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| 3 layers | CN¥ 268.0 |
| 4 layers | CN¥ 338.0 |
| 5 layers | CN¥ 398.0 |
| 6 layers | CN¥ 468.0 |
| 7 layers | CN¥ 578.0 |
| 3 layers | CN¥ 268.0 |
| 4 layers | CN¥ 338.0 |
| 5 layers | CN¥ 398.0 |
| 6 layers | CN¥ 468.0 |
| 7 layers | CN¥ 578.0 |
| 3 layers | CN¥ 258.0 |
| 4 layers | CN¥ 328.0 |
| 5 layers | CN¥ 388.0 |
| 6 layers | CN¥ 458.0 |
| 7 layers | CN¥ 568.0 |
| 3 layers | CN¥ 258.0 |
| 4 layers | CN¥ 328.0 |
| 5 layers | CN¥ 388.0 |
| 6 layers | CN¥ 458.0 |
| 7 layers | CN¥ 568.0 |
| 3 layers | CN¥ 258.0 |
| 4 layers | CN¥ 328.0 |
| 5 layers | CN¥ 388.0 |
| 6 layers | CN¥ 458.0 |
| 7 layers | CN¥ 568.0 |
| 3 layers | CN¥ 258.0 |
| 4 layers | CN¥ 328.0 |
| 5 layers | CN¥ 388.0 |
| 6 layers | CN¥ 458.0 |
| 7 layers | CN¥ 568.0 |
| 3 layers | CN¥ 578.0 |
| 4 layers | CN¥ 578.0 |
| 5 layers | CN¥ 578.0 |
| 6 layers | CN¥ 578.0 |
| 7 layers | CN¥ 578.0 |
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