{
    "info": {
        "author": "Jo\u00e3o Pinto",
        "author_email": "lamego.pinto@gmail.com",
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            "Development Status :: 1 - Planning",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: System Administrators",
            "License :: Freely Distributable",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.7",
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            "Topic :: Utilities"
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        "description": "# dinterpol\n\n[![PyPI Version][pypi-v-image]][pypi-v-link]\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)\n---\n\ndinterpol is a python library for data interpolation that supports both scalar and structured types generation.\n\n\n## Motivation\nWhen dealing with structured data types like dictionaries, or data formats like JSON and YAML it can be useful to generate scalar or structured types resulting from the interpolation of multiple input elements. Python3 provides several standard string interpolation mechanisms: [string.Template()], [f-strings] and [str.format()], but because they all return strings, they are not suitable for structured with non string data interpolation.\n\n\n[string.Template()]: https://docs.python.org/3/library/string.html#string.Template\n[f-strings]: https://docs.python.org/3/reference/lexical_analysis.html#f-strings\n[str.format()]: https://docs.python.org/3/library/stdtypes.html#str.format\n\nUsage example:\n\n```python\nfrom dinterpol import Template\n\ndata = {\n    \"product\": \"pie\",\n    \"quantity\": 33,\n    \"price\": 14,\n    \"details\": { \"size\": 10, \"flavour\": \"orange\"}\n}\n\n# simple key interpolation for string generation\nTemplate(\"We have $quantity$ $product$(s)\").render(data)\n'We have 33 pie(s)'\n\n# python expression for string generation, expression result concatnated with string\nTemplate(\"Total price is $quantity * price$\").render(data)\n'Total price is 426'\n\n# python expression for dict generation, type inferred directly from expression's eval()\nTemplate({ \"total\": \"$quantity * price$\"}).render(data)\n{'total': 426}\n\n# Use attribute style references for key access\nTemplate(\"$details.size$\").render(data)\n10\n\n```\n\n\n## Code of Conduct\n\nEveryone interacting in the dinterpol project's codebase, issue trackers, chat\nrooms, and mailing lists is expected to follow the [PyPA Code of Conduct].\n\n\n[appveyor-image]: https://img.shields.io/appveyor/ci/d0ugal/Openpipe/master.svg\n[appveyor-link]: https://ci.appveyor.com/project/d0ugal/Openpipe\n[codecov-image]: http://codecov.io/github/Openpipe/dinterpol/coverage.svg?branch=master\n[codecov-link]: http://codecov.io/github/Openpipe/dinterpol?branch=master\n[landscape-image]: https://landscape.io/github/Openpipe/dinterpol/master/landscape.svg?style=flat\n[landscape-link]: https://landscape.io/github/Openpipe/dinterpol/master\n[pypi-v-image]: https://img.shields.io/pypi/v/dinterpol.svg\n[pypi-v-link]: https://pypi.org/project/dinterpol/\n[travis-image]: https://img.shields.io/travis/Openpipe/dinterpol/master.svg\n[travis-link]: https://travis-ci.org/Openpipe/dinterpol\n\n[dinterpol]: https://dinterpol.Openpipe.org\n[PyPA Code of Conduct]: https://www.pypa.io/en/latest/code-of-conduct/\n\n\n",
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