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    "info": {
        "author": "Luca Foppiano",
        "author_email": "FOPPIANO.Luca@nims.go.jp",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3.6"
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        "description": "Python client for Grobid Quantities\n===================================\n\n.. image:: http://img.shields.io/:license-apache-blue.svg\n   :target: http://www.apache.org/licenses/LICENSE-2.0.html\n\n.. image:: https://travis-ci.org/hirmeos/entity-fishing-client-python.svg?branch=master\n   :target: https://travis-ci.org/hirmeos/entity-fishing-client-python\n\n\nPython client to query the `Grobid Quantities service API`_\nFor more information about Grobid Quantities, please check the `Grobid Quantities Documentation`_.\n\n.. _Grobid Quantities service API: http://github.com/kermitt2/grobid-quantities\n.. _Grobid Quantities Documentation: http://nerd.readthedocs.io\n\n\nInstallation\n------------\n\nThe client can be installed using `pip`:\n\n   pip install grobid-quantities-python\n\nUsage\n-----\n\nProcess Text / PDF\n##################\n\n.. code-block:: python\n\n    from grobid_quantities.quantities import QuantitiesClient\n    client = QuantitiesClient(apiBase=server_url)\n\n\nTo process raw text:\n\n.. code-block:: python\n\n    client.process_text(\n        \"I lost two minutes\"\n    )\n\nTo process PDF\n\n.. code-block:: python\n\n    client.process_pdf(pdfFile)\n\n\nTo parse the measurements\n\n.. code-block:: python\n\n    client.parse_measures(\"from\": \"10\", \"to\": \"20\", \"unit\": \"km\")\n\n\n\nThe response is a tuple where the first element is the status code and and the second element the response body as a dictionary.\nHere an example: \n\n.. code-block:: python\n\n    (\n        200,\n        {\n          \"runtime\": 123,\n          \"measurements\": [\n            {\n              \"type\": \"value\",\n              \"quantity\": {\n                \"type\": \"time\",\n                \"rawValue\": \"two\",\n                \"rawUnit\": {\n                  \"name\": \"minutes\",\n                  \"type\": \"time\",\n                  \"system\": \"non SI\",\n                  \"offsetStart\": 11,\n                  \"offsetEnd\": 18\n                },\n                \"parsedValue\": {\n                  \"numeric\": 2,\n                  \"structure\": {\n                    \"type\": \"ALPHABETIC\",\n                    \"formatted\": \"two\"\n                  },\n                  \"parsed\": \"two\"\n                },\n                \"normalizedQuantity\": 120,\n                \"normalizedUnit\": {\n                  \"name\": \"s\",\n                  \"type\": \"time\",\n                  \"system\": \"SI base\"\n                },\n                \"offsetStart\": 7,\n                \"offsetEnd\": 11\n              }\n            }\n          ]\n        }\n   )\n\nBatch processing\n######################\nThe batch processing is implemented in the class ``QuantitiesBatch``.\nThe class can be instantiated by defining the entity-fishing url in the constructor, else the default one is used.\n\nTo run the processing, the method `process` requires the `input` directory, a callback and the number of threads/processes.\nThere is an already ready implementation in `script/batchSample.py`.\n\nTo run it:\n - under this work branch, prepare two folders: `input` which containing the input PDF files to be processed and `output` which collecting the processing result\n - we recommend to create a new virtualenv, activate it and install all the requirements needed in this virtual environment using `$ pip install -r /path/of/grobid-quantities-python-client/source/requirements.txt`\n - (temporarly, until this branch is not merged) install entity-fishing **multithread branch** in edit mode (`pip install -e /path/of/client-python/source`)\n - run it with `python runFile.py input output 5`",
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        "keywords": "measurements,text mining,tdm,grobid",
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        "name": "grobid-quantities-client",
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