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        "author": "Aric Coady",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "[![image](https://img.shields.io/pypi/v/placeholder.svg)](https://pypi.org/project/placeholder/)\n[![image](https://img.shields.io/pypi/pyversions/placeholder.svg)](https://python3statement.org)\n![image](https://img.shields.io/pypi/status/placeholder.svg)\n[![image](https://img.shields.io/travis/coady/placeholder.svg)](https://travis-ci.org/coady/placeholder)\n[![image](https://img.shields.io/codecov/c/github/coady/placeholder.svg)](https://codecov.io/github/coady/placeholder)\n[![image](https://readthedocs.org/projects/placeholder/badge)](https://placeholder.readthedocs.io)\n[![image](https://requires.io/github/coady/placeholder/requirements.svg)](https://requires.io/github/coady/placeholder/requirements/)\n[![image](https://api.codeclimate.com/v1/badges/3d859b1e30ffac79f10e/maintainability)](https://codeclimate.com/github/coady/placeholder/maintainability)\n\nA `placeholder` uses operator overloading to create partially bound functions on-the-fly.\nWhen used in a binary expression, it will return a callable object with the other argument bound.\nIt's useful for replacing `lambda` in functional programming, and resembles Scala's placeholders.\n\n# Usage\n```python\nfrom placeholder import _     # single underscore\n\n_.age < 18     # lambda obj: obj.age < 18\n_[key] ** 2    # lambda obj: obj[key] ** 2\n```\n\nNote interactive shells use `_` as the previous output, so assign to a different name as needed.\n\n`_` is a singleton of an `F` class, and `F` expressions can also be used with functions.\n\n```python\nfrom placeholder import F\n\n-F(len)        # lambda obj: -len(obj)\n```\n\nAll applicable double underscore methods are supported.\n\n# Performance\nEvery effort is made to optimize the placeholder instance.\nIt's 20-40x faster than similar libraries on PyPI.\n\nHowever, there is slight overhead (in CPython) in making an object callable.\nPlaceholders with single operators can access the `func` attribute directly for optimal performance.\n\n```python\n_.age.func         # operator.attrgetter('age')\n_[key].func        # operator.itemgetter(key)\n```\n\nPerformance should generally be comparable to inlined expressions,\nand faster than lambda. Below are some example benchmarks.\n\n```python\nmin(data, key=operator.itemgetter(-1))    # 22.7 ms\nmin(data, key=_[-1])                      # 25.9 ms\nmin(data, key=lambda x: x[-1])            # 27.2 ms\n```\n\n# Installation\n\n    $ pip install placeholder\n\n# Tests\n100% branch coverage.\n\n    $ pytest [--cov]\n\n# Changes\n1.0\n* Removed `__` (double underscore)\n* Variable arguments of first function\n* Method callers and multi-valued getters\n\n0.7\n* Deprecated `__` (double underscore)\n\n0.6\n* Optimized composite functions\n* Renamed to `_` (single underscore) for consistency\n\n0.5\n* Unary operators\n* `__call__` implements `methodcaller`\n* `__getitem__` supports only single argument\n* Improved error handling\n* `composer` object deprecated in favor of optimized `F` expression\n\n\n",
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