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    "info": {
        "author": "Maxim Millen",
        "author_email": "mmi46@uclive.ac.nz",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering"
        ],
        "description": ".. image:: https://travis-ci.org/eng-tools/sfsimodels.svg?branch=master\n   :target: https://travis-ci.org/eng-tools/sfsimodels\n   :alt: Testing Status\n\n.. image:: https://img.shields.io/pypi/v/sfsimodels.svg\n   :target: https://pypi.python.org/pypi/sfsimodels\n   :alt: PyPi version\n   \n.. image:: https://coveralls.io/repos/github/eng-tools/sfsimodels/badge.svg\n   :target: https://coveralls.io/github/eng-tools/sfsimodels\n\n.. image:: https://img.shields.io/badge/license-MIT-blue.svg\n    :target: https://github.com/eng-tools/sfsimodels/blob/master/LICENSE\n    :alt: License\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.2596721.svg\n    :target: https://doi.org/10.5281/zenodo.2596721\n\n\n**********\nsfsimodels\n**********\n\nA set of python objects to represent physical objects for assessing structural and geotechnical problems\n\nAttempting to solve the `Liskov Substitution Principle <https://en.wikipedia.org/wiki/Liskov_substitution_principle>`_\nproblem for combining independently developed source\ncode in the fields of structural and geotechnical engineering.\n\nModels represent states of physical objects, currently can not represent dynamic/changing states.\n\nModel inheritance system\n========================\n\nEvery object contains a `type`, a `base_type` and a list of `ancestor_types`.\n\n - `type` is the current type of the class or instance of the class\n - `base_type` is what class should be considered as for standard operations such as saving and loading.\n - `ancestor_types` is a list of the `type` of the ancestors of the class\n\n\nGeneration of new custom models\n===============================\n\nIt is easiest to create a new object by inheriting from `sm.CustomObject`, as this contains the default parameters\nneeded for loading and saving the model.\n\nIf you chose not to use the default custom object, you must set the object `base_type` parameter to `\"custom_object\"`.\n\nLoading a custom object\n=======================\n\npass a dictionary to the `custom_object` parameter in the `sm.load_json` function, where the dictionary contains:\n`custom={\"<base_type>-<type>\": Object}`.\n\n\nInstallation\n============\n\n.. code:: bash\n\n    pip install sfsimodels\n\nCiting\n======\n\nPlease use the following citation:\n\nMillen M. D. L. (2019) Sfsimodels <version-number> - A set of standard models for assessing structural and geotechnical problems,\nhttps://pypi.org/project/sfsimodels/, doi: 10.5281/zenodo.2596721\n\nSaving and loading models\n=========================\n\nCheck out a full set of examples [on github](https://github.com/eng-tools/sfsimodels/blob/master/examples/saving_and_loading_objects.ipynb)\n\n.. code-block:: python\n\n    structure = models.Structure()  # Create a structure object\n    structure.id = 1  # Assign it an id\n    structure.name = \"sample building\"  # Assign it a name and other parameters\n    structure.h_eff = 10.0\n    structure.t_fixed = 1.0\n    structure.mass_eff = 80000.\n    structure.mass_ratio = 1.0  # Set vertical and horizontal masses are equal\n\n    ecp_output = files.Output()  # Create an output object\n    ecp_output.add_to_dict(structure)  # Add the structure to the output object\n    ecp_output.name = \"test data\"\n    ecp_output.units = \"N, kg, m, s\"  # Set the units\n    ecp_output.comments = \"\"\n\n    p_str = json.dumps(ecp_output.to_dict(), skipkeys=[\"__repr__\"], indent=4)  # Assign it to a json string\n    objs = files.loads_json(p_str)  # Load a json string and convert to a dictionary of objects\n    assert ct.isclose(structure.mass_eff, objs['buildings'][1].mass_eff)  # Access the object\n\n\nHow do I get set up?\n====================\n\n1. Run ``pip install -r requirements.txt``\n\nTesting\n=======\n\nTests are run with pytest\n\n* Locally run: ``pytest`` on the command line.\n\n* Tests are run on every push using travis, see the ``.travis.yml`` file\n\n\nDeployment\n==========\n\nTo deploy the package to pypi.com you need to:\n\n 1. Push to the *pypi* branch. This executes the tests on circleci.com\n\n 2. 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