416 416 416.416 416.416 char416 416.000000000 |
| 417 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 417 33 true 417 417 417 417.417 417.417 char417 417.000000000 |
| 418 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 418 34 true 418 418 418 418.418 418.418 char418 418.000000000 |
| 419 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 419 35 true 419 419 419 419.419 419.419 char419 419.000000000 |
| 420 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 420 36 true 420 420 420 420.42 420.42 char420 420.000000000 |
| 421 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 421 37 true 421 421 421 421.421 421.421 char421 421.000000000 |
| 422 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 422 38 true 422 422 422 422.422 422.422 char422 422.000000000 |
| 423 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 423 39 true 423 423 423 423.423 423.423 char423 423.000000000 |
| 424 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 424 40 true 424 424 424 424.424 424.424 char424 424.000000000 |
| 425 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 425 41 true 425 425 425 425.425 425.425 char425 425.000000000 |
| 426 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 426 42 true 426 426 426 426.426 426.426 char426 426.000000000 |
| 427 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 427 43 true 427 427 427 427.427 427.427 char427 427.000000000 |
| 428 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 428 44 true 428 428 428 428.428 428.428 char428 428.000000000 |
| 429 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 429 45 true 429 429 429 429.429 429.429 char429 429.000000000 |
| 430 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 430 46 true 430 430 430 430.43 430.43 char430 430.000000000 |
| 431 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 431 47 true 431 431 431 431.431 431.431 char431 431.000000000 |
| 432 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 432 48 true 432 432 432 432.432 432.432 char432 432.000000000 |
| 433 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 433 49 true 433 433 433 433.433 433.433 char433 433.000000000 |
| 434 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 434 50 true 434 434 434 434.434 434.434 char434 434.000000000 |
| 435 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 435 51 true 435 435 435 435.435 435.435 char435 435.000000000 |
| 436 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 436 52 true 436 436 436 436.436 436.436 char436 436.000000000 |
| 437 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 437 53 true 437 437 437 437.437 437.437 char437 437.000000000 |
| 438 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 438 54 true 438 438 438 438.438 438.438 char438 438.000000000 |
| 439 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 439 55 true 439 439 439 439.439 439.439 char439 439.000000000 |
| 440 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 440 56 true 440 440 440 440.44 440.44 char440 440.000000000 |
| 441 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 441 57 true 441 441 441 441.441 441.441 char441 441.000000000 |
| 442 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 442 58 true 442 442 442 442.442 442.442 char442 442.000000000 |
| 443 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 443 59 true 443 443 443 443.443 443.443 char443 443.000000000 |
| 444 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 444 60 true 444 444 444 444.444 444.444 char444 444.000000000 |
| 445 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 445 61 true 445 445 445 445.445 445.445 char445 445.000000000 |
| 446 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 446 62 true 446 446 446 446.446 446.446 char446 446.000000000 |
| 447 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 447 63 true 447 447 447 447.447 447.447 char447 447.000000000 |
| 448 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 448 64 true 448 448 448 448.448 448.448 char448 448.000000000 |
| 449 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 449 65 true 449 449 449 449.449 449.449 char449 449.000000000 |
| 450 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 450 66 true 450 450 450 450.45 450.45 char450 450.000000000 |
| 451 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 451 67 true 451 451 451 451.451 451.451 char451 451.000000000 |
| 452 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 452 68 true 452 452 452 452.452 452.452 char452 452.000000000 |
| 453 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 453 69 true 453 453 453 453.453 453.453 char453 453.000000000 |
| 454 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 454 70 true 454 454 454 454.454 454.454 char454 454.000000000 |
| 455 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 455 71 true 455 455 455 455.455 455.455 char455 455.000000000 |
| 456 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 456 72 true 456 456 456 456.456 456.456 char456 456.000000000 |
| 457 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 457 73 true 457 457 457 457.457 457.457 char457 457.000000000 |
| 458 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 458 74 true 458 458 458 458.458 458.458 char458 458.000000000 |
| 459 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 459 75 true 459 459 459 459.459 459.459 char459 459.000000000 |
| 460 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 460 76 true 460 460 460 460.46 460.46 char460 460.000000000 |
| 461 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 461 77 true 461 461 461 461.461 461.461 char461 461.000000000 |
| 462 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 462 78 true 462 462 462 462.462 462.462 char462 462.000000000 |
| 463 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 463 79 true 463 463 463 463.463 463.463 char463 463.000000000 |
| 464 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 464 80 true 464 464 464 464.464 464.464 char464 464.000000000 |
| 465 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 465 81 true 465 465 465 465.465 465.465 char465 465.000000000 |
| 466 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 466 82 true 466 466 466 466.466 466.466 char466 466.000000000 |
| 467 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 467 83 true 467 467 467 467.467 467.467 char467 467.000000000 |
| 468 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 468 84 true 468 468 468 468.468 468.468 char468 468.000000000 |
| 469 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 469 85 true 469 469 469 469.469 469.469 char469 469.000000000 |
| 470 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 470 86 true 470 470 470 470.47 470.47 char470 470.000000000 |
| 471 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 471 87 true 471 471 471 471.471 471.471 char471 471.000000000 |
| 472 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 472 88 true 472 472 472 472.472 472.472 char472 472.000000000 |
| 473 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 473 89 true 473 473 473 473.473 473.473 char473 473.000000000 |
| 474 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 474 90 true 474 474 474 474.474 474.474 char474 474.000000000 |
| 475 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 475 91 true 475 475 475 475.475 475.475 char475 475.000000000 |
| 476 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 476 92 true 476 476 476 476.476 476.476 char476 476.000000000 |
| 477 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 477 93 true 477 477 477 477.477 477.477 char477 477.000000000 |
| 478 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 478 94 true 478 478 478 478.478 478.478 char478 478.000000000 |
| 479 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 479 95 true 479 479 479 479.479 479.479 char479 479.000000000 |
| 480 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 480 96 true 480 480 480 480.48 480.48 char480 480.000000000 |
| 481 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 481 97 true 481 481 481 481.481 481.481 char481 481.000000000 |
| 482 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 482 98 true 482 482 482 482.482 482.482 char482 482.000000000 |
| 483 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 483 99 true 483 483 483 483.483 483.483 char483 483.000000000 |
| 484 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 484 100 true 484 484 484 484.484 484.484 char484 484.000000000 |
| 485 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 485 101 true 485 485 485 485.485 485.485 char485 485.000000000 |
| 486 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 486 102 true 486 486 486 486.486 486.486 char486 486.000000000 |
| 487 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 487 103 true 487 487 487 487.487 487.487 char487 487.000000000 |
| 488 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 488 104 true 488 488 488 488.488 488.488 char488 488.000000000 |
| 489 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 489 105 true 489 489 489 489.489 489.489 char489 489.000000000 |
| 490 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 490 106 true 490 490 490 490.49 490.49 char490 490.000000000 |
| 491 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 491 107 true 491 491 491 491.491 491.491 char491 491.000000000 |
| 492 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 492 108 true 492 492 492 492.492 492.492 char492 492.000000000 |
| 493 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 493 109 true 493 493 493 493.493 493.493 char493 493.000000000 |
| 494 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 494 110 true 494 494 494 494.494 494.494 char494 494.000000000 |
| 495 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 495 111 true 495 495 495 495.495 495.495 char495 495.000000000 |
| 496 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 496 112 true 496 496 496 496.496 496.496 char496 496.000000000 |
| 497 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 497 113 true 497 497 497 497.497 497.497 char497 497.000000000 |
| 498 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 498 114 true 498 498 498 498.498 498.498 char498 498.000000000 |
| 499 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 499 115 true 499 499 499 499.499 499.499 char499 499.000000000 |
| 500 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 500 116 true 500 500 500 500.5 500.5 char500 500.000000000 |
| 501 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 501 117 true 501 501 501 501.501 501.501 char501 501.000000000 |
| 502 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 502 118 true 502 502 502 502.502 502.502 char502 502.000000000 |
| 503 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 503 119 true 503 503 503 503.503 503.503 char503 503.000000000 |
| 504 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 504 120 true 504 504 504 504.504 504.504 char504 504.000000000 |
| 505 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 505 121 true 505 505 505 505.505 505.505 char505 505.000000000 |
| 506 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 506 122 true 506 506 506 506.506 506.506 char506 506.000000000 |
| 507 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 507 123 true 507 507 507 507.507 507.507 char507 507.000000000 |
| 508 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 508 124 true 508 508 508 508.508 508.508 char508 508.000000000 |
| 509 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 509 125 true 509 509 509 509.509 509.509 char509 509.000000000 |
| 510 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 510 126 true 510 510 510 510.51 510.51 char510 510.000000000 |
| 511 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 511 127 true 511 511 511 511.511 511.511 char511 511.000000000 |
| 512 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 512 0 true 512 512 512 512.512 512.5119999999999 char512 512.000000000 |
| 513 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 513 1 true 513 513 513 513.513 513.513 char513 513.000000000 |
| 514 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 514 2 true 514 514 514 514.514 514.514 char514 514.000000000 |
| 515 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 515 3 true 515 515 515 515.515 515.515 char515 515.000000000 |
| 516 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 516 4 true 516 516 516 516.516 516.516 char516 516.000000000 |
| 517 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 517 5 true 517 517 517 517.517 517.5170000000001 char517 517.000000000 |
| 518 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 518 6 true 518 518 518 518.518 518.518 char518 518.000000000 |
| 519 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 519 7 true 519 519 519 519.519 519.519 char519 519.000000000 |
| 520 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 520 8 true 520 520 520 520.52 520.52 char520 520.000000000 |
| 521 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 521 9 true 521 521 521 521.521 521.521 char521 521.000000000 |
| 522 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 522 10 true 522 522 522 522.522 522.522 char522 522.000000000 |
| 523 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 523 11 true 523 523 523 523.523 523.523 char523 523.000000000 |
| 524 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 524 12 true 524 524 524 524.524 524.524 char524 524.000000000 |
| 525 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 525 13 true 525 525 525 525.525 525.525 char525 525.000000000 |
| 526 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 526 14 true 526 526 526 526.526 526.526 char526 526.000000000 |
| 527 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 527 15 true 527 527 527 527.527 527.527 char527 527.000000000 |
| 528 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 528 16 true 528 528 528 528.528 528.528 char528 528.000000000 |
| 529 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 529 17 true 529 529 529 529.529 529.529 char529 529.000000000 |
| 530 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 530 18 true 530 530 530 530.53 530.53 char530 530.000000000 |
| 531 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 531 19 true 531 531 531 531.531 531.5309999999999 char531 531.000000000 |
| 532 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 532 20 true 532 532 532 532.532 532.532 char532 532.000000000 |
| 533 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 533 21 true 533 533 533 533.533 533.533 char533 533.000000000 |
| 534 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 534 22 true 534 534 534 534.534 534.534 char534 534.000000000 |
| 535 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 535 23 true 535 535 535 535.535 535.535 char535 535.000000000 |
| 536 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 536 24 true 536 536 536 536.536 536.5359999999999 char536 536.000000000 |
| 537 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 537 25 true 537 537 537 537.537 537.537 char537 537.000000000 |
| 538 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 538 26 true 538 538 538 538.538 538.538 char538 538.000000000 |
| 539 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 539 27 true 539 539 539 539.539 539.539 char539 539.000000000 |
| 540 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 540 28 true 540 540 540 540.54 540.54 char540 540.000000000 |
| 541 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 541 29 true 541 541 541 541.541 541.5410000000001 char541 541.000000000 |
| 542 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 542 30 true 542 542 542 542.542 542.542 char542 542.000000000 |
| 543 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 543 31 true 543 543 543 543.543 543.543 char543 543.000000000 |
| 544 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 544 32 true 544 544 544 544.544 544.544 char544 544.000000000 |
| 545 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 545 33 true 545 545 545 545.545 545.545 char545 545.000000000 |
| 546 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 546 34 true 546 546 546 546.546 546.546 char546 546.000000000 |
| 547 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 547 35 true 547 547 547 547.547 547.547 char547 547.000000000 |
| 548 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 548 36 true 548 548 548 548.548 548.548 char548 548.000000000 |
| 549 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 549 37 true 549 549 549 549.549 549.549 char549 549.000000000 |
| 550 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 550 38 true 550 550 550 550.55 550.55 char550 550.000000000 |
| 551 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 551 39 true 551 551 551 551.551 551.551 char551 551.000000000 |
| 552 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 552 40 true 552 552 552 552.552 552.552 char552 552.000000000 |
| 553 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 553 41 true 553 553 553 553.553 553.553 char553 553.000000000 |
| 554 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 554 42 true 554 554 554 554.554 554.554 char554 554.000000000 |
| 555 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 555 43 true 555 555 555 555.555 555.5549999999999 char555 555.000000000 |
| 556 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 556 44 true 556 556 556 556.556 556.556 char556 556.000000000 |
| 557 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 557 45 true 557 557 557 557.557 557.557 char557 557.000000000 |
| 558 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 558 46 true 558 558 558 558.558 558.558 char558 558.000000000 |
| 559 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 559 47 true 559 559 559 559.559 559.559 char559 559.000000000 |
| 560 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 560 48 true 560 560 560 560.56 560.5599999999999 char560 560.000000000 |
| 561 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 561 49 true 561 561 561 561.561 561.561 char561 561.000000000 |
| 562 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 562 50 true 562 562 562 562.562 562.562 char562 562.000000000 |
| 563 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 563 51 true 563 563 563 563.563 563.563 char563 563.000000000 |
| 564 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 564 52 true 564 564 564 564.564 564.564 char564 564.000000000 |
| 565 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 565 53 true 565 565 565 565.565 565.5650000000001 char565 565.000000000 |
| 566 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 566 54 true 566 566 566 566.566 566.566 char566 566.000000000 |
| 567 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 567 55 true 567 567 567 567.567 567.567 char567 567.000000000 |
| 568 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 568 56 true 568 568 568 568.568 568.568 char568 568.000000000 |
| 569 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 569 57 true 569 569 569 569.569 569.569 char569 569.000000000 |
| 570 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 570 58 true 570 570 570 570.57 570.5700000000001 char570 570.000000000 |
| 571 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 571 59 true 571 571 571 571.571 571.571 char571 571.000000000 |
| 572 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 572 60 true 572 572 572 572.572 572.572 char572 572.000000000 |
| 573 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 573 61 true 573 573 573 573.573 573.573 char573 573.000000000 |
| 574 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 574 62 true 574 574 574 574.574 574.574 char574 574.000000000 |
| 575 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 575 63 true 575 575 575 575.575 575.575 char575 575.000000000 |
| 576 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 576 64 true 576 576 576 576.576 576.576 char576 576.000000000 |
| 577 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 577 65 true 577 577 577 577.577 577.577 char577 577.000000000 |
| 578 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 578 66 true 578 578 578 578.578 578.578 char578 578.000000000 |
| 579 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 579 67 true 579 579 579 579.579 579.579 char579 579.000000000 |
| 580 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 580 68 true 580 580 580 580.58 580.58 char580 580.000000000 |
| 581 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 581 69 true 581 581 581 581.581 581.581 char581 581.000000000 |
| 582 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 582 70 true 582 582 582 582.582 582.582 char582 582.000000000 |
| 583 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 583 71 true 583 583 583 583.583 583.583 char583 583.000000000 |
| 584 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 584 72 true 584 584 584 584.584 584.5839999999999 char584 584.000000000 |
| 585 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 585 73 true 585 585 585 585.585 585.585 char585 585.000000000 |
| 586 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 586 74 true 586 586 586 586.586 586.586 char586 586.000000000 |
| 587 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 587 75 true 587 587 587 587.587 587.587 char587 587.000000000 |
| 588 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 588 76 true 588 588 588 588.588 588.588 char588 588.000000000 |
| 589 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 589 77 true 589 589 589 589.589 589.5890000000001 char589 589.000000000 |
| 590 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 590 78 true 590 590 590 590.59 590.59 char590 590.000000000 |
| 591 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 591 79 true 591 591 591 591.591 591.591 char591 591.000000000 |
| 592 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 592 80 true 592 592 592 592.592 592.592 char592 592.000000000 |
| 593 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 593 81 true 593 593 593 593.593 593.593 char593 593.000000000 |
| 594 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 594 82 true 594 594 594 594.594 594.5940000000001 char594 594.000000000 |
| 595 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 595 83 true 595 595 595 595.595 595.595 char595 595.000000000 |
| 596 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 596 84 true 596 596 596 596.596 596.596 char596 596.000000000 |
| 597 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 597 85 true 597 597 597 597.597 597.597 char597 597.000000000 |
| 598 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 598 86 true 598 598 598 598.598 598.598 char598 598.000000000 |
| 599 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 599 87 true 599 599 599 599.599 599.599 char599 599.000000000 |
| 600 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 600 88 true 600 600 600 600.6 600.6 char600 600.000000000 |
| 601 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 601 89 true 601 601 601 601.601 601.601 char601 601.000000000 |
| 602 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 602 90 true 602 602 602 602.602 602.602 char602 602.000000000 |
| 603 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 603 91 true 603 603 603 603.603 603.603 char603 603.000000000 |
| 604 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 604 92 true 604 604 604 604.604 604.604 char604 604.000000000 |
| 605 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 605 93 true 605 605 605 605.605 605.605 char605 605.000000000 |
| 606 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 606 94 true 606 606 606 606.606 606.606 char606 606.000000000 |
| 607 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 607 95 true 607 607 607 607.607 607.607 char607 607.000000000 |
| 608 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 608 96 true 608 608 608 608.608 608.6079999999999 char608 608.000000000 |
| 609 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 609 97 true 609 609 609 609.609 609.609 char609 609.000000000 |
| 610 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 610 98 true 610 610 610 610.61 610.61 char610 610.000000000 |
| 611 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 611 99 true 611 611 611 611.611 611.611 char611 611.000000000 |
| 612 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 612 100 true 612 612 612 612.612 612.612 char612 612.000000000 |
| 613 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 613 101 true 613 613 613 613.613 613.6130000000001 char613 613.000000000 |
| 614 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 614 102 true 614 614 614 614.614 614.614 char614 614.000000000 |
| 615 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 615 103 true 615 615 615 615.615 615.615 char615 615.000000000 |
| 616 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 616 104 true 616 616 616 616.616 616.616 char616 616.000000000 |
| 617 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 617 105 true 617 617 617 617.617 617.617 char617 617.000000000 |
| 618 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 618 106 true 618 618 618 618.618 618.6180000000001 char618 618.000000000 |
| 619 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 619 107 true 619 619 619 619.619 619.619 char619 619.000000000 |
| 620 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 620 108 true 620 620 620 620.62 620.62 char620 620.000000000 |
| 621 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 621 109 true 621 621 621 621.621 621.621 char621 621.000000000 |
| 622 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 622 110 true 622 622 622 622.622 622.622 char622 622.000000000 |
| 623 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 623 111 true 623 623 623 623.623 623.623 char623 623.000000000 |
| 624 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 624 112 true 624 624 624 624.624 624.624 char624 624.000000000 |
| 625 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 625 113 true 625 625 625 625.625 625.625 char625 625.000000000 |
| 626 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 626 114 true 626 626 626 626.626 626.626 char626 626.000000000 |
| 627 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 627 115 true 627 627 627 627.627 627.627 char627 627.000000000 |
| 628 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 628 116 true 628 628 628 628.628 628.628 char628 628.000000000 |
| 629 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 629 117 true 629 629 629 629.629 629.629 char629 629.000000000 |
| 630 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 630 118 true 630 630 630 630.63 630.63 char630 630.000000000 |
| 631 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 631 119 true 631 631 631 631.631 631.631 char631 631.000000000 |
| 632 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 632 120 true 632 632 632 632.632 632.6319999999999 char632 632.000000000 |
| 633 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 633 121 true 633 633 633 633.633 633.633 char633 633.000000000 |
| 634 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 634 122 true 634 634 634 634.634 634.634 char634 634.000000000 |
| 635 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 635 123 true 635 635 635 635.635 635.635 char635 635.000000000 |
| 636 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 636 124 true 636 636 636 636.636 636.636 char636 636.000000000 |
| 637 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 637 125 true 637 637 637 637.637 637.6369999999999 char637 637.000000000 |
| 638 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 638 126 true 638 638 638 638.638 638.638 char638 638.000000000 |
| 639 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 639 127 true 639 639 639 639.639 639.639 char639 639.000000000 |
| 640 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 640 0 true 640 640 640 640.64 640.64 char640 640.000000000 |
| 641 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 641 1 true 641 641 641 641.641 641.641 char641 641.000000000 |
| 642 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 642 2 true 642 642 642 642.642 642.6420000000001 char642 642.000000000 |
| 643 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 643 3 true 643 643 643 643.643 643.643 char643 643.000000000 |
| 644 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 644 4 true 644 644 644 644.644 644.644 char644 644.000000000 |
| 645 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 645 5 true 645 645 645 645.645 645.645 char645 645.000000000 |
| 646 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 646 6 true 646 646 646 646.646 646.646 char646 646.000000000 |
| 647 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 647 7 true 647 647 647 647.647 647.647 char647 647.000000000 |
| 648 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 648 8 true 648 648 648 648.648 648.648 char648 648.000000000 |
| 649 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 649 9 true 649 649 649 649.649 649.649 char649 649.000000000 |
| 650 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 650 10 true 650 650 650 650.65 650.65 char650 650.000000000 |
| 651 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 651 11 true 651 651 651 651.651 651.651 char651 651.000000000 |
| 652 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 652 12 true 652 652 652 652.652 652.652 char652 652.000000000 |
| 653 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 653 13 true 653 653 653 653.653 653.653 char653 653.000000000 |
| 654 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 654 14 true 654 654 654 654.654 654.654 char654 654.000000000 |
| 655 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 655 15 true 655 655 655 655.655 655.655 char655 655.000000000 |
| 656 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 656 16 true 656 656 656 656.656 656.6559999999999 char656 656.000000000 |
| 657 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 657 17 true 657 657 657 657.657 657.657 char657 657.000000000 |
| 658 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 658 18 true 658 658 658 658.658 658.658 char658 658.000000000 |
| 659 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 659 19 true 659 659 659 659.659 659.659 char659 659.000000000 |
| 660 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 660 20 true 660 660 660 660.66 660.66 char660 660.000000000 |
| 661 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 661 21 true 661 661 661 661.661 661.6609999999999 char661 661.000000000 |
| 662 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 662 22 true 662 662 662 662.662 662.662 char662 662.000000000 |
| 663 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 663 23 true 663 663 663 663.663 663.663 char663 663.000000000 |
| 664 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 664 24 true 664 664 664 664.664 664.664 char664 664.000000000 |
| 665 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 665 25 true 665 665 665 665.665 665.665 char665 665.000000000 |
| 666 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 666 26 true 666 666 666 666.666 666.6660000000001 char666 666.000000000 |
| 667 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 667 27 true 667 667 667 667.667 667.667 char667 667.000000000 |
| 668 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 668 28 true 668 668 668 668.668 668.668 char668 668.000000000 |
| 669 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 669 29 true 669 669 669 669.669 669.669 char669 669.000000000 |
| 670 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 670 30 true 670 670 670 670.67 670.67 char670 670.000000000 |
| 671 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 671 31 true 671 671 671 671.671 671.671 char671 671.000000000 |
| 672 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 672 32 true 672 672 672 672.672 672.672 char672 672.000000000 |
| 673 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 673 33 true 673 673 673 673.673 673.673 char673 673.000000000 |
| 674 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 674 34 true 674 674 674 674.674 674.674 char674 674.000000000 |
| 675 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 675 35 true 675 675 675 675.675 675.675 char675 675.000000000 |
| 676 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 676 36 true 676 676 676 676.676 676.676 char676 676.000000000 |
| 677 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 677 37 true 677 677 677 677.677 677.677 char677 677.000000000 |
| 678 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 678 38 true 678 678 678 678.678 678.678 char678 678.000000000 |
| 679 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 679 39 true 679 679 679 679.679 679.679 char679 679.000000000 |
| 680 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 680 40 true 680 680 680 680.68 680.6799999999999 char680 680.000000000 |
| 681 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 681 41 true 681 681 681 681.681 681.681 char681 681.000000000 |
| 682 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 682 42 true 682 682 682 682.682 682.682 char682 682.000000000 |
| 683 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 683 43 true 683 683 683 683.683 683.683 char683 683.000000000 |
| 684 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 684 44 true 684 684 684 684.684 684.684 char684 684.000000000 |
| 685 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 685 45 true 685 685 685 685.685 685.6849999999999 char685 685.000000000 |
| 686 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 686 46 true 686 686 686 686.686 686.686 char686 686.000000000 |
| 687 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 687 47 true 687 687 687 687.687 687.687 char687 687.000000000 |
| 688 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 688 48 true 688 688 688 688.688 688.688 char688 688.000000000 |
| 689 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 689 49 true 689 689 689 689.689 689.689 char689 689.000000000 |
| 690 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 690 50 true 690 690 690 690.69 690.6900000000001 char690 690.000000000 |
| 691 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 691 51 true 691 691 691 691.691 691.691 char691 691.000000000 |
| 692 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 692 52 true 692 692 692 692.692 692.692 char692 692.000000000 |
| 693 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 693 53 true 693 693 693 693.693 693.693 char693 693.000000000 |
| 694 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 694 54 true 694 694 694 694.694 694.694 char694 694.000000000 |
| 695 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 695 55 true 695 695 695 695.695 695.6950000000001 char695 695.000000000 |
| 696 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 696 56 true 696 696 696 696.696 696.696 char696 696.000000000 |
| 697 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 697 57 true 697 697 697 697.697 697.697 char697 697.000000000 |
| 698 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 698 58 true 698 698 698 698.698 698.698 char698 698.000000000 |
| 699 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 699 59 true 699 699 699 699.699 699.699 char699 699.000000000 |
| 700 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 700 60 true 700 700 700 700.7 700.7 char700 700.000000000 |
| 701 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 701 61 true 701 701 701 701.701 701.701 char701 701.000000000 |
| 702 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 702 62 true 702 702 702 702.702 702.702 char702 702.000000000 |
| 703 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 703 63 true 703 703 703 703.703 703.703 char703 703.000000000 |
| 704 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 704 64 true 704 704 704 704.704 704.704 char704 704.000000000 |
| 705 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 705 65 true 705 705 705 705.705 705.705 char705 705.000000000 |
| 706 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 706 66 true 706 706 706 706.706 706.706 char706 706.000000000 |
| 707 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 707 67 true 707 707 707 707.707 707.707 char707 707.000000000 |
| 708 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 708 68 true 708 708 708 708.708 708.708 char708 708.000000000 |
| 709 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 709 69 true 709 709 709 709.709 709.7089999999999 char709 709.000000000 |
| 710 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 710 70 true 710 710 710 710.71 710.71 char710 710.000000000 |
| 711 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 711 71 true 711 711 711 711.711 711.711 char711 711.000000000 |
| 712 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 712 72 true 712 712 712 712.712 712.712 char712 712.000000000 |
| 713 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 713 73 true 713 713 713 713.713 713.713 char713 713.000000000 |
| 714 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 714 74 true 714 714 714 714.714 714.7140000000001 char714 714.000000000 |
| 715 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 715 75 true 715 715 715 715.715 715.715 char715 715.000000000 |
| 716 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 716 76 true 716 716 716 716.716 716.716 char716 716.000000000 |
| 717 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 717 77 true 717 717 717 717.717 717.717 char717 717.000000000 |
| 718 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 718 78 true 718 718 718 718.718 718.718 char718 718.000000000 |
| 719 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 719 79 true 719 719 719 719.719 719.7190000000001 char719 719.000000000 |
| 720 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 720 80 true 720 720 720 720.72 720.72 char720 720.000000000 |
| 721 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 721 81 true 721 721 721 721.721 721.721 char721 721.000000000 |
| 722 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 722 82 true 722 722 722 722.722 722.722 char722 722.000000000 |
| 723 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 723 83 true 723 723 723 723.723 723.723 char723 723.000000000 |
| 724 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 724 84 true 724 724 724 724.724 724.724 char724 724.000000000 |
| 725 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 725 85 true 725 725 725 725.725 725.725 char725 725.000000000 |
| 726 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 726 86 true 726 726 726 726.726 726.726 char726 726.000000000 |
| 727 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 727 87 true 727 727 727 727.727 727.727 char727 727.000000000 |
| 728 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 728 88 true 728 728 728 728.728 728.728 char728 728.000000000 |
| 729 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 729 89 true 729 729 729 729.729 729.729 char729 729.000000000 |
| 730 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 730 90 true 730 730 730 730.73 730.73 char730 730.000000000 |
| 731 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 731 91 true 731 731 731 731.731 731.731 char731 731.000000000 |
| 732 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 732 92 true 732 732 732 732.732 732.732 char732 732.000000000 |
| 733 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 733 93 true 733 733 733 733.733 733.7329999999999 char733 733.000000000 |
| 734 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 734 94 true 734 734 734 734.734 734.734 char734 734.000000000 |
| 735 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 735 95 true 735 735 735 735.735 735.735 char735 735.000000000 |
| 736 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 736 96 true 736 736 736 736.736 736.736 char736 736.000000000 |
| 737 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 737 97 true 737 737 737 737.737 737.737 char737 737.000000000 |
| 738 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 738 98 true 738 738 738 738.738 738.7380000000001 char738 738.000000000 |
| 739 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 739 99 true 739 739 739 739.739 739.739 char739 739.000000000 |
| 740 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 740 100 true 740 740 740 740.74 740.74 char740 740.000000000 |
| 741 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 741 101 true 741 741 741 741.741 741.741 char741 741.000000000 |
| 742 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 742 102 true 742 742 742 742.742 742.742 char742 742.000000000 |
| 743 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 743 103 true 743 743 743 743.743 743.7430000000001 char743 743.000000000 |
| 744 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 744 104 true 744 744 744 744.744 744.744 char744 744.000000000 |
| 745 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 745 105 true 745 745 745 745.745 745.745 char745 745.000000000 |
| 746 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 746 106 true 746 746 746 746.746 746.746 char746 746.000000000 |
| 747 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 747 107 true 747 747 747 747.747 747.747 char747 747.000000000 |
| 748 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 748 108 true 748 748 748 748.748 748.748 char748 748.000000000 |
| 749 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 749 109 true 749 749 749 749.749 749.749 char749 749.000000000 |
| 750 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 750 110 true 750 750 750 750.75 750.75 char750 750.000000000 |
| 751 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 751 111 true 751 751 751 751.751 751.751 char751 751.000000000 |
| 752 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 752 112 true 752 752 752 752.752 752.752 char752 752.000000000 |
| 753 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 753 113 true 753 753 753 753.753 753.753 char753 753.000000000 |
| 754 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 754 114 true 754 754 754 754.754 754.754 char754 754.000000000 |
| 755 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 755 115 true 755 755 755 755.755 755.755 char755 755.000000000 |
| 756 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 756 116 true 756 756 756 756.756 756.756 char756 756.000000000 |
| 757 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 757 117 true 757 757 757 757.757 757.7569999999999 char757 757.000000000 |
| 758 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 758 118 true 758 758 758 758.758 758.758 char758 758.000000000 |
| 759 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 759 119 true 759 759 759 759.759 759.759 char759 759.000000000 |
| 760 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 760 120 true 760 760 760 760.76 760.76 char760 760.000000000 |
| 761 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 761 121 true 761 761 761 761.761 761.761 char761 761.000000000 |
| 762 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 762 122 true 762 762 762 762.762 762.7619999999999 char762 762.000000000 |
| 763 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 763 123 true 763 763 763 763.763 763.763 char763 763.000000000 |
| 764 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 764 124 true 764 764 764 764.764 764.764 char764 764.000000000 |
| 765 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 765 125 true 765 765 765 765.765 765.765 char765 765.000000000 |
| 766 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 766 126 true 766 766 766 766.766 766.766 char766 766.000000000 |
| 767 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 767 127 true 767 767 767 767.767 767.7670000000001 char767 767.000000000 |
| 768 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 768 0 true 768 768 768 768.768 768.768 char768 768.000000000 |
| 769 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 769 1 true 769 769 769 769.769 769.769 char769 769.000000000 |
| 770 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 770 2 true 770 770 770 770.77 770.77 char770 770.000000000 |
| 771 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 771 3 true 771 771 771 771.771 771.771 char771 771.000000000 |
| 772 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 772 4 true 772 772 772 772.772 772.772 char772 772.000000000 |
| 773 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 773 5 true 773 773 773 773.773 773.773 char773 773.000000000 |
| 774 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 774 6 true 774 774 774 774.774 774.774 char774 774.000000000 |
| 775 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 775 7 true 775 775 775 775.775 775.775 char775 775.000000000 |
| 776 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 776 8 true 776 776 776 776.776 776.776 char776 776.000000000 |
| 777 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 777 9 true 777 777 777 777.777 777.777 char777 777.000000000 |
| 778 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 778 10 true 778 778 778 778.778 778.778 char778 778.000000000 |
| 779 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 779 11 true 779 779 779 779.779 779.779 char779 779.000000000 |
| 780 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 780 12 true 780 780 780 780.78 780.78 char780 780.000000000 |
| 781 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 781 13 true 781 781 781 781.781 781.7809999999999 char781 781.000000000 |
| 782 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 782 14 true 782 782 782 782.782 782.782 char782 782.000000000 |
| 783 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 783 15 true 783 783 783 783.783 783.783 char783 783.000000000 |
| 784 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 784 16 true 784 784 784 784.784 784.784 char784 784.000000000 |
| 785 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 785 17 true 785 785 785 785.785 785.785 char785 785.000000000 |
| 786 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 786 18 true 786 786 786 786.786 786.7859999999999 char786 786.000000000 |
| 787 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 787 19 true 787 787 787 787.787 787.787 char787 787.000000000 |
| 788 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 788 20 true 788 788 788 788.788 788.788 char788 788.000000000 |
| 789 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 789 21 true 789 789 789 789.789 789.789 char789 789.000000000 |
| 790 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 790 22 true 790 790 790 790.79 790.79 char790 790.000000000 |
| 791 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 791 23 true 791 791 791 791.791 791.7910000000001 char791 791.000000000 |
| 792 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 792 24 true 792 792 792 792.792 792.792 char792 792.000000000 |
| 793 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 793 25 true 793 793 793 793.793 793.793 char793 793.000000000 |
| 794 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 794 26 true 794 794 794 794.794 794.794 char794 794.000000000 |
| 795 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 795 27 true 795 795 795 795.795 795.795 char795 795.000000000 |
| 796 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 796 28 true 796 796 796 796.796 796.796 char796 796.000000000 |
| 797 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 797 29 true 797 797 797 797.797 797.797 char797 797.000000000 |
| 798 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 798 30 true 798 798 798 798.798 798.798 char798 798.000000000 |
| 799 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 799 31 true 799 799 799 799.799 799.799 char799 799.000000000 |
| 800 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 800 32 true 800 800 800 800.8 800.8 char800 800.000000000 |
| 801 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 801 33 true 801 801 801 801.801 801.801 char801 801.000000000 |
| 802 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 802 34 true 802 802 802 802.802 802.802 char802 802.000000000 |
| 803 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 803 35 true 803 803 803 803.803 803.803 char803 803.000000000 |
| 804 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 804 36 true 804 804 804 804.804 804.804 char804 804.000000000 |
| 805 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 805 37 true 805 805 805 805.805 805.8049999999999 char805 805.000000000 |
| 806 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 806 38 true 806 806 806 806.806 806.806 char806 806.000000000 |
| 807 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 807 39 true 807 807 807 807.807 807.807 char807 807.000000000 |
| 808 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 808 40 true 808 808 808 808.808 808.808 char808 808.000000000 |
| 809 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 809 41 true 809 809 809 809.809 809.809 char809 809.000000000 |
| 810 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 810 42 true 810 810 810 810.81 810.8099999999999 char810 810.000000000 |
| 811 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 811 43 true 811 811 811 811.811 811.811 char811 811.000000000 |
| 812 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 812 44 true 812 812 812 812.812 812.812 char812 812.000000000 |
| 813 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 813 45 true 813 813 813 813.813 813.813 char813 813.000000000 |
| 814 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 814 46 true 814 814 814 814.814 814.814 char814 814.000000000 |
| 815 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 815 47 true 815 815 815 815.815 815.8150000000001 char815 815.000000000 |
| 816 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 816 48 true 816 816 816 816.816 816.816 char816 816.000000000 |
| 817 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 817 49 true 817 817 817 817.817 817.817 char817 817.000000000 |
| 818 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 818 50 true 818 818 818 818.818 818.818 char818 818.000000000 |
| 819 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 819 51 true 819 819 819 819.819 819.819 char819 819.000000000 |
| 820 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 820 52 true 820 820 820 820.82 820.8200000000001 char820 820.000000000 |
| 821 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 821 53 true 821 821 821 821.821 821.821 char821 821.000000000 |
| 822 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 822 54 true 822 822 822 822.822 822.822 char822 822.000000000 |
| 823 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 823 55 true 823 823 823 823.823 823.823 char823 823.000000000 |
| 824 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 824 56 true 824 824 824 824.824 824.824 char824 824.000000000 |
| 825 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 825 57 true 825 825 825 825.825 825.825 char825 825.000000000 |
| 826 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 826 58 true 826 826 826 826.826 826.826 char826 826.000000000 |
| 827 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 827 59 true 827 827 827 827.827 827.827 char827 827.000000000 |
| 828 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 828 60 true 828 828 828 828.828 828.828 char828 828.000000000 |
| 829 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 829 61 true 829 829 829 829.829 829.829 char829 829.000000000 |
| 830 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 830 62 true 830 830 830 830.83 830.83 char830 830.000000000 |
| 831 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 831 63 true 831 831 831 831.831 831.831 char831 831.000000000 |
| 832 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 832 64 true 832 832 832 832.832 832.832 char832 832.000000000 |
| 833 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 833 65 true 833 833 833 833.833 833.833 char833 833.000000000 |
| 834 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 834 66 true 834 834 834 834.834 834.8339999999999 char834 834.000000000 |
| 835 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 835 67 true 835 835 835 835.835 835.835 char835 835.000000000 |
| 836 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 836 68 true 836 836 836 836.836 836.836 char836 836.000000000 |
| 837 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 837 69 true 837 837 837 837.837 837.837 char837 837.000000000 |
| 838 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 838 70 true 838 838 838 838.838 838.838 char838 838.000000000 |
| 839 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 839 71 true 839 839 839 839.839 839.8390000000001 char839 839.000000000 |
| 840 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 840 72 true 840 840 840 840.84 840.84 char840 840.000000000 |
| 841 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 841 73 true 841 841 841 841.841 841.841 char841 841.000000000 |
| 842 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 842 74 true 842 842 842 842.842 842.842 char842 842.000000000 |
| 843 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 843 75 true 843 843 843 843.843 843.843 char843 843.000000000 |
| 844 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 844 76 true 844 844 844 844.844 844.8440000000001 char844 844.000000000 |
| 845 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 845 77 true 845 845 845 845.845 845.845 char845 845.000000000 |
| 846 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 846 78 true 846 846 846 846.846 846.846 char846 846.000000000 |
| 847 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 847 79 true 847 847 847 847.847 847.847 char847 847.000000000 |
| 848 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 848 80 true 848 848 848 848.848 848.848 char848 848.000000000 |
| 849 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 849 81 true 849 849 849 849.849 849.849 char849 849.000000000 |
| 850 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 850 82 true 850 850 850 850.85 850.85 char850 850.000000000 |
| 851 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 851 83 true 851 851 851 851.851 851.851 char851 851.000000000 |
| 852 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 852 84 true 852 852 852 852.852 852.852 char852 852.000000000 |
| 853 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 853 85 true 853 853 853 853.853 853.853 char853 853.000000000 |
| 854 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 854 86 true 854 854 854 854.854 854.854 char854 854.000000000 |
| 855 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 855 87 true 855 855 855 855.855 855.855 char855 855.000000000 |
| 856 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 856 88 true 856 856 856 856.856 856.856 char856 856.000000000 |
| 857 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 857 89 true 857 857 857 857.857 857.857 char857 857.000000000 |
| 858 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 858 90 true 858 858 858 858.858 858.8579999999999 char858 858.000000000 |
| 859 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 859 91 true 859 859 859 859.859 859.859 char859 859.000000000 |
| 860 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 860 92 true 860 860 860 860.86 860.86 char860 860.000000000 |
| 861 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 861 93 true 861 861 861 861.861 861.861 char861 861.000000000 |
| 862 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 862 94 true 862 862 862 862.862 862.862 char862 862.000000000 |
| 863 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 863 95 true 863 863 863 863.863 863.8630000000001 char863 863.000000000 |
| 864 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 864 96 true 864 864 864 864.864 864.864 char864 864.000000000 |
| 865 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 865 97 true 865 865 865 865.865 865.865 char865 865.000000000 |
| 866 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 866 98 true 866 866 866 866.866 866.866 char866 866.000000000 |
| 867 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 867 99 true 867 867 867 867.867 867.867 char867 867.000000000 |
| 868 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 868 100 true 868 868 868 868.868 868.8680000000001 char868 868.000000000 |
| 869 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 869 101 true 869 869 869 869.869 869.869 char869 869.000000000 |
| 870 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 870 102 true 870 870 870 870.87 870.87 char870 870.000000000 |
| 871 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 871 103 true 871 871 871 871.871 871.871 char871 871.000000000 |
| 872 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 872 104 true 872 872 872 872.872 872.872 char872 872.000000000 |
| 873 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 873 105 true 873 873 873 873.873 873.873 char873 873.000000000 |
| 874 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 874 106 true 874 874 874 874.874 874.874 char874 874.000000000 |
| 875 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 875 107 true 875 875 875 875.875 875.875 char875 875.000000000 |
| 876 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 876 108 true 876 876 876 876.876 876.876 char876 876.000000000 |
| 877 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 877 109 true 877 877 877 877.877 877.877 char877 877.000000000 |
| 878 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 878 110 true 878 878 878 878.878 878.878 char878 878.000000000 |
| 879 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 879 111 true 879 879 879 879.879 879.879 char879 879.000000000 |
| 880 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 880 112 true 880 880 880 880.88 880.88 char880 880.000000000 |
| 881 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 881 113 true 881 881 881 881.881 881.881 char881 881.000000000 |
| 882 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 882 114 true 882 882 882 882.882 882.8819999999999 char882 882.000000000 |
| 883 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 883 115 true 883 883 883 883.883 883.883 char883 883.000000000 |
| 884 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 884 116 true 884 884 884 884.884 884.884 char884 884.000000000 |
| 885 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 885 117 true 885 885 885 885.885 885.885 char885 885.000000000 |
| 886 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 886 118 true 886 886 886 886.886 886.886 char886 886.000000000 |
| 887 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 887 119 true 887 887 887 887.887 887.8869999999999 char887 887.000000000 |
| 888 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 888 120 true 888 888 888 888.888 888.888 char888 888.000000000 |
| 889 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 889 121 true 889 889 889 889.889 889.889 char889 889.000000000 |
| 890 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 890 122 true 890 890 890 890.89 890.89 char890 890.000000000 |
| 891 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 891 123 true 891 891 891 891.891 891.891 char891 891.000000000 |
| 892 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 892 124 true 892 892 892 892.892 892.8920000000001 char892 892.000000000 |
| 893 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 893 125 true 893 893 893 893.893 893.893 char893 893.000000000 |
| 894 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 894 126 true 894 894 894 894.894 894.894 char894 894.000000000 |
| 895 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 895 127 true 895 895 895 895.895 895.895 char895 895.000000000 |
| 896 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 896 0 true 896 896 896 896.896 896.896 char896 896.000000000 |
| 897 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 897 1 true 897 897 897 897.897 897.897 char897 897.000000000 |
| 898 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 898 2 true 898 898 898 898.898 898.898 char898 898.000000000 |
| 899 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 899 3 true 899 899 899 899.899 899.899 char899 899.000000000 |
| 900 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 900 4 true 900 900 900 900.9 900.9 char900 900.000000000 |
| 901 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 901 5 true 901 901 901 901.901 901.901 char901 901.000000000 |
| 902 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 902 6 true 902 902 902 902.902 902.902 char902 902.000000000 |
| 903 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 903 7 true 903 903 903 903.903 903.903 char903 903.000000000 |
| 904 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 904 8 true 904 904 904 904.904 904.904 char904 904.000000000 |
| 905 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 905 9 true 905 905 905 905.905 905.905 char905 905.000000000 |
| 906 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 906 10 true 906 906 906 906.906 906.9059999999999 char906 906.000000000 |
| 907 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 907 11 true 907 907 907 907.907 907.907 char907 907.000000000 |
| 908 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 908 12 true 908 908 908 908.908 908.908 char908 908.000000000 |
| 909 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 909 13 true 909 909 909 909.909 909.909 char909 909.000000000 |
| 910 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 910 14 true 910 910 910 910.91 910.91 char910 910.000000000 |
| 911 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 911 15 true 911 911 911 911.911 911.9109999999999 char911 911.000000000 |
| 912 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 912 16 true 912 912 912 912.912 912.912 char912 912.000000000 |
| 913 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 913 17 true 913 913 913 913.913 913.913 char913 913.000000000 |
| 914 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 914 18 true 914 914 914 914.914 914.914 char914 914.000000000 |
| 915 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 915 19 true 915 915 915 915.915 915.915 char915 915.000000000 |
| 916 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 916 20 true 916 916 916 916.916 916.9160000000001 char916 916.000000000 |
| 917 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 917 21 true 917 917 917 917.917 917.917 char917 917.000000000 |
| 918 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 918 22 true 918 918 918 918.918 918.918 char918 918.000000000 |
| 919 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 919 23 true 919 919 919 919.919 919.919 char919 919.000000000 |
| 920 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 920 24 true 920 920 920 920.92 920.92 char920 920.000000000 |
| 921 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 921 25 true 921 921 921 921.921 921.921 char921 921.000000000 |
| 922 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 922 26 true 922 922 922 922.922 922.922 char922 922.000000000 |
| 923 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 923 27 true 923 923 923 923.923 923.923 char923 923.000000000 |
| 924 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 924 28 true 924 924 924 924.924 924.924 char924 924.000000000 |
| 925 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 925 29 true 925 925 925 925.925 925.925 char925 925.000000000 |
| 926 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 926 30 true 926 926 926 926.926 926.926 char926 926.000000000 |
| 927 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 927 31 true 927 927 927 927.927 927.927 char927 927.000000000 |
| 928 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 928 32 true 928 928 928 928.928 928.928 char928 928.000000000 |
| 929 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 929 33 true 929 929 929 929.929 929.929 char929 929.000000000 |
| 930 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 930 34 true 930 930 930 930.93 930.9299999999999 char930 930.000000000 |
| 931 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 931 35 true 931 931 931 931.931 931.931 char931 931.000000000 |
| 932 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 932 36 true 932 932 932 932.932 932.932 char932 932.000000000 |
| 933 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 933 37 true 933 933 933 933.933 933.933 char933 933.000000000 |
| 934 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 934 38 true 934 934 934 934.934 934.934 char934 934.000000000 |
| 935 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 935 39 true 935 935 935 935.935 935.9349999999999 char935 935.000000000 |
| 936 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 936 40 true 936 936 936 936.936 936.936 char936 936.000000000 |
| 937 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 937 41 true 937 937 937 937.937 937.937 char937 937.000000000 |
| 938 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 938 42 true 938 938 938 938.938 938.938 char938 938.000000000 |
| 939 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 939 43 true 939 939 939 939.939 939.939 char939 939.000000000 |
| 940 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 940 44 true 940 940 940 940.94 940.9400000000001 char940 940.000000000 |
| 941 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 941 45 true 941 941 941 941.941 941.941 char941 941.000000000 |
| 942 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 942 46 true 942 942 942 942.942 942.942 char942 942.000000000 |
| 943 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 943 47 true 943 943 943 943.943 943.943 char943 943.000000000 |
| 944 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 944 48 true 944 944 944 944.944 944.944 char944 944.000000000 |
| 945 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 945 49 true 945 945 945 945.945 945.9450000000001 char945 945.000000000 |
| 946 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 946 50 true 946 946 946 946.946 946.946 char946 946.000000000 |
| 947 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 947 51 true 947 947 947 947.947 947.947 char947 947.000000000 |
| 948 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 948 52 true 948 948 948 948.948 948.948 char948 948.000000000 |
| 949 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 949 53 true 949 949 949 949.949 949.949 char949 949.000000000 |
| 950 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 950 54 true 950 950 950 950.95 950.95 char950 950.000000000 |
| 951 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 951 55 true 951 951 951 951.951 951.951 char951 951.000000000 |
| 952 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 952 56 true 952 952 952 952.952 952.952 char952 952.000000000 |
| 953 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 953 57 true 953 953 953 953.953 953.953 char953 953.000000000 |
| 954 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 954 58 true 954 954 954 954.954 954.954 char954 954.000000000 |
| 955 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 955 59 true 955 955 955 955.955 955.955 char955 955.000000000 |
| 956 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 956 60 true 956 956 956 956.956 956.956 char956 956.000000000 |
| 957 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 957 61 true 957 957 957 957.957 957.957 char957 957.000000000 |
| 958 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 958 62 true 958 958 958 958.958 958.958 char958 958.000000000 |
| 959 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 959 63 true 959 959 959 959.959 959.9589999999999 char959 959.000000000 |
| 960 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 960 64 true 960 960 960 960.96 960.96 char960 960.000000000 |
| 961 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 961 65 true 961 961 961 961.961 961.961 char961 961.000000000 |
| 962 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 962 66 true 962 962 962 962.962 962.962 char962 962.000000000 |
| 963 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 963 67 true 963 963 963 963.963 963.963 char963 963.000000000 |
| 964 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 964 68 true 964 964 964 964.964 964.9640000000001 char964 964.000000000 |
| 965 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 965 69 true 965 965 965 965.965 965.965 char965 965.000000000 |
| 966 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 966 70 true 966 966 966 966.966 966.966 char966 966.000000000 |
| 967 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 967 71 true 967 967 967 967.967 967.967 char967 967.000000000 |
| 968 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 968 72 true 968 968 968 968.968 968.968 char968 968.000000000 |
| 969 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 969 73 true 969 969 969 969.969 969.9690000000001 char969 969.000000000 |
| 970 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 970 74 true 970 970 970 970.97 970.97 char970 970.000000000 |
| 971 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 971 75 true 971 971 971 971.971 971.971 char971 971.000000000 |
| 972 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 972 76 true 972 972 972 972.972 972.972 char972 972.000000000 |
| 973 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 973 77 true 973 973 973 973.973 973.973 char973 973.000000000 |
| 974 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 974 78 true 974 974 974 974.974 974.974 char974 974.000000000 |
| 975 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 975 79 true 975 975 975 975.975 975.975 char975 975.000000000 |
| 976 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 976 80 true 976 976 976 976.976 976.976 char976 976.000000000 |
| 977 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 977 81 true 977 977 977 977.977 977.977 char977 977.000000000 |
| 978 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 978 82 true 978 978 978 978.978 978.978 char978 978.000000000 |
| 979 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 979 83 true 979 979 979 979.979 979.979 char979 979.000000000 |
| 980 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 980 84 true 980 980 980 980.98 980.98 char980 980.000000000 |
| 981 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 981 85 true 981 981 981 981.981 981.981 char981 981.000000000 |
| 982 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 982 86 true 982 982 982 982.982 982.982 char982 982.000000000 |
| 983 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 983 87 true 983 983 983 983.983 983.9829999999999 char983 983.000000000 |
| 984 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 984 88 true 984 984 984 984.984 984.984 char984 984.000000000 |
| 985 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 985 89 true 985 985 985 985.985 985.985 char985 985.000000000 |
| 986 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 986 90 true 986 986 986 986.986 986.986 char986 986.000000000 |
| 987 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 987 91 true 987 987 987 987.987 987.987 char987 987.000000000 |
| 988 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 988 92 true 988 988 988 988.988 988.9880000000001 char988 988.000000000 |
| 989 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 989 93 true 989 989 989 989.989 989.989 char989 989.000000000 |
| 990 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 990 94 true 990 990 990 990.99 990.99 char990 990.000000000 |
| 991 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 991 95 true 991 991 991 991.991 991.991 char991 991.000000000 |
| 992 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 992 96 true 992 992 992 992.992 992.992 char992 992.000000000 |
| 993 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 993 97 true 993 993 993 993.993 993.9930000000001 char993 993.000000000 |
| 994 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 994 98 true 994 994 994 994.994 994.994 char994 994.000000000 |
| 995 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 995 99 true 995 995 995 995.995 995.995 char995 995.000000000 |
| 996 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 996 100 true 996 996 996 996.996 996.996 char996 996.000000000 |
| 997 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 997 101 true 997 997 997 997.997 997.997 char997 997.000000000 |
| 998 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 998 102 true 998 998 998 998.998 998.998 char998 998.000000000 |
| 999 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 999 103 true 999 999 999 999.999 999.999 char999 999.000000000 |
| 1000 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N |
| |
