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Update mcp_output/requirements.txt

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  1. mcp_output/requirements.txt +33 -43
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- # MatDeepLearn MCP Service Requirements
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-
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- # Core MCP Framework
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- fastmcp>=0.1.0
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-
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- # PyTorch - CPU version for HuggingFace Space (lighter weight)
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- --extra-index-url https://download.pytorch.org/whl/cpu
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- torch>=2.0.0
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-
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- # PyTorch Geometric
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- torch-scatter
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- torch-sparse
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- torch-cluster
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- torch-spline-conv
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- torch-geometric>=2.0.0
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-
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- # Scientific Computing
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- numpy>=1.20.0
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- scipy>=1.6.0
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- scikit-learn>=0.24.0
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-
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- # Materials Science
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- ase>=3.20.0
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- pymatgen>=2022.0.0
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-
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- # Descriptors (optional, for SOAP/SM models)
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- dscribe>=1.0.0
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-
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- # Configuration
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- pyyaml>=5.4.0
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-
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- # Visualization (optional)
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- matplotlib>=3.1.0
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-
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- # Hyperparameter Optimization (optional)
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- ray[tune]>=2.0.0
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-
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- # Utilities
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- joblib>=0.13.0
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-
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- # HTTP Server
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- uvicorn>=0.20.0
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- starlette>=0.25.0
 
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+ # MatDeepLearn MCP Service Requirements
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+
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+ # Core MCP Framework
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+ fastmcp>=2.0.0
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+
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+ # PyTorch - CPU version for HuggingFace Space
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+ torch>=2.0.0
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+
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+ # PyTorch Geometric - 使用预编译的 wheel
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+ # 注意:torch-scatter, torch-sparse 等需要在 Dockerfile 中单独安装
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+ torch-geometric>=2.0.0
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+
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+ # Scientific Computing
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+ numpy>=1.20.0
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+ scipy>=1.6.0
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+ scikit-learn>=0.24.0
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+
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+ # Materials Science
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+ ase>=3.20.0
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+ pymatgen>=2022.0.0
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+
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+ # Configuration
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+ pyyaml>=5.4.0
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+
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+ # Visualization (optional)
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+ matplotlib>=3.1.0
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+
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+ # Utilities
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+ joblib>=0.13.0
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+
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+ # HTTP Server
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+ uvicorn>=0.20.0
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+ starlette>=0.25.0