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| 1 layer | CN¥ 49.22 |
| 2 layers | CN¥ 82.04 |
| 3 layers | CN¥ 118.12 |
| 4 layers | CN¥ 145.69 |
| 5 layers | CN¥ 178.23 |
| 1 layer | CN¥ 59.41 |
| 2 layers | CN¥ 108.92 |
| 3 layers | CN¥ 152.77 |
| 4 layers | CN¥ 199.44 |
| 5 layers | CN¥ 244.71 |
| 1 layer | CN¥ 97.32 |
| 2 layers | CN¥ 171.15 |
| 3 layers | CN¥ 234.52 |
| 4 layers | CN¥ 305.53 |
| 5 layers | CN¥ 372.01 |
| 1 layer | CN¥ 49.22 |
| 2 layers | CN¥ 82.04 |
| 3 layers | CN¥ 118.12 |
| 4 layers | CN¥ 145.69 |
| 5 layers | CN¥ 178.23 |
| 1 layer | CN¥ 59.41 |
| 2 layers | CN¥ 108.92 |
| 3 layers | CN¥ 152.77 |
| 4 layers | CN¥ 199.44 |
| 5 layers | CN¥ 244.71 |
| 1 layer | CN¥ 97.32 |
| 2 layers | CN¥ 171.15 |
| 3 layers | CN¥ 234.52 |
| 4 layers | CN¥ 305.53 |
| 5 layers | CN¥ 372.01 |
| 1 layer | CN¥ 49.22 |
| 2 layers | CN¥ 82.04 |
| 3 layers | CN¥ 118.12 |
| 4 layers | CN¥ 145.69 |
| 5 layers | CN¥ 178.23 |
| 1 layer | CN¥ 59.41 |
| 2 layers | CN¥ 108.92 |
| 3 layers | CN¥ 152.77 |
| 4 layers | CN¥ 199.44 |
| 5 layers | CN¥ 244.71 |
| 1 layer | CN¥ 97.32 |
| 2 layers | CN¥ 171.15 |
| 3 layers | CN¥ 234.52 |
| 4 layers | CN¥ 305.53 |
| 5 layers | CN¥ 372.01 |
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