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        "author": "Kim Hermansson",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries"
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        "description": "# Slinkie \n\nMethod chains for Python 3.6 and up.\n\n- http://segfaultsourcery.com/post/slinkie\n- https://gitlab.com/h4xrk1m/slinkie\n\n## Installation\n\n### Requirements\n\n* Python 3.6 and up\n\n`$ pip install slinkie`\n\n## Usage\n\n### Example\n\nIn this example we have a collection of animals. We go through all of them, and pat only the good dogs.\n\n```python\nfrom slinkie import Slinkie\n\nanimals = [lassie, skippy, scooby, cerberus, garfield]\n\n(\n    Slinkie(animals)\n        .filter(lambda animal: animal.type == 'dog')\n        .filter(lambda dog: dog.is_good)\n        .map(lambda dog: dog.pat())\n        .consume()\n)\n```\n\nIn this example we have a collection of animals. We go through and select only the good dogs, and collect them in a list.\n\n``` python\nfrom slinkie import Slinkie\n\nanimals = [lassie, skippy, scooby, cerberus, garfield]\n\ngood_dogs = (\n    Slinkie(animals)\n        .filter(lambda animal: animal.type == 'dog')\n        .filter(lambda dog: dog.is_good)\n        .list() \n)\n```\n\n### Functions\n\n- `all(key=None)`: Consumes the whole slinkie to find if every item is truthy.\n- `any(key=None)`: Consumes the slinkie until it finds a truthy item.\n- `between(a, b, key=None)`: Returns items between a and b. (Inclusive).\n- `consume(n=None)`: Consume n items. If n is None, consume everything.\n- `count()`: Consumes all items to produce a count.\n- `dict(key, transform=None)`: Returns a dict of all items.\n- `exclude(items, key=None)`: Excludes all items based on either their identity, or a key function.\n- `extend(items)`: Yields all the items from this._items, followed by the items supplied to this function.\n- `filter(key)`: Filter the items.\n- `first(key=None)`: Take the first item if key is None, otherwise take the first item where key(item) returns true. If there are no objects, StopIteration is raised.\n- `first_or_none(key=None)`: Take the first item if key is None, otherwise take the first item where key(item) returns true. If there are no objects, None is returned.\n- `flatten()`: Flatten a two-dimensional result set into a single dimension.\n- `foldl(fn, default=None)`: Fold left. Same as reduce.\n- `foldr(fn, default=None)`: Fold right.\n- `group(key)`: Groups all items on key.\n- `intersperse(divider)`: Intersperses the items with the divider. Slinkie([1, 2, 3]).intersperse('x').list() -> [1, 'x', 2, 'x', 3].\n- `intersperse_items(dividers)`: Intersperses the items with the dividers, one by one. Slinkie([1, 2, 3, 4, 5]).intersperse_items(['x', 'y']).list() -> [1, 'x', 2, 'y', 3, 'x', 4, 'y', 5].\n- `join(glue='')`: Joins the items by glue, where glue is a string. Calls glue.join.\n- `last(key=None)`: Take the last item if key is None, otherwise take the first item where key(item) returns true. If there are no objects, StopIteration is raised.\n- `last_or_none(key=None)`: Take the last item if key is None, otherwise take the last item where key(item) returns true. If there are no matching objects, None is returned.\n- `len()`: Consumes all items to produce a count.\n- `list()`: Returns a list of all items.\n- `map(transform, with_index=False)`: Map the items.\n- `not_none()`: Returns all items except None.\n- `parallelize(fn, number_of_threads=None)`: Parallelize a function call. Number of threads defaults to your cpu count + 1.\n- `partition(n)`: Takes n items and returns them in a new Slinkie. Does so until the items are consumed.\n- `reduce(fn, default=None)`: Fold left. Same as reduce.\n- `reverse()`: Reverses the order of the Slinkie.\n- `select(transform, with_index=False)`: Map the items.\n- `set()`: Returns a set of all items.\n- `sfilter(key)`: Filter the items, uses the splat operator on the key function, just like smap.\n- `skip(n)`: Skip n items.\n- `smap(transform)`: Map the splat of the items.\n- `sort(key=None, reverse=False)`: Sorts the items by key.\n- `split(number_of_slinkies=2)`: Split the items into smaller slinkies. Items are divided using round robin.\n- `str(glue='')`: Joins the items by glue, where glue is a string. Calls glue.join.\n- `sweep(width, step=1)`: Similar to itertools' pairwise, this will hand out _width_ number of items at a time, with an offset of _step_. Slinkie(range(11)).sweep(2) yields the same result as itertools.pairwise, while .sweep(3) would give you (0, 1, 2), (1, 2, 3), ... (8, 9, 10). The last item may be None-padded if there were not _step_ items left in the Slinkie.\n- `take(n)`: Take n items.\n- `tee(display=None)`: Every item that falls through the tee function will be displayed using the display function. If none is supplied, print is used.\n- `then(fn)`: Takes a function that takes a slinkie as its only argument, and returns a collection. The collection is then wrapped in another slinkie.\n- `transpose()`: Transposes the contents of a Slinkie.\n- `tuple()`: Returns a tuple of all items.\n- `unique(key=None)`: Filter out items that aren't considered unique. You can optionally supply a key function to determine the identity.\n- `where(key)`: Filter the items.\n\n## Development\n\nThere are no external dependencies at all, by design. I still recommend making a virtualenv to work in, however.\n\n```\n$ virtualenv venv\n$ source venv/bin/activate\n$ pip install -e .\n```\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.\n\nPlease make sure to update (or write) tests as appropriate.\n\n## License\n\n[BSD 2-Clause License](https://tldrlegal.com/license/bsd-2-clause-license-(freebsd))\n\n",
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