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            "Programming Language :: Python",
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            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
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        "description": "pype: command-line pipes in Python\n####################################\n\nUsage\n=====\n\nBasics\n~~~~~~\n\n\nAt the command prompt, use ``pype`` to act on each item in the file with python commands: ::\n\n  $ pype map x.upper() <<<'abc'\n  ABC\n\n\nChain python functions together with ``!``: ::\n\n  $ pype map 'x.upper() ! len(x)' <<<hello\n  5\n\nor by adding another command like  ``map <pipeline>`` ::\n\n   $ pype map 'x.upper()' map 'len(x)' <<<hello\n   5\n\n\nUse ``x`` as a placeholder for the input at each stage: ::\n\n  $ pype map ' x.split()[0] ! x.upper() + \"!\"' <<<'Hello world'\n  HELLO!\n\n  $ pype map 'x.split()[0] ! x.upper() + \"!\" ! x.replace(\"H\", \"J\")' <<<'Hello world'\n  JELLO!\n\n\n\nAutomatically import modules you need: ::\n\n   $ pype stack 'itertools.repeat(x, 2) ! \"\".join' <<<hello,world!\n   hello,world!\n   hello,world!\n\n\n\nCommands\n~~~~~~~~\n\n``map``\n_______\n\nUse ``map`` to act on each input item. ::\n\n   $ pype map 'x * 2' <<<'a\\nbb\\n'\n   aa\n   bbbb\n\n``filter``\n__________\n\n\nUse ``filter`` to evaluate a condition on each line of input and exclude false values. ::\n\n   $  pype filter 'len(x) > 1' <<<'a\\nbb\\nccc\\n'\n   bb\n   ccc\n\n\n``apply``\n_________\n\nUse ``apply`` to act on the sequence of items. ::\n\n    $   pype apply 'len(x)' <<<'a\\nbb\\n'\n    2\n\n\n``stack``\n_________\n\nUse ``stack`` to treat the input as a single string, including newlines. ::\n\n    $  pype stack 'len(x)' <<<'a\\nbb\\n'\n    5\n\nUse ``eval`` to evaluate a python expression without any input. ::\n\n   $ pype eval 1+1\n   2\n\n``reduce``\n__________\n\nUse ``reduce`` to evaluate a function of two arguments successively over a sequence, like `functools.reduce <https://docs.python.org/3/library/functools.html#functools.reduce>`_.\n\nFor example, to multiply all the values together, first convert each value to ``int`` with ``map``, then use ``reduce`` to successively multiply each item with the product. ::\n\n\n   $ pype map int reduce operator.mul <<EOF\n   1\n   2\n   3\n   4\n   EOF\n\n   24\n\n\n\n\nAutocall\n~~~~~~~~\n\nYou don't need to explicitly call the function with ``f(x)``; just use ``f``. For example, instead of ::\n\n  $ pype map 'len(x)' <<<'a\\nbb'\n  5\n\ntry ::\n\n  $ pype map len <<<'a\\nbb'\n  5\n\n\n\nAsync\n~~~~~\n\nMaking sequential requests is slow. These requests take 20 seconds to complete. ::\n\n   $ time pype map 'requests.get ! x.text ! len' apply max <<EOF\n   http://httpbin.org/delay/5\n   http://httpbin.org/delay/1\n   http://httpbin.org/delay/4\n   http://httpbin.org/delay/3\n   http://httpbin.org/delay/4\n   EOF\n\n   302\n\n   0.61s user\n   0.06s system\n   19.612 total\n\nConcurrent requests can go much faster. The same requests now take only 6 seconds. Use ``amap``, or ``afilter``, or ``reduce`` with ``await some_async_function`` to get concurrency out of the box. ::\n\n   $ time pype amap 'await asks.get ! x.text ! len' apply max <<EOF\n   http://httpbin.org/delay/5\n   http://httpbin.org/delay/1\n   http://httpbin.org/delay/4\n   http://httpbin.org/delay/3\n   http://httpbin.org/delay/4\n   EOF\n\n   297\n\n   0.57s user\n   0.08s system\n   5.897 total\n\n\nAsync streaming\n~~~~~~~~~~~~~~~\n\n``amap`` and ``afilter`` values are handled in streaming fashion, while retaining the order of the input items in the output. The order of function calls is not constrained -- if you need the function to be **called** with items in a specific order, use the synchronous version.\n\nMaking concurrent requests, each response is printed one at a time, as soon as (1) it is ready and (2) all of the preceding requests have already been handled.\n\nFor example, the ``3 seconds`` item is ready before the preceding ``4 seconds`` item, but it is held until the ``4 seconds`` is ready because ``4 seconds`` was started first, so the ordering of the input items is maintained in the output.\n\n::\n\n    $ time pype --exec-before 'import datetime; now=datetime.datetime.utcnow; START_TIME=now(); print(\"Elapsed time | Response size\")' map 'await asks.get !  f\"{(now() - START_TIME).seconds} seconds    | {len(x.content)} bytes\"'  <<EOF\n    http://httpbin.org/delay/1\n    http://httpbin.org/delay/2\n    http://httpbin.org/delay/4\n    http://httpbin.org/delay/3\n    EOF\n    Elapsed time | Response size\n    1 seconds    | 297 bytes\n    2 seconds    | 297 bytes\n    4 seconds    | 297 bytes\n    3 seconds    | 297 bytes\n\n\n\nConfiguration\n~~~~~~~~~~~~~\n\nAdd code to automatically execute, into your config file.\n\nFor example: ::\n\n  # ~/.config/pype/config.toml\n\n  exec_before = \"\"\"\n\n  from itertools import *\n  from collections import Counter\n\n  \"\"\"\n\nThen you can directly use the imported objects without referencing the module. ::\n\n\n    $ pype map 'Counter ! json.dumps' <<<'hello\\nworld\\n'\n    {\"h\": 1, \"e\": 1, \"l\": 2, \"o\": 1}\n    {\"w\": 1, \"o\": 1, \"r\": 1, \"l\": 1, \"d\": 1}\n\n\nYou can set any of the ``pype`` options in your config. For example, to set a different default value for the concurrency maximum ``pype --max-concurrent``, add ``max_concurrent`` to your config file (note the underscore): ::\n\n  # ~/.config/pype/config.toml\n\n  max_concurrent = 10\n\nthen just use ``pype`` as normal.\n\n\n\nAliases\n~~~~~~~~~~~~~~~~~~\n\nDefine new commands in your config file which provide aliases to other commands. For example, this config adds a ``jsonl`` command for reading jsonlines streams into Python objects, by calling calling out to the ``map`` traversal. ::\n\n\n   [[alias]]\n\n   name = \"jsonl\"\n   short_help = \"Load jsonlines into python objects.\"\n\n   [[alias.stage]]\n\n   command = \"map\"\n   options = []\n   arguments = [ \"json.loads ! types.SimpleNameSpace(**x)\" ]\n\n\nNow we can use it like a regular command: ::\n\n    $ pype jsonl  <<< $'{\"a\":1, \"b\":2}\\n{\"a\": 5, \"b\":9}'\n    X(a=1, b=2)\n    X(a=5, b=9)\n\n\nThe new command ``jsonl`` can be used in pipelines as well. 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