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    "\"\"\"\n",
    "Iterators are often used to construct\n",
    "\n",
    "    producer/consumer pipelines\n",
    "    \n",
    "\"\"\"\n",
    "\n",
    "# Producer/consumer construct:\n",
    "\n",
    "# Producer\n",
    "def follow(f):\n",
    "    ...\n",
    "    while True:\n",
    "        ...\n",
    "        yield line        # Produces value in `line` below\n",
    "        ...\n",
    "\n",
    "# Consumer\n",
    "for line in follow(f):    # Consumes value from `yield` above\n",
    "    ...\n"
   ]
  },
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    "\"\"\"\n",
    "Here's a typical producre/consumer pipeline:\n",
    "\n",
    "    producer → processing → processing → consumer\n",
    "    \n",
    "The producer is typically a generator. \n",
    "(Although it could also be a list of some other sequence.)\n",
    "Producers use \"yield\" to feeds data into the pipeline.\n",
    "\n",
    "Consumer is a for-loop. \n",
    "It gets items and does something with them.\n",
    "\n",
    "A \"processing\" node is a combine producer/consumer node.\n",
    "Intermediate processing stages simultaneously consume and produce items. \n",
    "They might modify the data stream. They can also filter (discarding items).\n",
    "\"\"\"\n",
    "\n",
    "# How to setup Producer/processing/consumer pipeline in Python\n",
    "\n",
    "def producer():\n",
    "    ...\n",
    "    yield item\n",
    "    ...\n",
    "\n",
    "\n",
    "def consumer(s)\n",
    "    for item in s:\n",
    "        ...\n",
    "\n",
    "def processing(s):\n",
    "    for item in s:\n",
    "        ...\n",
    "        yield newitem\n",
    "        ...\n",
    "        \n",
    "# Code to setup the pipeline\n",
    "a = producer()\n",
    "b = processing(a)\n",
    "c = consumer(b)\n"
   ]
  }
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