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    "info": {
        "author": "Vincenzo Arcidiacono",
        "author_email": "vinci1it2000@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: European Union Public Licence 1.1 (EUPL 1.1)",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
        ],
        "description": ".. _start-intro:\n\n\nWhat is formulas?\n*****************\n\n**formulas** implements an interpreter for Excel formulas, which\nparses and compile Excel formulas expressions.\n\nMoreover, it compiles Excel workbooks to python and executes without\nusing the Excel COM server. Hence, **Excel is not needed**.\n\n\nInstallation\n************\n\nTo install it use (with root privileges):\n\n::\n\n   $ pip install formulas\n\nOr download the last git version and use (with root privileges):\n\n::\n\n   $ python setup.py install\n\n\nInstall extras\n==============\n\nSome additional functionality is enabled installing the following\nextras:\n\n* excel: enables to compile Excel workbooks to python and execute\n   using: ``ExcelModel``.\n\n* plot: enables to plot the formula ast and the Excel model.\n\nTo install formulas and all extras, do:\n\n::\n\n   $ pip install formulas[all]\n\n.. _end-quick:\n\n\nBasic Examples\n**************\n\nThe following sections will show how to:\n\n* parse a Excel formulas;\n\n* load, compile, and execute a Excel workbook;\n\n* extract a sub-model from a Excel workbook;\n\n* add a custom function.\n\n\nParsing formula\n===============\n\nAn example how to parse and execute an Excel formula is the following:\n\n>>> import formulas\n>>> func = formulas.Parser().ast('=(1 + 1) + B3 / A2')[1].compile()\n\nTo visualize formula model and get the input order you can do the\nfollowing:\n\n..\n\n   >>> list(func.inputs)\n   ['A2', 'B3']\n   >>> func.plot(view=False)  # Set view=True to plot in the default browser.\n   SiteMap([(=((1 + 1) + (B3 / A2)), SiteMap())])\n\n   [graph]\n\nFinally to execute the formula and plot the workflow:\n\n..\n\n   >>> func(1, 5)\n   Array(7.0, dtype=object)\n   >>> func.plot(workflow=True, view=False)  # Set view=True to plot in the default browser.\n   SiteMap([(=((1 + 1) + (B3 / A2)), SiteMap())])\n\n   [graph]\n\n\nExcel workbook\n==============\n\nAn example how to load, calculate, and write an Excel workbook is the\nfollowing:\n\n::\n\n   >>> import formulas\n   >>> fpath, dir_output = 'excel.xlsx', 'output'  \n   >>> xl_model = formulas.ExcelModel().loads(fpath).finish()\n   >>> xl_model.calculate()\n   Solution(...)\n   >>> xl_model.write(dirpath=dir_output)\n   {'EXCEL.XLSX': {Book: <openpyxl.workbook.workbook.Workbook ...>}}\n\nTip: If you have or could have **circular references**, add\n   *circular=True* to *finish* method.\n\nTo plot the dependency graph that depict relationships between Excel\ncells:\n\n..\n\n   >>> dsp = xl_model.dsp\n   >>> dsp.plot(view=False)  # Set view=True to plot in the default browser.\n   SiteMap([(ExcelModel, SiteMap())])\n\n   [graph]\n\nTo overwrite the default inputs that are defined by the excel file or\nto impose some value to a specific cell:\n\n>>> xl_model.calculate(\n...     inputs={\n...         \"'[EXCEL.XLSX]DATA'!A2\": 3,  # To overwrite the default value.\n...         \"'[EXCEL.XLSX]DATA'!B3\": 1  # To impose a value to B3 cell.\n...     },\n...     outputs=[\n...        \"'[EXCEL.XLSX]DATA'!C2\", \"'[EXCEL.XLSX]DATA'!C4\"\n...     ] # To define the outputs that you want to calculate.\n... )\nSolution([(\"'[EXCEL.XLSX]DATA'!A2\", <Ranges>('[EXCEL.XLSX]DATA'!A2)=[[3]]),\n          (\"'[EXCEL.XLSX]DATA'!A3\", <Ranges>('[EXCEL.XLSX]DATA'!A3)=[[6]]),\n          (\"'[EXCEL.XLSX]DATA'!B3\", <Ranges>('[EXCEL.XLSX]DATA'!B3)=[[1]]),\n          (\"'[EXCEL.XLSX]DATA'!B2\", <Ranges>('[EXCEL.XLSX]DATA'!B2)=[[9.0]]),\n          (\"'[EXCEL.XLSX]DATA'!C2\", <Ranges>('[EXCEL.XLSX]DATA'!C2)=[[9.0]]),\n          (\"'[EXCEL.XLSX]DATA'!C4\", <Ranges>('[EXCEL.XLSX]DATA'!C4)=[[1.0]])])\n\nTo build a single function out of an excel model with fixed inputs and\noutputs, you can use the *compile* method of the *ExcelModel* that\nreturns a `DispatchPipe\n<https://schedula.readthedocs.io/en/master/_build/schedula/utils/dsp/schedula.utils.dsp.DispatchPipe.html#schedula.utils.dsp.DispatchPipe>`_.\nThis is a function where the inputs and outputs are defined by the\ndata node ids (i.e., cell references).\n\n..\n\n   >>> func = xl_model.compile(\n   ...     inputs=[\n   ...         \"'[EXCEL.XLSX]DATA'!A2\",  # First argument of the function.\n   ...         \"'[EXCEL.XLSX]DATA'!B3\"   # Second argument of the function.\n   ...     ], # To define function inputs.\n   ...     outputs=[\n   ...         \"'[EXCEL.XLSX]DATA'!C2\", \"'[EXCEL.XLSX]DATA'!C4\"\n   ...     ] # To define function outputs.\n   ... )\n   >>> func\n   <schedula.utils.dsp.DispatchPipe object at ...>\n   >>> [v.value[0, 0] for v in func(3, 1)]  # To retrieve the data.\n   [9.0, 1.0]\n   >>> func.plot(view=False)  # Set view=True to plot in the default browser.\n   SiteMap([(ExcelModel, SiteMap())])\n\n   [graph]\n\n\nCustom functions\n================\n\nAn example how to add a custom function to the formula parser is the\nfollowing:\n\n>>> import formulas\n>>> FUNCTIONS = formulas.get_functions()\n>>> FUNCTIONS['MYFUNC'] = lambda x, y: 1 + y + x\n>>> func = formulas.Parser().ast('=MYFUNC(1, 2)')[1].compile()\n>>> func()\n4\n\n\n",
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        "keywords": "python,utility,library,excel,formulas,processing,calculation,dependencies,resolution,scientific,engineering,dispatch,compiling",
        "license": "EUPL 1.1+",
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        "name": "formulas",
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