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SINet

Image Segmentation
PyTorch
LiteRT
ONNX
android
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v0.30.5

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See https://github.com/quic/ai-hub-models/releases/v0.30.5 for changelog.

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  1. README.md +33 -33
README.md CHANGED
@@ -35,35 +35,35 @@ More details on model performance across various devices, can be found
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3.809 ms | 0 - 15 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 3.575 ms | 0 - 10 MB | NPU | Use Export Script |
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- | SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.949 ms | 0 - 26 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 2.468 ms | 1 - 31 MB | NPU | Use Export Script |
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- | SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1.713 ms | 0 - 7 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 1.656 ms | 1 - 3 MB | NPU | Use Export Script |
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- | SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 2.254 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 2.142 ms | 1 - 15 MB | NPU | Use Export Script |
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- | SINet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3.809 ms | 0 - 15 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 3.575 ms | 0 - 10 MB | NPU | Use Export Script |
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- | SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1.723 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 1.65 ms | 1 - 3 MB | NPU | Use Export Script |
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- | SINet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.415 ms | 0 - 21 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 2.394 ms | 0 - 18 MB | NPU | Use Export Script |
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- | SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1.715 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 1.65 ms | 0 - 2 MB | NPU | Use Export Script |
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- | SINet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 2.254 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 2.142 ms | 1 - 15 MB | NPU | Use Export Script |
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- | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 1.701 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 1.671 ms | 0 - 7 MB | NPU | Use Export Script |
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- | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.323 ms | 1 - 10 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.142 ms | 0 - 31 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.099 ms | 1 - 33 MB | NPU | Use Export Script |
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- | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.49 ms | 1 - 27 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1.05 ms | 0 - 22 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.825 ms | 1 - 24 MB | NPU | Use Export Script |
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- | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.278 ms | 1 - 25 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.916 ms | 1 - 1 MB | NPU | Use Export Script |
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- | SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.429 ms | 2 - 2 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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@@ -127,8 +127,8 @@ Profiling Results
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  SINet
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 3.8
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- Estimated peak memory usage (MB): [0, 15]
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  Total # Ops : 222
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  Compute Unit(s) : npu (222 ops) gpu (0 ops) cpu (0 ops)
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  ```
@@ -217,13 +217,13 @@ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
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  You can also run the demo on-device.
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  ```bash
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- python -m qai_hub_models.models.sinet.demo --on-device
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  ```
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  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
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  ```
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- %run -m qai_hub_models.models.sinet.demo -- --on-device
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  ```
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 9.758 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 9.382 ms | 0 - 10 MB | NPU | Use Export Script |
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+ | SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.807 ms | 0 - 29 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 2.289 ms | 1 - 32 MB | NPU | Use Export Script |
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+ | SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1.624 ms | 0 - 7 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 1.541 ms | 1 - 3 MB | NPU | Use Export Script |
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+ | SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 2.121 ms | 0 - 18 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 1.918 ms | 1 - 12 MB | NPU | Use Export Script |
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+ | SINet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 9.758 ms | 0 - 17 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 9.382 ms | 0 - 10 MB | NPU | Use Export Script |
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+ | SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1.628 ms | 0 - 7 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 1.547 ms | 1 - 3 MB | NPU | Use Export Script |
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+ | SINet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.373 ms | 0 - 19 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 2.34 ms | 0 - 17 MB | NPU | Use Export Script |
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+ | SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1.616 ms | 0 - 5 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 1.546 ms | 1 - 3 MB | NPU | Use Export Script |
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+ | SINet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 2.121 ms | 0 - 18 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 1.918 ms | 1 - 12 MB | NPU | Use Export Script |
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+ | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 1.629 ms | 0 - 6 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 1.559 ms | 1 - 8 MB | NPU | Use Export Script |
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+ | SINet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.11 ms | 2 - 11 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.086 ms | 0 - 36 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.041 ms | 1 - 31 MB | NPU | Use Export Script |
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+ | SINet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.368 ms | 0 - 32 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.999 ms | 0 - 20 MB | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.765 ms | 1 - 21 MB | NPU | Use Export Script |
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+ | SINet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.137 ms | 1 - 25 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.787 ms | 1 - 1 MB | NPU | Use Export Script |
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+ | SINet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.328 ms | 2 - 2 MB | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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  SINet
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 9.8
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+ Estimated peak memory usage (MB): [0, 17]
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  Total # Ops : 222
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  Compute Unit(s) : npu (222 ops) gpu (0 ops) cpu (0 ops)
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  ```
 
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  You can also run the demo on-device.
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  ```bash
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+ python -m qai_hub_models.models.sinet.demo --eval-mode on-device
221
  ```
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223
  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
225
  ```
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+ %run -m qai_hub_models.models.sinet.demo -- --eval-mode on-device
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  ```
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