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| 1 layer | CN¥ 41.25 |
| 2 layers | CN¥ 72.25 |
| 3 layers | CN¥ 108.63 |
| 4 layers | CN¥ 134.25 |
| 5 layers | CN¥ 159.38 |
| 1 layer | CN¥ 52.25 |
| 2 layers | CN¥ 96.13 |
| 3 layers | CN¥ 133.0 |
| 4 layers | CN¥ 171.75 |
| 5 layers | CN¥ 209.25 |
| 1 layer | CN¥ 60.0 |
| 2 layers | CN¥ 114.88 |
| 3 layers | CN¥ 146.75 |
| 4 layers | CN¥ 183.63 |
| 5 layers | CN¥ 221.75 |
| 1 layer | CN¥ 72.5 |
| 2 layers | CN¥ 146.13 |
| 3 layers | CN¥ 196.75 |
| 4 layers | CN¥ 246.0 |
| 5 layers | CN¥ 295.25 |
| 1 layer | CN¥ 96.13 |
| 2 layers | CN¥ 171.75 |
| 3 layers | CN¥ 246.13 |
| 4 layers | CN¥ 321.13 |
| 5 layers | CN¥ 371.75 |
| 1 layer | CN¥ 60.0 |
| 2 layers | CN¥ 114.88 |
| 3 layers | CN¥ 146.75 |
| 4 layers | CN¥ 183.63 |
| 5 layers | CN¥ 221.75 |
| 1 layer | CN¥ 72.5 |
| 2 layers | CN¥ 146.13 |
| 3 layers | CN¥ 196.75 |
| 4 layers | CN¥ 246.0 |
| 5 layers | CN¥ 295.25 |
| 1 layer | CN¥ 96.13 |
| 2 layers | CN¥ 171.75 |
| 3 layers | CN¥ 246.13 |
| 4 layers | CN¥ 321.13 |
| 5 layers | CN¥ 371.75 |
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