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Submitting job: /common/home/users/d/dh.huang.2023/code/rapget-translation/scripts/eval-mac.sh
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Thu Aug  8 22:28:28 2024       
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| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
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| N/A   35C    P8             34W /  300W |       1MiB /  46068MiB |      0%      Default |
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| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
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MemTotal:       527669148 kB
Requirement already satisfied: torch in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (2.4.0)
Requirement already satisfied: torchvision in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (0.19.0)
Requirement already satisfied: torchaudio in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (2.4.0)
Requirement already satisfied: filelock in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (3.13.1)
Requirement already satisfied: typing-extensions>=4.8.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (4.9.0)
Requirement already satisfied: sympy in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (1.12)
Requirement already satisfied: networkx in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (3.1)
Requirement already satisfied: jinja2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (3.1.3)
Requirement already satisfied: fsspec in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (2024.3.1)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.105)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.105)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.105)
Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (9.1.0.70)
Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.3.1)
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (11.0.2.54)
Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (10.3.2.106)
Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (11.4.5.107)
Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.0.106)
Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (2.20.5)
Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (12.1.105)
Requirement already satisfied: triton==3.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch) (3.0.0)
Requirement already satisfied: nvidia-nvjitlink-cu12 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch) (12.4.127)
Requirement already satisfied: numpy in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torchvision) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torchvision) (10.2.0)
Requirement already satisfied: MarkupSafe>=2.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jinja2->torch) (2.1.3)
Requirement already satisfied: mpmath>=0.19 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from sympy->torch) (1.3.0)
Requirement already satisfied: huggingface_hub==0.24.2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 1)) (0.24.2)
Requirement already satisfied: nltk==3.8.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 2)) (3.8.1)
Requirement already satisfied: python-dotenv==1.0.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 3)) (1.0.1)
Requirement already satisfied: black==24.4.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 4)) (24.4.0)
Requirement already satisfied: evaluate==0.4.2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 5)) (0.4.2)
Requirement already satisfied: rouge_score==0.1.2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 6)) (0.1.2)
Requirement already satisfied: pytest==8.2.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 7)) (8.2.1)
Requirement already satisfied: seaborn==0.13.2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 8)) (0.13.2)
Requirement already satisfied: scikit-learn==1.5.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 9)) (1.5.0)
Requirement already satisfied: jupyter in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 10)) (1.0.0)
Requirement already satisfied: ipywidgets in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 11)) (8.1.3)
Requirement already satisfied: packaging in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 12)) (23.2)
Requirement already satisfied: langchain_openai==0.1.13 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 13)) (0.1.13)
Requirement already satisfied: wandb==0.17.6 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 14)) (0.17.6)
Requirement already satisfied: transformers==4.43.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 15)) (4.43.3)
Requirement already satisfied: bitsandbytes==0.43.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 16)) (0.43.3)
Requirement already satisfied: sentencepiece==0.2.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 17)) (0.2.0)
Requirement already satisfied: einops==0.8.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 18)) (0.8.0)
Requirement already satisfied: accelerate==0.32.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 19)) (0.32.0)
Requirement already satisfied: peft==0.11.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from -r requirements.txt (line 20)) (0.11.1)
Requirement already satisfied: filelock in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (3.13.1)
Requirement already satisfied: fsspec>=2023.5.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (2024.3.1)
Requirement already satisfied: pyyaml>=5.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (6.0.1)
Requirement already satisfied: requests in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (2.31.0)
Requirement already satisfied: tqdm>=4.42.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (4.66.2)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from huggingface_hub==0.24.2->-r requirements.txt (line 1)) (4.9.0)
Requirement already satisfied: click in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (8.1.7)
Requirement already satisfied: joblib in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (1.4.0)
Requirement already satisfied: regex>=2021.8.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (2024.4.16)
Requirement already satisfied: mypy-extensions>=0.4.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from black==24.4.0->-r requirements.txt (line 4)) (1.0.0)
Requirement already satisfied: pathspec>=0.9.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from black==24.4.0->-r requirements.txt (line 4)) (0.12.1)
Requirement already satisfied: platformdirs>=2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from black==24.4.0->-r requirements.txt (line 4)) (4.2.1)
Requirement already satisfied: datasets>=2.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (2.19.1)
Requirement already satisfied: numpy>=1.17 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (1.26.4)
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Requirement already satisfied: xxhash in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (3.4.1)
Requirement already satisfied: multiprocess in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (0.70.16)
Requirement already satisfied: absl-py in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from rouge_score==0.1.2->-r requirements.txt (line 6)) (2.1.0)
Requirement already satisfied: six>=1.14.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from rouge_score==0.1.2->-r requirements.txt (line 6)) (1.16.0)
Requirement already satisfied: iniconfig in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from pytest==8.2.1->-r requirements.txt (line 7)) (2.0.0)
Requirement already satisfied: pluggy<2.0,>=1.5 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from pytest==8.2.1->-r requirements.txt (line 7)) (1.5.0)
Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from seaborn==0.13.2->-r requirements.txt (line 8)) (3.8.4)
Requirement already satisfied: scipy>=1.6.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from scikit-learn==1.5.0->-r requirements.txt (line 9)) (1.13.0)
Requirement already satisfied: threadpoolctl>=3.1.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from scikit-learn==1.5.0->-r requirements.txt (line 9)) (3.5.0)
Requirement already satisfied: langchain-core<0.3,>=0.2.2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain_openai==0.1.13->-r requirements.txt (line 13)) (0.2.24)
Requirement already satisfied: openai<2.0.0,>=1.32.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain_openai==0.1.13->-r requirements.txt (line 13)) (1.35.13)
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Requirement already satisfied: gitpython!=3.1.29,>=1.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (3.1.43)
Requirement already satisfied: protobuf!=4.21.0,<6,>=3.19.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (3.20.3)
Requirement already satisfied: psutil>=5.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (5.9.8)
Requirement already satisfied: sentry-sdk>=1.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (2.9.0)
Requirement already satisfied: setproctitle in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (1.3.3)
Requirement already satisfied: setuptools in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from wandb==0.17.6->-r requirements.txt (line 14)) (68.2.2)
Requirement already satisfied: safetensors>=0.4.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from transformers==4.43.3->-r requirements.txt (line 15)) (0.4.3)
Requirement already satisfied: tokenizers<0.20,>=0.19 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from transformers==4.43.3->-r requirements.txt (line 15)) (0.19.1)
Requirement already satisfied: torch in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from bitsandbytes==0.43.3->-r requirements.txt (line 16)) (2.4.0)
Requirement already satisfied: notebook in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jupyter->-r requirements.txt (line 10)) (7.2.1)
Requirement already satisfied: qtconsole in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jupyter->-r requirements.txt (line 10)) (5.5.2)
Requirement already satisfied: jupyter-console in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jupyter->-r requirements.txt (line 10)) (6.6.3)
Requirement already satisfied: nbconvert in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jupyter->-r requirements.txt (line 10)) (7.16.4)
Requirement already satisfied: ipykernel in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from jupyter->-r requirements.txt (line 10)) (6.29.4)
Requirement already satisfied: comm>=0.1.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipywidgets->-r requirements.txt (line 11)) (0.2.2)
Requirement already satisfied: ipython>=6.1.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipywidgets->-r requirements.txt (line 11)) (8.25.0)
Requirement already satisfied: traitlets>=4.3.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipywidgets->-r requirements.txt (line 11)) (5.14.3)
Requirement already satisfied: widgetsnbextension~=4.0.11 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipywidgets->-r requirements.txt (line 11)) (4.0.11)
Requirement already satisfied: jupyterlab-widgets~=3.0.11 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipywidgets->-r requirements.txt (line 11)) (3.0.11)
Requirement already satisfied: pyarrow>=12.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (16.0.0)
Requirement already satisfied: pyarrow-hotfix in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (0.6)
Requirement already satisfied: aiohttp in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (3.9.5)
Requirement already satisfied: gitdb<5,>=4.0.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from gitpython!=3.1.29,>=1.0.0->wandb==0.17.6->-r requirements.txt (line 14)) (4.0.11)
Requirement already satisfied: decorator in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (5.1.1)
Requirement already satisfied: jedi>=0.16 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (0.19.1)
Requirement already satisfied: matplotlib-inline in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (0.1.7)
Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (3.0.47)
Requirement already satisfied: pygments>=2.4.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (2.17.2)
Requirement already satisfied: stack-data in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (0.6.3)
Requirement already satisfied: pexpect>4.3 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets->-r requirements.txt (line 11)) (4.9.0)
Requirement already satisfied: jsonpatch<2.0,>=1.33 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain-core<0.3,>=0.2.2->langchain_openai==0.1.13->-r requirements.txt (line 13)) (1.33)
Requirement already satisfied: langsmith<0.2.0,>=0.1.75 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain-core<0.3,>=0.2.2->langchain_openai==0.1.13->-r requirements.txt (line 13)) (0.1.85)
Requirement already satisfied: pydantic<3,>=1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain-core<0.3,>=0.2.2->langchain_openai==0.1.13->-r requirements.txt (line 13)) (2.7.1)
Requirement already satisfied: tenacity!=8.4.0,<9.0.0,>=8.1.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from langchain-core<0.3,>=0.2.2->langchain_openai==0.1.13->-r requirements.txt (line 13)) (8.3.0)
Requirement already satisfied: contourpy>=1.0.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (1.2.1)
Requirement already satisfied: cycler>=0.10 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (0.12.1)
Requirement already satisfied: fonttools>=4.22.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (4.51.0)
Requirement already satisfied: kiwisolver>=1.3.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (1.4.5)
Requirement already satisfied: pillow>=8 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (10.2.0)
Requirement already satisfied: pyparsing>=2.3.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (3.1.2)
Requirement already satisfied: python-dateutil>=2.7 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn==0.13.2->-r requirements.txt (line 8)) (2.9.0.post0)
Requirement already satisfied: anyio<5,>=3.5.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from openai<2.0.0,>=1.32.0->langchain_openai==0.1.13->-r requirements.txt (line 13)) (4.3.0)
Requirement already satisfied: distro<2,>=1.7.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from openai<2.0.0,>=1.32.0->langchain_openai==0.1.13->-r requirements.txt (line 13)) (1.9.0)
Requirement already satisfied: httpx<1,>=0.23.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from openai<2.0.0,>=1.32.0->langchain_openai==0.1.13->-r requirements.txt (line 13)) (0.27.0)
Requirement already satisfied: sniffio in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from openai<2.0.0,>=1.32.0->langchain_openai==0.1.13->-r requirements.txt (line 13)) (1.3.1)
Requirement already satisfied: pytz>=2020.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from pandas->evaluate==0.4.2->-r requirements.txt (line 5)) (2024.1)
Requirement already satisfied: tzdata>=2022.7 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from pandas->evaluate==0.4.2->-r requirements.txt (line 5)) (2024.1)
Requirement already satisfied: charset-normalizer<4,>=2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from requests->huggingface_hub==0.24.2->-r requirements.txt (line 1)) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from requests->huggingface_hub==0.24.2->-r requirements.txt (line 1)) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from requests->huggingface_hub==0.24.2->-r requirements.txt (line 1)) (2.1.0)
Requirement already satisfied: certifi>=2017.4.17 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from requests->huggingface_hub==0.24.2->-r requirements.txt (line 1)) (2024.2.2)
Requirement already satisfied: sympy in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (1.12)
Requirement already satisfied: networkx in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (3.1)
Requirement already satisfied: jinja2 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (3.1.3)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.105)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.105)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.105)
Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (9.1.0.70)
Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.3.1)
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (11.0.2.54)
Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (10.3.2.106)
Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (11.4.5.107)
Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.0.106)
Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (2.20.5)
Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.1.105)
Requirement already satisfied: triton==3.0.0 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (3.0.0)
Requirement already satisfied: nvidia-nvjitlink-cu12 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->bitsandbytes==0.43.3->-r requirements.txt (line 16)) (12.4.127)
Requirement already satisfied: debugpy>=1.6.5 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (1.8.1)
Requirement already satisfied: jupyter-client>=6.1.12 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (8.6.2)
Requirement already satisfied: jupyter-core!=5.0.*,>=4.12 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (5.7.2)
Requirement already satisfied: nest-asyncio in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (1.6.0)
Requirement already satisfied: pyzmq>=24 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (26.0.3)
Requirement already satisfied: tornado>=6.1 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (6.4.1)
Requirement already satisfied: beautifulsoup4 in /common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages (from nbconvert->jupyter->-r requirements.txt (line 10)) (4.12.3)
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Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating shenzhi-wang/Llama3.1-8B-Chinese-Chat
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data]     /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data]   Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env.example
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py
CUDA is available, we have found  1  GPU(s)
NVIDIA L40
CUDA version: 12.1
shenzhi-wang/Llama3.1-8B-Chinese-Chat None False datasets/mac/mac.tsv results/mac-results_few_shots.csv False 300 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: shenzhi-wang/Llama3.1-8B-Chinese-Chat with adapter: None

Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards:  25%|โ–ˆโ–ˆโ–Œ       | 1/4 [00:15<00:45, 15.28s/it]
Loading checkpoint shards:  50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 2/4 [00:33<00:34, 17.24s/it]
Loading checkpoint shards:  75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 3/4 [00:51<00:17, 17.60s/it]
Loading checkpoint shards: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4/4 [00:53<00:00, 11.27s/it]
Loading checkpoint shards: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4/4 [00:53<00:00, 13.37s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
15.084 GB of memory reserved.
Evaluating model: shenzhi-wang/Llama3.1-8B-Chinese-Chat on cuda
*** Evaluating with num_shots: 50
loading train/test data files

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 4528 examples [00:00, 119627.41 examples/s]

Generating test split: 0 examples [00:00, ? examples/s]
Generating test split: 1133 examples [00:00, 170266.80 examples/s]

Map:   0%|          | 0/4528 [00:00<?, ? examples/s]
Map:  22%|โ–ˆโ–ˆโ–       | 1000/4528 [00:00<00:00, 3680.15 examples/s]
Map:  66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 3000/4528 [00:00<00:00, 7549.17 examples/s]
Map: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4528/4528 [00:00<00:00, 9008.87 examples/s]
Map: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 4528/4528 [00:00<00:00, 7911.04 examples/s]

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DatasetDict({
    train: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 4528
    })
    test: Dataset({
        features: ['chinese', 'english', 'text', 'prompt'],
        num_rows: 1133
    })
})
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chinese: ่€่€ฟ็ซฏ่ตทๆžช๏ผŒ็œฏ็ผ่ตทไธ€ๅชไธ‰่ง’็œผ๏ผŒไธ€ๆ‚ๆ‰ณๆœบๅ“ไบ†ๆžช๏ผŒๅ†ฐ้›น่ˆฌ็š„้‡‘้บป้›€ๅŠˆๅ“ฉๅ•ชๅ•ฆๅพ€ไธ‹่ฝ๏ผŒ้“็ ‚ๅญๅœจๆŸณๆž้—ด้ฃž่ฟธ็€๏ผŒๅš“ๅš“ๆœ‰ๅฃฐใ€‚
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english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
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text: <|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>

You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Example Translations:
Chinese: ๅ…จไป—็€็‹ไป™ๆญๆ•‘ใ€‚
English: Because I was protected by a fox fairy.
Chinese: ่ฟ‡ๅŽ๏ผŒ่กจๅ“ฅๅ‘Š่ฏ‰ๅฅนไฟฉ๏ผŒ่ฟ™ไบบๆ˜ฏๅฏผๆผ”๏ผŒๅœจๅค–ๅ›ฝ็•™่ฟ‡ๅญฆ็š„๏ผŒ่ฟ˜ไผš็ผ–ๅ‰ง๏ผŒไปŠๅคฉๆ‹็š„่ฟ™ๆˆ๏ผŒๅฐฑๆ˜ฏไป–่‡ช็ผ–่‡ชๅฏผ็š„ใ€‚
English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.
Chinese: ่ฟ™ๅ‡คๅงๅฟฝ็„ถๆƒณ่ตทไธ€ไปถไบ‹ๆฅ๏ผŒไพฟๅ‘็ช—ๅค–ๅซ๏ผšโ€œ่“‰ๅ„ฟๅ›žๆฅ๏ผโ€
English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'
Chinese: ไธ‰ไธช่€็บขๅซๅ…ต่ตฐๅˆฐๅถๆ–‡ๆด้ขๅ‰๏ผŒ้ขๅฏน็€ๅฅน็ซ™ๆˆไบ†ไธ€ๆŽ’โ€”โ€”ๅฝ“ๅนด๏ผŒๅฅนไปฌไนŸๆ˜ฏ่ฟ™ๆ ท้ขๅฏนๅถๅ“ฒๆณฐ็š„โ€”โ€”่ฏ•ๅ›พๅ†็Žฐ้‚ฃๆ—ฉๅทฒๅฟ˜ๅด็š„ๅฐŠไธฅ๏ผŒไฝ†ๅฅนไปฌๅฝ“ๅนด้‚ฃ้ญ”้ฌผ่ˆฌ็š„็ฒพ็ฅžๅŠ›้‡ๆ˜พ็„ถๅทฒ่ก็„ถๆ— ๅญ˜ใ€‚
English: The three old Red Guards stood in front of Ye in a rowโ€”just like they had stood against Ye Zhetaiโ€”trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.
Chinese: ็จ‹ๅ…ˆ็”Ÿ็…งๅ•ๅ…จๆ”ถ๏ผŒ้ƒฝๆ˜ฏไธ€ไธชโ€œ่ฐขโ€ๅญ—๏ผŒ็„ถๅŽ้—ฎ็Ž‹็ฆ็‘ถๆœ‰ไป€ไนˆ่ฏ่ฏดใ€‚
English: Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.
Chinese: ็จ‹ๅ…ˆ็”Ÿๅ‘ๆฅ่ง‰ๅพ—ๅฅนๆฏไบฒๅŠฟๅˆฉ๏ผŒ่ฟ‡ๅŽปๅนถไธๆŠŠไป–ๆ”พๅœจ็œผ้‡Œ๏ผŒไป–ๅœจๆฅผไธ‹ๅซ็Ž‹็ฆ็‘ถ๏ผŒๅฅน่ฟž้—จ้ƒฝไธ่‚ฏๅผ€๏ผŒๅช่ฎฉ่€ๅฆˆๅญไผธๅ‡บๅคดๆฅๅ›ž่ฏใ€‚
English: Mr. Cheng had always thought her a calculating woman. Back when he used to call on Wang Qiyao, she would never even bother to greet him but always sent the maid down to talk to him at the door instead.
Chinese: ๆŒ‰ไป–็š„้€ป่พ‘๏ผŒๆˆ‘่บซไธŠ่ฟ™ไธช้€š็บข้€š็บข๏ผŒ็›ดไธๆ„ฃ็™ป๏ผŒ้•ฟ็บฆไธ€ๅฐบ็š„ไธœ่ฅฟๅฐฑๆ˜ฏ็ฝชๆถ็š„ๅŒ–่บซใ€‚
English: In his way of thinking, this red, stiff, foot-long thing on my body was the incarnation of evil.
Chinese: ไป–ๅฌๆฒ™็‘žๅฑฑ่ฎฒๅฅนๅฆ‚ไฝ•็›ฎ็น็ˆถไบฒๅœจโ€œๆ–‡้ฉโ€ไธญ็š„ๆƒจๆญป๏ผŒ่ฎฒๅฅนๅŽๆฅๅœจๅปบ่ฎพๅ…ตๅ›ข่ขซ่ฏฌ้™ท๏ผŒๅŽๆฅๆณๆ— ้Ÿณ่ฎฏ๏ผ› ไนๅๅนดไปฃๅˆๆ‰ๅˆๅ›žๅˆฐไบ†่ฟ™ๅบงๅŸŽๅธ‚๏ผŒๅœจ็ˆถไบฒๆ›พๅทฅไฝœ่ฟ‡็š„ๅคงๅญฆไธญ่ฎฒๆŽˆๅคฉไฝ“็‰ฉ็†ๅญฆ็›ดๅˆฐ้€€ไผ‘ใ€‚
English: He listened as Sha told of how she witnessed the death of her father during the Cultural Revolution, how she was falsely accused at the Production and Construction Corps, how she then seemed to disappear until her return to Beijing at the beginning of the nineties, when she began teaching astrophysics at Tsinghua, where her father had also taught, until her retirement.
Chinese: ไบ‹ๆƒ…ไธ€ๆ—ถไธŠๆœ‰ไบ›ๅผ„ๅไบ†๏ผŒๅŽป็‰‡ๅŽ‚ๅ€’ๆ˜ฏไธบไบ†็…ง้กพๅดไฝฉ็ไผผ็š„ใ€‚
English: Before long, it was more like Wang Qiyao was doing her a favor by going with her.
Chinese: โ€œ่ฟ™็ญ‰ไบŽ่ฏดๆญฃ็กฎ็š„ๅ“ฒๅญฆๆ˜ฏไปŽๅคฉไธŠๆŽ‰ไธ‹ๆฅ็š„ใ€‚
English: 'Then that's equivalent to saying that the correct philosophy falls out of the sky.
Chinese: ็ˆท็ˆทๆŠŠไธ‰็ง็‰ฉ่ดจๆ‹ŒๅŒ€๏ผŒ่ฟžๅŒ้‚ฃๅผ ้ป„่กจ็บธ๏ผŒๆ‹ๅœจไผคๅฃไธŠ๏ผŒ็ˆถไบฒๅธฎ็€็ˆท็ˆทๆŠŠ้‚ฃๆ น่‚ฎ่„ไธๅ ช็š„็ปทๅธฆๆ‰Žๅฅฝใ€‚
English: After Granddad mixed the three substances together and covered the wound with them, paper and all, Father wrapped a filthy strip of bandage cloth around it and tied it tight.
Chinese: ่—ๅœจๅฎซ้‡Œ๏ผŒๅฝ“็„ถๆ˜ฏๆ™ฎๅคฉไธ‹ๆœ€็จณๅฆฅ็š„ๆ‰€ๅœจใ€‚
English: Mind you, look anywhere you like, you'll never find a safer place than this.
Chinese: ๆžœ็„ถๆฅ็š„ๅˆๆ˜ฏๅ››ๅไฝฟ่€…๏ผŒไธบ้ฆ–ไธ€ไบบไธ‹้ฉฌๆŠฑๆ‹ณ๏ผŒ่ฏด้“๏ผšโ€œๆ€ป่ˆตไธป็›ธ่ฏท่Œ…ๅๅ…ซ่Œ…็ˆทใ€้Ÿฆๅฐๅฎ้Ÿฆ็ˆทไธคไฝ๏ผŒๅŠณ้ฉพๅ‰ๅŽป็›ธไผšใ€‚โ€
English: There were four messengers this time. Their leader, having dismounted from his horse, clasped his hands together respectfully: 'The Helmsman requests Mr Mao and Mr Wei to favour him with their company.'
Chinese: ๅช่งๅฒๆน˜ไบ‘ๅคง่ฏดๅคง็ฌ‘็š„๏ผŒ่งไบ†ไป–ไธคไธช๏ผŒๅฟ™็ซ™่ตทๆฅ้—ฎๅฅฝใ€‚
English: Shi Xiang-yun was already there, laughing and chattering away nineteen to the dozen, but rose to greet them as they entered.
Chinese: ไธคไบบ่™ฝ็„ถๆฒกไบ’็›ธๅฎๅ˜ฑ๏ผŒๅดไธ็บฆ่€ŒๅŒๅœฐ็ผ„ๅฃไธๆใ€‚
English: It was implicitly understood between them that they should never broach the subject.
Chinese: ๅฒๅผบๆ‹ฟ่ตทไธ€ๆ”ฏ็ฌ”๏ผŒๅœจๆกŒ้ขไธŠ็”ปไบ†ไธคๆกๅผฏๆ›ฒ็š„ๅนณ่กŒ็บฟ๏ผŒโ€œ่ฟ™ๆ˜ฏ่ฟๆฒณ๏ผŒโ€
English: Da Shi picked up a pen and drew two parallel curves on the table. 'That's the canal.'
Chinese: ่ดพ็Žฏ้“๏ผšโ€œๆˆ‘ๆ‹ฟไป€ไนˆๆฏ”ๅฎ็Ž‰? ไฝ ไปฌๆ€•ไป–๏ผŒ้ƒฝๅ’Œไป–ๅฅฝ๏ผŒ้ƒฝๆฌบ่ดŸๆˆ‘ไธๆ˜ฏๅคชๅคชๅ…ป็š„๏ผโ€ ่ฏด็€ไพฟๅ“ญใ€‚
English: 'How can I hope to compete with Bao-yu?' said Jia Huan, beginning to blubber.
Chinese: ๆˆ‘ไธบๆญคๆ‰€ๆƒŠ๏ผŒไผไธ‹่บซไธๅŠจใ€‚
English: I was scared and stopped, leaning over her body.
Chinese: ๆตท่€ๅ…ฌไธ€ๆƒŠ๏ผŒ้“๏ผšโ€œ็š‡ไธŠๆ—ฉ็Ÿฅ้“ไบ†๏ผŸโ€
English: The old eunuch was clearly startled by this. 'The Emperor knew this?'
Chinese: ๅช่ฏด่ฟ™ๅฅๅฐฑๅ†ไธ่ƒฝ่ฏด่ฏไบ†ใ€‚
English: Those were the last words he ever uttered.
Chinese: ๅ†ๅ›žๅˆฐๅŒป้™ข๏ผŒไบบๅทฒ็ป่ฟ›ไบ†ไบงๆˆฟ๏ผŒๆ™šไธŠๅ…ซ็‚นไพฟ็”Ÿไธ‹ไบ†๏ผŒๆ˜ฏไธชๅฅณๅญฉ๏ผŒ่ฏดๆ˜ฏไธ€ๅ‡บๅจ˜่ƒŽๅฐฑๆปกๅคด้ป‘ๅ‘๏ผŒๆ‰‹่„šๅพˆ้•ฟใ€‚
English: By the time he got back, Wang Qiyao had already been taken into the delivery room. It was a baby girl. She was born at eight o'clock. They told Mr. Cheng that she had long arms and legs and a full head of black hair.
Chinese: ็ญ‰ๅฅนๅ›žๆฅ๏ผŒไป–ไพฟๅฏนๅฅน่ฏด๏ผŒ่ฆไธ่ฆๆ›ฟๅฅนๅŽปๅ€’ๆฏ้ฅฎๆ–™๏ผŸ
English: When she came back, he asked her if he could get her a drink.
Chinese: ๆˆ‘่ฟ™ไธคๅฅ—ๅŠŸๅคซ๏ผŒไฝ ่ฟ™ไธ€็”Ÿไธ€ไธ–ไนŸๆฅไธๅŠๅญฆๅพ—ๅ…จไบ†ใ€‚โ€
English: In any case, you couldn't master my two kinds of kungfu if you spent a whole lifetime studying them.'
Chinese: ้ฆ™่‰ฒๅ‘ข็คผๅธฝ็†Ÿ็ปƒๅœฐๆงไบ†ไป–ไธ€ไธช่€ณๅ…‰๏ผŒๅซ้“๏ผšโ€œ่ฏด๏ผ
English: Chestnut Wool Cap slapped him across the mouth and shouted: 'Tell me!
Chinese: ้Ÿฆๅฐๅฎๆฒ‰ๅŸ้“๏ผšโ€œไฝ ่ฏดๆ€ŽไนˆๅŠž๏ผŸโ€
English: 'What do you think we ought to do?' Trinket asked presently, as if he had been mulling the matter over in his mind.
Chinese: ็Ž‹็ฆ็‘ถๅฐฑ่ฏด๏ผšไฝ ่ฟ˜ๆ˜ฏๆฒกๆ˜Ž็™ฝๆˆ‘็š„ๆ„ๆ€ใ€‚
English: 'I don't think so. . . .'
Chinese: ๅฅน้ป˜้ป˜ๅœฐ็ซ™ไบ†ไธ€ไผšๅ„ฟ๏ผŒ่ฝฌ่บซ่ตฐๅŽป๏ผŒๆ‚ฒไผคๅทฒๆ„Ÿ่ง‰ไธๅˆฐไบ†๏ผŒๅฅน็Žฐๅœจๅฐฑๅƒไธ€ๅฐ็›–้ฉ่ฎกๆ•ฐไปช๏ผŒๅฝ“็ฝฎ่บซไบŽ่ถ…้‡็š„่พๅฐ„ไธญๆ—ถ๏ผŒๅ่€Œไธๅ†ๆœ‰ไปปไฝ•ๅๅบ”๏ผŒๆฒกๆœ‰ๅฃฐๅ“๏ผŒ่ฏปๆ•ฐไธบ้›ถใ€‚
English: She stood there for a while, silent. Then she turned and walked away. She could no longer feel grief. She was now like a Geiger counter that had been subjected to too much radiation, no longer capable of giving any reaction, noiselessly displaying a reading of zero.
Chinese: ็ˆถไบฒๅœจๅขจๆฐดๆฒณ้‡Œ็Žฉ่ฟ‡ๆฐด๏ผŒไป–็š„ๆฐดๆ€งๅฅฝๅƒๆ˜ฏๅคฉ็”Ÿ็š„๏ผŒๅฅถๅฅถ่ฏดไป–่งไบ†ๆฐดๆฏ”่งไบ†ไบฒๅจ˜่ฟ˜ๆ€ฅใ€‚
English: Father had gone swimming so often in the Black Water River that he seemed born to it. Grandma said that the sight of the river excited him more than the sight of his own mother.
Chinese: ็ˆถไบฒไปŽ้ซ˜็ฒฑๆ นไธ‹ๆŒ–่ตทไธ€ๅ—้ป‘ๅœŸ๏ผŒ็”จๆ‰‹ๆ“ๅพ—็ฒพ็ป†๏ผŒๆ’’ๅœจ้ป„่กจ็บธไธŠใ€‚
English: Father bent down and picked up a clod of dark earth near the roots of a sorghum stalk, crumbled it in his fingers, and spread it on the paper.
Chinese: ่‡ชไปŽๅˆ†ๆ‰‹ๅŽ๏ผŒ่ฟ™ๆ˜ฏ็ฌฌไธ€ๆฌก่ง๏ผŒไธญ้—ด็›ธ้š”ๆœ‰ๅไธ‡ๅ…ซๅƒๅนดไผผ็š„ใ€‚
English: This was the first time they had been together since their parting. It felt like thousands of years since they had last seen each other.
Chinese: ๅฅฝๅฅฝๅ„ฟ็š„๏ผŒๅฎถๅŽปๅšไป€ไนˆ๏ผŸโ€
English: 'I'm perfectly all right. What should I want to go home for?'
Chinese: ็ป็ณๅคงๅซ่ตทๆฅ๏ผŒๅˆๆŽฅ็€ๆป”ๆป”ไธ็ปๅœฐ่ฎฒ่ตทไบ†ๅฎ‡ๅฎ™ๅคง็ˆ†็‚ธ๏ผŒ่‡ช็„ถไธๅฟ˜ๆทฑๅˆปๅœฐๅ‰–ๆžๅ…ถๅๅŠจๆœฌ่ดจใ€‚
English: Shao Lin shouted. Then she began a long lecture about the big bang theory, remembering to splice in insightful critiques of the theory's extremely reactionary nature.
Chinese: ้กพ็‚Žๆญฆ้“๏ผšโ€œ็—›ๅฟซๆท‹ๆผ“๏ผŒ็œŸๆ˜ฏ็ปๅฆ™ๅฅฝ่พžใ€‚โ€
English: 'It says all there is to say, ' said Gu Yanwu. 'Masterly!'
Chinese: ๅฎƒ่™ฝๆ˜ฏๆฃไนฑไนŸๆ˜ฏ่ฎค็œŸๆณๅˆ‡๏ผŒ่€Œไธๆ˜ฏ็Žฉไธ–ไธๆญ๏ผŒๅฐฑ็ฎ—ๆ˜ฏ่ฐฃ่จ€ไนŸๆ˜ฏๆ‚‰ๅฟƒ็ผ–้€ ใ€‚
English: Though always making trouble, they are nevertheless earnest and sincere. Gossip is never cynical; even if the thing in question is nothing but empty rumors, the utmost care is still put into their creation.
Chinese: ๆœ‰ไธ€็‚นๅฏไปฅ่‚ฏๅฎš๏ผŒไธ็ฎกๅนฝ็ตๅ€’่ฎกๆ—ถ็š„ๅฐฝๅคดๆ˜ฏไป€ไนˆ๏ผŒๅœจ่ฟ™ๅ‰ฉไธ‹็š„ๅƒไฝ™ไธชๅฐๆ—ถไธญ๏ผŒๅฏนๅฐฝๅคด็š„็Œœๆต‹ๅฐ†ๅƒๆถ้ญ”้‚ฃๆ ทๆฎ‹้…ทๅœฐๆŠ˜็ฃจไป–๏ผŒๆœ€ๅŽๅœจ็ฒพ็ฅžไธŠๅฝปๅบ•ๆ‘งๆฏไป–ใ€‚
English: One thing was certain. No matter what was at the end of the countdown, in the remaining one thousand or so hours, the possibilities would torture him cruelly, like demons, until he suffered a complete mental breakdown.
Chinese: ๆˆ‘่™ฝ็ณŠๆถ‚๏ผŒๅดๆ˜Ž็™ฝ่ฟ™ไธคๅฅ่ฏใ€‚
English: Even a simpleton like me knows that much!
Chinese: ็Ž‹็ฆ็‘ถ่ฟ˜ๆฒกๅˆฐ่ฟ™ไธ€ๆญฅ๏ผŒๅฅน็š„ๆƒณๅคด่ฟ˜ๆœ‰ไบ›ๆžๅถ่Šฑๆœต๏ผŒๅœจๅนณๅฎ‰้‡Œ้ปฏๆทก็š„ๅคœ้‡Œ๏ผŒ้—ชๅ‡บไบ›ๅ…‰ไบฎๆฅใ€‚
English: Wang Qiyao had not reached this stage. Her thoughts still had stems, leaves, and flowers, which glimmered in the dark night of Peace Lane.
Chinese: ๅŽŸๆฅ่ดพ็‘ž็ˆถๆฏๆ—ฉไบก๏ผŒๅชๆœ‰ไป–็ฅ–็ˆถไปฃๅ„’ๆ•™ๅ…ปใ€‚
English: Jia Rui had lost both of his parents in infancy and had been brought up under the sole guardianship of his grandfather Jia Dai-ru.
Chinese: ๅœจๆˆ‘่ฟ›ๅฑฑไน‹ๅ‰๏ผŒๆ€ปๅ…ฑๅฐฑ่งๅˆฐไบ†ไธคไธชไบบ๏ผŒไธ€ไธชๆ˜ฏ้™ˆๆธ…ๆ‰ฌ๏ผŒๅฅนๆฒกๆœ‰ๅ‘Š่ฏ‰ๆˆ‘่ฟ™ไปถไบ‹ใ€‚ ๅฆไธ€ไธชๆ˜ฏๆˆ‘ไปฌ้˜Ÿ้•ฟ๏ผŒไป–ไนŸๆฒก่ฏด่ตท่ฟ™ไปถไบ‹๏ผŒๅชๅซๆˆ‘ๅŽปๆธฉๆณ‰ๅ…ป็—…ใ€‚
English: I saw only two people before my trip, one of whom was Chen Qingyang, who hadn't mentioned it; the other one was our team leader, who also hadn't said anything other than telling me to take a good rest at the thermal springs.
Chinese: ้‚ฃไธช้ฃžๅ‡บ็š„ๆž„ไปถๆ—‹ๅณ่ฝไบบๆฐดไธญ๏ผŒๆฟ€่ตทไบ†้ซ˜้ซ˜็š„ๆฐดๆŸฑ๏ผŒๅœจๅฎƒไธ€้—ช่€Œ่ฟ‡ไน‹้™…๏ผŒๆฑชๆทผ็œ‹ๅ‡บ้‚ฃๆ˜ฏ่ˆนไธŠๅ‘ๅŠจๆœบ็š„ไธ€ๆฎตๆ›ฒ่ฝดใ€‚
English: A broken component flew out of the hole and fell into the water, causing a large column of water to shoot up. As it briefly flew past, Wang recognized it as a section of the engine crankshaft.
Chinese: ๅˆฐไบ†่ฃๅบœๅคง้—จๅ‰็Ÿณ็‹ฎๅญๆ—่พน๏ผŒๅช่งๆปก้—จๅฃ็š„่ฝฟ้ฉฌใ€‚
English: There, at each side of the stone lions which flanked the gates of the Rong Mansion, she saw a cluster of horses and palanquins.
Chinese: ๅฎก้—ฎ่€…๏ผšไฝ ่ฎคไธบ่ฟ™ไธช็ป“่ฎบ๏ผŒๆœฌ่บซ็ง‘ๅญฆๅ—๏ผŸ
English: INTERROGATOR: Do you think this conclusion you drew is scientific?
Chinese: ไป–ๆŠŠๅดไฝฉ็ๅฝ“ๅฐๅญฉๅญ็œ‹๏ผŒๅ–œๆฌข้€—ๅฅน๏ผŒๅผ€ไบ›็Žฉ็ฌ‘๏ผ›ๅฏน็Ž‹็ฆ็‘ถๅˆ™่ฏดๆœ‰ๆœบไผš่ฆ่ฎฉๅฅนไธŠไธ€ๅ›ž้•œๅคด๏ผŒๅ› ๅฅน็š„็œ‰็œผๆœ‰ไบ›ๅƒ้˜ฎ็Žฒ็Ž‰๏ผŒ่ถ็€ไบบไปฌๅฏน้˜ฎ็Žฒ็Ž‰็š„ๆ€€ๅฟต๏ผŒ่ฏดไธๅฎš่ƒฝๆงๅ‡บไธ€้ข—ๆ˜Žๆ˜Ÿใ€‚
English: He treated Wu Peizhen as if she were a child; he loved to tease her and play little jokes on her. He promised to put Wang Qiyao in a scene in one of his movies as soon as the opportunity arose. Who knows? Because her coquettish eyes resembled Ruan Lingyu's, they might even be able to capitalize on the audience's nostalgia for the dead movie star and make Wang Qiyao into a new diva of the screen.
Chinese: ่ดพ็‘žไนŸๆป็€ไธ€ๆŠŠๆฑ—๏ผŒๅฐ‘ไธๅพ—ๅ›žๆฅๆ’’่ฐŽ๏ผŒๅช่ฏด๏ผšโ€œๅพ€่ˆ…่ˆ…ๅฎถๅŽปไบ†๏ผŒๅคฉ้ป‘ไบ†๏ผŒ็•™ๆˆ‘ไฝไบ†ไธ€ๅคœใ€‚โ€
English: The prospect of facing his grandfather on arrival made Jia Rui sweat. A lie of some sort was indispensable. 'I went to see Uncle yesterday,' he managed to say, 'and as it was getting dark, he asked me to stay the night.'
Chinese: ๆˆ‘็š„ๅŽ่…ฐไธŠๅฅฝๅƒ่ขซ็Œชๅ…ซๆˆ’็ญ‘ไบ†ไธค่€™ใ€‚
English: My lower back looked like it had been struck by Pigsy's rake.
Chinese: ่ดพ็‘ž่ง่ฏท๏ผŒๅฟƒไธญๆš—ๅ–œใ€‚
English: Hearing that he was to be received, Jia Rui rejoiced inwardly.
Chinese: ๆˆ‘ๅŽปๅ‘Š่ฏ‰ๆˆ‘ๅฎถ็ˆน๏ผŒๆ‹ฟ้“œ็‚ฎๆžชๆ‰“ไฝ ไปฌ๏ผโ€
English: I'm going to tell my father. He'll shoot the two of you with his bronze-barreled shotgun!'
Chinese: ๆˆ‘ไปฌๆœ‰ๅ„็ง้€‰ๆ‹ฉ๏ผŒๅฏไปฅๅˆฐๅ„ๆ–นๅ‘ๅŽปใ€‚
English: We could have made any choice and set off in any direction.
Chinese: ็ˆถไบฒ็š„ๅ‹ƒๆœ—ๅฎๆ‰‹ๆžชๅŽ‹ๅœจๆ—ฅๆœฌๆด‹้ฉฌ่‚šๅญไธ‹่พนไบ†ใ€‚ ๅœจไธ‹ๅˆๆœ€ๅŽ็š„ๆๆ–—ไธญ๏ผŒ็ˆถไบฒๆ‹–็€ไธ€ๆ†ๆฏ”ไป–็Ÿฎไธไบ†ๅคšๅฐ‘็š„ๆ—ฅๆœฌ้ฉฌๆžช๏ผŒ็ˆท็ˆท่ฟ˜็”จ็€้‚ฃๆ”ฏๅพทๅ›ฝ้€ โ€œ่‡ชๆฅๅพ—โ€ๆ‰‹ๆžชใ€‚ ่ฟž็ปญไธๆ–ญๅœฐๅฐ„ๅ‡ป๏ผŒไฝฟๆœฌๆฅๅฐฑ่ฟ‡ไบ†้’ๆ˜ฅๅนดๅŽ็š„่ฟ™ๆ”ฏโ€œ่‡ชๆฅๅพ—โ€่ฟ…้€Ÿๅฅ”ๅ‘ๅบŸ้“ๅ †ใ€‚
English: Since Father's Browning pistol lay under the belly of the fallen horse, during the final battle of the afternoon he used a Japanese rifle nearly as tall as he was; Granddad used his German automatic, firing it so rapidly it spent its youth and was ready for the trash heap.
Chinese: ้’ฑ่€ๆฟ้“๏ผšโ€œๅคš่ฐข้Ÿฆ้ฆ™ไธปๅคธๅฅ–ใ€‚โ€
English: 'Oh, I don't know about that,' said Butcher Qian coyly. 'Anyway, thank you, Master.'

Chinese: ่€่€ฟ็ซฏ่ตทๆžช๏ผŒ็œฏ็ผ่ตทไธ€ๅชไธ‰่ง’็œผ๏ผŒไธ€ๆ‚ๆ‰ณๆœบๅ“ไบ†ๆžช๏ผŒๅ†ฐ้›น่ˆฌ็š„้‡‘้บป้›€ๅŠˆๅ“ฉๅ•ชๅ•ฆๅพ€ไธ‹่ฝ๏ผŒ้“็ ‚ๅญๅœจๆŸณๆž้—ด้ฃž่ฟธ็€๏ผŒๅš“ๅš“ๆœ‰ๅฃฐใ€‚
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.<|eot_id|>
--------------------------------------------------
prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>

You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.

Example Translations:
Chinese: ๅ…จไป—็€็‹ไป™ๆญๆ•‘ใ€‚
English: Because I was protected by a fox fairy.
Chinese: ่ฟ‡ๅŽ๏ผŒ่กจๅ“ฅๅ‘Š่ฏ‰ๅฅนไฟฉ๏ผŒ่ฟ™ไบบๆ˜ฏๅฏผๆผ”๏ผŒๅœจๅค–ๅ›ฝ็•™่ฟ‡ๅญฆ็š„๏ผŒ่ฟ˜ไผš็ผ–ๅ‰ง๏ผŒไปŠๅคฉๆ‹็š„่ฟ™ๆˆ๏ผŒๅฐฑๆ˜ฏไป–่‡ช็ผ–่‡ชๅฏผ็š„ใ€‚
English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.
Chinese: ่ฟ™ๅ‡คๅงๅฟฝ็„ถๆƒณ่ตทไธ€ไปถไบ‹ๆฅ๏ผŒไพฟๅ‘็ช—ๅค–ๅซ๏ผšโ€œ่“‰ๅ„ฟๅ›žๆฅ๏ผโ€
English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'
Chinese: ไธ‰ไธช่€็บขๅซๅ…ต่ตฐๅˆฐๅถๆ–‡ๆด้ขๅ‰๏ผŒ้ขๅฏน็€ๅฅน็ซ™ๆˆไบ†ไธ€ๆŽ’โ€”โ€”ๅฝ“ๅนด๏ผŒๅฅนไปฌไนŸๆ˜ฏ่ฟ™ๆ ท้ขๅฏนๅถๅ“ฒๆณฐ็š„โ€”โ€”่ฏ•ๅ›พๅ†็Žฐ้‚ฃๆ—ฉๅทฒๅฟ˜ๅด็š„ๅฐŠไธฅ๏ผŒไฝ†ๅฅนไปฌๅฝ“ๅนด้‚ฃ้ญ”้ฌผ่ˆฌ็š„็ฒพ็ฅžๅŠ›้‡ๆ˜พ็„ถๅทฒ่ก็„ถๆ— ๅญ˜ใ€‚
English: The three old Red Guards stood in front of Ye in a rowโ€”just like they had stood against Ye Zhetaiโ€”trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.
Chinese: ็จ‹ๅ…ˆ็”Ÿ็…งๅ•ๅ…จๆ”ถ๏ผŒ้ƒฝๆ˜ฏไธ€ไธชโ€œ่ฐขโ€ๅญ—๏ผŒ็„ถๅŽ้—ฎ็Ž‹็ฆ็‘ถๆœ‰ไป€ไนˆ่ฏ่ฏดใ€‚
English: Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.
Chinese: ็จ‹ๅ…ˆ็”Ÿๅ‘ๆฅ่ง‰ๅพ—ๅฅนๆฏไบฒๅŠฟๅˆฉ๏ผŒ่ฟ‡ๅŽปๅนถไธๆŠŠไป–ๆ”พๅœจ็œผ้‡Œ๏ผŒไป–ๅœจๆฅผไธ‹ๅซ็Ž‹็ฆ็‘ถ๏ผŒๅฅน่ฟž้—จ้ƒฝไธ่‚ฏๅผ€๏ผŒๅช่ฎฉ่€ๅฆˆๅญไผธๅ‡บๅคดๆฅๅ›ž่ฏใ€‚
English: Mr. Cheng had always thought her a calculating woman. Back when he used to call on Wang Qiyao, she would never even bother to greet him but always sent the maid down to talk to him at the door instead.
Chinese: ๆŒ‰ไป–็š„้€ป่พ‘๏ผŒๆˆ‘่บซไธŠ่ฟ™ไธช้€š็บข้€š็บข๏ผŒ็›ดไธๆ„ฃ็™ป๏ผŒ้•ฟ็บฆไธ€ๅฐบ็š„ไธœ่ฅฟๅฐฑๆ˜ฏ็ฝชๆถ็š„ๅŒ–่บซใ€‚
English: In his way of thinking, this red, stiff, foot-long thing on my body was the incarnation of evil.
Chinese: ไป–ๅฌๆฒ™็‘žๅฑฑ่ฎฒๅฅนๅฆ‚ไฝ•็›ฎ็น็ˆถไบฒๅœจโ€œๆ–‡้ฉโ€ไธญ็š„ๆƒจๆญป๏ผŒ่ฎฒๅฅนๅŽๆฅๅœจๅปบ่ฎพๅ…ตๅ›ข่ขซ่ฏฌ้™ท๏ผŒๅŽๆฅๆณๆ— ้Ÿณ่ฎฏ๏ผ› ไนๅๅนดไปฃๅˆๆ‰ๅˆๅ›žๅˆฐไบ†่ฟ™ๅบงๅŸŽๅธ‚๏ผŒๅœจ็ˆถไบฒๆ›พๅทฅไฝœ่ฟ‡็š„ๅคงๅญฆไธญ่ฎฒๆŽˆๅคฉไฝ“็‰ฉ็†ๅญฆ็›ดๅˆฐ้€€ไผ‘ใ€‚
English: He listened as Sha told of how she witnessed the death of her father during the Cultural Revolution, how she was falsely accused at the Production and Construction Corps, how she then seemed to disappear until her return to Beijing at the beginning of the nineties, when she began teaching astrophysics at Tsinghua, where her father had also taught, until her retirement.
Chinese: ไบ‹ๆƒ…ไธ€ๆ—ถไธŠๆœ‰ไบ›ๅผ„ๅไบ†๏ผŒๅŽป็‰‡ๅŽ‚ๅ€’ๆ˜ฏไธบไบ†็…ง้กพๅดไฝฉ็ไผผ็š„ใ€‚
English: Before long, it was more like Wang Qiyao was doing her a favor by going with her.
Chinese: โ€œ่ฟ™็ญ‰ไบŽ่ฏดๆญฃ็กฎ็š„ๅ“ฒๅญฆๆ˜ฏไปŽๅคฉไธŠๆŽ‰ไธ‹ๆฅ็š„ใ€‚
English: 'Then that's equivalent to saying that the correct philosophy falls out of the sky.
Chinese: ็ˆท็ˆทๆŠŠไธ‰็ง็‰ฉ่ดจๆ‹ŒๅŒ€๏ผŒ่ฟžๅŒ้‚ฃๅผ ้ป„่กจ็บธ๏ผŒๆ‹ๅœจไผคๅฃไธŠ๏ผŒ็ˆถไบฒๅธฎ็€็ˆท็ˆทๆŠŠ้‚ฃๆ น่‚ฎ่„ไธๅ ช็š„็ปทๅธฆๆ‰Žๅฅฝใ€‚
English: After Granddad mixed the three substances together and covered the wound with them, paper and all, Father wrapped a filthy strip of bandage cloth around it and tied it tight.
Chinese: ่—ๅœจๅฎซ้‡Œ๏ผŒๅฝ“็„ถๆ˜ฏๆ™ฎๅคฉไธ‹ๆœ€็จณๅฆฅ็š„ๆ‰€ๅœจใ€‚
English: Mind you, look anywhere you like, you'll never find a safer place than this.
Chinese: ๆžœ็„ถๆฅ็š„ๅˆๆ˜ฏๅ››ๅไฝฟ่€…๏ผŒไธบ้ฆ–ไธ€ไบบไธ‹้ฉฌๆŠฑๆ‹ณ๏ผŒ่ฏด้“๏ผšโ€œๆ€ป่ˆตไธป็›ธ่ฏท่Œ…ๅๅ…ซ่Œ…็ˆทใ€้Ÿฆๅฐๅฎ้Ÿฆ็ˆทไธคไฝ๏ผŒๅŠณ้ฉพๅ‰ๅŽป็›ธไผšใ€‚โ€
English: There were four messengers this time. Their leader, having dismounted from his horse, clasped his hands together respectfully: 'The Helmsman requests Mr Mao and Mr Wei to favour him with their company.'
Chinese: ๅช่งๅฒๆน˜ไบ‘ๅคง่ฏดๅคง็ฌ‘็š„๏ผŒ่งไบ†ไป–ไธคไธช๏ผŒๅฟ™็ซ™่ตทๆฅ้—ฎๅฅฝใ€‚
English: Shi Xiang-yun was already there, laughing and chattering away nineteen to the dozen, but rose to greet them as they entered.
Chinese: ไธคไบบ่™ฝ็„ถๆฒกไบ’็›ธๅฎๅ˜ฑ๏ผŒๅดไธ็บฆ่€ŒๅŒๅœฐ็ผ„ๅฃไธๆใ€‚
English: It was implicitly understood between them that they should never broach the subject.
Chinese: ๅฒๅผบๆ‹ฟ่ตทไธ€ๆ”ฏ็ฌ”๏ผŒๅœจๆกŒ้ขไธŠ็”ปไบ†ไธคๆกๅผฏๆ›ฒ็š„ๅนณ่กŒ็บฟ๏ผŒโ€œ่ฟ™ๆ˜ฏ่ฟๆฒณ๏ผŒโ€
English: Da Shi picked up a pen and drew two parallel curves on the table. 'That's the canal.'
Chinese: ่ดพ็Žฏ้“๏ผšโ€œๆˆ‘ๆ‹ฟไป€ไนˆๆฏ”ๅฎ็Ž‰? ไฝ ไปฌๆ€•ไป–๏ผŒ้ƒฝๅ’Œไป–ๅฅฝ๏ผŒ้ƒฝๆฌบ่ดŸๆˆ‘ไธๆ˜ฏๅคชๅคชๅ…ป็š„๏ผโ€ ่ฏด็€ไพฟๅ“ญใ€‚
English: 'How can I hope to compete with Bao-yu?' said Jia Huan, beginning to blubber.
Chinese: ๆˆ‘ไธบๆญคๆ‰€ๆƒŠ๏ผŒไผไธ‹่บซไธๅŠจใ€‚
English: I was scared and stopped, leaning over her body.
Chinese: ๆตท่€ๅ…ฌไธ€ๆƒŠ๏ผŒ้“๏ผšโ€œ็š‡ไธŠๆ—ฉ็Ÿฅ้“ไบ†๏ผŸโ€
English: The old eunuch was clearly startled by this. 'The Emperor knew this?'
Chinese: ๅช่ฏด่ฟ™ๅฅๅฐฑๅ†ไธ่ƒฝ่ฏด่ฏไบ†ใ€‚
English: Those were the last words he ever uttered.
Chinese: ๅ†ๅ›žๅˆฐๅŒป้™ข๏ผŒไบบๅทฒ็ป่ฟ›ไบ†ไบงๆˆฟ๏ผŒๆ™šไธŠๅ…ซ็‚นไพฟ็”Ÿไธ‹ไบ†๏ผŒๆ˜ฏไธชๅฅณๅญฉ๏ผŒ่ฏดๆ˜ฏไธ€ๅ‡บๅจ˜่ƒŽๅฐฑๆปกๅคด้ป‘ๅ‘๏ผŒๆ‰‹่„šๅพˆ้•ฟใ€‚
English: By the time he got back, Wang Qiyao had already been taken into the delivery room. It was a baby girl. She was born at eight o'clock. They told Mr. Cheng that she had long arms and legs and a full head of black hair.
Chinese: ็ญ‰ๅฅนๅ›žๆฅ๏ผŒไป–ไพฟๅฏนๅฅน่ฏด๏ผŒ่ฆไธ่ฆๆ›ฟๅฅนๅŽปๅ€’ๆฏ้ฅฎๆ–™๏ผŸ
English: When she came back, he asked her if he could get her a drink.
Chinese: ๆˆ‘่ฟ™ไธคๅฅ—ๅŠŸๅคซ๏ผŒไฝ ่ฟ™ไธ€็”Ÿไธ€ไธ–ไนŸๆฅไธๅŠๅญฆๅพ—ๅ…จไบ†ใ€‚โ€
English: In any case, you couldn't master my two kinds of kungfu if you spent a whole lifetime studying them.'
Chinese: ้ฆ™่‰ฒๅ‘ข็คผๅธฝ็†Ÿ็ปƒๅœฐๆงไบ†ไป–ไธ€ไธช่€ณๅ…‰๏ผŒๅซ้“๏ผšโ€œ่ฏด๏ผ
English: Chestnut Wool Cap slapped him across the mouth and shouted: 'Tell me!
Chinese: ้Ÿฆๅฐๅฎๆฒ‰ๅŸ้“๏ผšโ€œไฝ ่ฏดๆ€ŽไนˆๅŠž๏ผŸโ€
English: 'What do you think we ought to do?' Trinket asked presently, as if he had been mulling the matter over in his mind.
Chinese: ็Ž‹็ฆ็‘ถๅฐฑ่ฏด๏ผšไฝ ่ฟ˜ๆ˜ฏๆฒกๆ˜Ž็™ฝๆˆ‘็š„ๆ„ๆ€ใ€‚
English: 'I don't think so. . . .'
Chinese: ๅฅน้ป˜้ป˜ๅœฐ็ซ™ไบ†ไธ€ไผšๅ„ฟ๏ผŒ่ฝฌ่บซ่ตฐๅŽป๏ผŒๆ‚ฒไผคๅทฒๆ„Ÿ่ง‰ไธๅˆฐไบ†๏ผŒๅฅน็Žฐๅœจๅฐฑๅƒไธ€ๅฐ็›–้ฉ่ฎกๆ•ฐไปช๏ผŒๅฝ“็ฝฎ่บซไบŽ่ถ…้‡็š„่พๅฐ„ไธญๆ—ถ๏ผŒๅ่€Œไธๅ†ๆœ‰ไปปไฝ•ๅๅบ”๏ผŒๆฒกๆœ‰ๅฃฐๅ“๏ผŒ่ฏปๆ•ฐไธบ้›ถใ€‚
English: She stood there for a while, silent. Then she turned and walked away. She could no longer feel grief. She was now like a Geiger counter that had been subjected to too much radiation, no longer capable of giving any reaction, noiselessly displaying a reading of zero.
Chinese: ็ˆถไบฒๅœจๅขจๆฐดๆฒณ้‡Œ็Žฉ่ฟ‡ๆฐด๏ผŒไป–็š„ๆฐดๆ€งๅฅฝๅƒๆ˜ฏๅคฉ็”Ÿ็š„๏ผŒๅฅถๅฅถ่ฏดไป–่งไบ†ๆฐดๆฏ”่งไบ†ไบฒๅจ˜่ฟ˜ๆ€ฅใ€‚
English: Father had gone swimming so often in the Black Water River that he seemed born to it. Grandma said that the sight of the river excited him more than the sight of his own mother.
Chinese: ็ˆถไบฒไปŽ้ซ˜็ฒฑๆ นไธ‹ๆŒ–่ตทไธ€ๅ—้ป‘ๅœŸ๏ผŒ็”จๆ‰‹ๆ“ๅพ—็ฒพ็ป†๏ผŒๆ’’ๅœจ้ป„่กจ็บธไธŠใ€‚
English: Father bent down and picked up a clod of dark earth near the roots of a sorghum stalk, crumbled it in his fingers, and spread it on the paper.
Chinese: ่‡ชไปŽๅˆ†ๆ‰‹ๅŽ๏ผŒ่ฟ™ๆ˜ฏ็ฌฌไธ€ๆฌก่ง๏ผŒไธญ้—ด็›ธ้š”ๆœ‰ๅไธ‡ๅ…ซๅƒๅนดไผผ็š„ใ€‚
English: This was the first time they had been together since their parting. It felt like thousands of years since they had last seen each other.
Chinese: ๅฅฝๅฅฝๅ„ฟ็š„๏ผŒๅฎถๅŽปๅšไป€ไนˆ๏ผŸโ€
English: 'I'm perfectly all right. What should I want to go home for?'
Chinese: ็ป็ณๅคงๅซ่ตทๆฅ๏ผŒๅˆๆŽฅ็€ๆป”ๆป”ไธ็ปๅœฐ่ฎฒ่ตทไบ†ๅฎ‡ๅฎ™ๅคง็ˆ†็‚ธ๏ผŒ่‡ช็„ถไธๅฟ˜ๆทฑๅˆปๅœฐๅ‰–ๆžๅ…ถๅๅŠจๆœฌ่ดจใ€‚
English: Shao Lin shouted. Then she began a long lecture about the big bang theory, remembering to splice in insightful critiques of the theory's extremely reactionary nature.
Chinese: ้กพ็‚Žๆญฆ้“๏ผšโ€œ็—›ๅฟซๆท‹ๆผ“๏ผŒ็œŸๆ˜ฏ็ปๅฆ™ๅฅฝ่พžใ€‚โ€
English: 'It says all there is to say, ' said Gu Yanwu. 'Masterly!'
Chinese: ๅฎƒ่™ฝๆ˜ฏๆฃไนฑไนŸๆ˜ฏ่ฎค็œŸๆณๅˆ‡๏ผŒ่€Œไธๆ˜ฏ็Žฉไธ–ไธๆญ๏ผŒๅฐฑ็ฎ—ๆ˜ฏ่ฐฃ่จ€ไนŸๆ˜ฏๆ‚‰ๅฟƒ็ผ–้€ ใ€‚
English: Though always making trouble, they are nevertheless earnest and sincere. Gossip is never cynical; even if the thing in question is nothing but empty rumors, the utmost care is still put into their creation.
Chinese: ๆœ‰ไธ€็‚นๅฏไปฅ่‚ฏๅฎš๏ผŒไธ็ฎกๅนฝ็ตๅ€’่ฎกๆ—ถ็š„ๅฐฝๅคดๆ˜ฏไป€ไนˆ๏ผŒๅœจ่ฟ™ๅ‰ฉไธ‹็š„ๅƒไฝ™ไธชๅฐๆ—ถไธญ๏ผŒๅฏนๅฐฝๅคด็š„็Œœๆต‹ๅฐ†ๅƒๆถ้ญ”้‚ฃๆ ทๆฎ‹้…ทๅœฐๆŠ˜็ฃจไป–๏ผŒๆœ€ๅŽๅœจ็ฒพ็ฅžไธŠๅฝปๅบ•ๆ‘งๆฏไป–ใ€‚
English: One thing was certain. No matter what was at the end of the countdown, in the remaining one thousand or so hours, the possibilities would torture him cruelly, like demons, until he suffered a complete mental breakdown.
Chinese: ๆˆ‘่™ฝ็ณŠๆถ‚๏ผŒๅดๆ˜Ž็™ฝ่ฟ™ไธคๅฅ่ฏใ€‚
English: Even a simpleton like me knows that much!
Chinese: ็Ž‹็ฆ็‘ถ่ฟ˜ๆฒกๅˆฐ่ฟ™ไธ€ๆญฅ๏ผŒๅฅน็š„ๆƒณๅคด่ฟ˜ๆœ‰ไบ›ๆžๅถ่Šฑๆœต๏ผŒๅœจๅนณๅฎ‰้‡Œ้ปฏๆทก็š„ๅคœ้‡Œ๏ผŒ้—ชๅ‡บไบ›ๅ…‰ไบฎๆฅใ€‚
English: Wang Qiyao had not reached this stage. Her thoughts still had stems, leaves, and flowers, which glimmered in the dark night of Peace Lane.
Chinese: ๅŽŸๆฅ่ดพ็‘ž็ˆถๆฏๆ—ฉไบก๏ผŒๅชๆœ‰ไป–็ฅ–็ˆถไปฃๅ„’ๆ•™ๅ…ปใ€‚
English: Jia Rui had lost both of his parents in infancy and had been brought up under the sole guardianship of his grandfather Jia Dai-ru.
Chinese: ๅœจๆˆ‘่ฟ›ๅฑฑไน‹ๅ‰๏ผŒๆ€ปๅ…ฑๅฐฑ่งๅˆฐไบ†ไธคไธชไบบ๏ผŒไธ€ไธชๆ˜ฏ้™ˆๆธ…ๆ‰ฌ๏ผŒๅฅนๆฒกๆœ‰ๅ‘Š่ฏ‰ๆˆ‘่ฟ™ไปถไบ‹ใ€‚ ๅฆไธ€ไธชๆ˜ฏๆˆ‘ไปฌ้˜Ÿ้•ฟ๏ผŒไป–ไนŸๆฒก่ฏด่ตท่ฟ™ไปถไบ‹๏ผŒๅชๅซๆˆ‘ๅŽปๆธฉๆณ‰ๅ…ป็—…ใ€‚
English: I saw only two people before my trip, one of whom was Chen Qingyang, who hadn't mentioned it; the other one was our team leader, who also hadn't said anything other than telling me to take a good rest at the thermal springs.
Chinese: ้‚ฃไธช้ฃžๅ‡บ็š„ๆž„ไปถๆ—‹ๅณ่ฝไบบๆฐดไธญ๏ผŒๆฟ€่ตทไบ†้ซ˜้ซ˜็š„ๆฐดๆŸฑ๏ผŒๅœจๅฎƒไธ€้—ช่€Œ่ฟ‡ไน‹้™…๏ผŒๆฑชๆทผ็œ‹ๅ‡บ้‚ฃๆ˜ฏ่ˆนไธŠๅ‘ๅŠจๆœบ็š„ไธ€ๆฎตๆ›ฒ่ฝดใ€‚
English: A broken component flew out of the hole and fell into the water, causing a large column of water to shoot up. As it briefly flew past, Wang recognized it as a section of the engine crankshaft.
Chinese: ๅˆฐไบ†่ฃๅบœๅคง้—จๅ‰็Ÿณ็‹ฎๅญๆ—่พน๏ผŒๅช่งๆปก้—จๅฃ็š„่ฝฟ้ฉฌใ€‚
English: There, at each side of the stone lions which flanked the gates of the Rong Mansion, she saw a cluster of horses and palanquins.
Chinese: ๅฎก้—ฎ่€…๏ผšไฝ ่ฎคไธบ่ฟ™ไธช็ป“่ฎบ๏ผŒๆœฌ่บซ็ง‘ๅญฆๅ—๏ผŸ
English: INTERROGATOR: Do you think this conclusion you drew is scientific?
Chinese: ไป–ๆŠŠๅดไฝฉ็ๅฝ“ๅฐๅญฉๅญ็œ‹๏ผŒๅ–œๆฌข้€—ๅฅน๏ผŒๅผ€ไบ›็Žฉ็ฌ‘๏ผ›ๅฏน็Ž‹็ฆ็‘ถๅˆ™่ฏดๆœ‰ๆœบไผš่ฆ่ฎฉๅฅนไธŠไธ€ๅ›ž้•œๅคด๏ผŒๅ› ๅฅน็š„็œ‰็œผๆœ‰ไบ›ๅƒ้˜ฎ็Žฒ็Ž‰๏ผŒ่ถ็€ไบบไปฌๅฏน้˜ฎ็Žฒ็Ž‰็š„ๆ€€ๅฟต๏ผŒ่ฏดไธๅฎš่ƒฝๆงๅ‡บไธ€้ข—ๆ˜Žๆ˜Ÿใ€‚
English: He treated Wu Peizhen as if she were a child; he loved to tease her and play little jokes on her. He promised to put Wang Qiyao in a scene in one of his movies as soon as the opportunity arose. Who knows? Because her coquettish eyes resembled Ruan Lingyu's, they might even be able to capitalize on the audience's nostalgia for the dead movie star and make Wang Qiyao into a new diva of the screen.
Chinese: ่ดพ็‘žไนŸๆป็€ไธ€ๆŠŠๆฑ—๏ผŒๅฐ‘ไธๅพ—ๅ›žๆฅๆ’’่ฐŽ๏ผŒๅช่ฏด๏ผšโ€œๅพ€่ˆ…่ˆ…ๅฎถๅŽปไบ†๏ผŒๅคฉ้ป‘ไบ†๏ผŒ็•™ๆˆ‘ไฝไบ†ไธ€ๅคœใ€‚โ€
English: The prospect of facing his grandfather on arrival made Jia Rui sweat. A lie of some sort was indispensable. 'I went to see Uncle yesterday,' he managed to say, 'and as it was getting dark, he asked me to stay the night.'
Chinese: ๆˆ‘็š„ๅŽ่…ฐไธŠๅฅฝๅƒ่ขซ็Œชๅ…ซๆˆ’็ญ‘ไบ†ไธค่€™ใ€‚
English: My lower back looked like it had been struck by Pigsy's rake.
Chinese: ่ดพ็‘ž่ง่ฏท๏ผŒๅฟƒไธญๆš—ๅ–œใ€‚
English: Hearing that he was to be received, Jia Rui rejoiced inwardly.
Chinese: ๆˆ‘ๅŽปๅ‘Š่ฏ‰ๆˆ‘ๅฎถ็ˆน๏ผŒๆ‹ฟ้“œ็‚ฎๆžชๆ‰“ไฝ ไปฌ๏ผโ€
English: I'm going to tell my father. He'll shoot the two of you with his bronze-barreled shotgun!'
Chinese: ๆˆ‘ไปฌๆœ‰ๅ„็ง้€‰ๆ‹ฉ๏ผŒๅฏไปฅๅˆฐๅ„ๆ–นๅ‘ๅŽปใ€‚
English: We could have made any choice and set off in any direction.
Chinese: ็ˆถไบฒ็š„ๅ‹ƒๆœ—ๅฎๆ‰‹ๆžชๅŽ‹ๅœจๆ—ฅๆœฌๆด‹้ฉฌ่‚šๅญไธ‹่พนไบ†ใ€‚ ๅœจไธ‹ๅˆๆœ€ๅŽ็š„ๆๆ–—ไธญ๏ผŒ็ˆถไบฒๆ‹–็€ไธ€ๆ†ๆฏ”ไป–็Ÿฎไธไบ†ๅคšๅฐ‘็š„ๆ—ฅๆœฌ้ฉฌๆžช๏ผŒ็ˆท็ˆท่ฟ˜็”จ็€้‚ฃๆ”ฏๅพทๅ›ฝ้€ โ€œ่‡ชๆฅๅพ—โ€ๆ‰‹ๆžชใ€‚ ่ฟž็ปญไธๆ–ญๅœฐๅฐ„ๅ‡ป๏ผŒไฝฟๆœฌๆฅๅฐฑ่ฟ‡ไบ†้’ๆ˜ฅๅนดๅŽ็š„่ฟ™ๆ”ฏโ€œ่‡ชๆฅๅพ—โ€่ฟ…้€Ÿๅฅ”ๅ‘ๅบŸ้“ๅ †ใ€‚
English: Since Father's Browning pistol lay under the belly of the fallen horse, during the final battle of the afternoon he used a Japanese rifle nearly as tall as he was; Granddad used his German automatic, firing it so rapidly it spent its youth and was ready for the trash heap.
Chinese: ้’ฑ่€ๆฟ้“๏ผšโ€œๅคš่ฐข้Ÿฆ้ฆ™ไธปๅคธๅฅ–ใ€‚โ€
English: 'Oh, I don't know about that,' said Butcher Qian coyly. 'Anyway, thank you, Master.'

Chinese: ่€่€ฟ็ซฏ่ตทๆžช๏ผŒ็œฏ็ผ่ตทไธ€ๅชไธ‰่ง’็œผ๏ผŒไธ€ๆ‚ๆ‰ณๆœบๅ“ไบ†ๆžช๏ผŒๅ†ฐ้›น่ˆฌ็š„้‡‘้บป้›€ๅŠˆๅ“ฉๅ•ชๅ•ฆๅพ€ไธ‹่ฝ๏ผŒ้“็ ‚ๅญๅœจๆŸณๆž้—ด้ฃž่ฟธ็€๏ผŒๅš“ๅš“ๆœ‰ๅฃฐใ€‚
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>



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 14%|โ–ˆโ–        | 78/567 [1:49:58<13:46:57, 101.47s/it]
 14%|โ–ˆโ–        | 79/567 [1:55:51<23:58:24, 176.85s/it]
 14%|โ–ˆโ–        | 80/567 [1:56:46<18:59:33, 140.40s/it]
 14%|โ–ˆโ–        | 81/567 [1:57:07<14:07:27, 104.62s/it]
 14%|โ–ˆโ–        | 82/567 [2:03:02<24:12:03, 179.64s/it]
 15%|โ–ˆโ–        | 83/567 [2:03:34<18:11:35, 135.32s/it]
 15%|โ–ˆโ–        | 84/567 [2:09:29<26:59:04, 201.13s/it]
 15%|โ–ˆโ–        | 85/567 [2:09:47<19:36:40, 146.47s/it]
 15%|โ–ˆโ–Œ        | 86/567 [2:09:57<14:05:50, 105.51s/it]
 15%|โ–ˆโ–Œ        | 87/567 [2:15:51<23:58:52, 179.86s/it]
 16%|โ–ˆโ–Œ        | 88/567 [2:16:20<17:55:18, 134.69s/it]
 16%|โ–ˆโ–Œ        | 89/567 [2:17:41<15:43:35, 118.44s/it]
 16%|โ–ˆโ–Œ        | 90/567 [2:18:27<12:50:30, 96.92s/it] 
 16%|โ–ˆโ–Œ        | 91/567 [2:19:18<10:57:48, 82.92s/it]
 16%|โ–ˆโ–Œ        | 92/567 [2:19:47<8:49:21, 66.87s/it] 
 16%|โ–ˆโ–‹        | 93/567 [2:20:07<6:57:06, 52.80s/it]
 17%|โ–ˆโ–‹        | 94/567 [2:26:04<18:56:38, 144.18s/it]
 17%|โ–ˆโ–‹        | 95/567 [2:26:28<14:09:46, 108.02s/it]
 17%|โ–ˆโ–‹        | 96/567 [2:28:26<14:31:39, 111.04s/it]
 17%|โ–ˆโ–‹        | 97/567 [2:29:08<11:47:55, 90.37s/it] 
 17%|โ–ˆโ–‹        | 98/567 [2:29:22<8:46:48, 67.40s/it] 
 17%|โ–ˆโ–‹        | 99/567 [2:29:50<7:13:53, 55.63s/it]
 18%|โ–ˆโ–Š        | 100/567 [2:35:43<18:47:27, 144.86s/it]
 18%|โ–ˆโ–Š        | 101/567 [2:36:14<14:18:27, 110.53s/it]
 18%|โ–ˆโ–Š        | 102/567 [2:37:16<12:24:49, 96.11s/it] 
 18%|โ–ˆโ–Š        | 103/567 [2:38:46<12:08:52, 94.25s/it]
 18%|โ–ˆโ–Š        | 104/567 [2:39:37<10:27:09, 81.27s/it]
 19%|โ–ˆโ–Š        | 105/567 [2:41:18<11:10:43, 87.11s/it]
 19%|โ–ˆโ–Š        | 106/567 [2:42:08<9:43:19, 75.92s/it] 
 19%|โ–ˆโ–‰        | 107/567 [2:42:24<7:25:07, 58.06s/it]
 19%|โ–ˆโ–‰        | 108/567 [2:44:01<8:53:44, 69.77s/it]
 19%|โ–ˆโ–‰        | 109/567 [2:48:23<16:13:50, 127.58s/it]
 19%|โ–ˆโ–‰        | 110/567 [2:48:53<12:26:55, 98.07s/it] 
 20%|โ–ˆโ–‰        | 111/567 [2:50:21<12:02:45, 95.10s/it]
 20%|โ–ˆโ–‰        | 112/567 [2:56:14<21:47:36, 172.43s/it]
 20%|โ–ˆโ–‰        | 113/567 [2:57:30<18:06:32, 143.60s/it]
 20%|โ–ˆโ–ˆ        | 114/567 [2:57:56<13:37:01, 108.21s/it]
 20%|โ–ˆโ–ˆ        | 115/567 [2:59:26<12:53:52, 102.73s/it]
 20%|โ–ˆโ–ˆ        | 116/567 [3:05:17<22:12:58, 177.34s/it]
 21%|โ–ˆโ–ˆ        | 117/567 [3:05:49<16:42:12, 133.63s/it]
 21%|โ–ˆโ–ˆ        | 118/567 [3:06:33<13:19:07, 106.79s/it]
 21%|โ–ˆโ–ˆ        | 119/567 [3:07:59<12:30:00, 100.45s/it]
 21%|โ–ˆโ–ˆ        | 120/567 [3:08:40<10:17:06, 82.83s/it] 
 21%|โ–ˆโ–ˆโ–       | 121/567 [3:08:58<7:49:56, 63.22s/it] 
 22%|โ–ˆโ–ˆโ–       | 122/567 [3:09:27<6:33:35, 53.07s/it]
 22%|โ–ˆโ–ˆโ–       | 123/567 [3:09:55<5:37:42, 45.64s/it]
 22%|โ–ˆโ–ˆโ–       | 124/567 [3:10:31<5:15:17, 42.70s/it]
 22%|โ–ˆโ–ˆโ–       | 125/567 [3:10:57<4:37:16, 37.64s/it]
 22%|โ–ˆโ–ˆโ–       | 126/567 [3:11:33<4:33:31, 37.21s/it]
 22%|โ–ˆโ–ˆโ–       | 127/567 [3:17:28<16:10:58, 132.41s/it]
 23%|โ–ˆโ–ˆโ–Ž       | 128/567 [3:18:23<13:20:08, 109.36s/it]
 23%|โ–ˆโ–ˆโ–Ž       | 129/567 [3:19:20<11:22:48, 93.54s/it] 
 23%|โ–ˆโ–ˆโ–Ž       | 130/567 [3:21:08<11:53:08, 97.91s/it]
 23%|โ–ˆโ–ˆโ–Ž       | 131/567 [3:21:38<9:22:17, 77.38s/it] 
 23%|โ–ˆโ–ˆโ–Ž       | 132/567 [3:23:28<10:32:11, 87.20s/it]
 23%|โ–ˆโ–ˆโ–Ž       | 133/567 [3:25:05<10:53:02, 90.28s/it]
 24%|โ–ˆโ–ˆโ–Ž       | 134/567 [3:27:06<11:58:03, 99.50s/it]
 24%|โ–ˆโ–ˆโ–       | 135/567 [3:27:45<9:44:16, 81.15s/it] 
 24%|โ–ˆโ–ˆโ–       | 136/567 [3:28:21<8:06:01, 67.66s/it]
 24%|โ–ˆโ–ˆโ–       | 137/567 [3:28:56<6:54:52, 57.89s/it]
 24%|โ–ˆโ–ˆโ–       | 138/567 [3:29:13<5:27:19, 45.78s/it]
 25%|โ–ˆโ–ˆโ–       | 139/567 [3:29:48<5:03:41, 42.57s/it]
 25%|โ–ˆโ–ˆโ–       | 140/567 [3:30:21<4:42:07, 39.64s/it]
 25%|โ–ˆโ–ˆโ–       | 141/567 [3:31:04<4:48:40, 40.66s/it]
 25%|โ–ˆโ–ˆโ–Œ       | 142/567 [3:32:01<5:21:21, 45.37s/it]
 25%|โ–ˆโ–ˆโ–Œ       | 143/567 [3:32:22<4:29:19, 38.11s/it]
 25%|โ–ˆโ–ˆโ–Œ       | 144/567 [3:38:14<15:32:15, 132.24s/it]
 26%|โ–ˆโ–ˆโ–Œ       | 145/567 [3:40:34<15:47:10, 134.67s/it]
 26%|โ–ˆโ–ˆโ–Œ       | 146/567 [3:41:15<12:27:17, 106.50s/it]
 26%|โ–ˆโ–ˆโ–Œ       | 147/567 [3:47:10<21:06:54, 180.99s/it]
 26%|โ–ˆโ–ˆโ–Œ       | 148/567 [3:49:07<18:50:41, 161.91s/it]
 26%|โ–ˆโ–ˆโ–‹       | 149/567 [3:49:29<13:55:45, 119.97s/it]
 26%|โ–ˆโ–ˆโ–‹       | 150/567 [3:49:37<9:59:33, 86.27s/it]  
 27%|โ–ˆโ–ˆโ–‹       | 151/567 [3:49:52<7:30:27, 64.97s/it]
 27%|โ–ˆโ–ˆโ–‹       | 152/567 [3:50:24<6:20:18, 54.98s/it]
 27%|โ–ˆโ–ˆโ–‹       | 153/567 [3:51:17<6:15:45, 54.46s/it]
 27%|โ–ˆโ–ˆโ–‹       | 154/567 [3:52:54<7:42:33, 67.20s/it]
 27%|โ–ˆโ–ˆโ–‹       | 155/567 [3:53:27<6:32:23, 57.14s/it]
 28%|โ–ˆโ–ˆโ–Š       | 156/567 [3:54:14<6:09:25, 53.93s/it]
 28%|โ–ˆโ–ˆโ–Š       | 157/567 [3:55:06<6:04:40, 53.37s/it]
 28%|โ–ˆโ–ˆโ–Š       | 158/567 [3:56:35<7:17:40, 64.21s/it]
 28%|โ–ˆโ–ˆโ–Š       | 159/567 [3:57:04<6:02:51, 53.36s/it]
 28%|โ–ˆโ–ˆโ–Š       | 160/567 [4:02:58<16:15:43, 143.84s/it]
 28%|โ–ˆโ–ˆโ–Š       | 161/567 [4:03:13<11:51:19, 105.12s/it]
 29%|โ–ˆโ–ˆโ–Š       | 162/567 [4:09:05<20:08:41, 179.07s/it]
 29%|โ–ˆโ–ˆโ–Š       | 163/567 [4:09:36<15:07:17, 134.75s/it]
 29%|โ–ˆโ–ˆโ–‰       | 164/567 [4:10:47<12:56:13, 115.57s/it]
 29%|โ–ˆโ–ˆโ–‰       | 165/567 [4:11:40<10:48:59, 96.86s/it] 
 29%|โ–ˆโ–ˆโ–‰       | 166/567 [4:12:07<8:27:24, 75.92s/it] 
 29%|โ–ˆโ–ˆโ–‰       | 167/567 [4:13:24<8:27:10, 76.08s/it]
 30%|โ–ˆโ–ˆโ–‰       | 168/567 [4:13:55<6:57:05, 62.72s/it]
 30%|โ–ˆโ–ˆโ–‰       | 169/567 [4:14:42<6:23:38, 57.83s/it]
 30%|โ–ˆโ–ˆโ–‰       | 170/567 [4:16:37<8:15:57, 74.96s/it]
 30%|โ–ˆโ–ˆโ–ˆ       | 171/567 [4:18:12<8:55:20, 81.11s/it]
 30%|โ–ˆโ–ˆโ–ˆ       | 172/567 [4:18:53<7:34:18, 69.01s/it]
 31%|โ–ˆโ–ˆโ–ˆ       | 173/567 [4:19:23<6:16:52, 57.39s/it]
 31%|โ–ˆโ–ˆโ–ˆ       | 174/567 [4:19:56<5:27:37, 50.02s/it]
 31%|โ–ˆโ–ˆโ–ˆ       | 175/567 [4:25:48<15:19:36, 140.76s/it]
 31%|โ–ˆโ–ˆโ–ˆ       | 176/567 [4:26:17<11:37:07, 106.98s/it]
 31%|โ–ˆโ–ˆโ–ˆ       | 177/567 [4:32:10<19:35:45, 180.89s/it]
 31%|โ–ˆโ–ˆโ–ˆโ–      | 178/567 [4:32:42<14:43:45, 136.31s/it]
 32%|โ–ˆโ–ˆโ–ˆโ–      | 179/567 [4:33:28<11:44:57, 109.02s/it]
 32%|โ–ˆโ–ˆโ–ˆโ–      | 180/567 [4:34:06<9:26:39, 87.85s/it]  
 32%|โ–ˆโ–ˆโ–ˆโ–      | 181/567 [4:34:39<7:38:44, 71.31s/it]
 32%|โ–ˆโ–ˆโ–ˆโ–      | 182/567 [4:34:51<5:43:01, 53.46s/it]
 32%|โ–ˆโ–ˆโ–ˆโ–      | 183/567 [4:35:06<4:28:49, 42.00s/it]
 32%|โ–ˆโ–ˆโ–ˆโ–      | 184/567 [4:35:56<4:43:05, 44.35s/it]
 33%|โ–ˆโ–ˆโ–ˆโ–Ž      | 185/567 [4:36:25<4:12:53, 39.72s/it]
 33%|โ–ˆโ–ˆโ–ˆโ–Ž      | 186/567 [4:38:18<6:33:01, 61.89s/it]
 33%|โ–ˆโ–ˆโ–ˆโ–Ž      | 187/567 [4:44:10<15:42:06, 148.75s/it]
 33%|โ–ˆโ–ˆโ–ˆโ–Ž      | 188/567 [4:44:31<11:37:40, 110.45s/it]
 33%|โ–ˆโ–ˆโ–ˆโ–Ž      | 189/567 [4:45:02<9:06:45, 86.79s/it]  
 34%|โ–ˆโ–ˆโ–ˆโ–Ž      | 190/567 [4:45:17<6:48:31, 65.02s/it]
 34%|โ–ˆโ–ˆโ–ˆโ–Ž      | 191/567 [4:46:31<7:05:06, 67.84s/it]
 34%|โ–ˆโ–ˆโ–ˆโ–      | 192/567 [4:47:13<6:15:29, 60.08s/it]
 34%|โ–ˆโ–ˆโ–ˆโ–      | 193/567 [4:53:13<15:35:41, 150.11s/it]
 34%|โ–ˆโ–ˆโ–ˆโ–      | 194/567 [4:53:38<11:38:46, 112.40s/it]
 34%|โ–ˆโ–ˆโ–ˆโ–      | 195/567 [4:54:15<9:17:02, 89.85s/it]  
 35%|โ–ˆโ–ˆโ–ˆโ–      | 196/567 [5:00:08<17:23:30, 168.76s/it]
 35%|โ–ˆโ–ˆโ–ˆโ–      | 197/567 [5:01:07<13:57:57, 135.88s/it]
 35%|โ–ˆโ–ˆโ–ˆโ–      | 198/567 [5:02:14<11:49:19, 115.34s/it]
 35%|โ–ˆโ–ˆโ–ˆโ–Œ      | 199/567 [5:03:00<9:38:37, 94.34s/it]  
 35%|โ–ˆโ–ˆโ–ˆโ–Œ      | 200/567 [5:03:41<8:00:51, 78.61s/it]
 35%|โ–ˆโ–ˆโ–ˆโ–Œ      | 201/567 [5:04:09<6:26:22, 63.34s/it]
 36%|โ–ˆโ–ˆโ–ˆโ–Œ      | 202/567 [5:04:35<5:16:46, 52.07s/it]
 36%|โ–ˆโ–ˆโ–ˆโ–Œ      | 203/567 [5:05:09<4:42:15, 46.53s/it]
 36%|โ–ˆโ–ˆโ–ˆโ–Œ      | 204/567 [5:05:34<4:03:20, 40.22s/it]
 36%|โ–ˆโ–ˆโ–ˆโ–Œ      | 205/567 [5:06:14<4:01:38, 40.05s/it]
 36%|โ–ˆโ–ˆโ–ˆโ–‹      | 206/567 [5:07:24<4:55:55, 49.18s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 207/567 [5:07:57<4:25:10, 44.19s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 208/567 [5:08:56<4:51:22, 48.70s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 209/567 [5:09:13<3:54:45, 39.34s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 210/567 [5:09:54<3:56:40, 39.78s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 211/567 [5:10:41<4:07:52, 41.78s/it]
 37%|โ–ˆโ–ˆโ–ˆโ–‹      | 212/567 [5:11:12<3:49:17, 38.75s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 213/567 [5:11:53<3:52:14, 39.36s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 214/567 [5:12:34<3:54:00, 39.78s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 215/567 [5:13:07<3:41:09, 37.70s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 216/567 [5:13:53<3:55:53, 40.32s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 217/567 [5:14:46<4:17:50, 44.20s/it]
 38%|โ–ˆโ–ˆโ–ˆโ–Š      | 218/567 [5:15:55<4:59:17, 51.46s/it]
 39%|โ–ˆโ–ˆโ–ˆโ–Š      | 219/567 [5:16:33<4:35:57, 47.58s/it]
 39%|โ–ˆโ–ˆโ–ˆโ–‰      | 220/567 [5:17:05<4:07:28, 42.79s/it]
 39%|โ–ˆโ–ˆโ–ˆโ–‰      | 221/567 [5:19:04<6:18:18, 65.60s/it]
 39%|โ–ˆโ–ˆโ–ˆโ–‰      | 222/567 [5:19:33<5:14:39, 54.72s/it]
 39%|โ–ˆโ–ˆโ–ˆโ–‰      | 223/567 [5:19:45<4:00:20, 41.92s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–‰      | 224/567 [5:21:56<6:32:49, 68.72s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–‰      | 225/567 [5:22:46<5:59:26, 63.06s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–‰      | 226/567 [5:23:32<5:28:07, 57.73s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 227/567 [5:23:50<4:20:54, 46.04s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 228/567 [5:26:14<7:06:13, 75.44s/it]
 40%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 229/567 [5:32:08<14:55:46, 159.01s/it]
 41%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 230/567 [5:32:35<11:10:25, 119.36s/it]
 41%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 231/567 [5:33:26<9:13:38, 98.86s/it]  
 41%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 232/567 [5:34:01<7:25:12, 79.74s/it]
 41%|โ–ˆโ–ˆโ–ˆโ–ˆ      | 233/567 [5:36:32<9:22:05, 100.98s/it]
 41%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 234/567 [5:36:45<6:54:21, 74.66s/it] 
 41%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 235/567 [5:37:40<6:19:29, 68.58s/it]
 42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 236/567 [5:38:33<5:52:59, 63.99s/it]
 42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 237/567 [5:38:54<4:41:06, 51.11s/it]
 42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 238/567 [5:40:00<5:04:11, 55.48s/it]
 42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 239/567 [5:40:38<4:35:26, 50.39s/it]
 42%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 240/567 [5:42:19<5:57:13, 65.55s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 241/567 [5:42:51<5:00:59, 55.40s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 242/567 [5:43:30<4:34:27, 50.67s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 243/567 [5:44:27<4:43:31, 52.51s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 244/567 [5:45:26<4:53:22, 54.50s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 245/567 [5:45:45<3:54:50, 43.76s/it]
 43%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 246/567 [5:46:26<3:49:19, 42.87s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 247/567 [5:46:42<3:06:17, 34.93s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Ž     | 248/567 [5:47:20<3:09:36, 35.66s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 249/567 [5:47:52<3:04:18, 34.78s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 250/567 [5:48:50<3:40:36, 41.76s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 251/567 [5:50:15<4:47:37, 54.61s/it]
 44%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 252/567 [5:51:04<4:37:27, 52.85s/it]
 45%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 253/567 [5:51:21<3:41:15, 42.28s/it]
 45%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 254/567 [5:53:11<5:26:19, 62.55s/it]
 45%|โ–ˆโ–ˆโ–ˆโ–ˆโ–     | 255/567 [5:53:55<4:56:37, 57.04s/it]
 45%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 256/567 [5:54:16<3:59:36, 46.23s/it]
 45%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 257/567 [5:55:34<4:47:52, 55.72s/it]
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 258/567 [6:01:28<12:27:01, 145.05s/it]
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 259/567 [6:01:45<9:08:25, 106.84s/it] 
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 260/567 [6:03:11<8:34:31, 100.56s/it]
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 261/567 [6:03:52<7:01:24, 82.63s/it] 
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 262/567 [6:04:59<6:36:17, 77.96s/it]
 46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 263/567 [6:05:21<5:09:50, 61.15s/it]
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 264/567 [6:05:33<3:54:24, 46.42s/it]
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 265/567 [6:11:29<11:41:06, 139.29s/it]
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 266/567 [6:11:55<8:48:23, 105.33s/it] 
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 267/567 [6:12:30<7:01:16, 84.26s/it] 
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 268/567 [6:13:35<6:30:00, 78.26s/it]
 47%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‹     | 269/567 [6:14:18<5:36:37, 67.78s/it]
 48%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 270/567 [6:16:23<7:00:48, 85.01s/it]
 48%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 271/567 [6:22:21<13:42:56, 166.81s/it]
 48%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 272/567 [6:22:53<10:21:00, 126.31s/it]
 48%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 273/567 [6:23:24<7:59:56, 97.95s/it]  
 48%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 274/567 [6:23:51<6:14:24, 76.67s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 275/567 [6:24:22<5:06:03, 62.89s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Š     | 276/567 [6:25:33<5:16:26, 65.24s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 277/567 [6:26:09<4:33:35, 56.61s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 278/567 [6:26:25<3:33:52, 44.40s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 279/567 [6:27:39<4:15:08, 53.15s/it]
 49%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 280/567 [6:28:33<4:16:29, 53.62s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 281/567 [6:28:51<3:24:13, 42.85s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 282/567 [6:29:23<3:07:38, 39.50s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–‰     | 283/567 [6:30:12<3:20:12, 42.30s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 284/567 [6:30:37<2:55:44, 37.26s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 285/567 [6:31:03<2:38:58, 33.82s/it]
 50%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 286/567 [6:31:23<2:18:35, 29.59s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 287/567 [6:32:14<2:48:06, 36.02s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 288/567 [6:32:58<2:58:52, 38.47s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 289/567 [6:33:49<3:15:44, 42.25s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ     | 290/567 [6:34:31<3:14:35, 42.15s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 291/567 [6:40:24<10:22:19, 135.29s/it]
 51%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 292/567 [6:41:16<8:25:52, 110.37s/it] 
 52%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 293/567 [6:41:50<6:39:17, 87.44s/it] 
 52%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 294/567 [6:42:25<5:26:13, 71.70s/it]
 52%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 295/567 [6:48:16<11:44:58, 155.51s/it]
 52%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 296/567 [6:49:06<9:19:23, 123.85s/it] 
 52%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 297/567 [6:49:37<7:12:31, 96.12s/it] 
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 298/567 [6:55:35<13:03:16, 174.71s/it]
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 299/567 [6:57:42<11:55:31, 160.19s/it]
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 300/567 [6:58:34<9:28:34, 127.77s/it] 
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 301/567 [6:59:19<7:36:48, 103.04s/it]
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 302/567 [6:59:54<6:04:59, 82.64s/it] 
 53%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 303/567 [7:00:22<4:51:39, 66.29s/it]
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž    | 304/567 [7:00:54<4:04:49, 55.85s/it]
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 305/567 [7:01:34<3:44:08, 51.33s/it]
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 306/567 [7:07:29<10:18:55, 142.28s/it]
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 307/567 [7:08:48<8:54:20, 123.31s/it] 
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 308/567 [7:09:23<6:57:56, 96.82s/it] 
 54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 309/567 [7:09:38<5:11:11, 72.37s/it]
 55%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 310/567 [7:12:05<6:45:26, 94.66s/it]
 55%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 311/567 [7:13:04<5:58:14, 83.96s/it]
 55%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 312/567 [7:13:35<4:48:46, 67.95s/it]
 55%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 313/567 [7:15:18<5:32:20, 78.51s/it]
 55%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 314/567 [7:21:12<11:19:44, 161.20s/it]
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 315/567 [7:27:08<15:23:17, 219.83s/it]
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 316/567 [7:27:31<11:11:41, 160.56s/it]
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 317/567 [7:28:12<8:39:19, 124.64s/it] 
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ    | 318/567 [7:28:31<6:26:42, 93.18s/it] 
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 319/567 [7:29:26<5:37:17, 81.60s/it]
 56%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 320/567 [7:29:43<4:16:46, 62.37s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 321/567 [7:31:05<4:38:59, 68.05s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 322/567 [7:31:41<3:58:56, 58.52s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 323/567 [7:37:34<9:56:50, 146.76s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 324/567 [7:38:19<7:51:07, 116.33s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 325/567 [7:40:17<7:50:42, 116.70s/it]
 57%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹    | 326/567 [7:40:33<5:48:00, 86.64s/it] 
 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 327/567 [7:40:56<4:30:38, 67.66s/it]
 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 328/567 [7:41:42<4:02:50, 60.96s/it]
 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 329/567 [7:42:47<4:06:55, 62.25s/it]
 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 330/567 [7:42:57<3:03:47, 46.53s/it]
 58%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 331/567 [7:43:28<2:45:23, 42.05s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 332/567 [7:44:05<2:37:42, 40.27s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š    | 333/567 [7:44:44<2:36:18, 40.08s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 334/567 [7:45:11<2:20:28, 36.18s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 335/567 [7:45:50<2:22:35, 36.88s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 336/567 [7:46:06<1:58:20, 30.74s/it]
 59%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 337/567 [7:47:03<2:27:46, 38.55s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 338/567 [7:47:29<2:12:22, 34.69s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 339/567 [7:47:55<2:02:47, 32.31s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰    | 340/567 [7:48:13<1:45:34, 27.91s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 341/567 [7:54:03<7:49:32, 124.66s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 342/567 [7:54:48<6:16:55, 100.51s/it]
 60%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 343/567 [7:55:21<5:00:34, 80.51s/it] 
 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 344/567 [7:56:03<4:16:07, 68.91s/it]
 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 345/567 [7:56:35<3:33:34, 57.73s/it]
 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 346/567 [7:57:00<2:56:10, 47.83s/it]
 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ    | 347/567 [7:59:32<4:50:28, 79.22s/it]
 61%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 348/567 [8:00:08<4:01:29, 66.16s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 349/567 [8:01:36<4:24:16, 72.74s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 350/567 [8:02:18<3:49:37, 63.49s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 351/567 [8:04:23<4:54:38, 81.85s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 352/567 [8:10:15<9:43:53, 162.95s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 353/567 [8:11:17<7:53:50, 132.85s/it]
 62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 354/567 [8:12:04<6:19:37, 106.94s/it]
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 355/567 [8:17:20<9:59:18, 169.62s/it]
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 356/567 [8:18:05<7:45:21, 132.33s/it]
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 357/567 [8:18:24<5:43:59, 98.28s/it] 
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 358/567 [8:24:15<10:06:30, 174.12s/it]
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 359/567 [8:24:40<7:28:06, 129.26s/it] 
 63%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 360/567 [8:25:11<5:44:41, 99.91s/it] 
 64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž   | 361/567 [8:25:38<4:28:02, 78.07s/it]
 64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 362/567 [8:27:05<4:35:25, 80.61s/it]
 64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 363/567 [8:28:20<4:28:53, 79.09s/it]
 64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 364/567 [8:34:14<9:06:59, 161.67s/it]
 64%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 365/567 [8:34:56<7:03:21, 125.75s/it]
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 366/567 [8:35:20<5:18:42, 95.14s/it] 
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 367/567 [8:36:00<4:21:39, 78.50s/it]
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 368/567 [8:37:08<4:10:15, 75.45s/it]
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 369/567 [8:43:02<8:44:30, 158.94s/it]
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 370/567 [8:43:32<6:35:17, 120.40s/it]
 65%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 371/567 [8:44:03<5:05:04, 93.39s/it] 
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 372/567 [8:44:30<3:59:07, 73.58s/it]
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 373/567 [8:45:30<3:45:02, 69.60s/it]
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 374/567 [8:46:42<3:46:01, 70.27s/it]
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ   | 375/567 [8:47:29<3:22:02, 63.14s/it]
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 376/567 [8:47:58<2:48:32, 52.94s/it]
 66%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 377/567 [8:49:21<3:15:51, 61.85s/it]
 67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 378/567 [8:50:04<2:57:04, 56.21s/it]
 67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 379/567 [8:55:58<7:36:26, 145.67s/it]
 67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 380/567 [8:56:36<5:53:48, 113.52s/it]
 67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 381/567 [8:57:16<4:43:13, 91.36s/it] 
 67%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹   | 382/567 [8:57:49<3:47:20, 73.73s/it]
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 383/567 [9:03:45<8:05:53, 158.44s/it]
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 384/567 [9:04:46<6:34:24, 129.31s/it]
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 385/567 [9:05:45<5:28:10, 108.19s/it]
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 386/567 [9:06:23<4:22:20, 86.96s/it] 
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 387/567 [9:06:54<3:31:09, 70.39s/it]
 68%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 388/567 [9:09:01<4:20:31, 87.33s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š   | 389/567 [9:09:38<3:34:35, 72.34s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 390/567 [9:09:55<2:44:00, 55.60s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 391/567 [9:10:53<2:45:08, 56.30s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 392/567 [9:11:56<2:50:32, 58.47s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 393/567 [9:12:20<2:19:10, 47.99s/it]
 69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 394/567 [9:13:12<2:21:57, 49.23s/it]
 70%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 395/567 [9:14:22<2:38:34, 55.32s/it]
 70%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 396/567 [9:15:09<2:31:06, 53.02s/it]
 70%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 397/567 [9:21:09<6:50:38, 144.93s/it]
 70%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 398/567 [9:21:23<4:57:46, 105.72s/it]
 70%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 399/567 [9:21:41<3:42:10, 79.35s/it] 
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 400/567 [9:27:32<7:27:55, 160.93s/it]
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 401/567 [9:28:12<5:44:27, 124.50s/it]
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 402/567 [9:29:07<4:45:42, 103.89s/it]
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   | 403/567 [9:29:55<3:57:47, 86.99s/it] 
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 404/567 [9:30:19<3:04:45, 68.01s/it]
 71%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 405/567 [9:30:42<2:27:31, 54.64s/it]
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 406/567 [9:31:30<2:20:56, 52.53s/it]
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 407/567 [9:37:21<6:19:06, 142.16s/it]
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 408/567 [9:43:17<9:06:57, 206.40s/it]
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 409/567 [9:49:08<10:57:32, 249.70s/it]
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 410/567 [9:49:43<8:04:55, 185.32s/it] 
 72%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 411/567 [9:50:01<5:50:56, 134.98s/it]
 73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 412/567 [9:50:43<4:36:36, 107.07s/it]
 73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 413/567 [9:51:26<3:45:31, 87.87s/it] 
 73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 414/567 [9:51:40<2:47:43, 65.77s/it]
 73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 415/567 [9:53:00<2:57:31, 70.08s/it]
 73%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 416/567 [9:53:46<2:38:31, 62.99s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 417/567 [9:55:12<2:54:09, 69.66s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž  | 418/567 [9:55:52<2:31:30, 61.01s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 419/567 [10:01:53<6:11:49, 150.74s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 420/567 [10:02:47<4:58:33, 121.86s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 421/567 [10:03:41<4:07:19, 101.64s/it]
 74%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 422/567 [10:09:34<7:07:41, 176.98s/it]
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 423/567 [10:10:14<5:25:52, 135.78s/it]
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 424/567 [10:11:08<4:25:25, 111.37s/it]
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–  | 425/567 [10:11:59<3:40:41, 93.25s/it] 
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 426/567 [10:12:17<2:45:49, 70.57s/it]
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 427/567 [10:12:59<2:24:36, 61.97s/it]
 75%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 428/567 [10:14:15<2:33:33, 66.29s/it]
 76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 429/567 [10:20:10<5:51:42, 152.92s/it]
 76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 430/567 [10:20:45<4:28:23, 117.54s/it]
 76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 431/567 [10:22:11<4:04:55, 108.05s/it]
 76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ  | 432/567 [10:23:23<3:38:48, 97.25s/it] 
 76%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 433/567 [10:24:28<3:15:30, 87.54s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 434/567 [10:25:32<2:58:07, 80.35s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 435/567 [10:26:36<2:46:05, 75.49s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 436/567 [10:27:18<2:22:50, 65.42s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 437/567 [10:27:41<1:54:29, 52.84s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 438/567 [10:28:42<1:58:23, 55.07s/it]
 77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 439/567 [10:29:18<1:45:25, 49.42s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 440/567 [10:29:39<1:26:37, 40.92s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 441/567 [10:30:17<1:24:25, 40.20s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 442/567 [10:30:54<1:21:15, 39.00s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 443/567 [10:31:28<1:17:29, 37.50s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 444/567 [10:32:54<1:47:10, 52.28s/it]
 78%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 445/567 [10:33:34<1:38:35, 48.49s/it]
 79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š  | 446/567 [10:36:58<3:11:48, 95.11s/it]
 79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 447/567 [10:37:50<2:44:29, 82.25s/it]
 79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 448/567 [10:38:28<2:16:26, 68.79s/it]
 79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 449/567 [10:38:54<1:50:04, 55.97s/it]
 79%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 450/567 [10:39:27<1:36:03, 49.26s/it]
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 451/567 [10:40:33<1:44:42, 54.16s/it]
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 452/567 [10:46:26<4:35:41, 143.84s/it]
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰  | 453/567 [10:47:32<3:48:56, 120.49s/it]
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 454/567 [10:48:08<2:59:19, 95.22s/it] 
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 455/567 [10:48:35<2:19:25, 74.69s/it]
 80%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 456/567 [10:48:54<1:47:09, 57.93s/it]
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 457/567 [10:54:45<4:27:45, 146.05s/it]
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 458/567 [10:55:30<3:29:49, 115.50s/it]
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 459/567 [10:56:21<2:53:05, 96.16s/it] 
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  | 460/567 [10:56:32<2:05:53, 70.60s/it]
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 461/567 [11:02:23<4:33:39, 154.90s/it]
 81%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 462/567 [11:02:46<3:21:56, 115.39s/it]
 82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 463/567 [11:03:18<2:36:28, 90.28s/it] 
 82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 464/567 [11:03:43<2:01:08, 70.57s/it]
 82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 465/567 [11:04:30<1:48:14, 63.67s/it]
 82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 466/567 [11:10:22<4:12:49, 150.19s/it]
 82%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 467/567 [11:10:40<3:04:07, 110.47s/it]
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 468/567 [11:11:25<2:30:03, 90.95s/it] 
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 469/567 [11:11:55<1:58:13, 72.38s/it]
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 470/567 [11:12:34<1:41:09, 62.57s/it]
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 471/567 [11:13:30<1:36:44, 60.47s/it]
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 472/567 [11:14:58<1:48:51, 68.75s/it]
 83%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 473/567 [11:15:47<1:38:17, 62.74s/it]
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž | 474/567 [11:21:42<3:53:12, 150.45s/it]
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 475/567 [11:22:04<2:51:34, 111.90s/it]
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 476/567 [11:22:32<2:11:40, 86.82s/it] 
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 477/567 [11:22:45<1:37:04, 64.71s/it]
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 478/567 [11:23:15<1:20:42, 54.41s/it]
 84%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 479/567 [11:23:41<1:07:10, 45.80s/it]
 85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 480/567 [11:24:14<1:00:44, 41.90s/it]
 85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 481/567 [11:25:45<1:21:19, 56.74s/it]
 85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 482/567 [11:26:21<1:11:36, 50.54s/it]
 85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 483/567 [11:26:49<1:01:09, 43.69s/it]
 85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 484/567 [11:27:52<1:08:25, 49.47s/it]
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 485/567 [11:28:18<57:51, 42.34s/it]  
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 486/567 [11:30:35<1:35:37, 70.84s/it]
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 487/567 [11:31:43<1:33:14, 69.93s/it]
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 488/567 [11:32:06<1:13:42, 55.98s/it]
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ | 489/567 [11:32:40<1:04:06, 49.31s/it]
 86%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 490/567 [11:33:58<1:14:13, 57.84s/it]
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 491/567 [11:34:32<1:04:10, 50.66s/it]
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 492/567 [11:34:48<50:28, 40.39s/it]  
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 493/567 [11:35:43<55:02, 44.63s/it]
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 494/567 [11:36:31<55:47, 45.86s/it]
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 495/567 [11:38:15<1:15:51, 63.22s/it]
 87%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹ | 496/567 [11:39:18<1:14:46, 63.19s/it]
 88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 497/567 [11:40:17<1:12:16, 61.95s/it]
 88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 498/567 [11:41:08<1:07:28, 58.67s/it]
 88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 499/567 [11:43:00<1:24:34, 74.62s/it]
 88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 500/567 [11:44:11<1:22:10, 73.59s/it]
 88%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 501/567 [11:44:36<1:04:45, 58.87s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 502/567 [11:45:30<1:02:20, 57.54s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š | 503/567 [11:47:14<1:16:14, 71.48s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 504/567 [11:53:08<2:44:00, 156.19s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 505/567 [11:59:03<3:43:01, 215.83s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 506/567 [12:00:15<2:55:28, 172.59s/it]
 89%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 507/567 [12:00:41<2:08:30, 128.51s/it]
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 508/567 [12:01:54<1:50:14, 112.11s/it]
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 509/567 [12:02:22<1:24:01, 86.92s/it] 
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰ | 510/567 [12:03:20<1:14:18, 78.23s/it]
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 511/567 [12:03:58<1:01:34, 65.98s/it]
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 512/567 [12:05:21<1:05:16, 71.20s/it]
 90%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 513/567 [12:06:09<57:42, 64.13s/it]  
 91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 514/567 [12:07:09<55:42, 63.06s/it]
 91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 515/567 [12:07:49<48:33, 56.03s/it]
 91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 516/567 [12:08:31<43:57, 51.72s/it]
 91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ | 517/567 [12:09:04<38:22, 46.06s/it]
 91%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 518/567 [12:09:29<32:40, 40.01s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 519/567 [12:10:01<30:01, 37.53s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 520/567 [12:10:33<28:00, 35.75s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 521/567 [12:11:17<29:20, 38.28s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 522/567 [12:12:18<33:53, 45.18s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 523/567 [12:12:58<31:54, 43.52s/it]
 92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 524/567 [12:18:51<1:37:47, 136.45s/it]
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 525/567 [12:19:31<1:15:11, 107.41s/it]
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 526/567 [12:20:07<58:47, 86.05s/it]   
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 527/567 [12:21:00<50:48, 76.21s/it]
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 528/567 [12:26:51<1:43:07, 158.65s/it]
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 529/567 [12:27:22<1:16:07, 120.20s/it]
 93%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 530/567 [12:28:28<1:04:05, 103.94s/it]
 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Ž| 531/567 [12:34:21<1:47:08, 178.58s/it]
 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 532/567 [12:34:54<1:18:52, 135.20s/it]
 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 533/567 [12:35:19<57:48, 102.00s/it]  
 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 534/567 [12:35:41<42:55, 78.05s/it] 
 94%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 535/567 [12:36:19<35:07, 65.85s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 536/567 [12:36:57<29:46, 57.62s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 537/567 [12:37:49<27:59, 55.99s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 538/567 [12:38:19<23:12, 48.03s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 539/567 [12:39:55<29:14, 62.67s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 540/567 [12:45:54<1:08:07, 151.37s/it]
 95%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 541/567 [12:47:26<57:57, 133.74s/it]  
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 542/567 [12:48:02<43:23, 104.15s/it]
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 543/567 [12:54:03<1:12:30, 181.25s/it]
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 544/567 [12:54:13<49:45, 129.82s/it]  
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Œ| 545/567 [12:54:58<38:18, 104.46s/it]
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 546/567 [12:55:27<28:39, 81.90s/it] 
 96%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 547/567 [12:55:51<21:32, 64.64s/it]
 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 548/567 [12:56:23<17:18, 54.66s/it]
 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 549/567 [12:56:46<13:36, 45.36s/it]
 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 550/567 [12:57:27<12:27, 43.96s/it]
 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 551/567 [12:58:06<11:17, 42.32s/it]
 97%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹| 552/567 [13:00:25<17:53, 71.57s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 553/567 [13:00:46<13:09, 56.41s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 554/567 [13:01:14<10:21, 47.84s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 555/567 [13:01:48<08:43, 43.66s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 556/567 [13:02:14<07:00, 38.24s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 557/567 [13:03:07<07:07, 42.78s/it]
 98%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 558/567 [13:03:42<06:04, 40.47s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–Š| 559/567 [13:04:41<06:08, 46.08s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 560/567 [13:05:29<05:25, 46.52s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 561/567 [13:05:55<04:01, 40.28s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 562/567 [13:07:10<04:14, 50.81s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 563/567 [13:08:01<03:23, 50.87s/it]
 99%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 564/567 [13:09:06<02:45, 55.07s/it]
100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 565/567 [13:09:41<01:38, 49.06s/it]
100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰| 566/567 [13:10:22<00:46, 46.57s/it]
100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 567/567 [13:10:35<00:00, 36.45s/it]
100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 567/567 [13:10:35<00:00, 83.66s/it]
Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The sound of the shot echoed through the air, and the golden sparrows fell like hail. The iron sand flew through the willow branches, making a sharp, crackling sound.', 'The next morning, before dawn, Liu Erye got up and tidied herself up, then taught the child a few more lines from the board. The five- or six-year-old child, hearing that they were going to be taken into the city to play, was delighted and agreed to everything.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50 metrics: {'meteor': 0.35856456987159074, 'bleu_scores': {'bleu': 0.0842953362186783, 'precisions': [0.3206034768845889, 0.11046267087276551, 0.05228227007991332, 0.027269425274510352], 'brevity_penalty': 1.0, 'length_ratio': 1.2975488572374958, 'translation_length': 39173, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.39517597043521324, 'rouge2': 0.16489139078685883, 'rougeL': 0.34164646980836966, 'rougeLsum': 0.34235665608320837}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
43.771 GB of memory reserved.
Job ID: 76638
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: COMPLETED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 13:08:50
CPU Efficiency: 9.95% of 5-12:06:20 core-walltime
Job Wall-clock time: 13:12:38
Memory Utilized: 3.19 GB
Memory Efficiency: 1.24% of 256.00 GB