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            "License :: OSI Approved :: MIT License",
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        "description": "lazyseq: a lazily evaluated sequence type for Python\n----------------------------------------------------\n\n|travis|\n\n**lazyseq** is a simple library implementing a single class, ``LazySeq``, which\nprovides a lazily evaluated sequence that can be used like an immutable list.\nYou can think of it as a Pythonic version of Clojure's\n`Seq <http://clojure.org/sequences>`_. The main use of ``LazySeq`` is for\nwrapping generators or\n`generator expressions <http://legacy.python.org/dev/peps/pep-0289/>`_ to make\nthem persistent, but still lazy.\n\n``LazySeq`` implements Python\u2019s sequence interface, and thus has the methods\n``__getitem__``, ``__len__``, ``__contains__``, ``__iter__``, ``__reversed__``,\n``index``, and ``count``.\n\nGetting an item from a LazySeq is equivalent to getting an items from the\nprovided iterable as a list. However, only the necessary elements of the\niterable are evaluated (all those up to the maximum requested element), and all\nevaluated elements are cached on the ``LazySeq`` so it can be iterated over\nagain. Note that some operations like ``len(seq)`` will by necessity iterate\nover (and thus cache) the entire iterable.\n\nTo use LazySeq, just call ``LazySeq`` on any Python iterable:\n\n.. code:: python\n\n    >>> from lazyseq import LazySeq\n    >>> seq = LazySeq(x ** 2 for x in range(5))\n    >>> seq\n    LazySeq([...])\n    >>> seq[:3]\n    [0, 1, 4]\n    >>> seq\n    LazySeq([0, 1, 4, ...])\n    >>> list(seq)\n    [0, 1, 4, 9, 16]\n    >>> seq\n    LazySeq([0, 1, 4, 9, 16])\n\n.. |travis| image:: https://travis-ci.org/shoyer/lazyseq.png\n    :target: https://travis-ci.org/shoyer/lazyseq\n    :alt: travis-ci build status",
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        "license": "MIT",
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