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    "info": {
        "author": "Michael R. Shannon",
        "author_email": "mrshannon.aerospace@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries"
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        "description": "dataclass-builder\n=================\n\n|build-status|\n|doc-status|\n|coverage-status|\n|code-style|\n|version|\n|supported-versions|\n|status|\n|license|\n\nCreate instances of Python dataclasses with the builder pattern.\n\n\nRequirements\n------------\n\n* Python 3.6 or greater\n* dataclasses_ if using Python 3.6\n\n\nInstallation\n------------\n\n`dataclass-builder` is on PyPI_ so the easiest way to install it is:\n\n.. code-block:: text\n\n    $ pip install dataclass-builder\n\n\nUsage\n-----\n\nThere are two ways to use `dataclass-builder`.  Via a builder instance or by creating a dedicated builder.  The latter is recommended when repeated building of a given dataclass is desired or when docstrings and type checking are important.\n\n\nDedicated Builder (builder factory)\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nUsing specialized builders allows for better documentation than the `DataclassBuilder` wrapper.\n\n.. code-block:: python\n\n    from dataclasses import dataclass\n    from dataclass_builder import (dataclass_builder, build, fields, update\n                                   REQUIRED, OPTIONAL)\n\n    @dataclass\n    class Point:\n        x: float\n        y: float\n        w: float = 1.0\n\n    PointBuilder = dataclass_builder(Point)\n\nNow we can build a point.\n\n.. code-block:: python\n\n    >>> builder = PointBuilder()\n    >>> builder.x = 5.8\n    >>> builder.y = 8.1\n    >>> builder.w = 2.0\n    >>> build(builder)\n    Point(x=5.8, y=8.1, w=2.0)\n\nAs long as the dataclass_ the builder was constructed for does not have a `build` field then a `build` method will be generated as well.\n\n    >>> builder.build()\n    Point(x=5.8, y=8.1, w=2.0)\n\nField values can also be provided in the constructor.\n\n.. code-block:: python\n\n    >>> builder = PointBuilder(x=5.8, w=100)\n    >>> builder.y = 8.1\n    >>> builder.build()\n    Point(x=5.8, y=8.1, w=100)\n\n*Positional arguments are not allowed.*\n\nFields with default values in the dataclass_ are optional in the builder.\n\n.. code-block:: python\n\n    >>> builder = PointBuilder()\n    >>> builder.x = 5.8\n    >>> builder.y = 8.1\n    >>> builder.build()\n    Point(x=5.8, y=8.1, w=1.0)\n\nFields that don't have default values in the dataclass_ are not optional.\n\n.. code-block:: python\n\n    >>> builder = PointBuilder()\n    >>> builder.y = 8.1\n    >>> builder.build()\n    Traceback (most recent call last):\n    ...\n    MissingFieldError: field 'x' of dataclass 'Point' is not optional\n\nFields not defined in the dataclass cannot be set in the builder.\n\n.. code-block:: python\n\n    >>> builder.z = 3.0\n    Traceback (most recent call last):\n    ...\n    UndefinedFieldError: dataclass 'Point' does not define field 'z'\n\n*No exception will be raised for fields beginning with an underscore as they are reserved for use by subclasses.*\n\nAccessing a field of the builder before it is set gives either the `REQUIRED` or `OPTIONAL` constant\n\n.. code-block:: python\n\n    >>> builder = PointBuilder()\n    >>> builder.x\n    REQUIRED\n    >>> builder.w\n    OPTIONAL\n\nThe `fields` method can be used to retrieve a dictionary of settable fields for the builder.  This is a mapping of field names to `dataclasses.Field` objects from which extra data can be retrieved such as the type of the data stored in the field.\n\n.. code-block:: python\n\n    >>> list(builder.fields().keys())\n    ['x', 'y', 'w']\n    >>> [f.type.__name__ for f in builder.fields().values()]\n    ['float', 'float', 'float']\n\nA subset of the fields can be also be retrieved, for instance, to only get required fields:\n\n.. code-block:: python\n\n    >>> list(builder.fields(optional=False).keys())\n    ['x', 'y']\n\nor only the optional fields.\n\n.. code-block:: python\n\n    >>> list(builder.fields(required=False).keys())\n    ['w']\n\n\nIf the underlying dataclass_ has a field named `fields` this method will not be generated and instead the `fields` function should be used instead.\n\nAn already built dataclass_ can be updated with a partially completed builder using the :code:`update` function.\n\n.. code-block:: python\n\n    >>> point = Point(x=5.8, y=8.1, w=100)\n    >>> update(point, PointBuilder(y=1.1))\n    >>> point\n    Point(x=5.8, y=1.1, w=100)\n\n*Dataclass builders can also be updated, but frozen dataclasses cannot.*\n\n\nBuilder Instance (generic wrapper)\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nUsing a builder instance is the fastest way to get started with the `dataclass-builder` package.\n\n.. code-block:: python\n\n    from dataclasses import dataclass\n    from dataclass_builder import (DataclassBuilder, build, fields,\n                                   REQUIRED, OPTIONAL)\n\n    @dataclass\n    class Point:\n        x: float\n        y: float\n        w: float = 1.0\n\nNow we can build a point.\n\n.. code-block:: python\n\n    >>> builder = DataclassBuilder(Point)\n    >>> builder.x = 5.8\n    >>> builder.y = 8.1\n    >>> builder.w = 2.0\n    >>> build(builder)\n    Point(x=5.8, y=8.1, w=2.0)\n\nField values can also be provided in the constructor.\n\n.. code-block:: python\n\n    >>> builder = DataclassBuilder(Point, x=5.8, w=100)\n    >>> builder.y = 8.1\n    >>> build(builder)\n    Point(x=5.8, y=8.1, w=100)\n\n.. note::\n\n    Positional arguments are not allowed, except for the dataclass_ itself.\n\nFields with default values in the dataclass_ are optional in the builder.\n\n.. code-block:: python\n\n    >>> builder = DataclassBuilder(Point)\n    >>> builder.x = 5.8\n    >>> builder.y = 8.1\n    >>> build(builder)\n    Point(x=5.8, y=8.1, w=1.0)\n\nFields that don't have default values in the dataclass_ are not optional.\n\n.. code-block:: python\n\n    >>> builder = DataclassBuilder(Point)\n    >>> builder.y = 8.1\n    >>> build(builder)\n    Traceback (most recent call last):\n    ...\n    MissingFieldError: field 'x' of dataclass 'Point' is not optional\n\nFields not defined in the dataclass cannot be set in the builder.\n\n.. code-block:: python\n\n    >>> builder.z = 3.0\n    Traceback (most recent call last):\n    ...\n    UndefinedFieldError: dataclass 'Point' does not define field 'z'\n\n.. note::\n\n    No exception will be raised for fields beginning with an underscore as they are reserved for use by subclasses.\n\nAccessing a field of the builder before it is set gives either the `REQUIRED` or `OPTIONAL` constant\n\n.. code-block:: python\n\n    >>> builder = DataclassBuilder(Point)\n    >>> builder.x\n    REQUIRED\n    >>> builder.w\n    OPTIONAL\n\nThe `fields` function can be used to retrieve a dictionary of settable fields for the builder.  This is a mapping of field names to `dataclasses.Field` objects from which extra data can be retrieved such as the type of the data stored in the field.\n\n.. code-block:: python\n\n    >>> list(fields(builder).keys())\n    ['x', 'y', 'w']\n    >>> [f.type.__name__ for f in fields(builder).values()]\n    ['float', 'float', 'float']\n\nA subset of the fields can be also be retrieved, for instance, to only get required fields:\n\n.. code-block:: python\n\n    >>> list(fields(builder, optional=False).keys())\n    ['x', 'y']\n\nor only the optional fields.\n\n.. code-block:: python\n\n    >>> list(fields(builder, required=False).keys())\n    ['w']\n\n\n\n.. _dataclass: https://github.com/ericvsmith/dataclasses\n.. _dataclasses: https://github.com/ericvsmith/dataclasses\n.. _PyPI: https://pypi.org/\n\n.. |build-status| image:: https://travis-ci.com/mrshannon/dataclass-builder.svg?branch=master&style=flat\n    :target: https://travis-ci.com/mrshannon/dataclass-builder\n    :alt: Build status\n\n.. |doc-status| image:: https://readthedocs.org/projects/dataclass-builder/badge/?version=latest\n   :target: https://dataclass-builder.readthedocs.io/en/latest/\n   :alt: Documentation status\n\n.. |coverage-status| image:: https://codecov.io/gh/mrshannon/dataclass-builder/coverage.svg?branch=master\n    :target: https://codecov.io/gh/mrshannon/dataclass-builder?branch=master\n    :alt: Test coverage\n\n.. |code-style| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n    :target: https://github.com/psf/black\n    :alt: Code style is black\n\n.. |version| image:: https://img.shields.io/pypi/v/dataclass-builder.svg\n    :alt: PyPI Package latest release\n    :target: https://pypi.python.org/pypi/dataclass-builder\n\n.. |status| image:: https://img.shields.io/pypi/status/dataclass-builder.svg\n    :alt: Status\n    :target: https://pypi.python.org/pypi/dataclass-builder\n\n.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/dataclass-builder.svg\n    :alt: Supported versions\n    :target: https://pypi.python.org/pypi/dataclass-builder\n\n.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/dataclass-builder.svg\n    :alt: Supported implementations\n    :target: https://pypi.python.org/pypi/dataclass-builder\n\n.. |license| image:: https://img.shields.io/github/license/mrshannon/dataclass-builder.svg\n    :alt: MIT\n    :target: https://opensource.org/licenses/MIT\n\n\n\n",
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