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    "info": {
        "author": "Zhang Zai",
        "author_email": "zhangzai1998@126.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# leen\n\nA package to judge whether a EBI code correspond to a sentence\n\n## Requirements\n\n- torch 8\n- Python >= 3.5\n\n## Installation\nYou can use pip to install our package, similar to other packages\n\n```bash\npip3 install leen\n```\n\n```python\nimport leen.test as le\nle.same(EBI-id, sentence) #note that both parameters should be enclosed in quotations when typing pure string\nle.description(EBI-id) #also, EBI-id should be quotated\n```\n\n## Usage\n* description(EBI-id)\n\t* a fuction getting the description corresponding to idcode\n\t* input:str EBI-id\n\t* return:str description\n\n* same(EBI-id, sentence)\n\t* a function judging whether a EBI-id correspond to a description\uff0creturn True/False \n    * input:str idcode,str sentence\n\t* output:bool True/False\n\n## Note\n* parameters should be enclosed in quotations when typing pure string\n* `torch 8` is Indispensable when using our package\n\n## FAQ\n* What is `EBI-id` in the description of `usage` above?\n    * It is the accession number of the interaction in the IntAct database.\n\n* How can I contribute to the project?\n\t* Our project is on \"https://gitlab.com/BioAI/leen\" ,your contribution is highly appreciated.\n\n",
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        "summary": "A package to judge whether a EBI code correspond to a sentence",
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