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        "description": "# MR Streams\n\nMR Streams is a python utility for composing iterable map reduce filter chains  \n\n### Goals:  \nThe goals of this library are relatively simple:  \n- provide a stream composition syntax that supports chaining map,reduce,filter operations \n- a stream object should still look and feel like a list/iterable  \n- a stream should have options for delayed evaluation of the stream  \n- to support future changes regarding how composition  \n\n### Pronunciation:  \n\n- \"Mister Streams\" for fun\n- \"M-R-Streams\" to sound professional  \n\n### Supported operations  \n\n- `map` - applies functions to values in iterable with a built-in option for partial evaluation. \n  ```python\n    from operator import add\n\n    [*mr(range(10)).map(add, 1)] \n\n    >>[1,2,3,4,5,6,7,8,9,10]\n  ```\n- `filter` - applies a boolean function to values emitted in the chain. If the condition is true, the values are emitted further down the chain.       \n    ```python\n    is_even = lambda x: x % 2 == 0  \n\n    [*mr(range(10)).filter(is_even)]  \n\n    >>[0, 2,4,6,8]\n    ```  \n\n- `reduce` - reduce iterates through all objects and reduces them using a reduction function.   \n   ```python\n   mr(range(10)).reduce(sum) \n\n   >> 45\n   ```\n\n- `take` - limits the number of values emitted in the stream.  \n    ```python\n      [*mr(range(10)).take(3)]  \n\n      >>[0,1,2] \n    ```\n\n- `tap` - applies a function passively to the stream without altering emitted values.   \n    ```python\n    mr(range(4)).tap(print).reduce(sum)\n\n  >> 0\n  >> 1\n  >> 2\n  >> 3\n  >> 6\n    ```    \n\n- `drain` - runs a no-op iteration that depletes the stream. \n  ```python\n  mr(range(4)).tap(print).drain()  \n\n   >> 0\n   >> 1\n   >> 2\n   >> 3    \n   ```  \n\n- `chunk` - groups items in a stream into groups of size `n`\n\n    ```python\n    mr(range(4)).chunk(2).tap(print).drain()  \n\n    >> [0,1]\n    >> [2,3]\n\n    ```\n\n\n\n",
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